Individual skill

planning-with-files

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; Gemini 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. The session-end hook reports status only; it does not request continuation or run commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

.gemini/skills/planning-with-files/SKILL.md

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Last checked
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Repository last updated
Nov 7, 2026
License
MIT

Observed agent integration: gemini-cli

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# 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 `task_plan.md` exists, read `task_plan.md`, `progress.md`, and `findings.md` immediately.
2. Run `git diff --stat` to see code changes that may not yet be recorded in the planning files.

Automatic recovery stops there. The following optional command reads same-project local session records and emits aggregate counts only:

```bash
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