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3 Commits
| Author | SHA1 | Message | Date | |
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Garry Tan
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1a4f0c9c15 |
v1.33.1.0 fix(learnings): token-OR query + task-shaped retrieval in 3 long skills (#1442)
* fix(learnings): use token-OR matching in gstack-learnings-search --query
Split the query on whitespace into tokens; a learning matches if ANY
token appears as a substring in ANY of key/insight/files. Previously
the whole query was a single substring, so multi-word queries like
"debug investigation" only matched learnings whose insight contained
that exact contiguous phrase, which is usually nothing.
Whitespace-only query falls through to no-query (matches today's no-flag
behavior). Single-word queries behave exactly as before.
Adds test/gstack-learnings-search.test.ts: 3 assertions covering
multi-token, single-token, and no-query backwards compat.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* feat(resolver): parameterized LEARNINGS_SEARCH with shell-injection guard
The {{LEARNINGS_SEARCH}} macro now accepts a query=KEYWORD argument that
gets interpolated as --query "<keyword>" into the generated bash. Empty
value falls through to no-query (principle of least surprise: a stray
{{LEARNINGS_SEARCH:query=}} placeholder gets today's behavior, not a
build failure). Pattern reuses the parameterized-macro parsing from
composition.ts. The 13 templates that don't pass a query stay
byte-identical in their generated SKILL.md output.
Shell-injection guard: the query value is whitelisted to
^[A-Za-z0-9 _-]+$ at gen-skill-docs time. Any \$(), backticks,
semicolons, or quotes throw a loud build error instead of emitting
executable bash. Static template queries are safe by inspection;
this defends against future contributors writing dangerous values.
Adds 5 assertions to test/gen-skill-docs.test.ts covering no-args,
claude+query=foo bar on both cross-project and project-scoped branches,
codex host variant, empty value semantics, and shell-injection payloads
(\$(whoami), backticks, ;, &, ", \\, \$x) throwing build errors.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* feat(skills): task-shaped queries + mid-flow refresh in /investigate /qa /ship
The three long skills now pull learnings keyed to their theme at the
top, then re-pull at phase boundaries as work shifts to new sub-tasks.
Top-of-skill queries (5-6 token unions, token-OR matched):
- investigate: "debug investigation root cause hypothesis bug fix"
- qa: "qa testing bug regression flake fixture"
- ship: "release ship version changelog merge pr"
Mid-flow refresh blocks (concrete keyword recipe + worked examples):
- investigate: between Phase 1 (hypothesis) and Phase 2 (analysis),
keyed to the hypothesis noun. Examples: auth-cookie, session-expiry.
- qa: between Phase 7 (triage) and Phase 8 (fix loop), keyed to the
buggy component name. Examples: checkout-button, signup-form.
- ship: just before Step 12 (VERSION bump), keyed to the headline
feature. Examples: learnings-search, pacing, worktree-ship.
Keyword recipe enforces alphanumeric+hyphen only (no quotes, slashes,
dots, colons) so dynamic queries cannot inject shell metacharacters.
The other 13 short-lived skills keep the bare {{LEARNINGS_SEARCH}} form.
Backwards-compat verified via diff: their generated SKILL.md output is
byte-identical to before this change.
