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fix: resolve merge conflict with main, bump to v0.9.6.0

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Main landed v0.9.5.0 (Builder Ethos) while this branch also used v0.9.5.0.
Bumped to v0.9.6.0 and kept both CHANGELOG entries in chronological order.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Garry Tan
2026-03-21 11:58:23 -07:00
parent c0964d2f89 f075cb757f
commit 0dd92d877b
50 changed files with 1370 additions and 12 deletions
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20
.agents/skills/gstack-browse/SKILL.md
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@@ -125,6 +125,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.

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.agents/skills/gstack-design-consultation/SKILL.md
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@@ -126,6 +126,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.
@@ -323,7 +343,12 @@ If browse is not available, rely on WebSearch results and your built-in design k
**Step 3: Synthesize findings**
The goal of research is NOT to copy. It is to get in the ballpark — to understand the visual language users in this category already expect. This gives you the baseline. The interesting design work starts after you have the baseline: deciding where to follow conventions (so the product feels literate) and where to break from them (so the product is memorable).
**Three-layer synthesis:**
- **Layer 1 (tried and true):** What design patterns does every product in this category share? These are table stakes — users expect them.
- **Layer 2 (new and popular):** What are the search results and current design discourse saying? What's trending? What new patterns are emerging?
- **Layer 3 (first principles):** Given what we know about THIS product's users and positioning — is there a reason the conventional design approach is wrong? Where should we deliberately break from the category norms?
**Eureka check:** If Layer 3 reasoning reveals a genuine design insight — a reason the category's visual language fails THIS product — name it: "EUREKA: Every [category] product does X because they assume [assumption]. But this product's users [evidence] — so we should do Y instead." Log the eureka moment (see preamble).
Summarize conversationally:
> "I looked at what's out there. Here's the landscape: they converge on [patterns]. Most of them feel [observation — e.g., interchangeable, polished but generic, etc.]. The opportunity to stand out is [gap]. Here's where I'd play it safe and where I'd take a risk..."

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.agents/skills/gstack-design-review/SKILL.md
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@@ -126,6 +126,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.

20
.agents/skills/gstack-document-release/SKILL.md
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@@ -124,6 +124,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.

