OthmanAdi/planning-with-files

planning-with-files-ar

تخطيط مستمر قائم على الملفات لعمل وكلاء الذكاء الاصطناعي متعدد الخطوات. يحتفظ بملفات task_plan.md و findings.md و progress.md على القرص، وتحقن خطافات دورة الحياة سياق التخطيط المحدد للمشروع. تقرأ الاستعادة التلقائية ملفات تخطيط المشروع فقط. يمكن للأمر الصريح session-catchup.py --metadata فحص بيانات وصفية لجلسات الوكيل المحلية التابعة للمشروع نفسه، بينما قد يصدر --replay مقتطفات محدودة مؤطرة بقيمة nonce. يمكن للوضع المحكوم الاختياري طلب المتابعة فقط عندما يدعمه المضيف، ولا ينفذ أبدًا أوامر معلنة في Markdown. لا تتضمن المهارة مسارًا لرفع البيانات عبر الشبكة. تُستخدم للبحث أو العمل الذي يحتاج إلى 5 استدعاءات أدوات أو أكثر.

6.5K installs 27K stars

Before you install

Last update
Files in folder
26
Scripts
Contains scripts. Review them before running.
SKILL.md size
18 KB (about 4,645 tokens of context each time it loads)
License
MIT

Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.

Install

npx skills add OthmanAdi/planning-with-files@planning-with-files-ar

Runs in a terminal with Node.js 18 or newer. Add -y to skip the prompts and -g to install for every project instead of this one.

Install for your agent

npx skills add OthmanAdi/planning-with-files@planning-with-files-ar --agent claude-code -y
Project install writes to
.claude/skills/planning-with-files-ar
Global install writes to
~/.claude/skills/planning-with-files-ar

Start a new session afterwards so the agent picks the skill up. In Claude Code you can also call it directly with /planning-with-files-ar.

What it does

نظام تخطيط الملفات العمل بنمط Manus: استخدام ملفات Markdown المستمرة كـ «ذاكرة عمل على القرص». الخطوة الأولى: استعادة حالة المشروع قبل المتابعة، حدّد دليل الخطة الذي تملكه هذه المهمة: 1. استخدم scripts/resolve-plan-dir.sh (أو .ps1) المثبت مع PLANID وPWFPLANROOT الخاصين بالمضيف، ثم اقرأ taskplan.md وprogress.md وfindings.md من ذلك الدليل المحدد. 2. إذا رُفض محدد صريح، أو كانت عزلة الجلسة مفعلة وفيها عدة خطط بلا PLANID، صحح التثبيت ولا ترجع إلى مهمة أخرى. استخدم ملفات جذر المشروع القديمة فقط عندما لا ينطبق محدد أو خطة مسماة. 3. نفّذ git diff --stat لرؤية تغييرات الكود التي قد لا تكون مسجلة بعد.…

Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.

Categories

Related skills

  • planning-with-files

    OthmanAdi/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.

    46K installs 27K scriptsResearchAI & agentsProductivity
  • planning-with-files

    OthmanAdi/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.

    46K installs 27K scriptsResearchAI & agentsProductivity
  • planning-with-files

    OthmanAdi/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.

    46K installs 27K scriptsResearchAI & agentsProductivity
  • planning-with-files

    OthmanAdi/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.

    46K installs 27K scriptsResearchAI & agentsProductivity
  • planning-with-files

    OthmanAdi/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.

    46K installs 27K scriptsResearchAI & agentsProductivity
  • planning-with-files

    OthmanAdi/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.

    46K installs 27K scriptsResearchAI & agentsProductivity

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