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Draft Openspec Docs

OrganizationPopular
Fission-AI
draft-openspec-docs

Collaborative page-drafting mode for the OpenSpec docs. Builds a scratch plan inside the target page (purpose, structure, numbered draft steps), iterates on it with the user, then drafts one section per approved step and cleans up after itself. Use when a page needs a from-scratch rewrite or a new page is being shaped with the user in the loop.

Overview

PublisherFission-AI
RepositoryOpenSpec
Skill namedraft-openspec-docs
Stars
70.8K
Forks
4.9K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Fission-AI on GitHub. Read the source before you install it.

Installation

Install the Draft Openspec Docs AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Fission-AI/OpenSpec/tree/main/.agents/skills/draft-openspec-docs
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Fission-AI/OpenSpec.git /tmp/OpenSpec
mkdir -p .claude/skills
cp -r /tmp/OpenSpec/.agents/skills/draft-openspec-docs .claude/skills/draft-openspec-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Draft Openspec Docs in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Draft Openspec Docs on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Draft Openspec Docs is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Draft OpenSpec docs (scratch-plan workflow)

You are shaping a docs page with the user in the loop. The page is planned and reviewed inside the page itself, then drafted one section at a time. Load write-openspec-docs (the style authority) and no-ai-slop before drafting anything.

1. Set up the scratch section

Strip the page to its title and > goal line, then add a working section below them:

md
## Scratch: page plan (delete before publish)

### Purpose

### Structure
  • Purpose: 3-5 dot points. Who the reader is and what they come to look up, what the page covers, what it links out to. Check docs-lab/README.md (the page's goal line) and docs-lab/message-map.md (the questions routed here) before writing it.
  • Structure: a numbered list of the page's sections, one line each naming the section and the shape of its content (table, fence, tree, bullets).
  • Say what the page will do, never what it won't. Plain words and short bullets; the user reads this in their editor.

2. Iterate until the plan is approved

  • Plan edits are cheap; page edits aren't. Reshape the plan as many times as the user asks before drafting.
  • Record every decision in the plan itself, not only in chat. Add a ### Notes list for follow-ups that belong to other pages and product observations found along the way.
  • The user may edit the file directly between turns; their edits are decisions, not drift to revert.
  • Surface one open call at a time, with a recommendation.

3. Add the draft plan, then draft step by step

Once the structure holds, add a ### Draft plan below the notes: one step per page section, each with an ID and a readable title (**D1. Goal line and intro**), ending with a consolidation step (cross-page updates) and a cleanup step. Then:

  • Wait for the user to call a step ID. Draft exactly that step, into the page above the scratch block.
  • Verify each fact against source before writing it; a cheap grep beats trust. Reference content shows the raw contract (templates, instructions, config) verbatim in fences, linked to the file on GitHub, rather than paraphrasing it.
  • Keep sibling sections on a repeatable sub-structure so the page scans as one system.
  • Mark the step (done) in the plan, report what landed, and name the next step.

4. Consolidation and cleanup

  • Consolidation: update everything that points at the page. The README goal line (verbatim match with the page's > line), the message map, the sync config (website/docs.sync.config.mjs), and any cross-links found by grepping the tree. Run node website/scripts/sync-docs.mjs to validate.
  • Cleanup: delete the scratch block, run the retrievability and glance tests from write-openspec-docs at desktop and narrow widths, and flip the page's message-map row to Answered if its prose landed.

Frequently asked questions

What does the Draft Openspec Docs AI skill do?

Collaborative page-drafting mode for the OpenSpec docs. Builds a scratch plan inside the target page (purpose, structure, numbered draft steps), iterates on it with the user, then drafts one section per approved step and cleans up after itself. Use when a page needs a from-scratch rewrite or a new page is being shaped with the user in the loop.

Why use Draft Openspec Docs on TypingMind?

Because you install it once and use it with any model. Draft Openspec Docs is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Draft Openspec Docs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Fission-AI/OpenSpec/tree/main/.agents/skills/draft-openspec-docs. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Draft Openspec Docs?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Draft Openspec Docs?

As many as you like. As long as a model supports skills, you can use Draft Openspec Docs with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Draft Openspec Docs AI skill free?

Yes. It is published on GitHub by Fission-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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