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Agent skills
claude-agent-sdk

Topic: claude-agent-sdk

75 skills in this topic.

github-workflow-automation Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
ruvnet/agentic-flow 607
github-multi-repo Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnet/agentic-flow 607
performance-analysis Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
ruvnet/agentic-flow 607
Hooks Automation Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
ruvnet/agentic-flow 607
V3 Security Overhaul Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
ruvnet/agentic-flow 607
Verification & Quality Assurance Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
ruvnet/agentic-flow 607
stream-chain Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
ruvnet/agentic-flow 607
V3 Core Implementation Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
ruvnet/agentic-flow 607
V3 Deep Integration Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
ruvnet/agentic-flow 607
sparc-methodology SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
ruvnet/agentic-flow 607
V3 Memory Unification Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).
ruvnet/agentic-flow 607
metabot MetaBot HTTP API for agent collaboration: talk to other bots, schedule tasks, manage bots and peers. Use when the user wants to delegate work to another bot, schedule tasks, create/remove bots, or check peer status.
xvirobotics/metabot 596
voice Convert text to speech audio using mb voice CLI. Use when the user asks you to speak, say something aloud, generate audio, or produce a voice recording.
xvirobotics/metabot 596
skill-hub Discover, search, and install shared skills from the Skill Hub registry. Use when the user wants to find available skills, share a skill with other bots, or install a skill from the hub.
xvirobotics/metabot 596
metaskill The meta-skill: create AI agent teams, individual agents, or custom skills for any project. Use when the user wants to generate a complete .claude/ agent team, create a single agent, or create a single skill.
xvirobotics/metabot 596
metamemory Read and write shared memory documents. Use this when you need to save knowledge, notes, research findings, or project context for future reference across sessions. Also use it to look up previously stored information.
xvirobotics/metabot 596
frontend-design Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
xvirobotics/metabot 596
doubao-tts Generate high-quality speech audio using Doubao (豆包/Volcengine) TTS API. Use this skill when the user asks to generate audio, podcasts, voiceovers, or text-to-speech output.
xvirobotics/metabot 596
manga-workflow 将小说转换为短视频的端到端工作流编排器。当用户提到做视频、创建项目、继续项目、查看进度时必须使用此 skill。触发场景包括但不限于："帮我把小说做成视频"、"开个新项目"、"继续"、"下一步"、"看看项目进度"、"从头开始"、"拆集"、"自动跑完流程"等。即使用户只说了简短的"继续"或"下一步"，只要当前上下文涉及视频项目，就应该触发。不要用于单个资产生成（如只重画某张分镜图或只重新生成某个角色设计图——那些有专门的 skill）。
ArcReel/ArcReel 1,657
agent-browser Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
ArcReel/ArcReel 1,657
generate-script 使用 Gemini API 生成 JSON 剧本。由 create-episode-script subagent 调用。读取 step1 中间文件和 project.json，调用 Gemini 生成符合 Pydantic 模型的 JSON 剧本。
ArcReel/ArcReel 1,657
generate-grid 生成宫格分镜图。当用户说"生成宫格"、"宫格生图"、"宫格模式生成分镜"时使用。自动按 segment_break 分组，选择最优宫格大小，生成首尾帧链式宫格图并切割分配。
ArcReel/ArcReel 1,657
generate-clues 生成线索设计参考图（道具/环境）。当用户说"生成线索图"、"画道具设计"、想为重要物品或场景创建参考图、或有 major 线索缺少 clue_sheet 时使用。确保跨场景视觉一致。
ArcReel/ArcReel 1,657
generate-characters 生成角色设计参考图（三视图）。当用户说"生成角色图"、"画角色设计"、想为新角色创建参考图、或有角色缺少 character_sheet 时使用。确保视频中角色形象一致。
ArcReel/ArcReel 1,657