Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
479 skills found
Produce clear, professional technical documentation, blog posts, and tutorials based on real engineering experience, prioritizing value and actionable insights.
Analyze markdown documentation files to ensure compliance with predefined AI token budgets and optimize content for efficient AI ingestion.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Architect multi-agent systems to overcome context limits, using patterns like supervisor, swarm, and hierarchical models to manage complex workflows.
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
Perform network protocol reverse engineering, including packet capture, traffic analysis, protocol dissection, and custom format documentation.
Fetches Confluence PRDs and transforms them into structured local Markdown for the spec-kit specify workflow, bridging PO handoffs into technical SDD implementation.
Accelerate Go application startup with parallel compile-time dependency injection. Optimize slow services, replace google/wire, and manage async dependencies with kessoku.
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Automated CI/CD incident response, failure analysis, and remediation for GitHub Actions pipelines. Resolves build and test failures with safety guardrails.