by OthmanAdi
Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents.
# Add to your Claude Code skills
git clone https://github.com/OthmanAdi/planning-with-filesGuides for using ai agents skills like planning-with-files.
Last scanned: 4/16/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-04-16T06:05:52.470Z",
"semgrepRan": false,
"npmAuditRan": true,
"pipAuditRan": true
}See how planning-with-files compares with popular alternatives.
planning-with-files is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by OthmanAdi. Persistent file-based planning for AI coding agents and long-running tasks. Crash-proof markdown plans, session recovery after /clear and compaction, per-turn re-injection against context rot, deterministic completion gate. Manus-style. Install from npm, the Claude Code plugin marketplace, or npx skills. Codex, Cursor, OpenCode, 60+ agents. It has 27,352 GitHub stars.
Yes. planning-with-files passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/OthmanAdi/planning-with-files" and add it to your Claude Code skills directory (see the Installation section above).
planning-with-files is primarily written in Shell. It is open-source under OthmanAdi on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh planning-with-files against similar tools.
No comments yet. Be the first to share your thoughts!
Based on votes and bookmarks from developers who liked this skill
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
See comparison
npx skills add OthmanAdi/planning-with-files --skill planning-with-files -g
All install methods: docs/installation.md.
Every coding agent loses its working memory when the context window resets. The plan does not have to die with it.
[!IMPORTANT] Most harnesses ship a to-do list that lives inside the context window. planning-with-files ships a plan that lives on disk, is re-injected every turn, is hash-attested, and can hold the agent's stop until the plan reports complete.
That is the difference between an agent that forgets after
/clear, compaction or a crash and one that resumes at the current phase. In the project's own measurements the plan on disk turned a 13.3-turn re-orientation into 5.0 turns, and the skill won 3 of 3 blind A/B comparisons (numbers and limits). Every mechanism below is a file on disk plus a hook, so it works the same on hour ten as on turn one.
Context Window = RAM (volatile, limited)
Filesystem = Disk (persistent, unlimited)
→ Anything important gets written to disk.
The skill keeps your plan, findings, and progress in your project:
your-project/
├── task_plan.md ← phases + checkboxes; the resume point after /clear
├── findings.md ← research notes and decisions, appended as you go
└── progress.md ← session log and test results
Parallel tasks get isolated directories instead: .planning/YYYY-MM-DD-slug/ with the same three files, selected via .active_plan (v2.36.0+). Plain markdown, gitignored by default, no runtime state anywhere else.
The pattern is the one Manus described before Meta acquired it for $2 billion on December 29, 2025, eight months and $100M+ of revenue after launch:
"Markdown is my 'working memory' on disk. Since I process information iteratively and my active context has limits, Markdown files serve as scratch pads for notes, checkpoints for progress, building blocks for final deliverables." — Manus AI
[!TIP] On these hosts planning-with-files runs as a native plugin: per-turn plan injection, progress reminders, the completion gate,
/pwfcommands and model-callable tools, with no shell hooks to register. Every other platform gets the skill through the Agent Skills standard and, where the host supports it, the frontmatter or config-file hooks listed in the platform setup guides.
🇸🇦 العربية / Arabic
npx skills add OthmanAdi/planning-with-files --skill planning-with-files-ar -g
🇩🇪 Deutsch / German
npx skills add OthmanAdi/planning-with-files --skill planning-with-files-de -g
🇪🇸 Español / Spanish
npx skills add OthmanAdi/planning-with-files --skill planning-with-files-es -g
🇨🇳 中文版 / Chinese (Simplified)
npx skills add OthmanAdi/planning-with-files --skill planning-with-files-zh -g
🇹🇼 正體中文版 / Chinese (Traditional)
npx skills add OthmanAdi/planning-with-files --skill planning-with-files-zht -g
These are real translations, not an English body with a translated description: the SKILL.md prose, the templates, and the user-facing output of check-complete, init-session and session-catchup are all localized. The status tokens stay literal English (**Status:** complete) on purpose, because check-complete.sh matches them with grep -F, so translating them would disable the completion gate.
Since v3.10.0 the variants also ship the full script surface: attestation, the Stop gate, the ledger, phase status and plan-doctor used to be canonical-only, which quietly made every non-English install a subset install. Full details, including what changed on the plugin route in v3.11.0, are in docs/languages.md.
They live under skills/i18n/, one directory deeper than the canonical skill. The install commands above are unchanged, because npx skills add resolves --skill by skill name across the whole repository. The Claude Code plugin scan reads skills/*/SKILL.md without recursing, so the plugin route registers the canonical skill alone and no longer carries five extra descriptions in every session's system prompt. On that route the /plan-ar, /plan-de, /plan-es, /plan-zh and /plan-zht commands read the translated skill from disk instead of invoking it by name.
| IDE | Installation Guide | Integration |
|---|---|---|
| Claude Code | Installation | Plugin + SKILL.md + Hooks |
| Cursor | Cursor Setup | Skills + hooks.json |
| GitHub Copilot | Copilot Setup | Hooks (incl. errorOccurred) |
| Mastra Code | Mastra Setup | Skills + Hooks |
| Gemini CLI | Gemini Setup | Skills + [Hooks](htt |