What is continuous-learning?
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring Source: rohitg00/awesome-claude-code-toolkit.
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring
Quickly install continuous-learning AI skill to your development environment via command line
Source: rohitg00/awesome-claude-code-toolkit.
After every significant coding session, extract and categorize learnings into three buckets:
| 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 |
At the end of each session or before context compaction:
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring Source: rohitg00/awesome-claude-code-toolkit.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/rohitg00/awesome-claude-code-toolkit --skill continuous-learningBrowse more skills from rohitg00/awesome-claude-code-toolkit
Auto-extract patterns from coding sessions, track corrections, and build reusable knowledge with confidence scoring Source: rohitg00/awesome-claude-code-toolkit.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/rohitg00/awesome-claude-code-toolkit --skill continuous-learning Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/rohitg00/awesome-claude-code-toolkit