continuous-learning
Skill0 starsChanged 10 days agoMITView on GitHub
[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1: when continuous learning, session learning, or pattern extraction is requested, route to continuous-learning-v2 instead.
42 other projects use a version of this, 25 of them edited.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codeedited, first seen Nov 8, 2026
- shetengteng/skillix-hubtheir own version, first seen Nov 8, 2026
- XD3an/cc-plusedited, first seen Nov 7, 2026
- pankaj-mahaur/Agent-Daemonedited, first seen Nov 6, 2026
- darknecrocities/SkillBuildertheir own version, first seen Nov 1, 2026
- renepf/claude-skillsedited, first seen Oct 25, 2026
Used with
Projects with it also use project-guidelines-example, clickhouse-io and 5 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
HABUBUSSSkillproject-guidelines-example
Also in 7 projects that use this
HABUBUSSSkillclickhouse-io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Also in 6 projects that use this
mstuder-slalomSkillcontinuous-learning-v2
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
Also in 7 projects that use this
mstuder-slalomSkilldjango-verification
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
Also in 4 projects that use this
- +2 more from HABUBUSS
- +1 more from mstuder-slalom
Other versions42 projects use a version of this.
Word for word · 0
None found.
Edited · 25
- loulanyue/awesome-claude-notes★ 27293% same
- Fmarzochi/EGC★ 6170% same
- xfstudio/skills★ 988% same
- Lukasbrujula/claude-code-framework★ 476% same
- XD3an/cc-plus★ 488% same
- get-proofpilot/claude-skills-catalog★ 193% same
- junimnjw/everything-claude-code★ 193% same
- mstuder-slalom/everything-claude-code★ 188% same
- Rojios/everything-claude-code★ 195% same
- royaluniondesign-sys/claude-os★ 191% same
15 more not listed
Wrote their own version · 17
- blader/claude-code-continuous-learning-skill★ 2.4ksame name
- blader/Claudeception★ 2.4ksame name
- MRCalderon3D/everything-game-dev-code★ 105same name
- AlexMikhalev/claude-code-continuous-learning-skill★ 36same name
- vneseyoungster/ChocoVine★ 27same name
- mhylle/claude-skills-collection★ 20same name
- ckorhonen/claude-skills★ 17same name
- darknecrocities/SkillBuilder★ 13same name
- ShaheerKhawaja/ProductionOS★ 8same name
- shetengteng/skillix-hub★ 5same name
7 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository39 other files it gives its agents.
- agent-architecture-auditSkill
- agent-evalSkill
- agent-harness-constructionSkill
- agent-introspection-debuggingSkill
- agent-security-hardeningSkill
- agent-self-evaluationSkill
- iterative-retrievalSkill
- prompt-optimizerSkill
- backend-patternsSkill
- database-migrationsSkill
- error-handlingSkill
- fastapi-patternsSkill
- postgres-patternsSkill
- redis-patternsSkill
- accessibilitySkill
- design-systemSkill
- frontend-patternsSkill
- react-performanceSkill
- docker-patternsSkill
- golang-testingSkill
- kubernetes-patternsSkill
- python-testingSkill
- react-testingSkill
- rust-testingSkill
- content-engineSkill
- market-researchSkill
- seoSkill
- api-designSkill
- brownfield-retrospectiveSkill
- codebase-onboardingSkill
- coding-standardsSkill
- context-budgetSkill
- conventional-commit-reviewSkill
- orch-pipelineSkill
- plan-orchestrateSkill
- security-reviewSkill
- tdd-workflowSkill
- unified-memorySkill
- verification-loopSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 37 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 77
Add to your ~/.claude/settings.json:
“Common” is measured: kept by at least 6 in 10 of the 37 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Continuous Learning Skill - DEPRECATED
DEPRECATED 2026-04-28. Use
continuous-learning-v2instead. v2 is a strict superset: stop-hook observation becomes PreToolUse/PostToolUse observation, full skills become atomic instincts with confidence scoring, and global-only storage becomes project-scoped plus global promotion.This file is kept for archival reference and backward compatibility with existing installs.
Original v1 Documentation (archival)
Automatically evaluates Claude Code sessions on end to extract reusable patterns that can be saved as learned skills.
When to Activate
- Setting up automatic pattern extraction from Claude Code sessions
- Configuring the Stop hook for session evaluation
- Reviewing or curating learned skills in
~/.claude/skills/learned/ - Adjusting extraction thresholds or pattern categories
- Comparing v1 (this) vs v2 (instinct-based) approaches
Status
This v1 skill is still supported, but continuous-learning-v2 is the preferred path for new installs. Keep v1 when you explicitly want the simpler Stop-hook extraction flow or need compatibility with older learned-skill workflows.
How It Works
This skill runs as a Stop hook at the end of each session:
- Session Evaluation: Checks if session has enough messages (default: 10+)
- Pattern Detection: Identifies extractable patterns from the session
- Skill Extraction: Saves useful patterns to
~/.claude/skills/learned/
Configuration
Edit config.json to customize:
{
"min_session_length": 10,
"extraction_threshold": "medium",
"auto_approve": false,
"learned_skills_path": "~/.claude/skills/learned/",
"patterns_to_detect": [
"error_resolution",
"user_corrections",
"workarounds",
"debugging_techniques",
"project_specific"
],
"ignore_patterns": [
"simple_typos",
"one_time_fixes",
"external_api_issues"
]
}Pattern Types
| Pattern | Description |
error_resolution | How specific errors were resolved |
user_corrections | Patterns from user corrections |
workarounds | Solutions to framework/library quirks |
debugging_techniques | Effective debugging approaches |
project_specific | Project-specific conventions |
Hook Setup
Add to your ~/.claude/settings.json:
{
"hooks": {
"Stop": [{
"matcher": "*",
"hooks": [{
"type": "command",
"command": "~/.claude/skills/continuous-learning/evaluate-session.sh"
}]
}]
}
}Why Stop Hook?
- Lightweight: Runs once at session end
- Non-blocking: Doesn't add latency to every message
- Complete context: Has access to full session transcript
Related
- The Longform Guide - Section on continuous learning
/learncommand - Manual pattern extraction mid-session
Comparison Notes (Research: Jan 2025)
vs Homunculus
Homunculus v2 takes a more sophisticated approach:
| Feature | Our Approach | Homunculus v2 |
| Observation | Stop hook (end of session) | PreToolUse/PostToolUse hooks (100% reliable) |
| Analysis | Main context | Background agent (Haiku) |
| Granularity | Full skills | Atomic "instincts" |
| Confidence | None | 0.3-0.9 weighted |
| Evolution | Direct to skill | Instincts → cluster → skill/command/agent |
| Sharing | None | Export/import instincts |
Key insight from homunculus:
"v1 relied on skills to observe. Skills are probabilistic—they fire ~50-80% of the time. v2 uses hooks for observation (100% reliable) and instincts as the atomic unit of learned behavior."
Potential v2 Enhancements
- Instinct-based learning - Smaller, atomic behaviors with confidence scoring
- Background observer - Haiku agent analyzing in parallel
- Confidence decay - Instincts lose confidence if contradicted
- Domain tagging - code-style, testing, git, debugging, etc.
- Evolution path - Cluster related instincts into skills/commands
See: docs/continuous-learning-v2-spec.md for full spec.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

