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Agent Skill

Planning With Files Es skill

planning-with-files-esOthmanAdi/planning-with-filesskills/i18n/planning-with-files-es/SKILL.md

Planificación persistente basada en archivos para tareas multipaso de agentes de IA. Mantiene task_plan.md, findings.md y progress.md en disco; los hooks del ciclo de vida inyectan contexto seleccionado de planificación del proyecto. La recuperación automática solo lee los archivos de planificación del proyecto. session-catchup.py --metadata, solicitado de forma explícita, puede inspeccionar metadatos locales de sesiones del mismo proyecto; --replay puede emitir extractos limitados y enmarcados con nonce. El modo con gate opcional solo puede solicitar que el host continúe si este lo admite y nunca ejecuta comandos declarados en Markdown. El skill no tiene ninguna ruta de carga por red. Úsalo para investigación o trabajo que requiera 5 o más llamadas a herramientas.

28kMIT

always on

164 tokname + description

once used

2,577 tokSKILL.md body

bundled files

2522 scripts

repo stars

28kGitHub

Install the Planning With Files Es skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/OthmanAdi/planning-with-files --skill planning-with-files-es

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/OthmanAdi/planning-with-files.git /tmp/planning-with-files
mkdir -p ~/.claude/skills
cp -R /tmp/planning-with-files/skills/i18n/planning-with-files-es ~/.claude/skills/planning-with-files-es

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description164 tok
When the agent uses itThe SKILL.md instructions2,577 tok
Only if opened25 bundled files (340 KB)varies

Until it is used, planning-with-files-es costs about 8.3× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 18 skills from OthmanAdi/planning-with-files would load 2,468 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep. The agent can use these without asking while the skill is active.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Sistema de Planificación con Archivos
  • Paso 1: Recuperar el estado del proyecto
  • Importante: Ubicación de los archivos
  • Inicio rápido
  • Patrón central
  • Propósito de los archivos
  • Reglas clave
  • 1. Crear el plan primero
  • 2. Regla de dos operaciones
  • 3. Releer antes de decidir
  • 4. Actualizar tras actuar
  • 5. Registrar todos los errores
  • 6. Nunca repetir un fallo
  • 7. Continuar tras completar
  • Protocolo de tres fallos
  • Matriz de decisión Leer vs Escribir
  • Test de reinicio con cinco preguntas
  • Cuándo usar este patrón
  • Plantillas
  • Scripts
  • Listar planes guardados
  • Límites de seguridad
  • Antipatrones

More skills from OthmanAdi/planning-with-files

All skills in this repo
  1. planning-with-filesOthmanAdi/planning-with-files

    Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

    28k22117 tok idle · 7,643 in use
  2. planning-with-filesOthmanAdi/planning-with-files

    Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

    28k13117 tok idle · 2,151 in use
  3. planning-with-filesOthmanAdi/planning-with-files

    Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

    28k13117 tok idle · 1,699 in use
  4. planning-with-filesOthmanAdi/planning-with-files

    Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

    28k31117 tok idle · 8,278 in use
  5. planning-with-filesOthmanAdi/planning-with-files

    Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. This adapter registers no lifecycle or Stop hook, never requests continuation, and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

    28k12120 tok idle · 2,550 in use
  6. planning-with-filesOthmanAdi/planning-with-files

    Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

    28k17117 tok idle · 1,724 in use
  7. planning-with-filesOthmanAdi/planning-with-files

    Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

    28k17117 tok idle · 1,709 in use
  8. planning-with-filesOthmanAdi/planning-with-files

    Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

    28k17117 tok idle · 1,698 in use