lgbarn/shipyard/lessons-learned
Claude Code and agent skill by lgbarn/shipyard
- community
Checking that the SKILL.md file is still in the repository.
Extracts reusable lessons from completed work. Use when a phase or milestone is complete, before shipping, or when reflecting on finished work. Also use when the user says "what did we learn", "capture lessons", "retrospective", "wrap up", "ship this phase", or "done with this phase". A phase must not ship without lesson capture.
Install
npx vskill@latest install lgbarn/shipyard/lessons-learnedSKILL.md
Lessons Learned
Iron Law
No exceptions:
- Not for "small phases" or "just a bugfix"
- Not for "we're in a hurry"
- Not for "nothing notable happened"
- Even smooth phases confirm what's working — capture it
<activation>
When to Use
- After phase completion during
/shipyard:ship(Step 3a) - When reflecting on completed work to extract reusable knowledge
- When a build summary contains notable discoveries worth preserving
Natural Language Triggers
- "what did we learn", "capture lessons", "retrospective", "lessons learned"
</activation>
When NOT to Use
- Mid-implementation (wait until the phase ships — partial lessons lack full context)
- Documenting code design decisions (put those in inline comments or architecture docs)
- Tracking active bugs (use issue tracker; lessons capture completed learning, not open problems)
Timing Rule
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.
Overview
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>
LESSONS.md Format
Store lessons in .shipyard/LESSONS.md using this exact structure:
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.
Prioritization Order
When multiple lessons compete for a limited CLAUDE.md budget, prioritize in this order:
- Pitfalls to Avoid — prevents repeated mistakes (highest value)
- Process Improvements — improves next phase execution
- Surprises / Discoveries — corrects wrong mental models
- What Went Well — confirms what to repeat (lowest urgency — already working)
Structured Prompts
Present these four questions to the user during lesson capture:
- What went well in this phase? -- Patterns, tools, or approaches that worked effectively.
- What surprised you or what did you learn? -- Unexpected behaviors, new techniques, or revised assumptions.
- What should future work avoid? -- Anti-patterns, dead ends, or approaches that caused problems.
- Any process improvements discovered? -- Workflow changes, tooling suggestions, or efficiency gains.
Pre-populate suggested answers from build artifacts before asking (see Pre-Population below).
Pre-Population
Before presenting prompts, extract candidate lessons from completed build summaries:
- Read all
SUMMARY-*.mdfiles in.shipyard/phases/{N}/results/. - Extract entries from "Issues Encountered" sections -- these often contain workarounds and edge cases.
- Extract entries from "Decisions Made" sections -- these capture rationale worth preserving.
- 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.
Multi-Agent Synthesis
When lessons come from multiple builder agents working in parallel:
- Collect — gather SUMMARY-*.md from all agents in the phase
- Group — sort entries by the four lesson categories
- De-duplicate — merge entries that describe the same issue with different wording
- Prioritize by frequency — if 3 agents hit the same pitfall, it ranks higher than a one-off
- Cross-reference — check against existing LESSONS.md entries to avoid duplicates
Do not skip de-duplication. Parallel agents frequently discover the same issues independently.
CLAUDE.md Integration
After the user approves lessons, optionally append to CLAUDE.md:
- If no
CLAUDE.mdexists, skip entirely. - Find or create a
## Lessons Learnedsection. - 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):
- Actionable every session, not just in this phase context
- Not phase-specific (generic enough to apply to future work)
- Fits as a one-liner (two sentences → split or summarize)
- Not already captured in existing CLAUDE.md entries
</instructions>
<rules>
Quality Standards
Lessons must be specific, actionable, and reusable. Apply these filters:
Anti-Patterns to reject:
- Lessons that duplicate existing entries in LESSONS.md
- Lessons that reference specific line numbers or ephemeral file locations
- Lessons that are generic truisms rather than discovered knowledge
- Lessons longer than two sentences -- split or summarize
</rules>
<examples>
Lesson Quality Examples
Good Lesson -- specific, transferable, actionable
Why it works: Names the exact tool and behavior, explains the symptom, and gives the fix.
Good Lesson -- documents a non-obvious decision
Good Lesson -- process improvement example
Why it works: Identifies a concrete workflow gap and specifies exactly what to add.
Bad Lesson -- vague platitude
Why it fails: Generic truism. Zero discovered knowledge.
Bad Lesson -- too specific, not transferable
Why it fails: Line 47 will change. Future readers cannot act on this.
Bad Lesson -- implementation detail, not a lesson
Why it fails: A code change, not a reusable insight.
</examples>
Integration
Called by: commands/ship.md — Step 7 for post-phase lesson capture Pairs with: shipyard:shipyard-verification — validate lesson quality before persisting Leads to: shipyard:documentation — update project docs with any discovered conventions
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/lessons-learned/SKILL.md
Popularity
- Repository stars
- 47
- 7-day trend score
- 19
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 20 Mar 2026, 7 months ago.
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