Agent skill

Continuous Learning

by affaan-m in affaan-m/ECC

[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado.

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/es/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
275k
Token cost
~1.2k tokens
SKILL.md length
470 words
Files
1
Skills in repo
645
Repo updated
First seen
Licence
MIT

At a glance

[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado.

  • Works in 3 steps: Evaluación de Sesión: Verifica si la… → Detección de Patrones: Identifica… → Extracción de Skills: Guarda patrones…
  • SKILL.md covers Documentación Original v1…, Cuándo Activar, Estado and Cómo Funciona, plus 6 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. [OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. v2 es un superconjunto estricto con aprendizaje basado en instintos, con alcance de proyecto y hooks confiables. No invocar v1; dirigir solicitudes de aprendizaje continuo, aprendizaje de sesión y extracción de patrones a continuous-learning-v2.

Its SKILL.md is about 1.2k 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. Evaluación de Sesión: Verifica si la sesión tiene suficientes mensajes (por defecto: 10+)
  2. Detección de Patrones: Identifica patrones extraíbles de la sesión
  3. Extracción de Skills: Guarda patrones útiles en ~/.claude/skills/learned/

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

    No URLs in SKILL.md.

    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 1.2k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 470 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~88
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 470 words, ~1,235 tokens.

Download SKILL.mdSave it as .claude/skills/continuous-learning/SKILL.md (or your agent's skills folder).
name
continuous-learning
description
[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. v2 es un superconjunto estricto con aprendizaje basado en instintos, con alcance de proyecto y hooks confiables. No invocar v1; dirigir solicitudes de aprendizaje continuo, aprendizaje de sesión y extracción de patrones a continuous-learning-v2.
origin
ECC

Skill de Aprendizaje Continuo - OBSOLETO

OBSOLETO el 2026-04-28. Usar continuous-learning-v2 en su lugar. v2 es un superconjunto estricto: la observación por hook Stop se convierte en observación PreToolUse/PostToolUse, los skills completos se convierten en instintos atómicos con puntuación de confianza, y el almacenamiento solo global se convierte en almacenamiento con alcance de proyecto más promoción global.

Este archivo se mantiene como referencia de archivo y compatibilidad retroactiva con instalaciones existentes.


Documentación Original v1 (archivo)

Evalúa automáticamente las sesiones de Claude Code al terminar para extraer patrones reutilizables que pueden guardarse como skills aprendidos.

Cuándo Activar

  • Configurar extracción automática de patrones desde sesiones de Claude Code
  • Configurar el hook Stop para evaluación de sesiones
  • Revisar o curar skills aprendidos en ~/.claude/skills/learned/
  • Ajustar umbrales de extracción o categorías de patrones
  • Comparar enfoques v1 (este) vs v2 (basado en instintos)

Estado

Este skill v1 sigue siendo compatible, pero continuous-learning-v2 es la ruta preferida para nuevas instalaciones. Mantener v1 cuando explícitamente quieras el flujo de extracción por hook Stop más simple o necesites compatibilidad con flujos de trabajo de skills aprendidos más antiguos.

Cómo Funciona

Este skill se ejecuta como un hook Stop al final de cada sesión:

  1. Evaluación de Sesión: Verifica si la sesión tiene suficientes mensajes (por defecto: 10+)
  2. Detección de Patrones: Identifica patrones extraíbles de la sesión
  3. Extracción de Skills: Guarda patrones útiles en ~/.claude/skills/learned/

Configuración

Editar config.json para personalizar:

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"
  ]
}

Tipos de Patrones

PatrónDescripción
error_resolutionCómo se resolvieron errores específicos
user_correctionsPatrones de correcciones del usuario
workaroundsSoluciones a peculiaridades de frameworks/librerías
debugging_techniquesEnfoques efectivos de depuración
project_specificConvenciones específicas del proyecto

Configuración del Hook

Agregar a tu ~/.claude/settings.json:

json
{
  "hooks": {
    "Stop": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning/evaluate-session.sh"
      }]
    }]
  }
}
Show full SKILL.md (198 more words)Show less

Por Qué Hook Stop?

  • Ligero: Se ejecuta una vez al final de la sesión
  • No bloqueante: No agrega latencia a cada mensaje
  • Contexto completo: Tiene acceso a la transcripción completa de la sesión

Relacionado

  • /learn — Extracción manual de patrones a mitad de sesión

Notas de Comparación (Investigación: Ene 2025)

vs Homunculus

Homunculus v2 adopta un enfoque más sofisticado:

CaracterísticaNuestro EnfoqueHomunculus v2
ObservaciónHook Stop (fin de sesión)Hooks PreToolUse/PostToolUse (100% confiable)
AnálisisContexto principalAgente en segundo plano (Haiku)
GranularidadSkills completos"Instintos" atómicos
ConfianzaNingunaPonderada 0.3-0.9
EvoluciónDirectamente a skillInstintos → cluster → skill/comando/agente
CompartirNingunoExportar/importar instintos

Insight clave de homunculus:

"v1 dependía de skills para observar. Los skills son probabilísticos — se activan ~50-80% del tiempo. v2 usa hooks para la observación (100% confiable) e instintos como unidad atómica de comportamiento aprendido."

Mejoras Potenciales v2
  1. Aprendizaje basado en instintos — Comportamientos más pequeños y atómicos con puntuación de confianza
  2. Observador en segundo plano — Agente Haiku analizando en paralelo
  3. Decaimiento de confianza — Los instintos pierden confianza si son contradichos
  4. Etiquetado de dominio — code-style, testing, git, debugging, etc.
  5. Ruta de evolución — Agrupar instintos relacionados en skills/comandos

Ver: docs/continuous-learning-v2-spec.md para la especificación completa.

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

Open the folder on GitHubat commit ef648e0

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.

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Continuous Learning this skillaffaan-m/ECC275k—~1.2kAutomated 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?

[OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado. Continuous Learning is an agent skill from affaan-m/ECC. [OBSOLETO - usar continuous-learning-v2] Extractor de skill por hook Stop v1 heredado.

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/es/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/es/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 contains no URLs. Any network use would come from the scripts or tools the agent runs. 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 1.2k tokens (SKILL.md is roughly 4.9k 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 275,023 GitHub stars. The repository holds 645 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.