qmd-knowledge

Files (4)

• SKILL.md
• README.md · references/issues/
• README.md · references/learnings/
• record.sh · scripts/

SKILL.md (first lines)

# 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

# Project knowledge storage (managed by the skill)
~/.ai-knowledges/
├── <project-name>/       # Collection for your project
│   ├── learnings/
│   └── issues/
└── another-project/      # Collection for another project
    ├── learnings/
    └── issues/
```

The `qmd` MCP server provides AI-powered search across all stored knowledge, allowing your AI assistant to autonomously query and update the knowledge base.

## Available scripts

### Recording knowledge

**Important**: Before recording knowledge, ensure qmd is installed and your project collection is set up. Run a preflight check:

```bash
# Verify qmd is installed
command -v qmd || echo "Install qmd: bun install -g @tobilu/qmd"

# Verify your project collection exists (replace my-project with your actual project name)
qmd collection list | grep my-project
```

```bash
# Record a learning (use the skill's script)
$SKILL_PATH/scripts/record.sh learning "qmd MCP integration"

# Add a note to an issue
$SKILL_PATH/scripts/record.sh issue 123 "Fixed by updating dependencies"

# Record a general note
$SKILL_PATH/scripts/record.sh note "Consider using agent skills for extensibility"
```

**After recording**:

- The `record.sh` script automatically runs `qmd embed` to re-index the knowledge base
- This embedding step is **required** to make newly added content searchable for the next query
- If auto-embedding fails or you manually add/edit files, run `qmd embed` explicitly to update the index

### Querying knowledge

Use the qmd MCP server tools directly from Claude or OpenCode:

```bash
# Fast keyword search
qmd search "MCP servers" -c <project-name>

# Semantic search with AI embeddings
qmd vsearch "how to configure MCP"

# Hybrid search with reranking (best quality)
qmd query "MCP server configuration"

# Get specific document
qmd get "references/learnings/2024-01-26-qmd-integration.md"

# Search with minimum score filter
qmd search "API" --all --files --min-score 0.3 -c <project-name>
```

## Setup

**Preflight check**: Before starting, verify you have the required tools:

```bash
# Check for bun or node
command -v bun || command -v node || echo "Install bun or node.js first"

# Verify git is available (for project detection)
command -v git || echo "Install git for automatic project name detection"
```

1. **Install qmd**:

   ```bash
   bun install -g @tobilu/qmd
   ```

2. **Install the skill**:

   ```bash
   # The skill is installed to your AI tool's skills directory:
   # - OpenCode: $HOME/.config/opencode/skills/qmd-knowledge/
   # - Claude Code: $HOME/.claude/skills/qmd-knowledge/
   # - Amp: $HOME/.config/amp/skills/qmd-knowledge/

From jellydn/my-ai-tools, MIT.

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