continuous-learning
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring
Profile →npx skills add rohitg00/awesome-claude-code-toolkit --skill continuous-learning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Continuous Learning ## Pattern Extraction Framework After every significant coding session, extract and categorize learnings into three buckets: 1. **Corrections** - Mistakes caught during review or by the user 2. **Successful Approaches** - Patterns that worked well and should be repeated 3. **Anti-Patterns** - Approaches that caused problems and should be avoided ## Learning Entry Format ```yaml pattern: id: "LEARN-2025-0042" category: "error-handling" type: "correction" # correction | success | anti-pattern confidence: 0.85 # 0.0 to 1.0 language: "typescript" context: "API error responses" observation: "Returning raw error messages from database exceptions exposes internals" lesson: "Always map database errors to application-level error codes before returning" example: before: "catch (e) { res.status(500).json({ error: e.message }) }" after: "catch (e) { logger.error(e); res.status(500).json({ error: 'INTERNAL_ERROR' }) }" frequency: 3 # times this pattern has been observed last_seen: "2025-06-15" ``` ## Confidence Scoring | Score | Meaning | Action | |-------|---------|--------| | 0.95+ | Verified across multiple projects | Apply automatically | | 0.80-0.94 | Confirmed in thi
- Pattern Extraction Framework
- Learning Entry Format
- Confidence Scoring
- Session Wrap-Up Protocol
- Knowledge Base Organization
- Correction Tracking
- Pattern Reinforcement
- Integration with Memory Files
What does the continuous-learning skill do?
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring
How do I install it?
Run `npx skills add rohitg00/awesome-claude-code-toolkit --skill continuous-learning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From rohitg00/awesome-claude-code-toolkit, a repository with 2,438 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.