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

qmd-knowledge skillA

qmd-knowledge is agent-read markdown (skill) from jellydn/my-ai-tools: Manage project knowledge with qmd — captures learnings, decisions, and conventions.

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

# QMD Knowledge

## What I do

- Record and retrieve project learnings and insights
- Capture issue-specific notes and resolutions
- Build a growing, AI-searchable knowledge base
- Provide context about project architecture and decisions

## When to use me

Use this skill when you need to:

- **Record learnings**: Capture new insights, patterns, or best practices discovered during development
- **Track issues**: Add notes to ongoing or resolved issues
- **Query knowledge**: Search for previous decisions, learnings, or solutions
- **Maintain context**: Build institutional memory for the project

## How it works

This skill provides a unified knowledge management system. You install the skill once, and it manages knowledge across all your projects using qmd collections:

```
# The qmd-knowledge skill (installed to your AI tool's skills directory)
# Location varies by tool: $HOME/.config/opencode/skills/, $HOME/.claude/skills/, or $HOME/.config/amp/skills/
├── SKILL.md              # This file - the skill definition
├── scripts/              # Executable scripts
│   └── record.sh         # Record learnings/issues/notes
└── references/           # Example structure and READMEs
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jellydn/my-ai-tools/qmd-knowledge@git:20260814.d1987f5
Exact content
mdr add jellydn/my-ai-tools/qmd-knowledge@sha256:742d64089dc36a0f

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_kdpwiek6tkcl7gex.svg)](https://markdownregistry.com/a/art_kdpwiek6tkcl7gex)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260814.d1987f5 latest2026-08-14 d1987f5 8,675 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 (8675 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_kdpwiek6tkcl7gex
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/qmd-knowledge
GET https://markdownregistry.com/api/v1/blob/742d64089dc36a0f9fd38186e65003e5f4a8f05aed6750cf59a341194e9a8ea5

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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