Python SQL toolkit and ORM with modern query builder, relationship mapping, and async support.
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 bobmatnyc/claude-mpm-skills --skill sqlalchemy-ormCompatible with
Supported agents
Supports SQLAlchemy 2.0 modern API with type hints, select() queries, and Mapped[T] declarative models; includes async support via AsyncSession and AsyncSessionLocal
Covers one-to-many and many-to-many relationships with eager loading patterns ( selectinload , joinedload ) to prevent N+1 query problems
Integrates with FastAPI via dependency injection, Alembic for schema migrations, and conn
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsqlalchemy-ormExecute the skills CLI command in your project's root directory to begin installation:
epx add bobmatnyc/claude-mpm-skills --skill sqlalchemy-ormFetches sqlalchemy-orm from bobmatnyc/claude-mpm-skills 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/sqlalchemy-orm
Restart Cursor to activate sqlalchemy-orm. Access via /sqlalchemy-ormin 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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sqlalchemy-orm reduced setup friction for our internal harness; good balance of opinion and flexibility.
sqlalchemy-orm reduced setup friction for our internal harness; good balance of opinion and flexibility.
sqlalchemy-orm has been reliable in day-to-day use. Documentation quality is above average for community skills.
sqlalchemy-orm has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: sqlalchemy-orm is focused, and the summary matches what you get after install.
sqlalchemy-orm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in sqlalchemy-orm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
sqlalchemy-orm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for sqlalchemy-orm matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend sqlalchemy-orm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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