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Agent skills
hacktoberfest

Topic: hacktoberfest

418 skills in this topic.

wren-http-api Interact with Wren Engine MCP server via plain HTTP JSON-RPC requests — no MCP client SDK required. Covers session initialization, tool discovery, and calling all 20+ Wren tools (query, deploy, metadata, health check) using standard HTTP POST with JSON-RPC 2.0 payloads. Use when the client cannot or prefers not to use the MCP protocol directly (e.g. OpenClaw, custom HTTP clients, shell scripts, or any environment without an MCP SDK).
Canner/wren-engine 639
wren-usage Wren Engine — semantic SQL engine for AI agents. Query 22+ data sources (PostgreSQL, BigQuery, Snowflake, MySQL, ClickHouse, etc.) through a modeling layer (MDL). This skill is the main entry point: it guides setup, delegates to focused sub-skills for SQL authoring, MDL generation, project management, and MCP server operations. Use when: write SQL, query data, generate or update MDL, change database connection, manage YAML projects, set up or operate MCP server, or get started with Wren Engine for the first time.
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wren-usage Wren Engine CLI workflow guide for AI agents. Answer data questions end-to-end using the wren CLI: gather schema context, recall past queries, write SQL through the MDL semantic layer, execute, and learn from confirmed results. Use when: user asks a data question, requests a report or analysis, asks about metrics, revenue, customers, orders, trends, or any business data; user says 'how many', 'show me', 'what is the', 'top N', 'compare', 'trend', 'growth', 'breakdown'; user wants to explore, analyze, filter, aggregate, or summarize data from a database; agent needs to query data, connect a data source, handle errors, or manage MDL changes via the wren CLI.
Canner/wren-engine 639
wren-mcp-setup Set up Wren Engine MCP server via Docker and register it with an AI agent. Covers pulling the Docker image, running the container with docker run, mounting a workspace, configuring connection info via the Web UI (with Docker host hint), registering the MCP server in Claude Code (or other MCP clients) using streamable-http transport, and starting a new session to interact with Wren MCP. Trigger when a user wants to run Wren MCP in Docker, configure Claude Code MCP, or connect an AI client to a Dockerized Wren Engine.
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wren-connection-info Reference guide for Wren Engine connection info — explains required fields for all 18 supported data sources (PostgreSQL, MySQL, BigQuery, Snowflake, ClickHouse, Trino, DuckDB, Databricks, Spark, Athena, Redshift, Oracle, SQL Server, Apache Doris, S3, GCS, MinIO, local files). Covers sensitive field handling, Docker host hints, and BigQuery credential encoding. Use when the user asks how to configure a data source connection or what fields to fill in.
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wren-project Save, load, and build Wren MDL manifests as YAML project directories for version control. Use when a user wants to persist an MDL as human-readable YAML files, load a YAML project back into MDL JSON, or compile a YAML project to a deployable mdl.json file.
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wren-sql Write and correct SQL queries targeting Wren Engine — covers MDL query rules, filter strategies, data types (ARRAY, STRUCT, JSON/VARIANT), date/time functions, Calculated Fields, BigQuery dialect quirks, and error diagnosis. Use when generating or debugging SQL for any Wren Engine data source.
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developing-with-prism Guide for developing with Prism PHP package - a Laravel package for integrating LLMs. Activate or use when working with Prism features including text generation, structured output, embeddings, image generation, audio processing, streaming, tools/function calling, or any LLM provider integration (OpenAI, Anthropic, Gemini, Mistral, Groq, XAI, DeepSeek, OpenRouter, Ollama, VoyageAI, ElevenLabs). Activate for any Prism-related development tasks.
prism-php/prism 2,343
csv-data-analysis This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations. Trigger keywords include "analyze CSV", "analyze Excel", "data analysis", "CSV analysis", "Excel analysis", "data statistics", "generate charts", "data visualization", "分析CSV", "分析Excel", "数据分析", "CSV分析", "Excel分析", "数据统计", "生成图表", "数据可视化".
eosphoros-ai/DB-GPT 18,484
walmart-sales-analyzer Analyze Walmart sales data to explore trends between store sales and unemployment rates. Generate insightful visualizations and a beautiful HTML report with deep analysis. Suitable for quick insights into the relationship between sales data and macroeconomic factors.
eosphoros-ai/DB-GPT 18,484
financial-report-analyzer 专门用于上市公司财报（如年度报告、季度报告）的深度分析。该技能能够自动提取关键财务指标，计算核心财务比率，生成可视化图表，并结合行业背景生成专业的财务分析报告。
eosphoros-ai/DB-GPT 18,484
skill-creator Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
eosphoros-ai/DB-GPT 18,484
agent-browser Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
eosphoros-ai/DB-GPT 18,484
codebase-navigator Navigate, search, and understand the Resume Matcher codebase using ripgrep, ack, or grep. Find functions, classes, components, API endpoints, trace data flows, and understand architecture. Use FIRST when exploring code, finding files, or understanding project structure.
srbhr/Resume-Matcher 26,484
fastapi Build Python APIs with FastAPI, Pydantic v2, and SQLAlchemy 2.0 async. Covers project structure, JWT auth, validation, and database integration with uv package manager. Prevents 7 documented errors. Use when: creating Python APIs, implementing JWT auth, or troubleshooting 422 validation, CORS, async blocking, form data, background tasks, or OpenAPI schema errors.
srbhr/Resume-Matcher 26,484
writing-plans Use when you have a spec or requirements for a multi-step task, before touching code
srbhr/Resume-Matcher 26,484
navigator Codebase orientation. Use FIRST when exploring code, finding files, or understanding project structure. For advanced search, see the codebase-navigator skill.
srbhr/Resume-Matcher 26,484
navigator Quick codebase orientation for Resume Matcher. Points to key directories, architecture docs, and available skills. Use as a starting point before diving into code. For advanced search, use the codebase-navigator skill.
srbhr/Resume-Matcher 26,484
receiving-code-review Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
srbhr/Resume-Matcher 26,484
nextjs-performance Next.js critical performance fixes. Prevents async waterfalls, reduces bundle size, secures Server Actions, and ensures correct production builds. Use when writing React components, data fetching, Server Actions, or optimizing bundle size.
srbhr/Resume-Matcher 26,484
tailwind-patterns Production-ready Tailwind CSS patterns for responsive layouts, cards, navigation, forms, buttons, and typography. Includes spacing scale, breakpoints, mobile-first patterns, dark mode, and Swiss International Style overrides for Resume Matcher.
srbhr/Resume-Matcher 26,484
code-review Review code for correctness, security, performance, and Resume Matcher conventions. Use when receiving code review feedback or before submitting PRs. Requires technical rigor, not performative agreement.
srbhr/Resume-Matcher 26,484
backend-dev Backend development skill for Resume Matcher. Handles FastAPI endpoints, Pydantic schemas, TinyDB operations, LiteLLM integration, and Python service logic. Use when creating or modifying backend code.
srbhr/Resume-Matcher 26,484
react-patterns React and Next.js performance optimization guidelines from Vercel Engineering, tuned for local/offline or Docker-deployed apps. Eliminates async waterfalls, reduces bundle size, optimizes server and client performance.
srbhr/Resume-Matcher 26,484