Home / jellydn / my-ai-tools · configs/amp/plugins/my-ai-tools-skills/skills/docs-update/SKILL.md · GitHub

docs-update skillA

docs-update is agent-read markdown (skill) from jellydn/my-ai-tools: Update docs when code changes — reviews commits and syncs user-facing documentation.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Documentation Bot

Automatically review code changes and update user-facing documentation to keep it synchronized with the codebase. Works across documentation platforms (Mintlify, Docusaurus, GitBook, Fumadocs, etc.) and supports both monorepo and multi-repo setups.

## Workflow

### 1. Identify Significant Code Changes

Determine which commits need documentation updates:

- Find the default branch
- Get recent commits (default: last 24 hours, or accept user-specified timeframe)
- Examine each commit's changes to understand what was modified

**Filter for significant changes:**

- New features or capabilities
- API changes (new endpoints, parameters, return values)
- Breaking changes
- New configuration options
- New CLI commands or flags
- Changes to user-facing behavior

**Skip documentation for:**

- Internal refactoring
- Test-only changes
- Minor bug fixes
- Typo corrections in code
- Performance optimizations without user impact

Be conservative: quality over quantity. When in doubt about significance, skip the update.

### 2. Analyze Documentation Context

**Locate documentation:**

- Check for documentation directory in current repo (monorepo pattern)
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jellydn/my-ai-tools/docs-update@git:20260814.d1987f5
Exact content
mdr add jellydn/my-ai-tools/docs-update@sha256:9d5ab16b11a612da

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_stayutdmnkyg62ss.svg)](https://markdownregistry.com/a/art_stayutdmnkyg62ss)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260814.d1987f5 latest2026-08-14 d1987f5 4,515 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4515 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

GitHub

jellydn/my-ai-tools · 121 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_stayutdmnkyg62ss
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/docs-update
GET https://markdownregistry.com/api/v1/blob/9d5ab16b11a612dac817c4781593a0e1fc25d654abd096aa83e7cb4ed5cd60bb

Your agent 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.

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