OthmanAdi/planning-with-files

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 stars

Before you install

Last update
Files in folder
15
Scripts
Contains scripts. Review them before running.
SKILL.md size
12 KB (about 3,115 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-8

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-8 --agent claude-code -y
Project install writes to
.claude/skills/planning-with-files-8
Global install writes to
~/.claude/skills/planning-with-files-8

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-8.

What it does

Hermes note: lifecycle automation for this skill comes from the Hermes adapter plugin in .hermes/plugins/planning-with-files/. Install it with hermes plugins install OthmanAdi/planning-with-files/.hermes/plugins/planning-with-files, then hermes plugins enable planning-with-files. Full guide: docs/hermes.md in the repository. Planning with Files Work like Manus: Use persistent markdown files as your "working memory on disk." FIRST: Restore Project State Before doing anything else, check if planning files exist and read them: 1. If taskplan.md exists (in the project root, or in the active…

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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