Agent skill

Continuous Learning V2

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes.

MITAuto-check passed

Install Continuous Learning V2

skills CLI

$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a claude-code

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

GitHub CLI

$ gh skill install affaan-m/ECC continuous-learning-v2 --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-v2 .claude/skills/continuous-learning-v2 && 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/

Paste into Claude Code

Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/es/skills/continuous-learning-v2 into .claude/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/affaan-m/ECC/tree/main/docs/es/skills/continuous-learning-v2

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC continuous-learning-v2 --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/es/skills/continuous-learning-v2 .agents/skills/continuous-learning-v2 && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/es/skills/continuous-learning-v2 into .agents/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC continuous-learning-v2 --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/es/skills/continuous-learning-v2 .cursor/skills/continuous-learning-v2 && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/es/skills/continuous-learning-v2 into .cursor/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/affaan-m/ECC.git --path docs/es/skills/continuous-learning-v2

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC continuous-learning-v2 --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/es/skills/continuous-learning-v2 .gemini/skills/continuous-learning-v2 && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/es/skills/continuous-learning-v2 into .gemini/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install affaan-m/ECC continuous-learning-v2

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/es/skills/continuous-learning-v2 .github/skills/continuous-learning-v2 && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/es/skills/continuous-learning-v2 into .github/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add affaan-m/ECC --skill continuous-learning-v2 -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC continuous-learning-v2 --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/es/skills/continuous-learning-v2 .opencode/skills/continuous-learning-v2 && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "continuous-learning-v2" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/es/skills/continuous-learning-v2 into .opencode/skills/continuous-learning-v2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "continuous-learning-v2", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: continuous-learning-v2
GitHub stars: 276k
Token cost: ~2.4k tokens
SKILL.md length: 712 words
Files: 1
Skills in repo: 673
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes.

Works in 2 steps: Habilitar Hooks de Observación → Usar los Comandos de Instinto
SKILL.md covers Cuándo Activar, Qué hay de Nuevo en v2.1, Qué hay de Nuevo en v2 (vs v1) and El Modelo de Instinto, plus 6 more sections
Calls git and bash

What it does

Continuous Learning V2 is an agent skill from affaan-m/ECC. Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. v2.1 agrega instintos con alcance de proyecto para prevenir contaminación entre proyectos.

Its SKILL.md is about 2.4k 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-v2”

Requirements

Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

Habilitar Hooks de Observación
Usar los Comandos de Instinto

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
Shell commands in SKILL.md call:
- git
- bash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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 V2 loads about 2.4k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 712 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~73
When it runs · the whole SKILL.md, loaded when a task matches: ~2.4k

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). 712 words, ~2,350 tokens.

Download SKILL.mdSave it as .claude/skills/continuous-learning-v2/SKILL.md (or your agent's skills folder).

name: continuous-learning-v2
description: Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. v2.1 agrega instintos con alcance de proyecto para prevenir contaminación entre proyectos.
origin: ECC
version: 2.1.0

Aprendizaje Continuo v2.1 - Arquitectura Basada en Instintos

Un sistema de aprendizaje avanzado que convierte tus sesiones de Claude Code en conocimiento reutilizable a través de "instintos" atómicos — pequeños comportamientos aprendidos con puntuación de confianza.

v2.1 agrega instintos con alcance de proyecto — los patrones de React se quedan en tu proyecto React, las convenciones de Python se quedan en tu proyecto Python, y los patrones universales (como "siempre validar la entrada") se comparten globalmente.

Cuándo Activar

Configurar aprendizaje automático desde sesiones de Claude Code
Configurar extracción de comportamientos basada en instintos mediante hooks
Ajustar umbrales de confianza para comportamientos aprendidos
Revisar, exportar o importar librerías de instintos
Evolucionar instintos en skills, comandos o agentes completos
Gestionar instintos con alcance de proyecto vs globales
Promover instintos de alcance de proyecto a global

Qué hay de Nuevo en v2.1

Característica	v2.0	v2.1
Almacenamiento	Global (`~/.claude/homunculus/`)	Con alcance de proyecto (`${XDG_DATA_HOME:-~/.local/share}/ecc-homunculus/projects/<hash>/`)
Alcance	Todos los instintos aplican en todas partes	Con alcance de proyecto + global
Detección	Ninguna	URL remota de git / ruta del repositorio
Promoción	N/A	Proyecto → global cuando se ve en 2+ proyectos
Comandos	4 (status/evolve/export/import)	6 (+promote/projects)
Entre proyectos	Riesgo de contaminación	Aislado por defecto

Qué hay de Nuevo en v2 (vs v1)

Característica	v1	v2
Observación	Hook Stop (fin de sesión)	PreToolUse/PostToolUse (100% confiable)
Análisis	Contexto principal	Agente en segundo plano (Haiku)
Granularidad	Skills completos	"Instintos" atómicos
Confianza	Ninguna	Ponderada 0.3-0.9
Evolución	Directamente a skill	Instintos → cluster → skill/comando/agente
Compartir	Ninguno	Exportar/importar instintos

