Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.

Generate a complete, production-ready application from an OpenAPI specification

Generate a complete, production-ready application from an OpenAPI specification

Generate a complete, production-ready application from an OpenAPI specification

Generate a complete, production-ready application from an OpenAPI specification

Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.

Generate a complete, production-ready application from an OpenAPI specification

Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities

Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities

Use for OpenClaw clawtributors PR/issue triage: Discrawl discovery, live-open rechecks, deep review, topic grouping, and compact @handle/LOC/type/blast/verification summaries.

Use when looking up information from the latest Docusaurus documentation at https://docusaurus.io/docs. Triggers on tasks involving Docusaurus APIs, markdown features, configuration options, or best practices.

Use when writing or reviewing technical documentation to follow Google's documentation style guide. Triggers on tasks involving technical writing, doc review, style consistency, inclusive language, or formatting standards.

Use when the user is shaping Agently request-side behavior: model setup, settings files, prompt management, structured output, response reuse, streaming consumption, session memory, embeddings, knowledge-base indexing, retrieval, or retrieval-backed answers within one request family.

Use when the user wants to migrate an existing LangChain, LangGraph, LlamaIndex, CrewAI, or similar system into Agently, including choosing whether the source belongs to request/agent-side Agently behavior or TriggerFlow orchestration.

Use when the user needs Agently TaskDAG / Dynamic Task, model-generated or app-submitted DAG planning, TaskDAG validation, DynamicTaskResolver handlers, TaskDAGExecutor execution, or the Agently.create_dynamic_task compatibility facade. TaskDAG is the DAG foundation capability; Dynamic Task is the convenience facade over it and uses TriggerFlow as the execution substrate.

Create and manage agent graphs — directed graphs of configs connected by edges with handoff logic. Use when building multi-agent workflows where configs route to each other.

Build production React Native apps with Expo, navigation, native modules, offline sync, and cross-platform patterns. Use when developing mobile apps, implementing native integrations, or architecting React Native projects.

Administer Jira projects. Use when creating/archiving projects, managing components, versions, roles, permissions, or project configuration.