planning-with-files SKILL.md skillA

planning-with-files from othmanadi/planning-with-files is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add othmanadi/planning-with-files/planning-with-files@v3.25.0

Pins v3.25.0 in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

othmanadi/planning-with-files

Path

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

Versions recorded

31

Latest version

v3.25.0, committed Oct 20, 2026

First version recorded

Sep 2, 2026

Size

11,872 bytes

Repository stars

27,556

License

MIT

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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Planning with Files

Work like Manus: Use persistent markdown files as your "working memory on disk."

## FIRST: Restore Project State

**Before continuing**, resolve the plan this task owns. Use the installed `scripts/resolve-plan-dir.sh` (or `.ps1`) with the host's `PLAN_ID` and `PWF_PLAN_ROOT`, then read `task_plan.md`, `progress.md`, and `findings.md` from that selected directory. If an explicit selector is rejected, or multiple named plans exist without `PLAN_ID`, correct the pin and do not fall back to another task. Run `git diff --stat` for code changes not yet recorded there. All planning filenames below mean that selected directory. For parallel tasks, pin each host before it starts or use separate worktrees; a child process export does not change its host. One orchestrator owns a shared plan and summaries, while workers use assigned files or ledgers.

```bash
# Linux/macOS — auto-detects skill directory (plugin env or default install path)
SKILL_DIR="${CODEBUDDY_PLUGIN_ROOT:-$HOME/.codebuddy/skills/planning-with-files}"
$(command -v python3 || command -v python) "${SKILL_DIR}/scripts/session-catchup.py" --metadata "$(pwd)"
```

```powershell
# Windows PowerShell
…

Read the whole file at its exact version.

How to install

mdr add othmanadi/planning-with-files/planning-with-files@sha256:ca18582e89b724a2

[![mdr](https://markdownregistry.com/badge/art_2p5nlhqh2sfe4343.svg)](https://markdownregistry.com/a/art_2p5nlhqh2sfe4343)

Versions

The registry has recorded 31 versions of this file, between Sep 2, 2026 and Oct 20, 2026, about one every 2 days.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_2p5nlhqh2sfe4343
GET https://markdownregistry.com/api/v1/resolve?ref=othmanadi/planning-with-files/planning-with-files
GET https://markdownregistry.com/api/v1/blob/ca18582e89b724a2d25e3994d44751b91044594c4cda893f954d8880b650e476

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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