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Slash Command26.8k estrellas del repoactualizado yesterday

pwf

The pwf command initializes a Manus-style file-based planning system by creating three markdown files (task_plan.md, findings.md, progress.md) in the current directory and launching a structured planning workflow. Use this when you need organized, persistent documentation of project phases, research findings, and session progress, with optional autonomous or gated execution modes based on user preference.

Instalar en Claude Code
Copiar
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/OthmanAdi/planning-with-files/HEAD/commands/pwf.md -o ~/.claude/commands/pwf.md
Después abre una sesión nueva de Claude Code; el slash command carga automáticamente.

pwf.md

Invoke the planning-with-files:planning-with-files skill and follow it exactly as presented to you. Treat any arguments as the task to plan.

Create the three planning files in the current project directory if they don't exist:
- task_plan.md — for phases, progress, and decisions
- findings.md — for research and discoveries
- progress.md — for session logging

If the user asked for autonomous or gated mode in their words (for example "autonomous", "gated", "don't stop until done"), initialize with `init-session.sh --autonomous` or `init-session.sh --gated` accordingly; otherwise initialize the default way.

Then guide the user through the planning workflow.
planning-with-filesSkill

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.

pi-planning-with-filesSkill

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.

plan-arSlash Command

بدء تخطيط الملفات بنمط Manus. إنشاء task_plan.md و findings.md و progress.md للمهام المعقدة.

plan-attestSlash Command

Lock the current task_plan.md content with a SHA-256 attestation. Hooks then refuse to inject plan content if the file diverges from the attested hash, blocking silent tampering. Use --show to print the stored hash, --clear to remove the attestation. Available since v2.37.0.

plan-deSlash Command

Starte Manus-artige Dateiplanung. Erstelle task_plan.md, findings.md, progress.md für komplexe Aufgaben.

plan-esSlash Command

Iniciar planificación de archivos estilo Manus. Crear task_plan.md, findings.md, progress.md para tareas complejas.

plan-goalSlash Command

Bridge Claude Code's /goal to the active plan. Derives a goal condition from task_plan.md and invokes /goal so Claude keeps working until the plan is complete. Available since v2.38.0.

plan-loopSlash Command

Run a planning-aware cadence with Claude Code's /loop. Default tick checks plan status, runs check-complete, nudges progress.md update if stalled. Available since v2.38.0.