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Found 196 Skills
Comprehensive guide for NumPy - the fundamental package for scientific computing in Python. Use for array operations, linear algebra, random number generation, Fourier transforms, mathematical functions, and high-performance numerical computing. Foundation for SciPy, pandas, scikit-learn, and all scientific Python.
Instructions for using the Linear CLI to manage issues, projects, teams, and more in Linear
Coordinates 3 specialized audit workers (query efficiency, transaction correctness, runtime performance). Researches DB/ORM/async best practices, delegates parallel audits, aggregates results into single Linear task in Epic 0.
Automate Linear tasks via Rube MCP (Composio): issues, projects, cycles, teams, labels. Always search tools first for current schemas.
Format a final summary message for Linear. Your output is automatically streamed to the Linear agent session — just format it well, do not post it yourself.
Expert guidance for unix-goto shell navigation tool development, including architecture, 9-step feature workflow, testing (100% coverage), performance optimization (<100ms targets), and Linear issue integration
Manage Linear notifications. Use for viewing and clearing notifications.
View Linear teams and users. Use when listing teams or viewing user profiles.
View Linear initiatives. Use for high-level tracking across projects.
Smooth spline path animations for Remotion compositions — linear and Catmull-Rom splines with SVG path generation
Researches real-world problems, competitor solutions, and customer complaints before test planning. Posts findings as Linear comment for ln-522 and ln-523.
Linear ticket lifecycle for any project. Use when starting work on a Linear issue, ending work on an issue, or asking what to work on next. Triggers: start KAT-N, pick up, implement, finish, complete, done with, close, what's next, next ticket, next issue. Handles blocker validation, status transitions, context loading, branch creation, evidence gating, and chain promotion.