Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
132 skills found
Generate diverse landing page narrative angles, define target audiences, and specify required evidence for conversion-focused marketing workflows.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.
Query the Pollinations text API with web-search enabled models like Gemini and Perplexity for grounded, real-time research.
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.
Generate professional multi-platform ad campaigns from a URL. Get ad copy, audience targeting, creative specs, and budget strategies ready for media buying.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.
AI performance marketing agent for Google, Meta, LinkedIn, and TikTok ads. Automate keyword research, budget management, ROAS tracking, and cross-platform reporting via natural language.
Enriches vague prompts by performing codebase research and asking targeted questions to clarify user intent before execution.
Synchronizes and maintains CLAUDE.md and README.md documentation hierarchy across a repository to ensure consistent, just-in-time context for AI agents.