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Documentation Guidelines

Community
thienanblog
documentation-guidelines

Create, audit, or consolidate durable project documentation, including feature rules, contracts, workflows, and runbooks. Use when documentation is the main deliverable; routine code changes can update their owning docs directly.

Overview

Publisherthienanblog
Repositoryawesome-ai-agent-skills
Skill namedocumentation-guidelines
Stars
66
Forks
21
Bundled files
3
LicenseApache-2.0
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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by thienanblog on GitHub. Read the source before you install it.

Installation

Install the Documentation Guidelines 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.
  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/thienanblog/awesome-ai-agent-skills.git /tmp/awesome-ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-ai-agent-skills/plugins/project-development-skills/skills/documentation-guidelines .claude/skills/documentation-guidelines
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Documentation Guidelines 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 Documentation Guidelines 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 Documentation Guidelines 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.

Documentation Guidelines

Capture durable meaning that code alone does not explain: business intent, ownership, invariants, permissions, contracts, and operational decisions. Let source and tests own implementation details and executable evidence.

Working agreement

Follow the user's request and applicable repository instructions over these defaults. Use existing authorization; ask only about missing decisions that materially affect scope, cost, safety, or the result. Continue independent authorized work while awaiting an answer.

Run in the main conversation by default. Delegation can increase usage: obtain explicit approval for the proposed agent count and scope before using subagents. Reuse that approval within its bounds; ask again before expanding the approved count or scope.

Find the owner and evidence

Read the relevant documentation index and owner when present, then verify affected facts against source, tests, schemas, configuration, and runtime evidence. Follow links needed to understand the changed contract; stop when further reading no longer affects the result. Missing or stale documentation is a reason to inspect source, not a prerequisite that blocks work.

For the scope at hand, identify applicable actors, triggers, rules, state transitions, inputs/outputs, side effects, failure paths, ownership, and compatibility requirements. Omit irrelevant categories; record unresolved material facts without inventing them.

Change docs when durable meaning changes

ChangeDocumentation action
Internal refactor, formatting, or fix restoring documented behaviorUpdate only affected paths or evidence anchors, if any
User behavior, business rule, or workflowUpdate its existing owner
API, schema, permissions, events, or compatibilityUpdate the contract and affected consumer mappings
Setup, migration, deployment, backup, or recoveryUpdate the owning runbook
Entity renamed, moved, or removedRepair discovery routes and stale references
Duplicate or contradictory docsPreserve valid facts in one owner, repair links, then remove stale copies within scope

Avoid docs changes that merely record task activity. Keep transient plans, command logs, and CI output in the task, PR, or an existing evidence surface unless they represent a durable operating requirement.

Write for discovery and maintenance

  • Give each durable fact a clear owner. Consumers link to it and document only their own mapping or constraints.
  • Follow the repository's layout. Add routers, registries, or metadata only when a real discovery or tooling need justifies their upkeep.
  • Use concrete rules, stable searchable headings, examples, and a few source/test anchors. Prefer symbols and paths over brittle line numbers.
  • Separate facts, recommendations, and unknowns. Remove generic tutorials, speculative requirements, copied implementation, and status metadata that will rot.
  • Preserve historical records when they still serve an audit, migration, or operational purpose. Use Git history for superseded tracked content when sufficient.

Read templates.md for the document type, architecture.md for multi-owner structure, or audit-cleanup.md for consolidation. These are selectable references, not required additions to every repository.

Verify and report

Trace discovery from the existing entrypoint to the updated owner. Check links, identifiers, commands, evidence anchors, and any affected consumer contracts. Search for contradictory copies and old names. Run focused doc or generation validators plus applicable required gates; application tests are warranted only if the change affects executable behavior or their contract.

Report the durable facts changed, important removals or consolidations, verification, and remaining gaps. Do not add a full-suite permission question when no concrete verification gap remains.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Documentation Guidelines AI skill do?

Create, audit, or consolidate durable project documentation, including feature rules, contracts, workflows, and runbooks. Use when documentation is the main deliverable; routine code changes can update their owning docs directly.

Why use Documentation Guidelines on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thienanblog/awesome-ai-agent-skills/tree/main/plugins/project-development-skills/skills/documentation-guidelines. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Documentation Guidelines?

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 Documentation Guidelines?

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

Is the Documentation Guidelines AI skill free?

Yes. It is published on GitHub by thienanblog under the Apache-2.0 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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