Agent skill

Continuous Learning

by affaan-m in affaan-m/ECC

Claude Code oturumlarından yeniden kullanılabilir kalıpları otomatik olarak çıkarın ve gelecekte kullanmak üzere öğrenilmiş skill'ler olarak kaydedin.

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/tr/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
1 other repo
Token cost
~959 tokens
SKILL.md length
301 words
Files
1
Skills in repo
673
Repo updated
First seen
Licence
MIT

At a glance

Claude Code oturumlarından yeniden kullanılabilir kalıpları otomatik olarak çıkarın ve gelecekte kullanmak üzere öğrenilmiş skill'ler olarak kaydedin.

  • Works in 3 steps: Oturum Değerlendirmesi: Oturumun yeterli… → Kalıp Tespiti: Oturumdan çıkarılabilir… → Skill Çıkarma: Yararlı kalıpları…
  • SKILL.md covers Ne Zaman Aktifleştirmelisiniz, Nasıl Çalışır, Konfigürasyon and Kalıp Tipleri, plus 4 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 oturumlarından yeniden kullanılabilir kalıpları otomatik olarak çıkarın ve gelecekte kullanmak üzere öğrenilmiş skill'ler olarak kaydedin.

Its SKILL.md is about 960 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. Oturum Değerlendirmesi: Oturumun yeterli mesaja sahip olup olmadığını kontrol eder (varsayılan: 10+)
  2. Kalıp Tespiti: Oturumdan çıkarılabilir kalıpları tanımlar
  3. Skill Çıkarma: Yararlı kalıpları ~/.claude/skills/learned/ dizinine kaydeder

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 959 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 301 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~959

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). 301 words, ~959 tokens.

Download SKILL.mdSave it as .claude/skills/continuous-learning/SKILL.md (or your agent's skills folder).
name
continuous-learning
description
Claude Code oturumlarından yeniden kullanılabilir kalıpları otomatik olarak çıkarın ve gelecekte kullanmak üzere öğrenilmiş skill'ler olarak kaydedin.
origin
ECC

Sürekli Öğrenme Skill'i

Claude Code oturumlarını sonunda otomatik olarak değerlendirir ve öğrenilmiş skill'ler olarak kaydedilebilecek yeniden kullanılabilir kalıpları çıkarır.

Ne Zaman Aktifleştirmelisiniz

  • Claude Code oturumlarından otomatik kalıp çıkarma ayarlarken
  • Oturum değerlendirmesi için Stop hook'u yapılandırırken
  • ~/.claude/skills/learned/ içindeki öğrenilmiş skill'leri incelerken veya düzenlerken
  • Çıkarma eşiklerini veya kalıp kategorilerini ayarlarken
  • v1 (bu) ile v2 (instinct tabanlı) yaklaşımlarını karşılaştırırken

Nasıl Çalışır

Bu skill her oturumun sonunda Stop hook olarak çalışır:

  1. Oturum Değerlendirmesi: Oturumun yeterli mesaja sahip olup olmadığını kontrol eder (varsayılan: 10+)
  2. Kalıp Tespiti: Oturumdan çıkarılabilir kalıpları tanımlar
  3. Skill Çıkarma: Yararlı kalıpları ~/.claude/skills/learned/ dizinine kaydeder

Konfigürasyon

Özelleştirmek için config.json dosyasını düzenleyin:

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"
  ]
}

Kalıp Tipleri

KalıpAçıklama
error_resolutionBelirli hataların nasıl çözüldüğü
user_correctionsKullanıcı düzeltmelerinden kalıplar
workaroundsFramework/kütüphane tuhaflıklarına çözümler
debugging_techniquesEtkili hata ayıklama yaklaşımları
project_specificProjeye özgü kurallar

Hook Kurulumu

~/.claude/settings.json dosyanıza ekleyin:

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

Neden Stop Hook?

  • Hafif: Oturum sonunda bir kez çalışır
  • Bloke Etmeyen: Her mesaja gecikme eklemez
  • Tam Bağlam: Tam oturum kaydına erişimi vardır

İlgili

  • The Longform Guide - Sürekli öğrenme bölümü
  • /learn komutu - Oturum ortasında manuel kalıp çıkarma

Karşılaştırma Notları (Araştırma: Ocak 2025)

vs Homunculus

Homunculus v2 daha sofistike bir yaklaşım benimsiyor:

ÖzellikBizim YaklaşımHomunculus v2
GözlemStop hook (oturum sonu)PreToolUse/PostToolUse hooks (%100 güvenilir)
AnalizAna bağlamArka plan agent'ı (Haiku)
GranülerlikTam skill'lerAtomik "instinct'ler"
GüvenYok0.3-0.9 ağırlıklı
EvrimDoğrudan skill'eInstinct'ler → kümeleme → skill/command/agent
PaylaşımYokInstinct'leri dışa/içe aktar

Homunculus'tan temel içgörü:

"v1 gözlem için skill'lere güveniyordu. Skill'ler olasılıksaldır—zamanın ~%50-80'inde tetiklenirler. v2 gözlem için hook'ları kullanır (%100 güvenilir) ve öğrenilmiş davranışın atomik birimi olarak instinct'leri kullanır."

Potansiyel v2 İyileştirmeleri
  1. Instinct tabanlı öğrenme - Güven skorlaması ile daha küçük, atomik davranışlar
  2. Arka plan gözlemcisi - Paralel analiz yapan Haiku agent'ı
  3. Güven azalması - Çelişkiye uğrarsa instinct'ler güven kaybeder
  4. Alan etiketleme - code-style, testing, git, debugging, vb.
  5. Evrim yolu - İlgili instinct'leri skill/command'lara kümeleme

Bkz: Tam spec için docs/continuous-learning-v2-spec.md.

© 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/tr/skills/continuous-learning of affaan-m/ECC.

Open the folder on GitHubat commit ef648e0

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. 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/ECC276k1 repos~959Automated 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
Continue PR AutoClickHouse/ClickHouse50k—~8.6kAutomated safety check: NotesApache-2.0

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Questions about Continuous Learning

What does Continuous Learning do?

Claude Code oturumlarından yeniden kullanılabilir kalıpları otomatik olarak çıkarın ve gelecekte kullanmak üzere öğrenilmiş skill'ler olarak kaydedin. Continuous Learning is an agent skill from affaan-m/ECC. Claude Code oturumlarından yeniden kullanılabilir kalıpları otomatik olarak çıkarın ve gelecekte kullanmak üzere öğrenilmiş skill'ler olarak kaydedin.

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/tr/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/tr/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 959 tokens (SKILL.md is roughly 3.8k 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: Continue (telegramdesktop/tdesktop, 33k stars), Continuity (parcadei/Continuous-Claude-v3, 3.9k stars), Continue (udecode/plate, 17k stars) and Continue PR (ClickHouse/ClickHouse, 50k 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.