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Agent Skill

Planning With Files De skill

planning-with-files-deOthmanAdi/planning-with-filesskills/i18n/planning-with-files-de/SKILL.md

Persistente dateibasierte Planung für mehrstufige Arbeit mit KI-Agenten. Hält task_plan.md, findings.md und progress.md auf dem Datenträger; Lebenszyklus-Hooks speisen ausgewählten Planungskontext des Projekts ein. Die automatische Wiederherstellung liest nur die Planungsdateien des Projekts. Nur ein ausdrücklicher Aufruf von session-catchup.py --metadata darf lokale Sitzungsmetadaten desselben Projekts prüfen; --replay darf begrenzte, nonce-gerahmte Auszüge ausgeben. Der optionale Gate-Modus kann nur bei Unterstützung durch den Host eine Fortsetzung anfordern und führt niemals in Markdown angegebene Befehle aus. Der Skill hat keinen Netzwerk-Uploadpfad. Verwenden für Forschung oder Arbeit mit mehr als 5 Tool-Aufrufen.

28kMIT

always on

175 tokname + description

once used

2,541 tokSKILL.md body

bundled files

2522 scripts

repo stars

28kGitHub

Install the Planning With Files De skill

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

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

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-de ~/.claude/skills/planning-with-files-de

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 description175 tok
When the agent uses itThe SKILL.md instructions2,541 tok
Only if opened25 bundled files (340 KB)varies

Until it is used, planning-with-files-de costs about 7.8× 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.

  • Dateiplanungssystem
  • Schritt 1: Projektzustand wiederherstellen
  • Wichtig: Dateispeicherort
  • Schnellstart
  • Kernmuster
  • Dateizwecke
  • Wichtige Regeln
  • 1. Zuerst Plan erstellen
  • 2. Zwei-Schritte-Regel
  • 3. Vor Entscheidungen erst lesen
  • 4. Nach Aktionen aktualisieren
  • 5. Alle Fehler protokollieren
  • 6. Wiederhole niemals denselben Fehler
  • 7. Nach Abschluss weitermachen
  • Drei-Versuche-Protokoll
  • Lesen vs. Schreiben Entscheidungsmatrix
  • Fünf-Fragen-Neustarttest
  • Wann dieses Muster verwenden
  • Vorlagen
  • Skripte
  • Gespeicherte Pläne auflisten
  • Sicherheitsgrenzen
  • Anti-Muster

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