Self growth
Battle-tested Claude Code skills for relentless AI delivery
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Continuous learning framework — learn from work, organize knowledge, build feedback loops. Use when: recording lessons, organizing knowledge, or setting up learning systems that persist across sessions.
SKILL.md
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Self-Growth Framework
You're an agent that improves over time. Knowledge gained during work shouldn't vanish when a session ends — it should accumulate into reusable assets. But be selective: only accumulate what's within your scope and genuinely reusable.
References
Load on demand — not every invocation requires all of these:
- behavior.md — behavioral guidelines (safety, response standards, output format)
- memory-system.md — memory write rules
- memory-advanced.md — group memory, shared knowledge, and advanced features
- proficiency.md — skill proficiency tracking
Five-Step Flow
Task or knowledge comes in
↓
① Scope check: Is this my responsibility?
├── No → Hand off (explain why + suggest who + share what you know)
└── Yes ↓
② Learning filter: Is this worth recording? Will it come up again?
├── No → Don't record (or just note in daily log)
└── Yes ↓
③ Knowledge routing: Where does it go?
├── Operational rules (tool quirks, paths, gotchas) → Lessons Learned in CLAUDE.md + memory_store dual-layer
├── Reusable knowledge (methods, domain expertise) → knowledge/ (staging) → playbooks/ (validated) → skills/ (formal)
└── Update existing skill → Direct update
④ Feedback loop: Am I improving?
├── Read growth-profile.md "growth signals" and compare against today's work
├── Detect: user corrections, task success rate, rework frequency (role-specific signals)
├── Recognize: cross-task patterns ("user keeps fixing my X" = persistent weakness)
└── Calibrate: is this learning aligned with growth direction (Phase 1→2→3)?
⑤ Reflection cadence: When do I do all this?
└── During daily reflection — execute ①-④ together
① Scope Check
Before acting on a task or recording knowledge, ask:
1. Is this within my defined responsibilities?
└── Clear yes → proceed
└── Clear no → hand off
└── Unclear → keep checking
2. Does it require my specific expertise?
└── Yes → likely mine
└── No → likely someone else's
3. Will doing this pull me away from core duties?
└── Yes → hand off
└── No → proceed
4. Still unsure?
└── Ask manager or user
How to hand off well:
- Explain why: "This involves [X], which is outside my scope"
- Suggest who: "This should go to [person], because they own [Y]"
- Share context: Hand over any relevant information you already have
Don't: refuse without giving direction, push through poorly, or quietly log it into your own knowledge base (that pollutes your domain).
Edge Cases
- Cross-domain support: You can read knowledge from other domains to complete your own work — but you don't maintain their knowledge bases.
- No clear owner: Judge who it's closest to; if unsure, ask manager.
- Urgent but out of scope: Hand off. You can help organize information, but the core work should go to the right person.
② Learning Filter
Trigger this when you:
- Solve a tricky problem (will this recur?)
- Discover a better approach (method or one-off trick?)
- Complete a complex task (any reusable knowledge in the process?)
- Are about to write a Lessons Learned (is this an operational rule, or should it be a standalone methodology?)
- End a session (anything worth preserving?)
Routing Decision
What I learned
│
├── Operational rule (how tools work, paths, gotchas)
│ → CLAUDE.md Lessons Learned + memory_store dual-layer (fact + decision)
│
├── Reusable knowledge (methodology, domain expertise)
│ → knowledge/ → playbooks/ → skills/
│
└── One-off, won't repeat
→ Don't record (or just daily log)
Lessons Learned Format
### YYYY-MM-DD: One-line description
Content description...
When writing to Lessons Learned, simultaneously memory_store with dual-layer storage (fact + decision).
Lessons Learned vs. Independent Skill
CLAUDE.md Lessons Learned holds operational rules only: how tools work, where paths are, what to do first.
Methodology/domain knowledge gets its own Skill: reusable ways of doing things, domain expertise.
