code-simplification
Use after implementing features, before claiming a phase is complete, when reviewing AI-generated code, or when code feels overly complex. Also use when you…
Use when a phase or milestone is complete and you need to extract reusable knowledge, before shipping, or when reflecting on completed work. Also use when the user says "what did we learn", "capture lessons", "retrospective", "wrap up", "ship this phase", or "done with this
$ npx -y skills add lgbarn/shipyard --skill lessons-learned --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/lessons-learnedContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when a phase or milestone is complete and you need to extract reusable knowledge, before shipping, or when reflecting on completed work. Also use when the user says "what did we learn", "capture lessons", "retrospective", "wrap up", "ship this phase", or "done with this
name: lessons-learned description: Use when a phase or milestone is complete and you need to extract reusable knowledge, before shipping, or when reflecting on completed work. Also use when the user says "what did we learn", "capture lessons", "retrospective", "wrap up", "ship this phase", or "done with this phase". If a phase is about to ship without lesson capture, this skill must activate.
<!-- TOKEN BUDGET: 215 lines / ~645 tokens -->
<activation>
</activation>
**Run immediately after ship, before the next phase starts.** Lessons captured 24+ hours later lose the "why" behind decisions. If you're about to start the next phase, capture lessons first.
The lessons-learned system captures discoveries, patterns, and pitfalls found during implementation and feeds them back into the project. Lessons are stored in `.shipyard/LESSONS.md` and optionally surfaced in `CLAUDE.md` so future agents benefit from past experience.
<instructions>
Store lessons in `.shipyard/LESSONS.md` using this exact structure:
# Shipyard Lessons Learned
## [YYYY-MM-DD] Phase N: {Phase Name}
### What Went Well
- {Bullet point}
### Surprises / Discoveries
- {Pattern discovered}
### Pitfalls to Avoid
- {Anti-pattern encountered}
### Process Improvements
- {Workflow enhancement}
---New entries are prepended after the `# Shipyard Lessons Learned` heading so the most recent phase appears first. Each phase gets its own dated section with all four subsections.
When multiple lessons compete for a limited CLAUDE.md budget, prioritize in this order:
1. **Pitfalls to Avoid** — prevents repeated mistakes (highest value) 2. **Process Improvements** — improves next phase execution 3. **Surprises / Discoveries** — corrects wrong mental models 4. **What Went Well** — confirms what to repeat (lowest urgency — already working)
Present these four questions to the user during lesson capture:
1. **What went well in this phase?** -- Patterns, tools, or approaches that worked effectively. 2. **What surprised you or what did you learn?** -- Unexpected behaviors, new techniques, or revised assumptions. 3. **What should future work avoid?** -- Anti-patterns, dead ends, or approaches that caused problems. 4. **Any process improvements discovered?** -- Workflow changes, tooling suggestions, or efficiency gains.
Pre-populate suggested answers from build artifacts before asking (see Pre-Population below).
Before presenting prompts, extract candidate lessons from completed build summaries:
1. Read all `SUMMARY-*.md` files in `.shipyard/phases/{N}/results/`. 2. Extract entries from **"Issues Encountered"** sections -- these often contain workarounds and edge cases. 3. Extract entries from **"Decisions Made"** sections -- these capture rationale worth preserving. 4. Present extracted items as pre-populated suggestions the user can accept, edit, or discard.
This reduces friction and ensures discoveries documented during building are not lost.
When lessons come from multiple builder agents working in parallel:
1. **Collect** — gather SUMMARY-*.md from all agents in the phase 2. **Group** — sort entries by the four lesson categories 3. **De-duplicate** — merge entries that describe the same issue with different wording 4. **Prioritize by frequency** — if 3 agents hit the same pitfall, it ranks higher than a one-off 5. **Cross-reference** — check against existing LESSONS.md entries to avoid duplicates
Do not skip de-duplication. Parallel agents frequently discover the same issues independently.
After the user approves lessons, optionally append to `CLAUDE.md`:
1. If no `CLAUDE.md` exists, skip entirely. 2. Find or create a `## Lessons Learned` section. 3. Append concise single-line bullets (omit phase dates, focus on actionable guidance).
**Selection criteria for CLAUDE.md** (be selective — CLAUDE.md has a token budget):
</instructions>
<rules>
NO PHASE SHIPS WITHOUT LESSON CAPTURE
No exceptions:
Lessons must be **specific, actionable, and reusable**. Apply these filters:
**Anti-Patterns to reject:**
</rules>
<examples>
### Pitfalls to Avoid - bats-core `run` captures exit code but swallows stderr -- use `2>&1` to capture both
Why it works: Names the exact tool and behavior, explains the symptom, and gives the fix.
### Surprises / Discoveries - jq `.field // "default"` prev
A Claude Code plugin for structured project execution. Plan work in phases, build with parallel agents and TDD, review with security audits and quality gates, and ship with confidence.
Repo: lgbarn/shipyard
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