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

doc-search skillA

doc-search is agent-read markdown (skill) from jellydn/my-ai-tools: Search project documentation — ADRs, wiki entries, conventions via ripgrep, qmd, fff, and ctx.

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 Search

## When to Use

Use this skill when:
- Starting work on a feature that may have existing decisions or ADRs
- Need to understand project conventions or patterns
- Looking for past design discussions or trade-off analyses
- Want to find relevant wiki entries or knowledge base articles
- Need to understand how existing documentation is structured
- Planning to write documentation and want to match existing style

## What It Does

Helps you find and navigate existing project documentation using available tools (grep, qmd, fff, ctx). Documentation is often scattered across multiple locations — this skill provides a systematic approach to find what you need.

## Where Documentation Lives

This project stores documentation in several locations:

| Location | Content | Best For |
|----------|---------|----------|
| `docs/` | User-facing guides (quick-start, tutorials) | Getting started, feature guides |
| `ADRs` via `configs/adr/*` | Architecture Decision Records | Why decisions were made |
| `wiki/` | LLM wiki — entities, concepts, log | Knowledge base, cross-references |
| `MEMORY.md` | Durable project learnings and gotchas | Known issues, conventions |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jellydn/my-ai-tools/doc-search@git:20260814.d1987f5
Exact content
mdr add jellydn/my-ai-tools/doc-search@sha256:db2b25512955eeb7

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_suscjal5u2mrxtxe.svg)](https://markdownregistry.com/a/art_suscjal5u2mrxtxe)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260814.d1987f5 latest2026-08-14 d1987f5 5,483 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 (5483 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_suscjal5u2mrxtxe
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/doc-search
GET https://markdownregistry.com/api/v1/blob/db2b25512955eeb78e1a914667da72cda1ca9cd931036a3866956d0d3a6bd3eb

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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