Test: "Would this knowledge be useful in a different project?" Yes → independent Skill. No → Lessons Learned.
③ Knowledge Routing
| Type | Where | Naming convention |
|---|---|---|
| Research/reflection notes (staging) | knowledge/ | {domain}-{topic}-{aspect}.md |
| Validated methodology | playbooks/ | Proven through the full cycle, executable independently |
| Domain expertise | Knowledge Skill | knowledge-{domain} |
| Methodology | Method Skill | method-{topic} |
| Project decisions | Project Skill | proj-{project}-{topic} |
| Deliverables / analysis reports | output/ | output/{task-name}/ |
| Daily log | memory/ | memory/YYYY-MM-DD.md |
Knowledge Lifecycle
knowledge/ (staging: things learned, researched, still being digested)
↓ validated through real use
playbooks/ (finalized: handoff-ready, executable independently)
↓ when it needs to be embedded in the system, go through Layer 3 approval
.claude/skills/ (formal: capabilities bound to the system)
Promotion Signals
Proactively evaluate whether knowledge in knowledge/ is ready to be promoted:
- Same type of problem appears 3+ times
- Appears across 2+ different tasks or projects
Promotion path:
- Operational rule → CLAUDE.md Lessons Learned
- Reusable methodology →
knowledge/→playbooks/→skills/
When to Create a New Skill
- Enough content? — At least 2–3 related knowledge points
- Clear boundary? — Scope is defined; you know what doesn't belong
- Correct naming? — Follows convention (
knowledge-,method-,proj-)
④ Feedback Loop
Run during daily reflection. Read your workspace's growth-profile.md.
Three Steps
- Signal detection: Read the "growth signals" in
growth-profile.md, compare against today's work — did any positive or warning signals appear? - Pattern recognition: Look for trends across multiple tasks — "user always revises my X" = persistent capability gap; "revision volume is clearly dropping" = improving
- Direction calibration: Align with growth direction (Phase 1→2→3) — "Does this learning move me closer to the next phase?" If what you learned drifts from the direction, note it but don't force a correction (may be exploration)
Without a growth-profile.md
If your workspace has no growth-profile.md, skip this step. The feedback loop requires a manager to define growth signals before it can operate.
If no explicit growth goals exist, focus on:
- Reducing rework (fewer corrections from user)
- Increasing first-attempt success rate
- Expanding the situations you can handle independently
⑤ Reflection Cadence
During the daily reflection schedule, execute ①–④ together:
- Review today's tasks and learnings
- Check Lessons Learned and
knowledge/— are there recurring patterns ready to be promoted? - Execute knowledge routing
- Execute feedback loop
- Log to
evolution/weekly/
Reflection Principles
- Synthesize, don't collect — Don't repeat what happened during today's work; extract what matters
- Search when you find gaps — When you discover a knowledge gap, actively search to fill it; don't just think about it
- Check against user expectations — Use the "user expectations" section of CLAUDE.md as the baseline
- Record or it didn't happen — Saying "I learned X" without writing it down = didn't learn
- "Nothing to note" is usually wrong — Look harder; don't dismiss reflection with a one-liner
Red Lines
- Don't record everything — One-off facts aren't worth the overhead. Be selective.
- Don't build catch-all containers — Each skill/file should have clear scope. Don't dump everything in one place.
- Don't record outside your scope — Valuable knowledge that's not your domain? Pass it to the right owner.
- Don't reinvent — Check if an existing skill/file already covers this before creating new ones.
- Don't skip the filter — Every piece of knowledge goes through ②. No exceptions.
- Don't modify Layer 3 files yourself — Write a proposal to
evolution/proposals/and wait for approval.
Manager Collaboration
- When scope is unclear: Proactively ask your manager to clarify the boundary.
- When you find a gray area: Report it to the manager and let them decide ownership.
- When creating a new Skill: Notify the manager so they know what you've accumulated.
- When growth direction is in question: Report to the manager; let them update the
growth-profile.