El Modelo de Instinto

Un instinto es un pequeño comportamiento aprendido:

yaml

---
id: prefer-functional-style
trigger: "when writing new functions"
confidence: 0.7
domain: "code-style"
source: "session-observation"
scope: project
project_id: "a1b2c3d4e5f6"
project_name: "my-react-app"
---

# Prefer Functional Style

## Action
Use functional patterns over classes when appropriate.

## Evidence
- Observed 5 instances of functional pattern preference
- User corrected class-based approach to functional on 2025-01-15

Propiedades:

Atómico — un disparador, una acción
Ponderado por confianza — 0.3 = tentativo, 0.9 = casi seguro
Etiquetado por dominio — code-style, testing, git, debugging, workflow, etc.
Respaldado por evidencia — rastrea qué observaciones lo crearon
Consciente del alcance — project (por defecto) o global

Cómo Funciona

Actividad de Sesión (en un repositorio git)
      |
      | Los hooks capturan prompts + uso de herramientas (100% confiable)
      | + detectan contexto del proyecto (git remote / ruta del repo)
      v
+---------------------------------------------+
|  projects/<project-hash>/observations.jsonl  |
|   (prompts, llamadas de herramientas, resultados, proyecto)   |
+---------------------------------------------+
      |
      | El agente observador lee (segundo plano, Haiku)
      v
+---------------------------------------------+
|          DETECCIÓN DE PATRONES               |
|   * Correcciones de usuario -> instinto      |
|   * Resoluciones de errores -> instinto      |
|   * Flujos de trabajo repetidos -> instinto  |
|   * Decisión de alcance: ¿proyecto o global? |
+---------------------------------------------+
      |
      | Crea/actualiza
      v
+---------------------------------------------+
|  projects/<project-hash>/instincts/personal/ |
|   * prefer-functional.yaml (0.7) [project]   |
|   * use-react-hooks.yaml (0.9) [project]     |
+---------------------------------------------+
|  instincts/personal/  (GLOBAL)               |
|   * always-validate-input.yaml (0.85) [global]|
|   * grep-before-edit.yaml (0.6) [global]     |
+---------------------------------------------+
      |
      | /evolve clusters + /promote
      v
+---------------------------------------------+
|  projects/<hash>/evolved/ (project-scoped)   |
|  evolved/ (global)                           |
|   * commands/new-feature.md                  |
|   * skills/testing-workflow.md               |
|   * agents/refactor-specialist.md            |
+---------------------------------------------+

Detección de Proyecto

El sistema detecta automáticamente tu proyecto actual:

Variable de entorno CLAUDE_PROJECT_DIR (máxima prioridad)
git remote get-url origin — hasheado para crear un ID de proyecto portable (el mismo repo en diferentes máquinas obtiene el mismo ID)
git rev-parse --show-toplevel — respaldo usando la ruta del repo (específica de la máquina)
Respaldo global — si no se detecta ningún proyecto, los instintos van al alcance global

Cada proyecto obtiene un ID hash de 12 caracteres (ej. a1b2c3d4e5f6). Un archivo de registro en ${XDG_DATA_HOME:-~/.local/share}/ecc-homunculus/projects.json mapea IDs a nombres legibles.

Directorio de Datos

Continuous-learning-v2 almacena los datos del observador fuera de ~/.claude para que el guard de rutas sensibles de Claude Code no bloquee las escrituras de instintos en segundo plano:

CLV2_HOMUNCULUS_DIR cuando se establece a una ruta absoluta
$XDG_DATA_HOME/ecc-homunculus
$HOME/.local/share/ecc-homunculus

Los usuarios existentes con datos en ~/.claude/homunculus pueden migrar una vez:

bash

bash skills/continuous-learning-v2/scripts/migrate-homunculus.sh

Show full SKILL.md (274 more words)Show less

Inicio Rápido

1. Habilitar Hooks de Observación

Si está instalado como plugin (recomendado):

No se requiere bloque extra de hooks en settings.json. Claude Code v2.1+ carga automáticamente el hooks/hooks.json del plugin, y observe.sh ya está registrado allí.

