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kv0906
doc

Draft or edit a document — PRD, spec, design doc, technical brief. Use for "/doc project title" to create a new doc or edit existing.

Overview

Publisherkv0906
Repositorypm-kit
Skill namedoc
Stars
140
Forks
35
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 kv0906 on GitHub. Read the source before you install it.

Installation

Install the Doc 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/kv0906/pm-kit/tree/main/.claude/skills/doc
  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/kv0906/pm-kit.git /tmp/pm-kit
mkdir -p .claude/skills
cp -r /tmp/pm-kit/.claude/skills/doc .claude/skills/doc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Doc 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 Doc 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 Doc 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.

/doc — Document Drafting

Create or edit documents (specs, PRDs, design docs, etc.).

Context

Today's date: !date +%Y-%m-%d Existing docs: !ls docs/*/*.md 2>/dev/null | tail -10

Reference template: @_templates/doc.md Config: @_core/config.yaml Processing logic: @_core/PROCESSING.md Product judgment: @_core/judgment.md Knowledge and evidence: @_core/knowledge.md

Input

User input: $ARGUMENTS

Processing Steps

  1. Parse Input

    • Extract project
    • Extract title/feature name
  2. Check Existing

    • Search docs/{project}/*.md for similar titles (or docs/general/*.md if no project)
    • If found: Offer to edit or create new
  3. Gather Context

    • Read the user's profile and relevant project index; follow linked product context and approved judgment/writing examples
    • Search related docs, customer feedback, meetings, decisions, and blockers
    • Identify the affected user, their task, observed problem, and desired business outcome before proposing requirements
    • Separate sources, interpretations, and assumptions; retain conflicting evidence and mark missing evidence as unknown
    • Use /discover when the problem needs investigation and /prioritize when competing requests need a scope decision
  4. Interactive Drafting

    • Accept existing content; ask only for gaps that materially affect the problem, scope, or validation
    • Draft problem statement, evidence, assumptions, goals/non-goals, and requirements at the depth the task needs
    • For goals, state the intended outcome; include metric definition, baseline, target, period, and source when known
    • Follow _core/judgment.md to select outcome measures; reuse existing goals rather than forcing a North Star, OKR, or metric tree
    • For consequential releases or experiments, include relevant guardrails, instrumentation gaps, and proposed scale/iterate/stop criteria
    • Propose the smallest validation step and review point; distinguish proposed targets from approved commitments
    • Do not invent metric values, customer quotes, priorities, owners, or technical decisions
    • For an approved feature direction, break work into small user stories with actor, need, benefit, and observable acceptance criteria
    • Cover relevant failure and recovery cases; flag dependencies. If direction is unapproved, label any stories as proposed
    • Keep technical approach optional when unknown; match the requested audience, language, and approved voice examples
  5. Create Doc Note

    • If no project specified: write to docs/general/{slug}.md
    • If project specified: write to docs/{project}/{slug}.md
    • Apply template with gathered data
    • For saved explanations, research briefs, comparisons, or journey maps, adapt template sections to the purpose; do not add PRD requirements to a thinking note
    • Status: draft
    • Mark missing sections as unknown or not applicable; never leave unresolved template variables
    • When editing, preserve existing content and structure; add evidence and validation only where they are relevant
    • Add ## Links section
  6. Update References

    • Add to project index if exists
  7. Append to Vault Log

    • Append entry to 01-index/_vault-log.md (see .claude/rules/vault-log.md)
    • Action: doc
    • Details: doc title and status

Output

Created: docs/{project}/{slug}.md
Status: draft
Sections: {filled}/{total}

Highlight important evidence gaps and the next validation step. Creating a local draft does not authorize publishing it or creating external tickets.

Export (Optional)

Supports --docx, --pdf flags. See .claude/rules/export-formats.md for layout specs and workflow. Complete normal processing first, then generate the formatted file.

Frequently asked questions

What does the Doc AI skill do?

Draft or edit a document — PRD, spec, design doc, technical brief. Use for "/doc project title" to create a new doc or edit existing.

Why use Doc on TypingMind?

Because you install it once and use it with any model. Doc 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 Doc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kv0906/pm-kit/tree/main/.claude/skills/doc. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Doc?

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 Doc?

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

Is the Doc AI skill free?

Yes. It is published on GitHub by kv0906 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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