Agent skill

Continuous Learning

by affaan-m in affaan-m/ECC

Claude Code 세션에서 재사용 가능한 패턴을 자동으로 추출하여 향후 사용을 위한 학습된 스킬로 저장합니다.

MITAuto-check passed

Install Continuous Learning

skills CLI
$ npx skills add affaan-m/ECC --skill continuous-learning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install affaan-m/ECC continuous-learning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/ko-KR/skills/continuous-learning .claude/skills/continuous-learning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
continuous-learning
GitHub stars
276k
Used in
2 other repos
Token cost
~761 tokens
SKILL.md length
304 words
Files
1
Skills in repo
673
Repo updated
First seen
Licence
MIT

At a glance

Claude Code 세션에서 재사용 가능한 패턴을 자동으로 추출하여 향후 사용을 위한 학습된 스킬로 저장합니다.

  • Works in 3 steps: 세션 평가: 세션에 충분한 메시지가 있는지 확인 (기본값: 10개 이상) → 패턴 감지: 세션에서 추출 가능한 패턴을 식별 → 스킬 추출: 유용한 패턴을…
  • SKILL.md covers 활성화 시점, 작동 방식, 구성 and 패턴 유형, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Continuous Learning is an agent skill from affaan-m/ECC. Claude Code 세션에서 재사용 가능한 패턴을 자동으로 추출하여 향후 사용을 위한 학습된 스킬로 저장합니다.

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.

Example prompts

  • “/continuous-learning”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 세션 평가: 세션에 충분한 메시지가 있는지 확인 (기본값: 10개 이상)
  2. 패턴 감지: 세션에서 추출 가능한 패턴을 식별
  3. 스킬 추출: 유용한 패턴을 ~/.claude/skills/learned/에 저장

What it can do on your machine

Read from SKILL.md and the folder at commit ef648e0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • x.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Continuous Learning loads about 761 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 304 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~761

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit ef648e0, republished under its MIT licence (© affaan-m). 304 words, ~761 tokens.

Download SKILL.mdSave it as .claude/skills/continuous-learning/SKILL.md (or your agent's skills folder).
name
continuous-learning
description
Claude Code 세션에서 재사용 가능한 패턴을 자동으로 추출하여 향후 사용을 위한 학습된 스킬로 저장합니다.
origin
ECC

지속적 학습 스킬

Claude Code 세션 종료 시 자동으로 평가하여 학습된 스킬로 저장할 수 있는 재사용 가능한 패턴을 추출합니다.

활성화 시점

  • Claude Code 세션에서 자동 패턴 추출을 설정할 때
  • 세션 평가를 위한 Stop Hook을 구성할 때
  • ~/.claude/skills/learned/에서 학습된 스킬을 검토하거나 큐레이션할 때
  • 추출 임계값이나 패턴 카테고리를 조정할 때
  • v1 (이 방식)과 v2 (본능 기반) 접근법을 비교할 때

작동 방식

이 스킬은 각 세션 종료 시 Stop Hook으로 실행됩니다:

  1. 세션 평가: 세션에 충분한 메시지가 있는지 확인 (기본값: 10개 이상)
  2. 패턴 감지: 세션에서 추출 가능한 패턴을 식별
  3. 스킬 추출: 유용한 패턴을 ~/.claude/skills/learned/에 저장

구성

config.json을 편집하여 사용자 지정합니다:

json
{
  "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"
  ]
}

패턴 유형

패턴설명
error_resolution특정 에러가 어떻게 해결되었는지
user_corrections사용자 수정으로부터의 패턴
workarounds프레임워크/라이브러리 특이점에 대한 해결책
debugging_techniques효과적인 디버깅 접근법
project_specific프로젝트 고유 컨벤션

Hook 설정

~/.claude/settings.json에 추가합니다:

json
{
  "hooks": {
    "Stop": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning/evaluate-session.sh"
      }]
    }]
  }
}

예시

자동 패턴 추출 설정 예시
json
{
  "min_session_length": 10,
  "extraction_threshold": "medium",
  "auto_approve": false,
  "learned_skills_path": "~/.claude/skills/learned/"
}
Stop Hook 연결 예시
json
{
  "hooks": {
    "Stop": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning/evaluate-session.sh"
      }]
    }]
  }
}

Stop Hook을 사용하는 이유

  • 경량: 세션 종료 시 한 번만 실행
  • 비차단: 모든 메시지에 지연을 추가하지 않음
  • 완전한 컨텍스트: 전체 세션 트랜스크립트에 접근 가능

