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* 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>
198 lines
5.6 KiB
Cheetah
198 lines
5.6 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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SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get 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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SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get SLUG 2>/dev/null)
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~/.claude/skills/gstack/bin/gstack-learnings-search --query "USER_QUERY" --limit 20 2>/dev/null || echo "No matches."
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```
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Replace USER_QUERY with the user's search terms. Present results clearly.
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---
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## Prune
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Check learnings for staleness and contradictions.
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```bash
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SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get 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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SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get SLUG 2>/dev/null)
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~/.claude/skills/gstack/bin/gstack-learnings-search --limit 50 2>/dev/null
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```
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Format the output as a markdown section:
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```markdown
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## Project Learnings
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### Patterns
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- **[key]**: [insight] (confidence: N/10)
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### Pitfalls
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- **[key]**: [insight] (confidence: N/10)
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### Preferences
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- **[key]**: [insight]
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### Architecture
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- **[key]**: [insight] (confidence: N/10)
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```
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Present the formatted output to the user. Ask if they want to append it to CLAUDE.md
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or save it as a separate file.
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---
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## Stats
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Show summary statistics about the project's learnings.
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```bash
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SLUG=$(~/.claude/skills/gstack/bin/gstack-slug --get SLUG 2>/dev/null)
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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}"
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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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