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xlsx
A spreadsheet tool that creates and edits Excel files with formulas, formatting, and data analysis. It enforces financial modeling standards, prevents formula errors, and integrates LibreOffice for formula recalculation. Focuses on maintaining dynamic spreadsheets rather than hardcoded values.
Managing GitHub Projects
This skill provides GitHub CLI commands for managing GitHub Projects V2 items and custom fields. It handles adding issues/PRs to projects, updating status/value/effort fields, querying project data, and performing bulk operations with clear examples and configuration guidance.
graphql
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.
develop-ai-functions-example
Develop examples for AI SDK functions. Use when creating, running, or modifying examples under examples/ai-functions/src to validate provider support, demonstrate features, or create test fixtures.
github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
ai-sdk-5
Vercel AI SDK 5 patterns. Trigger: When building AI features with AI SDK v5 (chat, streaming, tools/function calling, UIMessage parts), including migration from v4.
pydantic-ai
Imported from https://github.com/coleam00/context-engineering-intro.
config
Imported from https://github.com/redpanda-data/connect.
prompt-engineer
Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.
crewai-multi-agent
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
mac
Imported from https://github.com/amantus-ai/vibetunnel.
spending-analysis
Analyze Pollinations revenue, pack purchases, and tier spending patterns. Query Polar for payment history and Tinybird for usage data.
antv-l7
Comprehensive guide for AntV L7 geospatial visualization library. Use when users need to: (1) Create interactive maps with WebGL rendering (2) Visualize geographic data (points, lines, polygons, heatmaps) (3) Build location-based data dashboards (4) Add map layers, interactions, or animations (5) Process and display GeoJSON, CSV, or other spatial data (6) Integrate maps with AMap (GaodeMap), Mapbox, Maplibre, or standalone L7 Map (7) Optimize performance for large-scale geographic datasets
azure-ai-search-python
Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases, or working with vector/hybrid search. Covers SearchClient, SearchIndexClient, SearchIndexerClient, and KnowledgeBaseRetrievalClient.
cursor-skill-creator
Creates Cursor-specific AI agent skills with SKILL.md format. Use when creating skills for Cursor editor specifically, following Cursor's patterns and directories (.cursor/skills/). Triggers on "cursor skill", "create cursor skill".
wrangler
Cloudflare Workers CLI for deploying, developing, and managing Workers, KV, R2, D1, Vectorize, Hyperdrive, Workers AI, Containers, Queues, Workflows, Pipelines, and Secrets Store. Load before running wrangler commands to ensure correct syntax and best practices.
cfn-cerebras-code-generator
Generates code quickly using Z.ai's glm-4.6 model for test files, boilerplate, and repetitive patterns. Focuses on speed over nuance with context tracking and OpenAI-compatible API. Best for bulk file creation when rapid iteration is needed.
check-codex
Fetches GitHub Codex AI feedback for the current pull request, categorizes issues by priority (P1-P3), and presents actionable summaries. Integrates with session startup and PR review workflows to catch AI suggestions before merging.
db-wal-recovery
Guidance for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible. This skill should be used when tasks involve database recovery, WAL file analysis, decrypting database files, or recovering missing/corrupted SQLite data. Helps avoid common pitfalls like fabricating data based on patterns instead of actual recovery.
harbor
Harbor framework for agent evaluation. Use when: (1) Running harbor commands (harbor run, harbor tasks check), (2) Creating/validating SkillsBench tasks, (3) Understanding task format or debugging failures.
light-curve-preprocessing
Preprocessing and cleaning techniques for astronomical light curves. Use when preparing light curve data for period analysis, including outlier removal, trend removal, flattening, and handling data quality flags. Works with lightkurve and general time series data.
data-reconciliation
Imported from https://github.com/benchflow-ai/SkillsBench.
feature-engineer
Transforms raw data into production-ready ML features through automated quality assessment, feature creation, selection, and encoding, ensuring robust models with integrated validation and documentation.
python-backend
A specialized Python backend developer skill for building APIs with FastAPI, Django, or Flask, handling database integration, data processing, machine learning model serving, and background tasks with comprehensive tooling and best practices.