Local keyword and semantic search for indexed Markdown collections with three search modes.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add levineam/qmd-skill --skill qmdCompatible with
Supported agents
Supports three search modes: qmd search (fast BM25 keyword matching, typically instant), qmd vsearch (semantic similarity via local embeddings, slower), and qmd query (hybrid with LLM reranking, generally slowest)
Index Markdown collections once with qmd collection add , then search across multiple files or retrieve specific documents by path or ID
Includes maintenance commands ( qmd update ,
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionqmdExecute the skills CLI command in your project's root directory to begin installation:
epx add levineam/qmd-skill --skill qmdFetches qmd from levineam/qmd-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/qmd
Restart Cursor to activate qmd. Access via /qmdin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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qmd reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: qmd is focused, and the summary matches what you get after install.
qmd is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for qmd matched our evaluation — installs cleanly and behaves as described in the markdown.
qmd is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added qmd from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
qmd reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: qmd is the kind of skill you can hand to a new teammate without a long onboarding doc.
qmd is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: qmd is the kind of skill you can hand to a new teammate without a long onboarding doc.
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