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Project Docs

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waynesutton
project-docs

Brings task.md, changelog.md, and files.md back in sync with what the code says shipped. Reads git history and the working tree, never memory, and refuses to log features it cannot see in source. Use when a feature or fix lands, when the user says "update the docs", "sync changelog", "update files.md", "@update", or when task.md and the code disagree.

Overview

Publisherwaynesutton
Repositorybuilder-skills
Skill nameproject-docs
Stars
405
Forks
33
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Project 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/waynesutton/builder-skills/tree/main/skills/project-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/waynesutton/builder-skills.git /tmp/builder-skills
mkdir -p .claude/skills
cp -r /tmp/builder-skills/skills/project-docs .claude/skills/project-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project 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 Project 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 Project 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.

Project docs

Three files describe a project to the next person who opens it. Keep them true.

FileAnswers
task.mdWhat is planned, in flight, and done
changelog.mdWhat changed for users, by version and date
files.mdWhat each file is for

Truth comes from the repo, not from the conversation. If the diff does not show it, it did not ship.

Run the sync

  1. Find the root. git rev-parse --show-toplevel, or the workspace root without git.
  2. Collect evidence. git log --date=short -n 20, git status --short, git diff --stat, and for the current change git diff HEAD --stat or the staged diff. See references/evidence-rules.md for what counts.
  3. Read all three files as they are. Note the last logged date and the last completed task.
  4. Update each file. Rules below.
  5. Check idempotency. If nothing new landed since the last entry, change nothing and say so.
  6. Scan for secrets and personal data before saving. See the redaction section.
  7. Report in a few lines. Show the new changelog entry or say the docs were already current.

task.md

Sections: ## To Do, ## In Progress, ## Completed.

  • Move an item to Completed only if its verification step ran. If the PRD lists a check that has not run, leave it In Progress and say which check is pending.
  • Completed entries: - [x] YYYY-MM-DD HH:mm UTC <what>. <PRD path if any>. <files touched>. Verified: <command or outcome>.
  • Never delete history. Old completed items stay.
  • If task.md does not exist, create it with the three headings and the current change under Completed or In Progress based on the evidence.

changelog.md

Keep a Changelog format. ## [Unreleased] at the top, then ## [x.y.z] - YYYY-MM-DD blocks, each with ### Added, ### Changed, ### Fixed, ### Removed as needed.

  • Dates come from git log --date=short. The release date is the date of the commit that bumped the version, or today's UTC date if it has not been committed yet. Never a placeholder, never a future month.
  • Write for the user of the project, not the author. "Uploads over 5 MB now show a progress bar" beats "refactored upload hook".
  • One line per change. Group related commits.
  • Do not log dependency bumps, formatting, or generated files unless they change behavior.
  • If a version bump exists in package.json with no matching heading, add the heading.

files.md

One line per file that matters. Grouped by folder.

## convex/
- `schema.ts` tables and indexes
- `stats.ts` heartbeat mutation with 10s dedup window, page view inserts

## src/hooks/
- `usePageTracking.ts` sends heartbeats, debounced 5s, path change aware
  • Add every new source file from the diff.
  • Fix descriptions that the diff made wrong.
  • Skip node_modules, _generated, lockfiles, build output, and assets unless they are hand written.
  • Keep each description under one line. What it is for, not how it works.

Convex projects

When the repo has a convex/ folder, the changelog and files.md can name Convex features, but only ones the source proves. references/convex-detection.md lists what file shows what.

Short version:

  • A component counts only if convex/convex.config.ts registers it. A dependency in package.json is not proof.
  • Crons count only if convex/crons.ts exists and registers a job.
  • HTTP actions count only if convex/http.ts has a route.
  • Auth counts only if convex/auth.config.ts or an auth component is present.
  • AI model names count only if code or config names them. Do not guess which model built the app.

Prefer none over an invented value.

Redaction

changelog.md and files.md are often public. Treat them that way.

  • Never open .env, .env.local, or any secret store to fill in a doc. Env var names are fine to mention. Values never.
  • Never include API keys, tokens, email addresses, phone numbers, street addresses, private hostnames, or application data records.
  • Scan the whole file before saving, not just the new lines. Replace any address shaped text with [redacted] and say so in one line.
  • Log behavior, not identifiers. "Signed webhook verification for inbound mail" is fine. The inbox address is not.

Boundaries

  • Edit only task.md, changelog.md, files.md, and PRDs the user points at. Nothing else unless asked.
  • Never commit, push, deploy, publish, or tag. Print the suggested commit message instead.
  • Never rewrite older entries for tone. Fix facts when the evidence contradicts them and flag the correction.
  • Do not call production APIs or query live data to make the docs richer.

Report format

Synced project docs.

changelog.md  added 2.1.0 (2026-09-15): 3 added, 1 fixed
files.md      added 2 files, updated 1 description
task.md       moved 1 item to Completed, 1 still In Progress (verification pending: e2e)

Suggested commit: docs: sync changelog, files, and tasks for 2.1.0

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 Project Docs AI skill do?

Brings task.md, changelog.md, and files.md back in sync with what the code says shipped. Reads git history and the working tree, never memory, and refuses to log features it cannot see in source. Use when a feature or fix lands, when the user says "update the docs", "sync changelog", "update files.md", "@update", or when task.md and the code disagree.

Why use Project Docs on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/waynesutton/builder-skills/tree/main/skills/project-docs. 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 Project 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 Project Docs?

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

Is the Project Docs AI skill free?

Yes. It is published on GitHub by waynesutton 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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