Total 31,643 skills
Showing 12 of 31643 skills
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.
Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
VitePress static site generator powered by Vite and Vue. Use when building documentation sites, configuring themes, or writing Markdown with Vue components.
Implement modern responsive layouts using container queries, fluid typography, CSS Grid, and mobile-first breakpoint strategies. Use when building adaptive interfaces, implementing fluid layouts, or creating component-level responsive behavior.
Sync cookies from local Chrome to a Browserbase persistent context so the browse CLI can access authenticated sites. Use when the user wants to browse as themselves, sync cookies, or log into sites via Browserbase.
DingTalk Todo Management. Use this skill when the user mentions terms like "DingTalk Todo", "todo task", "create todo", "add todo", "view todo", "complete todo", "mark as complete", "delete todo", "todo list", "my todos", "set deadline", "assign todo", "dingtalk todo", "todo task", "task management". Supported operations include: creating todos (with description/deadline/priority/participants), getting details, querying lists (filtered by completion status), updating todos, marking as complete, deleting todos, and all other todo-related operations.
CCDB Carbon Emission Factor Search Tool. Based on Carbonstop's CCDB database, query carbon emission factor data via ccdb-mcp-server. Supports keyword-based carbon emission factor search, retrieval of structured JSON data, and multi-keyword comparison. **Use this Skill when**: (1) Users query carbon emission factors (e.g., "power emission factor", "cement carbon emission", "natural gas emission coefficient", etc.) (2) Users need to calculate carbon emissions (require querying factors first then multiplying by activity volume) (3) Users need to compare carbon emission factors of different energy sources/materials (4) Users mention "CCDB", "carbon emission factor", "emission coefficient", "carbon footprint", "LCA", "emission factor" (5) Need to query carbon emission factor data for specific countries/regions and specific years
Set up performance benchmarks and CodSpeed harness for a project. Use this skill whenever the user wants to create benchmarks, add performance tests, set up CodSpeed, configure codspeed.yml, integrate a benchmarking framework (criterion, divan, pytest-benchmark, vitest bench, go test -bench, google benchmark), or when the user says 'add benchmarks', 'set up perf tests', 'create a benchmark', 'benchmark this', or wants to measure performance of their code for the first time. Also trigger when the optimize skill needs benchmarks that don't exist yet.
Autonomously optimize code for performance using CodSpeed benchmarks, flamegraph analysis, and iterative improvement. Use this skill whenever the user wants to make code faster, reduce CPU usage, optimize memory, improve throughput, find performance bottlenecks, or asks to 'optimize', 'speed up', 'make faster', 'reduce latency', 'improve performance', or points at a CodSpeed benchmark result wanting improvements. Also trigger when the user mentions a slow function, a regression, or wants to understand where time is spent in their code.