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skills/capturing-learning/SKILL.md
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skills/capturing-learning/SKILL.md
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name: Capturing Learning from Completed Work
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description: Systematic retrospective to capture decisions, lessons, and insights from completed work
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when_to_use: when completing significant work, after debugging sessions, before moving to next task, when work took longer than expected, or when approaches were discarded
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version: 1.0.0
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languages: all
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---
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# Capturing Learning from Completed Work
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## Overview
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**Context is lost rapidly without systematic capture.** After completing work, engineers move to the next task and forget valuable lessons, discarded approaches, and subtle issues discovered. This skill provides a systematic retrospective workflow to capture learning while context is fresh.
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## When to Use
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Use this skill when:
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- Completing significant features or complex bugfixes
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- After debugging sessions (especially multi-hour sessions)
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- Work took longer than expected
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- Multiple approaches were tried and discarded
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- Subtle bugs or non-obvious issues were discovered
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- Before moving to next task (capture fresh context)
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- Sprint/iteration retrospectives
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**When NOT to use:**
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- Trivial changes (typo fixes, formatting)
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- Work that went exactly as expected with no learnings
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- When learning is already documented elsewhere
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## Critical Principle
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**Exhaustion after completion is when capture matters most.**
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The harder the work, the more valuable the lessons. "Too tired" means the learning is significant enough to warrant documentation.
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## Common Rationalizations (And Why They're Wrong)
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| Rationalization | Reality |
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|----------------|---------|
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| "I remember what happened" | Memory fades in days. Future you won't remember details. |
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| "Too tired to write it up" | Most tired = most learning. 10 minutes now saves hours later. |
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| "It's all in the commits" | Commits show WHAT changed, not WHY you chose this approach. |
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| "Not worth documenting" | If you spent >30 min on it, someone else will too. Document it. |
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| "It was too simple/small" | If it wasn't obvious to you at first, it won't be obvious to others. |
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| "Anyone could figure this out" | You didn't know it before. Document for past-you. |
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| "Nothing significant happened" | Every task teaches something. Capture incremental learning. |
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| "User wants to move on" | User wants quality. Learning capture ensures it. |
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**None of these are valid reasons to skip capturing learning.**
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## What to Capture
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**✅ MUST document:**
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- [ ] Brief description of what was accomplished
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- [ ] Key decisions made (and why)
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- [ ] Approaches that were tried and discarded (and why they didn't work)
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- [ ] Non-obvious issues discovered (and how they were solved)
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- [ ] Time spent vs. initial estimate (if significantly different, why?)
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- [ ] Things that worked well (worth repeating)
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- [ ] Things that didn't work well (worth avoiding)
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- [ ] Open questions or follow-up needed
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**Common blind spots:**
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- Discarded approaches (most valuable learning often comes from what DIDN'T work)
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- Subtle issues (small bugs that took disproportionate time)
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- Implicit knowledge (things you learned but didn't realize were non-obvious)
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## Implementation
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### Step 1: Review the Work
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Before writing, review what was done:
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- Check git diff to see all changes
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- Review commit messages for key decisions
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- List approaches tried (including failed ones)
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- Note time spent and estimates
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### Step 2: Capture in Structure
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Create or update summary in appropriate location:
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**For work tracking systems:**
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- Use project's work directory structure
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- Common: `docs/work/summary.md` or iteration-specific file
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**For non-tracked work:**
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- Add to CLAUDE.md under relevant section
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- Or create dated file in `docs/learning/YYYY-MM-DD-topic.md`
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**Minimal structure:**
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```markdown
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## [Work Item / Feature Name]
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**What:** Brief description (1-2 sentences)
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**Key Decisions:**
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- Decision 1 (why)
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- Decision 2 (why)
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**What Didn't Work:**
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- Approach X (why it failed, what we learned)
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- Approach Y (why it failed)
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**Issues Discovered:**
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- Issue 1 (how solved)
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- Issue 2 (how solved)
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**Time Notes:**
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Estimated X hours, took Y hours. [Explain if significant difference]
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**Open Questions:**
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- Question 1
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- Question 2
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```
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### Step 3: Link to Implementation
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Connect learning to codebase:
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- Reference key files modified
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- Link to commits or PRs
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- Cross-reference to CLAUDE.md if patterns emerged
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### Step 4: Make it Searchable
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Ensure future discoverability:
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- Use descriptive headings
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- Include error messages if debugging
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- Tag with relevant technology/pattern names
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## Real-World Impact
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**Without systematic capture:**
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- Repeat same failed approaches (waste time)
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- Forget subtle issues (encounter again later)
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- Lose context on decisions (question past choices)
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- Can't transfer knowledge to team
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- Learning stays with individual
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**With this workflow:**
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- Failed approaches documented (others avoid same path)
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- Subtle issues captured (searchable solutions)
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- Decision rationale preserved (future maintenance easier)
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- Knowledge shared across team
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- Organization builds learning repository
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## Integration with Commands/Agents
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This skill can be invoked by:
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- `/cipherpowers:summarise` command for retrospective capture
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- Pre-merge checklist item
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- Sprint/iteration retrospective workflows
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- Code review requirements
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Commands should provide context about where to save summaries and reference this skill for methodology.
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