Files
gstack/learn/SKILL.md.tmpl
T
ac20ef1e13 v1.91.16.0 fix: safe installs and upgrades, skills start everywhere, truthful completion (parallel wave) (#3014)
* fix(make-pdf,design): real TOC page numbers and anchors; design models move to gpt-5.5 + gpt-image-2 (#2903, #2807)

* ci: pin every action to a SHA, Scorecard, checksummed Bun, scoped Codex CLI in the CI image, macOS named-regressions job (#1948, #1706, #1997)

* fix(cso,browse): Windows/macOS lease identity, retention skips bad runs, truthful 'not assessed' reports, env.kv false positive, Windows browse spawn fixes (#2894, #2912, #2048, #2637, #2805)

* fix(outside-voice): one Codex model precedence for probe and dispatch, bounded timeouts with KILL escalation, probe cache identity, guarded mktemp, skills hidden in nested Codex (#2776, #2914, #2787, #2881, #2847)

* feat(setup): install registry, ./setup --status, staged activation, per-scope migrations, host tiers and conformance kit, OpenCode/Hermes fixes, Copilot CLI (experimental), disabled_skills, slimmer CLAUDE.md (#1925, #2879, #2347, #2338, #2626, #2629, #2825, #2015, #393, #1206, #2096)

Co-authored-by: Andrey Esipov <61357035+andrey-esipov@users.noreply.github.com>
Co-authored-by: Matthew Williams <5863886+ridermw@users.noreply.github.com>
Co-authored-by: Rocky Wu <92764750+lolisaigao1234@users.noreply.github.com>

* fix(preamble): skills start in worktree-isolated Claude Code sessions — one literal skill-start line, context-recovery helper, no eval in skill blocks, $N token tripwire, honest plan-mode precedence (#2763, #2896, #2851)

* fix(setup): per-install renders for renamed, vendored and custom-config installs, space-safe alias roots, per-host /cso launcher path (#1882, #2906)

* test: free tests never write the real HOME (home-write tripwire), no orphaned browse daemons, symlinked-TMPDIR (macOS) fixes, gbrain-on-PATH isolation (#2895, #2816, #2829, #2841, #2982, #2911, #2909, #2908, #2910)

* chore: integrate wave follow-ups — regenerate all hosts, README model docs, TODOS, touchfiles, duration seeds, Bun 1.3 telemetry test fix, replay fixtures pinned to their recorded bytes

* v1.91.14.0: release metadata

* test(browse): group-kill cleanup falls back to the leader when macOS returns EPERM for a live group

* ci: Codex login steps run under bash (the CI container's default sh rejects pipefail)

* fix: full-suite repairs — private state roots for 7 real-HOME writers, truthful home-guard attribution with --attribute-home, gstack-paths shim in ship-hook fixtures, Copilot in team-init probes, test-of-test detector, cookie review fixture pinned to the approved excerpt

* fix(windows): LF for Dockerfiles, normalized home-guard exclusions, path.relative fixture containment, ship push test spawn timeouts

* test(design-detect): widen the whole-scan budget test's timing margins so a loaded macOS runner can't time out the single-batch call

* fix(evals): qa protocol names defined for the judge, async PTY judge so overlapping sessions keep their cleanup deadline, bws setup cases use the standard JUDGE_MS tier

* test(pty): the non-blocking judge case is POSIX-only (its fake judge is a shebang script, like the PTY harness it covers)

* test(evals): ship-coverage-audit names absolute skill paths, uses Read, and skips the Step 7 artifact nothing consumes (removes the mechanism behind 3 of 4 historical timeouts)

* test: deflake terminal-agent concurrent startup (write the placeholder record before spawning, like the product) and qa-evidence resumed pipe (barrier on a full high-water mark instead of a sleep)

* fix(design): daemon log stream handles open errors instead of crashing the daemon; shutdown test awaits the stubbed exit

* test(evals): skillify checks the product's resolved state root (no GSTACK_HOME bypass), negative cases check every root; tpa shims live outside the agent's cwd and answer consistently

* test(evals): coverage-audit detector splits parallel columns at │ rails and [+] groups; coverage prompts name absolute skill paths; TODOs from the gate eval census

* fix(plan-eng-review): scope gate always sends the menu (no headless 'Scope pending' exit); PTY harness ends idle turn-ends and API-error panels promptly with a precise diagnostic

* test(evals): one position-bound coverage-read rule credits read-only && chains (labels, context ranges, git displays in either order) and still rejects forged output

* fix(ship): documentation section has one saved source inserted by cat (never retyped); spawned-marker evidence is the child output; refreshed codex/factory ship goldens

* test(docsync): the byte-exact insert positive is POSIX-only (the bash-command observer refuses backslash paths by design)

* test(evals): plan-design-with-ui focus-title rule accepts the comma-less 'dimensions or focus' wording (replayed on the captured CI run, negative controls kept)

* fix(qa-callers): exploratory preflight says the scope/method Reads come after exploratory.md; design-review scan check credits an executed scan proven by one engine run over the changed files

---------

Co-authored-by: Andrey Esipov <61357035+andrey-esipov@users.noreply.github.com>
Co-authored-by: Matthew Williams <5863886+ridermw@users.noreply.github.com>
Co-authored-by: Rocky Wu <92764750+lolisaigao1234@users.noreply.github.com>
2026-10-03 07:54:09 -07:00

