ask-to-plan SKILL.md skillA
ask-to-plan from scarletkc/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add scarletkc/agents/ask-to-plan@git:20260912.38254d6Pins git:20260912.38254d6 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- scarletkc/agents
- Path
skills/ask-to-plan/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260912.38254d6, committed Sep 12, 2026
- Size
- 9,792 bytes
- Repository stars
- 227
- License
- Apache-2.0
Guide a user from an unclear idea to an actionable plan through the agent harness's native ask tool and clickable choices. Use when the user wants a guided requirements interview, step-by-step questions, help deciding what to build, or a button-led path from goals to scope, solution, and technology choices. Do not turn an ordinary implementation request or a single clarification into an interview.
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
# Ask to Plan Help the user discover what they want by making one useful decision at a time. Move from broad outcomes to concrete requirements and then an implementable plan. The user should be able to make progress by choosing buttons, including when they have no idea yet or do not know technical terms. The default deliverable is a plan. Starting this interview or accepting a solution does not itself request implementation. If the user later asks to build it, carry the settled requirements into that work. ## Use the harness's actual ask tool Identify the native structured-question tool exposed in the current session, such as `request_user_input`, `request_user_input_async`, or the harness's equivalent. Use the tool to present choices. Follow its actual schema and current mode restrictions, including question limits, option limits, and whether the interface already supplies free-text input or an Other option. Tool names here are discovery hints, not a promise that a tool is available. Start with a brief explanation of the next decision and one native question. Do not print a questionnaire, simulate buttons in Markdown, or produce a …
Read the whole file at its exact version.
How to install
mdr add scarletkc/agents/ask-to-plan@sha256:3c8198aaf1a8b64fThe line at the top of this page pins the label git:20260912.38254d6, 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.
[](https://markdownregistry.com/a/art_k5mzylq7cpdsdcub)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 12, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9792 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
scarletkc/agents · 227 stars · license Apache-2.0 · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k5mzylq7cpdsdcub GET https://markdownregistry.com/api/v1/resolve?ref=scarletkc/agents/ask-to-plan GET https://markdownregistry.com/api/v1/blob/3c8198aaf1a8b64fb3bd76ff82821308a075b86bd21e548d3556c2a679eacd77
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.