Golden ship fixtures regenerated to match the new ship/SKILL.md output.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* chore: bump version and changelog (v1.33.1.0)
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* test: refresh codex+factory ship golden fixtures
Follow-up to
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Garry Tan
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8115951284 |
feat: recursive self-improvement — operational learning + full skill wiring (v0.13.8.0) (#647)
* refactor: remove dead contributor mode, replace with operational self-improvement slot Contributor mode never fired in 18 days of heavy use (required manual opt-in via gstack-config, gated behind _CONTRIB=true, wrote disconnected markdown). Removes: generateContributorMode(), _CONTRIB bash var, 2 E2E tests, touchfile entry, doc references. Cleans up skip-lists in plan-ceo-review, autoplan, review resolver, and document-release templates. The operational self-improvement system (next commit) replaces this slot with automatic learning capture that requires no opt-in. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: operational self-improvement — every skill learns from failures Adds universal operational learning capture to the preamble completion protocol. At the end of every skill session, the agent reflects on CLI failures, wrong approaches, and project quirks, logging them as type "operational" to the learnings JSONL. Future sessions surface these automatically. - generateCompletionStatus(ctx) now includes operational capture section - Preamble bash shows top 3 learnings inline when count > 5 - New "operational" type in generateLearningsLog alongside pattern/pitfall/etc - Updated unit tests + operational seed entry in learnings E2E Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: wire learnings into all insight-producing skills Adds LEARNINGS_SEARCH and/or LEARNINGS_LOG to 10 skill templates that produce reusable insights but were previously disconnected from the learning system: - office-hours, plan-ceo-review, plan-eng-review: add LOG (had SEARCH) - plan-design-review: add both SEARCH + LOG (had neither) - design-review, design-consultation, cso, qa, qa-only: add both - retro: add SEARCH (had LOG) 13 skills now fully participate in the learning loop (read + write). Every review, QA, investigation, and design session both consults prior learnings and contributes new ones. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: add operational-learning E2E test (gate-tier) Validates the write path: agent encounters a CLI failure, logs an operational learning to JSONL via gstack-learnings-log. Replaces the removed contributor-mode E2E test. Setup: temp git repo, copy bin scripts, set GSTACK_HOME. Prompt: simulated npm test failure needing --experimental-vm-modules. Assert: learnings.jsonl exists with type=operational entry. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: learnings-show E2E slug mismatch — seed at computed slug, not hardcoded The test seeded learnings at projects/test-project/ but gstack-slug computes the slug from basename(workDir) when no git remote exists. The agent's search looked at the wrong path and found nothing. Fix: compute slug the same way gstack-slug does (basename + sanitize) and seed the learnings there. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.13.8.0) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |
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Garry Tan
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ae0a9ad195 |
feat: GStack Learns — per-project self-learning infrastructure (v0.13.4.0) (#622)
* feat: learnings + confidence resolvers — cross-skill memory infrastructure Three new resolvers for the self-learning system: - LEARNINGS_SEARCH: tells skills to load prior learnings before analysis - LEARNINGS_LOG: tells skills to capture discoveries after completing work - CONFIDENCE_CALIBRATION: adds 1-10 confidence scoring to all review findings Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: learnings bin scripts — append-only JSONL read/write gstack-learnings-log: validates JSON, auto-injects timestamp, appends to ~/.gstack/projects/$SLUG/learnings.jsonl. Append-only (no mutation). gstack-learnings-search: reads/filters/dedupes learnings with confidence decay (observed/inferred lose 1pt/30d), cross-project discovery, and "latest winner" resolution per key+type. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: learnings count in preamble output Every skill now prints "LEARNINGS: N entries loaded" during preamble, making the compounding loop visible to the user. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: integrate learnings + confidence into 9 skill templates Add {{LEARNINGS_SEARCH}}, {{LEARNINGS_LOG}}, and {{CONFIDENCE_CALIBRATION}} placeholders to review, ship, plan-eng-review, plan-ceo-review, office-hours, investigate, retro, and cso templates. Regenerated all SKILL.md files. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: /learn skill — manage project learnings New skill for reviewing, searching, pruning, and exporting what gstack has learned across sessions. Commands: /learn, /learn search, /learn prune, /learn export, /learn stats, /learn add. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: self-learning roadmap — 5-release design doc Covers: R1 GStack Learns (v0.14), R2 Review Army (v0.15), R3 Smart Ceremony (v0.16), R4 /autoship (v0.17), R5 Studio (v0.18). Inspired by Compound Engineering, adapted to GStack's architecture. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: learnings bin script unit tests — 13 tests, free Tests gstack-learnings-log (valid/invalid JSON, timestamp injection, append-only) and gstack-learnings-search (dedup, type/query/limit filters, confidence decay, user-stated no-decay, malformed JSONL skip). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.13.4.0) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: learnings resolver + bin script edge case tests — 21 new tests, free Adds gen-skill-docs coverage for LEARNINGS_SEARCH, LEARNINGS_LOG, and CONFIDENCE_CALIBRATION resolvers. Adds bin script edge cases: timestamp preservation, special characters, files array, sort order, type grouping, combined filtering, missing fields, confidence floor at 0. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: sync package.json version with VERSION file (0.13.4.0) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: gitignore .factory/ — generated output, not source Same pattern as .claude/skills/ and .agents/. These SKILL.md files are generated from .tmpl templates by gen:skill-docs --host factory. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: /learn E2E — seed 3 learnings, verify agent surfaces them Seeds N+1 query pattern, stale cache pitfall, and rubocop preference into learnings.jsonl, then runs /learn and checks that at least 2/3 appear in the agent's output. Gate tier, ~$0.25/run. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> |