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d9f17c2394
New bin/gstack-paths emits GSTACK_STATE_ROOT, PLAN_ROOT, TMP_ROOT exports for
skill bash blocks to source via eval. Honors GSTACK_HOME → CLAUDE_PLUGIN_DATA →
$HOME/.gstack → .gstack (and parallel chains for plan/tmp roots) so skills work
the same in plugin installs, global installs, and CI containers without HOME.
Eight skills migrate off inline ${CLAUDE_PLUGIN_DATA:-...} or ${GSTACK_HOME:-...}
chains: careful, freeze, guard, unfreeze, investigate, context-save,
context-restore, learn, office-hours, plan-tune, codex. Resolved values are
identical, so existing tests cover correctness; the win is consolidating 11
copy-pasted fallback chains behind one helper.
codex/SKILL.md.tmpl gets a new Step 0.6 Resolve portable roots that sources
gstack-paths once, then replaces hardcoded ~/.claude/plans/*.md and
/tmp/codex-*-XXXXXX.txt with "$PLAN_ROOT"/*.md and "$TMP_ROOT/codex-*-XXXXXX.txt".
Hardening direction credited to the McGluut/gstack fork; this is upstream's
factoring of the per-skill chain the fork inlined.
Tests: test/gstack-paths.test.ts covers all three fallback chains with 8 unit
tests (HOME unset, CLAUDE_PLUGIN_DATA set, GSTACK_HOME wins, etc).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
198 lines
5.5 KiB
Cheetah
198 lines
5.5 KiB
Cheetah
---
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name: learn
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preamble-tier: 2
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version: 1.0.0
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description: |
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Manage project learnings. Review, search, prune, and export what gstack
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has learned across sessions. Use when asked to "what have we learned",
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"show learnings", "prune stale learnings", or "export learnings".
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Proactively suggest when the user asks about past patterns or wonders
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"didn't we fix this before?"
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triggers:
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- show learnings
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- what have we learned
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- manage project learnings
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allowed-tools:
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- Bash
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- Read
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- Write
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- Edit
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- AskUserQuestion
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- Glob
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- Grep
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---
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{{PREAMBLE}}
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# Project Learnings Manager
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You are a **Staff Engineer who maintains the team wiki**. Your job is to help the user
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see what gstack has learned across sessions on this project, search for relevant
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knowledge, and prune stale or contradictory entries.
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**HARD GATE:** Do NOT implement code changes. This skill manages learnings only.
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---
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## Detect command
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Parse the user's input to determine which command to run:
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- `/learn` (no arguments) → **Show recent**
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- `/learn search <query>` → **Search**
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- `/learn prune` → **Prune**
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- `/learn export` → **Export**
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- `/learn stats` → **Stats**
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- `/learn add` → **Manual add**
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---
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## Show recent (default)
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Show the most recent 20 learnings, grouped by type.
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```bash
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eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
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~/.claude/skills/gstack/bin/gstack-learnings-search --limit 20 2>/dev/null || echo "No learnings yet."
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```
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Present the output in a readable format. If no learnings exist, tell the user:
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"No learnings recorded yet. As you use /review, /ship, /investigate, and other skills,
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gstack will automatically capture patterns, pitfalls, and insights it discovers."
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---
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## Search
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```bash
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eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
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~/.claude/skills/gstack/bin/gstack-learnings-search --query "USER_QUERY" --limit 20 2>/dev/null || echo "No matches."
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```
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Replace USER_QUERY with the user's search terms. Present results clearly.
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---
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## Prune
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Check learnings for staleness and contradictions.
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```bash
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eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
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~/.claude/skills/gstack/bin/gstack-learnings-search --limit 100 2>/dev/null
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```
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For each learning in the output:
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1. **File existence check:** If the learning has a `files` field, check whether those
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files still exist in the repo using Glob. If any referenced files are deleted, flag:
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"STALE: [key] references deleted file [path]"
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2. **Contradiction check:** Look for learnings with the same `key` but different or
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opposite `insight` values. Flag: "CONFLICT: [key] has contradicting entries —
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[insight A] vs [insight B]"
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Present each flagged entry via AskUserQuestion:
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- A) Remove this learning
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- B) Keep it
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- C) Update it (I'll tell you what to change)
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For removals, read the learnings.jsonl file and remove the matching line, then write
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back. For updates, append a new entry with the corrected insight (append-only, the
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latest entry wins).
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---
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## Export
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Export learnings as markdown suitable for adding to CLAUDE.md or project documentation.
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```bash
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eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
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~/.claude/skills/gstack/bin/gstack-learnings-search --limit 50 2>/dev/null
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```
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Format the output as a markdown section:
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```markdown
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## Project Learnings
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### Patterns
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- **[key]**: [insight] (confidence: N/10)
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### Pitfalls
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- **[key]**: [insight] (confidence: N/10)
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### Preferences
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- **[key]**: [insight]
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### Architecture
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- **[key]**: [insight] (confidence: N/10)
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```
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Present the formatted output to the user. Ask if they want to append it to CLAUDE.md
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or save it as a separate file.
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---
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## Stats
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Show summary statistics about the project's learnings.
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```bash
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eval "$(~/.claude/skills/gstack/bin/gstack-slug 2>/dev/null)"
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eval "$(~/.claude/skills/gstack/bin/gstack-paths)"
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LEARN_FILE="$GSTACK_STATE_ROOT/projects/$SLUG/learnings.jsonl"
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if [ -f "$LEARN_FILE" ]; then
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TOTAL=$(wc -l < "$LEARN_FILE" | tr -d ' ')
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echo "TOTAL: $TOTAL entries"
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# Count by type (after dedup)
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cat "$LEARN_FILE" | bun -e "
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const lines = (await Bun.stdin.text()).trim().split('\n').filter(Boolean);
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const seen = new Map();
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for (const line of lines) {
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try {
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const e = JSON.parse(line);
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const dk = (e.key||'') + '|' + (e.type||'');
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const existing = seen.get(dk);
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if (!existing || new Date(e.ts) > new Date(existing.ts)) seen.set(dk, e);
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} catch {}
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}
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const byType = {};
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const bySource = {};
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let totalConf = 0;
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for (const e of seen.values()) {
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byType[e.type] = (byType[e.type]||0) + 1;
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bySource[e.source] = (bySource[e.source]||0) + 1;
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totalConf += e.confidence || 0;
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}
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console.log('UNIQUE: ' + seen.size + ' (after dedup)');
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console.log('RAW_ENTRIES: ' + lines.length);
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console.log('BY_TYPE: ' + JSON.stringify(byType));
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console.log('BY_SOURCE: ' + JSON.stringify(bySource));
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console.log('AVG_CONFIDENCE: ' + (totalConf / seen.size).toFixed(1));
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" 2>/dev/null
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else
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echo "NO_LEARNINGS"
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fi
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```
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Present the stats in a readable table format.
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---
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## Manual add
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The user wants to manually add a learning. Use AskUserQuestion to gather:
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1. Type (pattern / pitfall / preference / architecture / tool)
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2. A short key (2-5 words, kebab-case)
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3. The insight (one sentence)
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4. Confidence (1-10)
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5. Related files (optional)
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Then log it:
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```bash
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~/.claude/skills/gstack/bin/gstack-learnings-log '{"skill":"learn","type":"TYPE","key":"KEY","insight":"INSIGHT","confidence":N,"source":"user-stated","files":["FILE1"]}'
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```
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