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Found 292 Skills
Chinese translation of Google's Agentic Design Patterns book - 21 core AI agent patterns with examples
Build and deploy autonomous AI agents with CowAgent - planning, memory, knowledge base, skills, and multi-channel support
Guidance on how to use Claude Code effectively — covering context management, verification strategies, the explore-plan-implement workflow, prompting techniques, session management, parallel sessions, and common failure patterns. Use this skill whenever the user asks how to get the most out of Claude Code, how to write better prompts, how to manage context, when to use plan mode, how to automate tasks, or when they describe a frustrating pattern like Claude repeating mistakes or losing track of instructions.
Guide for creating, structuring, and improving Claude skills (SKILL.md). Use when building a new skill, reviewing an existing skill, writing SKILL.md frontmatter, defining trigger conditions, troubleshooting skill problems (not triggering, over-triggering, instructions not followed), or planning skill distribution. When working on any skill in this repository: also load the cc-best-practices skill, and always update both CLAUDE.md and README.md skill tables after any skill change. Do NOT use for general Claude Code configuration or hook setup.
Generates an AsciiDoc compatibility matrix for Apache Camel Spring Boot, Spring Boot, and Apache CXF versions by running the camel-springboot-matrix.sh script. Use when the user asks to generate or update the Camel compatibility matrix, check Camel Spring Boot version compatibility, or run the camel-springboot-matrix script. Supports optional version range arguments (min max).
Look up conventions, patterns, and concrete implementations from your own GitHub repositories checked out locally under ~/projects/referenzen/. Use this skill whenever there is uncertainty about how something is done in your codebase family — e.g. Helm chart structure, Kubernetes manifests, framework configuration patterns, Docker Compose conventions, CI/CD pipeline setup, or any other recurring architectural decision. Invoke it proactively before guessing at a convention; always cite the source project and path when a pattern is adopted. Also use when the user asks to check out, update, or search reference repositories.
Write follow-up emails that re-engage without being annoying. Uses proven psychology for follow-up sequences. 42% of replies come from follow-ups.
Validate quality before completing tasks. Performs verification checks, testing, and quality assurance before marking work complete.
Orchestrate multi-agent AI workflows with ultrawork, discipline agents, team mode, and hash-anchored editing for autonomous code development
Master context engineering principles for building production-grade AI agent systems with effective context management, multi-agent architectures, and memory systems.
Agent-agnostic visual feedback tool for AI coding agents to identify and annotate UI elements with structured selectors
Extract, validate, and categorize invoice data against purchase orders and GL codes