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retro

Use when a Claude Code session ends or is declared finished, a friction needs fixing, a reusable learning needs capturing, local memory needs promoting upward, or for cross-session audits — detect friction AND learnings, route each to the right destination, and gate 'done'. Triggers: /retro, /retro done, 'retrospective', 'capture this learning', 'fix this skill', 'promote memory', 'audit', 'alles erledigt'.

معلومات المصدر

المستودع
netresearch/retro-skill
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٨ أكتوبر ٢٠٢٦ في ٠٦:٠٦
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
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التفرعات
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خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
retro
description
Use when a Claude Code session ends or is declared finished, a friction needs fixing, a reusable learning needs capturing, local memory needs promoting upward, or for cross-session audits — detect friction AND learnings, route each to the right destination, and gate 'done'. Triggers: /retro, /retro done, 'retrospective', 'capture this learning', 'fix this skill', 'promote memory', 'audit', 'alles erledigt'.
license
(MIT AND CC-BY-SA-4.0). See LICENSE-MIT and LICENSE-CC-BY-SA-4.0
compatibility
Requires python3, uv, jq, and gh and/or glab (PR creation).
metadata
{"author":"Netresearch DTT GmbH","version":"2.0.0","repository":"https://github.com/netresearch/retro-skill"}
allowed-tools
Bash(python3 ${CLAUDE_SKILL_DIR}/scripts/*) Bash(bash ${CLAUDE_SKILL_DIR}/scripts/*) Bash(${CLAUDE_SKILL_DIR}/scripts/*) Bash(uv run ${CLAUDE_SKILL_DIR}/scripts/*) Bash(gh:*) Bash(glab:*) Bash(git:*) Bash(find:*) Bash(grep:*) Bash(jq:*) Read Write Edit Glob Grep Task
# Retro — LLM-driven Session Retrospection One LLM pass over a session or the memory backlog detects **friction and reusable learnings**, classifies each into one of seven destinations, and materializes approved ones. **Core principle:** No silent writes — every materialization needs approval. ## Modes - **`/retro`** — Sweep: the whole current session. - **`/retro "<problem>"`** — Spotlight: one described issue. - **`/retro outcome [session-id|--since N]`** — replay a past session by its outcomes. - **`/retro audit [--scope project|repo|skill]`** — cross-session architectural drift. - **`/retro promote`** — re-home already-written local memory upward (never project-local memory); drain the source only after the upward write is verified. See `references/promote-mode.md`. - **`/retro done`** — definition-of-done gate: seven evidence-backed checks (task, findings, retro, cleanup, questions, tickets, time), each ✅ / ❌ / ⏸ / N/A. **⏸ only when a named person can close it with a named action; what is structurally absent is N/A with its reason** — a ⏸ nobody can close makes the whole table get skipped. Say **done** when every row is ✅ or N/A. See `references/done-mode.md`. - **Auto** — optional SessionEnd hook, off by default. It is plugin-level, not part of this skill directory: `hooks/session-end.json` at the repository root (see README, "Optional auto-trigger"). ## Pipeline (all modes) 1. Mechanical pre-pass — `${CLAUDE_SKILL_DIR}/scripts/detect-mechanical.py` (Promote: `${CLAUDE_SKILL_DIR}/scripts/scan-memory-inventory.py`). It requires `--transcript-file`, and the transcript is located **by content** — a token from this session — never by mtime: several sessions share one project slug, so the newest JSONL is regularly somebody else's. Invocation in `references/workflow.md`. Then `uv run ${CLAUDE_SKILL_DIR}/scripts/collect-review-findings.py` on the same transcript (`uv run`, because its header declares the tree-sitter parser; plain `python3` stops with a message): review threads, bot reviews, and comments on the session's PRs/MRs, their linked issues, plus normalized tracker feedback supplied via `--feedback-file` (input for B18–B20, D4, D6). PRs a script opened (a fleet driver's `opened.jsonl`) are not in the transcript: pass that file with `--pr-list`. Resolve relevant opaque hints through the owning integration, never by key shape. See `references/feedback-contract.md`; incomplete coverage is not silence. 2. LLM enrichment — inferential signals, both classes (friction + learnings B16–B20); filter false positives. 3. Cross-session enrichment (optional) — JSONL scan via `${CLAUDE_SKILL_DIR}/scripts/scan-cross-session.py`. 4. Discover skills — `${CLAUDE_SKILL_DIR}/scripts/find-org-skills.py` — and the repo's harness (`project-harness-inspection.md`). 5. Classify (`classification-heuristic.md`) — authority first, then broadest scope; never project-local memory. 6. Evals — read a matched skill's `evals/`; propose a TDD stub. 7. Proposals — prose Why + How-to-apply, grouped, ≤10; learnings survive the trim. 8. Approval — approve / edit / reject per proposal. 9. Materialize per destination; for Promote, drain the source last (verified). 10. Report. ## Boundaries **Scope:** session-end/cross-session analysis, skill-PR routing, done gate. Tracker identity and access belong to the owning integration; QA and time policy belong to project/organization rules. No implicit tracker, CLI discovery or organization-specific billing defaults in the core. **Always:** LLM is primary classifier. Patches go to source repos, never the cache. Per-private-repo confirmation. Conventional Commits. DCO sign-off (`git commit -s`). Preserve commit signing. **Ask first:** skill-match ambiguity, auto-mode activation, private-repo targets, dirty-worktree fallback, any promotion making a note team-visible. **Never:** auto-merge, silent writes, harness-invented attribution (a disclosure the user's rules prescribe is required), skip hooks (`--no-verify`), patch the cache, hardcode a static skill list, `rm` a drained memory (tombstone); from Done mode: merge, tag or deploy, or touch another session's containers, processes or worktrees. ## References | File | Purpose | |---|---| | `references/feedback-contract.md` | Tracker-neutral evidence and reference resolution | | `references/friction-catalog.md` | All signals: friction + learnings (A/B/C, B16–B20) | | `references/destination-taxonomy.md` | The seven destinations | | `references/classification-heuristic.md` | Friction → destination mapping | | `references/skill-discovery.md` | Finding skills at runtime | | `references/patch-workflow.md` | Source-repo patching (never cache) | | `references/eval-integration.md` | Evals for context + TDD stubs | | `references/promote-mode.md` | Promote: materialize-then-drain | | `references/done-mode.md` | Done: seven-gate finish check | | `references/workflow.md` | All modes + phase selection |
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