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plan SKILL.md skillA

plan from smart-ai-memory/attune-ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add smart-ai-memory/attune-ai/plan@git:20260718.206f45d

Pins git:20260718.206f45d in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
smart-ai-memory/attune-ai
Path
.agents/skills/plan/SKILL.md
Versions recorded
1
Latest version
git:20260718.206f45d, committed Jul 18, 2026
Size
3,667 bytes
Repository stars
11
License
Apache-2.0

Development planning and architecture.

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

# plan

Development planning and architecture design.

## Routes

| Subcommand | Action |
| ---------- | ------ |
| `feature` | Plan a new feature |
| `refactor` | Plan refactoring |
| `architecture` | Architecture review |

## Usage

```bash
/plan                   # Ask what to plan
/plan feature           # Plan a feature
/plan refactor          # Plan refactoring
/plan architecture      # Architecture review
```

## Behavior

All planning tasks use `EnterPlanMode` to create
a structured plan for user approval before any
implementation.

**After every plan is approved**, follow the
[Post-Plan Handoff](#post-plan-handoff) process.

### feature

Use `AskUserQuestion` to understand:

- What feature? What problem does it solve?
- What's the scope? Which files/modules?
- Any constraints or preferences?

Then use `EnterPlanMode` to design the implementation
plan. After approval, follow Post-Plan Handoff.

### refactor

Use `AskUserQuestion` to understand:

- What code needs refactoring?
- What's the goal? (simplify, split, extract)
- Any constraints?

Then use `EnterPlanMode` to plan the refactoring.
After approval, follow Post-Plan Handoff.

### architecture
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add smart-ai-memory/attune-ai/plan@sha256:e0e0baa88a4fccd1

The line at the top of this page pins the label git:20260718.206f45d, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_6e2g27klm6aoq26b.svg)](https://markdownregistry.com/a/art_6e2g27klm6aoq26b)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jul 18, 2026.

versioncommittedcommitsizeaudit
git:20260718.206f45d latest2026-07-18 206f45d 3,667 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3667 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

smart-ai-memory/attune-ai · 11 stars · license Apache-2.0 · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6e2g27klm6aoq26b
GET https://markdownregistry.com/api/v1/resolve?ref=smart-ai-memory/attune-ai/plan
GET https://markdownregistry.com/api/v1/blob/e0e0baa88a4fccd113126f04d6de4d1923655dac0f9f3d428d4e0e4885d8c844

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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