Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Build an end-to-end Cloudflare HTTP log analytics pipeline in Snowflake with a Cortex Agent. Ingests Logpush data from R2 into a parsed view, semantic view, and queryable agent. Use when: cloudflare logs, R2 logpush, http log analytics, web traffic agent, cloudflare to snowflake. Triggers: cloudflare, logpush, R2, http logs, web analytics agent.
Initialize a Harness Engineering framework in the current project. Use when user says 'harness', 'init harness', 'initialize framework', 'setup harness engineering', '/harness', or wants to set up a Plan-Build-Verify development workflow with specialized agents (planner, generator, evaluator). Creates CLAUDE.md, agent definitions, command templates, hooks, and documentation structure for autonomous AI-driven development.
Create custom agents (.agent.md) for GitHub Copilot in VS Code. Provides templates, guidelines, and a structured process for building agent definitions that describe behavior, personality, responsibilities, and problem-solving approaches. Use when creating, reviewing, or updating .agent.md files.
Creates custom instruction files (.instructions.md) for GitHub Copilot in VS Code. Covers repository-level instructions (copilot-instructions.md) and granular file-based instructions with applyTo glob patterns. Provides templates and decision framework for instruction vs. skill placement. Use when creating, reviewing, or updating .instructions.md files.
Create custom prompt files (.prompt.md) for GitHub Copilot in VS Code. Provides templates, guidelines, and a structured process for building prompt files that trigger specific workflows routed to the right custom agent and AI model. Use when creating, reviewing, or updating .prompt.md files.
Create new skills (SKILL.md) for GitHub Copilot. Provides naming conventions (gerund form), description guidelines, body structure, progressive disclosure patterns, templates, and validation checklists. Use when creating, reviewing, or updating SKILL.md files, or when discussing skill design and organization.
LLM prompt engineering patterns: structure, optimization, security, templates, evaluation, and anti-patterns. Use when designing, writing, optimizing, or reviewing prompts for LLM applications (system prompts, user prompts, RAG templates, agent instructions, chatbot personas). NOT for Copilot customization — use tsh-creating-prompts for that.
世界引擎初始化。引导用户设计时间格式（calendar）、设计或调整主体模式（subject schema）、创建 world 纪元锚点与初始角色、写入开局状态，并教会用户后续如何用自然语言驱动世界引擎。
Guide users and agents through Neuro Book harness, TSX profiles, ProfileTurnPlan, skills, user-assets overlays, settings forms, profile home resources, profile compile checks, templates, system restore, and safe profile editing.