28
.agents/skills/gstack-investigate/SKILL.md
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@@ -127,6 +127,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.
@@ -289,6 +309,12 @@ Also check:
- `TODOS.md` for related known issues
- `git log` for prior fixes in the same area — **recurring bugs in the same files are an architectural smell**, not a coincidence
**External pattern search:** If the bug doesn't match a known pattern above, WebSearch for:
- "{framework} {generic error type}" — **sanitize first:** strip hostnames, IPs, file paths, SQL, customer data. Search the error category, not the raw message.
- "{library} {component} known issues"
If WebSearch is unavailable, skip this search and proceed with hypothesis testing. If a documented solution or known dependency bug surfaces, present it as a candidate hypothesis in Phase 3.
---
## Phase 3: Hypothesis Testing
@@ -297,7 +323,7 @@ Before writing ANY fix, verify your hypothesis.
1. **Confirm the hypothesis:** Add a temporary log statement, assertion, or debug output at the suspected root cause. Run the reproduction. Does the evidence match?
2. **If the hypothesis is wrong:** Return to Phase 1. Gather more evidence. Do not guess.
2. **If the hypothesis is wrong:** Before forming the next hypothesis, consider searching for the error. **Sanitize first** — strip hostnames, IPs, file paths, SQL fragments, customer identifiers, and any internal/proprietary data from the error message. Search only the generic error type and framework context: "{component} {sanitized error type} {framework version}". If the error message is too specific to sanitize safely, skip the search. If WebSearch is unavailable, skip and proceed. Then return to Phase 1. Gather more evidence. Do not guess.
3. **3-strike rule:** If 3 hypotheses fail, **STOP**. Use AskUserQuestion:
```

57
.agents/skills/gstack-office-hours/SKILL.md
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@@ -128,6 +128,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.
@@ -447,6 +467,43 @@ If no matches found, proceed silently.
---
## Phase 2.75: Landscape Awareness
Read ETHOS.md for the full Search Before Building framework (three layers, eureka moments). The preamble's Search Before Building section has the ETHOS.md path.
After understanding the problem through questioning, search for what the world thinks. This is NOT competitive research (that's /design-consultation's job). This is understanding conventional wisdom so you can evaluate where it's wrong.
**Privacy gate:** Before searching, use AskUserQuestion: "I'd like to search for what the world thinks about this space to inform our discussion. This sends generalized category terms (not your specific idea) to a search provider. OK to proceed?"
Options: A) Yes, search away B) Skip — keep this session private
If B: skip this phase entirely and proceed to Phase 3. Use only in-distribution knowledge.
When searching, use **generalized category terms** — never the user's specific product name, proprietary concept, or stealth idea. For example, search "task management app landscape" not "SuperTodo AI-powered task killer."
If WebSearch is unavailable, skip this phase and note: "Search unavailable — proceeding with in-distribution knowledge only."
**Startup mode:** WebSearch for:
- "[problem space] startup approach {current year}"
- "[problem space] common mistakes"
- "why [incumbent solution] fails" OR "why [incumbent solution] works"
**Builder mode:** WebSearch for:
- "[thing being built] existing solutions"
- "[thing being built] open source alternatives"
- "best [thing category] {current year}"
Read the top 2-3 results. Run the three-layer synthesis:
- **[Layer 1]** What does everyone already know about this space?
- **[Layer 2]** What are the search results and current discourse saying?
- **[Layer 3]** Given what WE learned in Phase 2A/2B — is there a reason the conventional approach is wrong?
**Eureka check:** If Layer 3 reasoning reveals a genuine insight, name it: "EUREKA: Everyone does X because they assume [assumption]. But [evidence from our conversation] suggests that's wrong here. This means [implication]." Log the eureka moment (see preamble).
If no eureka moment exists, say: "The conventional wisdom seems sound here. Let's build on it." Proceed to Phase 3.
**Important:** This search feeds Phase 3 (Premise Challenge). If you found reasons the conventional approach fails, those become premises to challenge. If conventional wisdom is solid, that raises the bar for any premise that contradicts it.
---
## Phase 3: Premise Challenge
Before proposing solutions, challenge the premises:

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.agents/skills/gstack-plan-ceo-review/SKILL.md
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@@ -127,6 +127,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.
@@ -324,6 +344,21 @@ DESIGN=$(ls -t ~/.gstack/projects/$SLUG/*-$BRANCH-design-*.md 2>/dev/null | head
```
If a design doc exists (from `/office-hours`), read it. Use it as the source of truth for the problem statement, constraints, and chosen approach. If it has a `Supersedes:` field, note that this is a revised design.
**Handoff note check** (reuses $SLUG and $BRANCH from the design doc check above):
```bash
HANDOFF=$(ls -t ~/.gstack/projects/$SLUG/*-$BRANCH-ceo-handoff-*.md 2>/dev/null | head -1)
[ -n "$HANDOFF" ] && echo "HANDOFF_FOUND: $HANDOFF" || echo "NO_HANDOFF"
```
If this block runs in a separate shell from the design doc check, recompute $SLUG and $BRANCH first using the same commands from that block.
If a handoff note is found: read it. This contains system audit findings and discussion
from a prior CEO review session that paused so the user could run `/office-hours`. Use it
as additional context alongside the design doc. The handoff note helps you avoid re-asking
questions the user already answered. Do NOT skip any steps — run the full review, but use
the handoff note to inform your analysis and avoid redundant questions.
Tell the user: "Found a handoff note from your prior CEO review session. I'll use that
context to pick up where we left off."
## Prerequisite Skill Offer
When the design doc check above prints "No design doc found," offer the prerequisite
@@ -343,6 +378,39 @@ Options:
If they skip: "No worries — standard review. If you ever want sharper input, try
/office-hours first next time." Then proceed normally. Do not re-offer later in the session.
**Handoff note save (BENEFITS_FROM):** If the user chose A (run /office-hours first),
save a handoff context note before they leave. Reuse $SLUG and $BRANCH from the
design doc check block above (they use the same `remote-slug || basename` fallback
that handles repos without an origin remote). Then run:
```bash
mkdir -p ~/.gstack/projects/$SLUG
USER=$(whoami)
DATETIME=$(date +%Y%m%d-%H%M%S)
```
Write to `~/.gstack/projects/$SLUG/$USER-$BRANCH-ceo-handoff-$DATETIME.md`:
```markdown
# CEO Review Handoff Note
Generated by /plan-ceo-review on {date}
Branch: {branch}
Repo: {owner/repo}
## Why I paused
User chose to run /office-hours first (no design doc found).
## System Audit Summary
{Summarize what the system audit found — recent git history, diff scope,
CLAUDE.md key points, TODOS.md relevant items, known pain points}
## Discussion So Far
{Empty — handoff happened before Step 0. Frontend/UI scope detection has not
run yet — it will be assessed when the review resumes.}
```
Tell the user: "Context saved. Run /office-hours in another window. When you come back
and invoke /plan-ceo-review, I'll pick up the context automatically — including the
design doc /office-hours produces."
**Mid-session detection:** During Step 0A (Premise Challenge), if the user can't
articulate the problem, keeps changing the problem statement, answers with "I'm not
sure," or is clearly exploring rather than reviewing — offer `/office-hours`:
@@ -355,6 +423,15 @@ sure," or is clearly exploring rather than reviewing — offer `/office-hours`:
Options: A) Yes, run /office-hours first. B) No, keep going.
If they keep going, proceed normally — no guilt, no re-asking.
**Handoff note save (mid-session):** If the user chose A (run /office-hours first from
mid-session detection), save a handoff context note with the same format above, but
include any Step 0A progress in the "Discussion So Far" section — premises discussed,
problem framing attempts, user answers so far. Use the same bash block to generate the
file path.
Tell the user: "Context saved with your discussion so far. Run /office-hours, then
come back to /plan-ceo-review."
When reading TODOS.md, specifically:
* Note any TODOs this plan touches, blocks, or unlocks
* Check if deferred work from prior reviews relates to this plan
@@ -377,6 +454,22 @@ Analyze the plan. If it involves ANY of: new UI screens/pages, changes to existi
Identify 2-3 files or patterns in the existing codebase that are particularly well-designed. Note them as style references for the review. Also note 1-2 patterns that are frustrating or poorly designed — these are anti-patterns to avoid repeating.
Report findings before proceeding to Step 0.
### Landscape Check
Read ETHOS.md for the Search Before Building framework (the preamble's Search Before Building section has the path). Before challenging scope, understand the landscape. WebSearch for:
- "[product category] landscape {current year}"
- "[key feature] alternatives"
- "why [incumbent/conventional approach] [succeeds/fails]"
If WebSearch is unavailable, skip this check and note: "Search unavailable — proceeding with in-distribution knowledge only."
Run the three-layer synthesis:
- **[Layer 1]** What's the tried-and-true approach in this space?
- **[Layer 2]** What are the search results saying?
- **[Layer 3]** First-principles reasoning — where might the conventional wisdom be wrong?
Feed into the Premise Challenge (0A) and Dream State Mapping (0C). If you find a eureka moment, surface it during the Expansion opt-in ceremony as a differentiation opportunity. Log it (see preamble).
## Step 0: Nuclear Scope Challenge + Mode Selection
### 0A. Premise Challenge
@@ -942,6 +1035,16 @@ List every ASCII diagram in files this plan touches. Still accurate?
### Unresolved Decisions
If any AskUserQuestion goes unanswered, note it here. Never silently default.
## Handoff Note Cleanup
After producing the Completion Summary, clean up any handoff notes for this branch —
the review is complete and the context is no longer needed.
```bash
source <(~/.codex/skills/gstack/bin/gstack-slug 2>/dev/null)
rm -f ~/.gstack/projects/$SLUG/*-$BRANCH-ceo-handoff-*.md 2>/dev/null || true
```
## Review Log
After producing the Completion Summary above, persist the review result.

