# Continuous Learning

Auto-extract patterns from coding sessions, track corrections, and build reusable...

- Repository: https://github.com/rohitg00/awesome-claude-code-toolkit (2800 stars)
- Category: Engineering
- License: Apache-2.0
- Last updated: 2026-05-12
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add rohitg00/awesome-claude-code-toolkit --skill continuous-learning -g -a claude-code -y`
Codex: `npx skills add rohitg00/awesome-claude-code-toolkit --skill continuous-learning -g -a codex -y`
Cursor: `npx skills add rohitg00/awesome-claude-code-toolkit --skill continuous-learning -g -a cursor -y`
Gemini CLI: `npx skills add rohitg00/awesome-claude-code-toolkit --skill continuous-learning -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add rohitg00/awesome-claude-code-toolkit`

## Description

Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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 this codebase | Apply and mention |
| 0.60-0.79 | Observed but not fully validated | Suggest with caveat |
| 0.40-0.59 | Hypothesis based on limited data | Ask before applying |
| <0.40 | Speculative, needs validation | Document but do not apply |

Update confidence based on:
- +0.10 when pattern is confirmed correct by user
- +0.05 when pattern is observed again in a different context
- -0.15 when pattern leads to a correction
- -0.20 when pattern is explicitly rejected by user

## Session Wrap-Up Protocol

At the end of each session or before context compaction:

The rest: https://github.com/rohitg00/awesome-claude-code-toolkit/blob/HEAD/skills/continuous-learning/SKILL.md