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Found 9,547 Skills
Generate images with gpt-image-2 through an OpenAI-compatible Image API using the current OPENAI_API_KEY, OPENAI_BASE_URL, or CUSTOM_IMAGE_URL environment variables. Use when the user asks to call gpt-image-2 via API/CLI, /v1/images/generations, the prior /api/image/generate endpoint flow, or wants the faster API route instead of Codex CLI image_generation/session extraction.
Companion CLIs for Runpod workflows — HuggingFace, GitHub, Docker, and AWS.
Delegate a coding task to the Command Code CLI (`cmd`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Command Code — phrasings like "have Command Code do X", "delegate this to commandcode", "run it through cmd", or "use Command Code to implement/fix/refactor" — or to run a queue of coding tasks through Command Code while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.
Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.
Guide to spences10's Claude Code ecosystem. Use when user asks which tool to use, how tools relate, or needs help choosing between MCP servers, skills, or CLIs.
This skill generates text-based UI wireframes using .kui file syntax. Use when creating wireframes, mockups, or UI layout diagrams. The skill converts .kui files to SVG/PNG images via the katsuragi CLI tool.
Patterns for efficient ML data pipelines using Polars, Arrow, and ClickHouse. TRIGGERS - data pipeline, polars vs pandas, arrow format, clickhouse ml, efficient loading, zero-copy, memory optimization.
CLI tools execution specification (gemini/claude/codex/qwen/opencode) with unified prompt template, mode options, and auto-invoke triggers for code analysis and implementation tasks. Supports configurable CLI endpoints for analysis, write, and review modes.
Operate Feishu/Lark via the lark CLI (IM, Drive, Docs, Sheets, Mail, Calendar, Wiki, Bitable, Tasks, and more).
Generate client-friendly monthly invoice summaries by analyzing Git commits and time sheet notes. Synthesizes technical work into business-focused bullet points suitable for client invoicing. Use when preparing monthly billing or project status reports. Triggers on "invoice summary", "monthly billing", "summarize work for client".
Use when a repo has `.xit/` or the user asks for xit: translate git-like intents to non-interactive `xit` CLI commands (`status/diff/log --cli`, add/commit/branch/merge/cherry-pick), avoid the TUI, and do not use git unless explicitly requested.
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.