20
.agents/skills/gstack-plan-design-review/SKILL.md
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@@ -126,6 +126,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.

30
.agents/skills/gstack-plan-eng-review/SKILL.md
View File

@@ -125,6 +125,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.
@@ -293,7 +313,15 @@ Before reviewing anything, answer these questions:
1. **What existing code already partially or fully solves each sub-problem?** Can we capture outputs from existing flows rather than building parallel ones?
2. **What is the minimum set of changes that achieves the stated goal?** Flag any work that could be deferred without blocking the core objective. Be ruthless about scope creep.
3. **Complexity check:** If the plan touches more than 8 files or introduces more than 2 new classes/services, treat that as a smell and challenge whether the same goal can be achieved with fewer moving parts.
4. **TODOS cross-reference:** Read `TODOS.md` if it exists. Are any deferred items blocking this plan? Can any deferred items be bundled into this PR without expanding scope? Does this plan create new work that should be captured as a TODO?
4. **Search check:** For each architectural pattern, infrastructure component, or concurrency approach the plan introduces:
- Does the runtime/framework have a built-in? Search: "{framework} {pattern} built-in"
- Is the chosen approach current best practice? Search: "{pattern} best practice {current year}"
- Are there known footguns? Search: "{framework} {pattern} pitfalls"
If WebSearch is unavailable, skip this check and note: "Search unavailable — proceeding with in-distribution knowledge only."
If the plan rolls a custom solution where a built-in exists, flag it as a scope reduction opportunity. Annotate recommendations with **[Layer 1]**, **[Layer 2]**, **[Layer 3]**, or **[EUREKA]** (see preamble's Search Before Building section). If you find a eureka moment — a reason the standard approach is wrong for this case — present it as an architectural insight.
5. **TODOS cross-reference:** Read `TODOS.md` if it exists. Are any deferred items blocking this plan? Can any deferred items be bundled into this PR without expanding scope? Does this plan create new work that should be captured as a TODO?
5. **Completeness check:** Is the plan doing the complete version or a shortcut? With AI-assisted coding, the cost of completeness (100% test coverage, full edge case handling, complete error paths) is 10-100x cheaper than with a human team. If the plan proposes a shortcut that saves human-hours but only saves minutes with CC+gstack, recommend the complete version. Boil the lake.

