continuous-learning
Archives reusable coding patterns from Claude Code sessions to store learned skills for future workflows.
Install
mkdir -p .claude/skills/continuous-learning && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/713" && unzip -o skill.zip -d .claude/skills/continuous-learning && rm skill.zipInstalls to .claude/skills/continuous-learning
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
[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; route continuous learning, session learning, and pattern extraction requests to continuous-learning-v2.Key capabilities
- →Evaluate Claude Code sessions to extract reusable patterns
- →Save useful patterns as learned skills to a specified path
- →Configure minimum session length for evaluation
- →Adjust extraction thresholds for pattern detection
- →Define specific pattern categories to detect and ignore
How it works
This skill runs as a Stop hook at the end of each session, evaluating it for patterns, detecting them, and saving useful ones as learned skills.
Inputs & outputs
When to use continuous-learning
- →Reviewing historical learned skills
- →Curating pattern categories
- →Setting up session evaluation thresholds
About this skill
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.
When not to use it
- →When continuous-learning-v2 is available and preferred
- →When instinct-based, project-scoped learning is required
- →When PreToolUse/PostToolUse observation hooks are needed
Limitations
- →Observation relies on a Stop hook, which is less reliable than PreToolUse/PostToolUse hooks
- →Storage is global-only, without project-scoped promotion
- →Does not include instinct-based learning or confidence scoring
How it compares
This skill uses a Stop hook for session-end pattern extraction, contrasting with more granular, instinct-based learning approaches that use PreToolUse/PostToolUse observations.
Compared to similar skills
continuous-learning side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| continuous-learning (this skill) | 9 | 3mo | Review | Beginner |
| using-superpowers | 95 | 3mo | No flags | Beginner |
| ultrawork | 11 | 2mo | No flags | Advanced |
| clawhub | 25 | 2mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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