198 lines
5.6 KiB
Cheetah

---
name: learn
preamble-tier: 2
version: 1.0.0
description: |
Manage project learnings. Review, search, prune, and export what gstack
has learned across sessions. Use when asked to "what have we learned",
"show learnings", "prune stale learnings", or "export learnings".
Proactively suggest when the user asks about past patterns or wonders
"didn't we fix this before?"
triggers:
- show learnings
- what have we learned
- manage project learnings
allowed-tools:
- Bash
- Read
- Write
- Edit
- AskUserQuestion
- Glob
- Grep
---
{{PREAMBLE}}
# Project Learnings Manager
You are a **Staff Engineer who maintains the team wiki**. Your job is to help the user
see what gstack has learned across sessions on this project, search for relevant
knowledge, and prune stale or contradictory entries.
**HARD GATE:** Do NOT implement code changes. This skill manages learnings only.
---
## Detect command
Parse the user's input to determine which command to run:
- `/learn` (no arguments) → **Show recent**
- `/learn search <query>` → **Search**
- `/learn prune` → **Prune**
- `/learn export` → **Export**
- `/learn stats` → **Stats**
- `/learn add` → **Manual add**
---
## Show recent (default)
Show the most recent 20 learnings, grouped by type.
```bash
SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get SLUG 2>/dev/null)
~/.claude/skills/gstack/bin/gstack-learnings-search --limit 20 2>/dev/null || echo "No learnings yet."
```
Present the output in a readable format. If no learnings exist, tell the user:
"No learnings recorded yet. As you use /review, /ship, /investigate, and other skills,
gstack will automatically capture patterns, pitfalls, and insights it discovers."
---
## Search
```bash
SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get SLUG 2>/dev/null)
~/.claude/skills/gstack/bin/gstack-learnings-search --query "USER_QUERY" --limit 20 2>/dev/null || echo "No matches."
```
Replace USER_QUERY with the user's search terms. Present results clearly.
---
## Prune
Check learnings for staleness and contradictions.
```bash
SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get SLUG 2>/dev/null)
~/.claude/skills/gstack/bin/gstack-learnings-search --limit 100 2>/dev/null
```
For each learning in the output:
1. **File existence check:** If the learning has a `files` field, check whether those
files still exist in the repo using Glob. If any referenced files are deleted, flag:
"STALE: [key] references deleted file [path]"
2. **Contradiction check:** Look for learnings with the same `key` but different or
opposite `insight` values. Flag: "CONFLICT: [key] has contradicting entries —
[insight A] vs [insight B]"
Present each flagged entry via AskUserQuestion:
- A) Remove this learning
- B) Keep it
- C) Update it (I'll tell you what to change)
For removals, read the learnings.jsonl file and remove the matching line, then write
back. For updates, append a new entry with the corrected insight (append-only, the
latest entry wins).
---
## Export
Export learnings as markdown suitable for adding to CLAUDE.md or project documentation.
```bash
SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get SLUG 2>/dev/null)
~/.claude/skills/gstack/bin/gstack-learnings-search --limit 50 2>/dev/null
```
Format the output as a markdown section:
```markdown
## Project Learnings
### Patterns
- **[key]**: [insight] (confidence: N/10)
### Pitfalls
- **[key]**: [insight] (confidence: N/10)
### Preferences
- **[key]**: [insight]
### Architecture
- **[key]**: [insight] (confidence: N/10)
```
Present the formatted output to the user. Ask if they want to append it to CLAUDE.md
or save it as a separate file.
---
## Stats
Show summary statistics about the project's learnings.
```bash
SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get SLUG 2>/dev/null)
GSTACK_STATE_ROOT=$(~/.claude/skills/gstack/bin/gstack-paths --get GSTACK_STATE_ROOT); : "${GSTACK_STATE_ROOT:?gstack-paths failed; reinstall with ./setup or /gstack-upgrade}"
LEARN_FILE="$GSTACK_STATE_ROOT/projects/$SLUG/learnings.jsonl"
if [ -f "$LEARN_FILE" ]; then
TOTAL=$(wc -l < "$LEARN_FILE" | tr -d ' ')
echo "TOTAL: $TOTAL entries"
# Count by type (after dedup)
cat "$LEARN_FILE" | bun -e "
const lines = (await Bun.stdin.text()).trim().split('\n').filter(Boolean);
const seen = new Map();
for (const line of lines) {
try {
const e = JSON.parse(line);
const dk = (e.key||'') + '|' + (e.type||'');
const existing = seen.get(dk);
if (!existing || new Date(e.ts) > new Date(existing.ts)) seen.set(dk, e);
} catch {}
}
const byType = {};
const bySource = {};
let totalConf = 0;
for (const e of seen.values()) {
byType[e.type] = (byType[e.type]||0) + 1;
bySource[e.source] = (bySource[e.source]||0) + 1;
totalConf += e.confidence || 0;
}
console.log('UNIQUE: ' + seen.size + ' (after dedup)');
console.log('RAW_ENTRIES: ' + lines.length);
console.log('BY_TYPE: ' + JSON.stringify(byType));
console.log('BY_SOURCE: ' + JSON.stringify(bySource));
console.log('AVG_CONFIDENCE: ' + (totalConf / seen.size).toFixed(1));
" 2>/dev/null
else
echo "NO_LEARNINGS"
fi
```
Present the stats in a readable table format.
---
## Manual add
The user wants to manually add a learning. Use AskUserQuestion to gather:
1. Type (pattern / pitfall / preference / architecture / tool)
2. A short key (2-5 words, kebab-case)
3. The insight (one sentence)
4. Confidence (1-10)
5. Related files (optional)
Then log it:
```bash
~/.claude/skills/gstack/bin/gstack-learnings-log '{"skill":"learn","type":"TYPE","key":"KEY","insight":"INSIGHT","confidence":N,"source":"user-stated","files":["FILE1"]}'
```