관련 항목

  • The Longform Guide - 지속적 학습 섹션
  • /learn 명령어 - 세션 중 수동 패턴 추출

비교 노트 (연구: 2025년 1월)

vs Homunculus

Homunculus v2는 더 정교한 접근법을 취합니다:

기능우리의 접근법Homunculus v2
관찰Stop Hook (세션 종료 시)PreToolUse/PostToolUse Hook (100% 신뢰)
분석메인 컨텍스트백그라운드 에이전트 (Haiku)
세분성완전한 스킬원자적 "본능"
신뢰도없음0.3-0.9 가중치
진화스킬로 직접본능 -> 클러스터 -> 스킬/명령어/에이전트
공유없음본능 내보내기/가져오기

Homunculus의 핵심 통찰:

"v1은 관찰을 스킬에 의존했습니다. 스킬은 확률적이어서 약 50-80%의 확률로 실행됩니다. v2는 관찰에 Hook(100% 신뢰)을 사용하고 본능을 학습된 행동의 원자 단위로 사용합니다."

잠재적 v2 개선 사항
  1. 본능 기반 학습 - 신뢰도 점수가 있는 더 작고 원자적인 행동
  2. 백그라운드 관찰자 - 병렬로 분석하는 Haiku 에이전트
  3. 신뢰도 감쇠 - 반박 시 본능의 신뢰도 감소
  4. 도메인 태깅 - code-style, testing, git, debugging 등
  5. 진화 경로 - 관련 본능을 스킬/명령어로 클러스터링

자세한 사양은 continuous-learning-v2-spec.md를 참조하세요.

© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in docs/ko-KR/skills/continuous-learning of affaan-m/ECC.

Open the folder on GitHubat commit ef648e0

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Continuous Learning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Continuous Learning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Continuous Learning this skillaffaan-m/ECC276k2 repos~761Automated safety check: PassMIT
Continuousaiblueprinthq/ai-blueprint463—~4.7kAutomated safety check: PassMIT
Continuetelegramdesktop/tdesktop33k2 repos~9.4kAutomated safety check: PassGPL-3.0
Continuityparcadei/Continuous-Claude-v33.9k1 repos~292Automated safety check: NotesMIT
Continueudecode/plate17k—~2.6kAutomated safety check: PassCustom licence
Continue PRClickHouse/ClickHouse50k—~5.5kAutomated safety check: NotesApache-2.0

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Questions about Continuous Learning

What does Continuous Learning do?

Claude Code 세션에서 재사용 가능한 패턴을 자동으로 추출하여 향후 사용을 위한 학습된 스킬로 저장합니다. Continuous Learning is an agent skill from affaan-m/ECC. Claude Code 세션에서 재사용 가능한 패턴을 자동으로 추출하여 향후 사용을 위한 학습된 스킬로 저장합니다.

How do I install Continuous Learning in Claude Code?

Run `npx skills add affaan-m/ECC --skill continuous-learning -a claude-code`. Or copy the skill folder (docs/ko-KR/skills/continuous-learning in affaan-m/ECC) into .claude/skills/continuous-learning in your project. Claude Code loads it when a task matches its description.

How do I install Continuous Learning in Codex?

Run `npx skills add affaan-m/ECC --skill continuous-learning -a codex`. Or copy the skill folder (docs/ko-KR/skills/continuous-learning in affaan-m/ECC) into .agents/skills/continuous-learning in your project. Codex loads it when a task matches its description.

Can I use Continuous Learning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill continuous-learning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/continuous-learning, .gemini/skills/continuous-learning, .github/skills/continuous-learning and .opencode/skills/continuous-learning in your project.

What does Continuous Learning need to run?

SKILL.md names no scripts, command-line tools or credentials: Continuous Learning is instructions for the agent only.

Does Continuous Learning access the network?

SKILL.md names 1 domain. As links in the text: x.com. This is read from the text; nothing was executed.

Is Continuous Learning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Continuous Learning use?

Continuous Learning is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Continuous Learning use?

About 761 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Continuous Learning?

Skills that share tags, products or a category with Continuous Learning: Continuous (aiblueprinthq/ai-blueprint, 463 stars), Continue (telegramdesktop/tdesktop, 33k stars), Continuity (parcadei/Continuous-Claude-v3, 3.9k stars) and Continue (udecode/plate, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Continuous Learning?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 275,546 GitHub stars. The repository holds 673 skills in this directory. The repository was last updated on October 5, 2026.

Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.