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affaan-m/ECC/skills/continuous-learning/SKILL.md

continuous-learning

[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.

Source repository stars
234,327
Declared platforms
0
Static risk flags
0
Last source update
2026-07-27
Source checked
2026-07-28

Decision brief

What it does—and where it fits

DEPRECATED 2026-04-28. Use continuous-learning-v2 instead. 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…

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/affaan-m/ECC --skill "skills/continuous-learning"
    Safe inspection promptEditorial

    Inspect the Agent Skill "continuous-learning" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/skills/continuous-learning/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      Hook Setup

      Add to your /.claude/settings.json:

      Add to your /.claude/settings.json:
    2. 02

      Original v1 Documentation (archival)

      Automatically evaluates Claude Code sessions on end to extract reusable patterns that can be saved as learned skills.

      Automatically evaluates Claude Code sessions on end to extract reusable patterns that can be saved as learned skills.
    3. 03

      When to Activate

      Setting up automatic pattern extraction from Claude Code sessions

      Setting up automatic pattern extraction from Claude Code sessionsConfiguring the Stop hook for session evaluationReviewing or curating learned skills in /.claude/skills/learned/
    4. 04

      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.

      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…

    Permission review

    Static risk signals and limitations

    No configured static risk pattern was detected

    This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score73/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars234,327SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    affaan-m/ECC
    Skill path
    skills/continuous-learning/SKILL.md
    Commit
    4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38
    License
    MIT
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    Continuous Learning Skill - DEPRECATED

    DEPRECATED 2026-04-28. Use continuous-learning-v2 instead. 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:

    1. Session Evaluation: Checks if session has enough messages (default: 10+)
    2. Pattern Detection: Identifies extractable patterns from the session
    3. 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

    PatternDescription
    error_resolutionHow specific errors were resolved
    user_correctionsPatterns from user corrections
    workaroundsSolutions to framework/library quirks
    debugging_techniquesEffective debugging approaches
    project_specificProject-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
    • /learn command - Manual pattern extraction mid-session

    Comparison Notes (Research: Jan 2025)

    vs Homunculus

    Homunculus v2 takes a more sophisticated approach:

    FeatureOur ApproachHomunculus v2
    ObservationStop hook (end of session)PreToolUse/PostToolUse hooks (100% reliable)
    AnalysisMain contextBackground agent (Haiku)
    GranularityFull skillsAtomic "instincts"
    ConfidenceNone0.3-0.9 weighted
    EvolutionDirect to skillInstincts → cluster → skill/command/agent
    SharingNoneExport/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

    1. Instinct-based learning - Smaller, atomic behaviors with confidence scoring
    2. Background observer - Haiku agent analyzing in parallel
    3. Confidence decay - Instincts lose confidence if contradicted
    4. Domain tagging - code-style, testing, git, debugging, etc.
    5. Evolution path - Cluster related instincts into skills/commands

    See: docs/continuous-learning-v2-spec.md for full spec.

    Alternatives

    Compare before choosing