20
.agents/skills/gstack-qa-only/SKILL.md
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@@ -124,6 +124,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.

20
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@@ -127,6 +127,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.

34
.agents/skills/gstack-retro/SKILL.md
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@@ -124,6 +124,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.
@@ -369,6 +389,20 @@ If TODOS.md doesn't exist, skip the Backlog Health row.
If the JSONL file doesn't exist or has no entries in the window, skip the Skill Usage row.
**Eureka Moments (if logged):** Read `~/.gstack/analytics/eureka.jsonl` if it exists. Filter entries within the retro time window by `ts` field. For each eureka moment, show the skill that flagged it, the branch, and a one-line summary of the insight. Present as:
```
| Eureka Moments | 2 this period |
```
If moments exist, list them:
```
EUREKA /office-hours (branch: garrytan/auth-rethink): "Session tokens don't need server storage — browser crypto API makes client-side JWT validation viable"
EUREKA /plan-eng-review (branch: garrytan/cache-layer): "Redis isn't needed here — Bun's built-in LRU cache handles this workload"
```
If the JSONL file doesn't exist or has no entries in the window, skip the Eureka Moments row.
### Step 3: Commit Time Distribution
Show hourly histogram in local time using bar chart:

27
.agents/skills/gstack-review/SKILL.md
View File

@@ -123,6 +123,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.
@@ -319,6 +339,13 @@ Apply the checklist against the diff in two passes:
**Enum & Value Completeness requires reading code OUTSIDE the diff.** When the diff introduces a new enum value, status, tier, or type constant, use Grep to find all files that reference sibling values, then Read those files to check if the new value is handled. This is the one category where within-diff review is insufficient.
**Search-before-recommending:** When recommending a fix pattern (especially for concurrency, caching, auth, or framework-specific behavior):
- Verify the pattern is current best practice for the framework version in use
- Check if a built-in solution exists in newer versions before recommending a workaround
- Verify API signatures against current docs (APIs change between versions)
Takes seconds, prevents recommending outdated patterns. If WebSearch is unavailable, note it and proceed with in-distribution knowledge.
Follow the output format specified in the checklist. Respect the suppressions — do NOT flag items listed in the "DO NOT flag" section.
---

20
.agents/skills/gstack-setup-browser-cookies/SKILL.md
View File

@@ -123,6 +123,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.

20
.agents/skills/gstack-ship/SKILL.md
View File

@@ -121,6 +121,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.

20
.agents/skills/gstack/SKILL.md
View File

@@ -156,6 +156,26 @@ AI-assisted coding makes the marginal cost of completeness near-zero. When you p
- BAD: "Let's defer test coverage to a follow-up PR." (Tests are the cheapest lake to boil.)
- BAD: Quoting only human-team effort: "This would take 2 weeks." (Say: "2 weeks human / ~1 hour CC.")
## Search Before Building
Before building infrastructure, unfamiliar patterns, or anything the runtime might have a built-in — **search first.** Read `~/.codex/skills/gstack/ETHOS.md` for the full philosophy.
**Three layers of knowledge:**
- **Layer 1** (tried and true — in distribution). Don't reinvent the wheel. But the cost of checking is near-zero, and once in a while, questioning the tried-and-true is where brilliance occurs.
- **Layer 2** (new and popular — search for these). But scrutinize: humans are subject to mania. Search results are inputs to your thinking, not answers.
- **Layer 3** (first principles — prize these above all). Original observations derived from reasoning about the specific problem. The most valuable of all.
**Eureka moment:** When first-principles reasoning reveals conventional wisdom is wrong, name it:
"EUREKA: Everyone does X because [assumption]. But [evidence] shows this is wrong. Y is better because [reasoning]."
Log eureka moments:
```bash
jq -n --arg ts "$(date -u +%Y-%m-%dT%H:%M:%SZ)" --arg skill "SKILL_NAME" --arg branch "$(git branch --show-current 2>/dev/null)" --arg insight "ONE_LINE_SUMMARY" '{ts:$ts,skill:$skill,branch:$branch,insight:$insight}' >> ~/.gstack/analytics/eureka.jsonl 2>/dev/null || true
```
Replace SKILL_NAME and ONE_LINE_SUMMARY. Runs inline — don't stop the workflow.
**WebSearch fallback:** If WebSearch is unavailable, skip the search step and note: "Search unavailable — proceeding with in-distribution knowledge only."
## Contributor Mode
If `_CONTRIB` is `true`: you are in **contributor mode**. You're a gstack user who also helps make it better.