Si está instalado manualmente en ~/.claude/skills, agregar esto a tu ~/.claude/settings.json:

json

{
  "hooks": {
    "PreToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh"
      }]
    }],
    "PostToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh"
      }]
    }]
  }
}

2. Usar los Comandos de Instinto

bash

/instinct-status     # Mostrar instintos aprendidos (proyecto + global)
/evolve              # Agrupar instintos relacionados en skills/comandos
/instinct-export     # Exportar instintos a archivo
/instinct-import     # Importar instintos de otros
/promote             # Promover instintos de proyecto a alcance global
/projects            # Listar todos los proyectos conocidos y sus conteos de instintos

Guía de Decisión de Alcance

Tipo de Patrón	Alcance	Ejemplos
Convenciones de lenguaje/framework	project	"Usar React hooks", "Seguir patrones Django REST"
Preferencias de estructura de archivos	project	"Pruebas en `__tests__`/", "Componentes en src/components/"
Estilo de código	project	"Usar estilo funcional", "Preferir dataclasses"
Estrategias de manejo de errores	project	"Usar tipo Result para errores"
Prácticas de seguridad	global	"Validar entrada de usuario", "Sanitizar SQL"
Buenas prácticas generales	global	"Escribir pruebas primero", "Siempre manejar errores"
Preferencias de flujo de trabajo de herramientas	global	"Grep antes de Edit", "Read antes de Write"
Prácticas de Git	global	"Conventional commits", "Commits pequeños y enfocados"

Puntuación de Confianza

La confianza evoluciona con el tiempo:

Puntuación	Significado	Comportamiento
0.3	Tentativo	Sugerido pero no aplicado
0.5	Moderado	Aplicado cuando es relevante
0.7	Fuerte	Auto-aprobado para aplicación
0.9	Casi seguro	Comportamiento central

La confianza aumenta cuando:

El patrón se observa repetidamente
El usuario no corrige el comportamiento sugerido
Instintos similares de otras fuentes coinciden

La confianza disminuye cuando:

El usuario corrige explícitamente el comportamiento
El patrón no se observa por períodos extendidos
Aparece evidencia contradictoria

Privacidad

Las observaciones permanecen locales en tu máquina
Los instintos con alcance de proyecto están aislados por proyecto
Solo los instintos (patrones) pueden exportarse — no las observaciones brutas
No se comparte código real ni contenido de conversaciones
Tú controlas qué se exporta y promueve

Files

Just SKILL.md in docs/es/skills/continuous-learning-v2 of affaan-m/ECC.

Open the folder on GitHubat commit ef648e0

Compare with similar skills

Continuous Learning V2 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 V2 compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Continuous Learning V2 this skillaffaan-m/ECC	276k	—	~2.4k	Automated safety check: Pass	MIT	4 days ago
Continuetelegramdesktop/tdesktop	33k	2 repos	~9.4k	Automated safety check: Pass	GPL-3.0	today
Continuityparcadei/Continuous-Claude-v3	3.9k	1 repos	~292	Automated safety check: Notes	MIT	8 mo ago
Continueudecode/plate	17k	—	~2.6k	Automated safety check: Pass	Custom licence	today
Continue PRClickHouse/ClickHouse	50k	—	~5.5k	Automated safety check: Notes	Apache-2.0	today
Continue PR AutoClickHouse/ClickHouse	50k	—	~8.6k	Automated safety check: Notes	Apache-2.0	today

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Questions about Continuous Learning V2

What does Continuous Learning V2 do?

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. Continuous Learning V2 is an agent skill from affaan-m/ECC. Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes.

How do I install Continuous Learning V2 in Claude Code?

Run `npx skills add affaan-m/ECC --skill continuous-learning-v2 -a claude-code`. Or copy the skill folder (docs/es/skills/continuous-learning-v2 in affaan-m/ECC) into .claude/skills/continuous-learning-v2 in your project. Claude Code loads it when a task matches its description.

How do I install Continuous Learning V2 in Codex?

Run `npx skills add affaan-m/ECC --skill continuous-learning-v2 -a codex`. Or copy the skill folder (docs/es/skills/continuous-learning-v2 in affaan-m/ECC) into .agents/skills/continuous-learning-v2 in your project. Codex loads it when a task matches its description.

Can I use Continuous Learning V2 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-v2 -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-v2, .gemini/skills/continuous-learning-v2, .github/skills/continuous-learning-v2 and .opencode/skills/continuous-learning-v2 in your project.

What does Continuous Learning V2 need to run?

Going by SKILL.md and its folder, Continuous Learning V2 needs the command-line tools its instructions call (git and bash). Our summary lists: Python 3.

Does Continuous Learning V2 access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Continuous Learning V2 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 V2 use?

Continuous Learning V2 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 V2 use?

About 2.4k tokens (SKILL.md is roughly 9.4k 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 V2?

Skills that share tags, products or a category with Continuous Learning V2: 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 V2?

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.

Install Continuous Learning V2

Facts

At a glance

What it does

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

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Context cost

Safety

SKILL.md

Aprendizaje Continuo v2.1 - Arquitectura Basada en Instintos

Cuándo Activar

Qué hay de Nuevo en v2.1

Qué hay de Nuevo en v2 (vs v1)

El Modelo de Instinto

Cómo Funciona

Detección de Proyecto

Directorio de Datos

Inicio Rápido

1. Habilitar Hooks de Observación

2. Usar los Comandos de Instinto

Guía de Decisión de Alcance

Puntuación de Confianza

Privacidad

Files

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