executive-role
Defines the shared role, responsibilities, and operating principles for an Executive agent in the b00t hive. This skill uses Rhai scripting to provide model-specific directives.
发现 devops llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Defines the shared role, responsibilities, and operating principles for an Executive agent in the b00t hive. This skill uses Rhai scripting to provide model-specific directives.
Use when designing/modifying system architecture or evaluating technology choices. Enforces 7-section TodoWrite with 22+ items. Triggers: "design architecture", "system design", "architectural decision", "shoul...
Use when creating agents. Routes to Simple (30-55 lines), Standard (100-300 lines), or Full (500+ lines) path based on complexity. Triggers: "create agent", "automate workflow". If thinking "just create basic a...
Activate when conducting topic research with complexity assessment, thinking mode selection, and comprehensive documentation generation
Activate when creating or modifying Claude Code agents with proper architecture patterns, tool selection, and extended context integration
Master Orchestrator for autonomous multi-agent coordination. Use when tasks require multiple technology experts, complex workflows (TDD pattern addition, security audits), intelligent routing, or explicit orche...
Expert guidance for n8n workflow development in Vigil Guard v2.0.0. Use when working with the 24-node 3-branch parallel detection pipeline, arbiter decision logic, unified_config.json management, dual-language...
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWri...
Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and fix independent problems concurrently
Decision guide for choosing the right specialized agent for each task type
Build UI components and pages following the runi design system. Use this skill when creating React components for runi—the HTTP client that catches spec drift, verifies AI-generated code, and reveals cross-API...
Entry point skill - introduces available Life OS skills, provides command reference, and guides users through the system
AI 에이전트 협업 개발의 핵심 원칙. 분해정복, 컨텍스트 관리, 추상화 수준 선택, 자동화 철학, 검증 회고를 정의. 모든 AI 에이전트 사용 시 최적의 협업 패턴 적용.
Natural language understanding, intent classification, context management, reference resolution, and conversation history analysis for agentful
This skill should be used when the user wants to execute a looplia workflow, run workflow steps, or process a workflow.md file. Use when someone says "run the looplia workflow", "execute this looplia pipeline",...
Looplia writer skill for assembling final writing kits. Combines content analysis and ideas into structured output with suggested outlines. Creates comprehensive WritingKit JSON with all components.
Analyze content for writing opportunities. Use when processing articles, videos, or podcasts to extract insights and generate writing materials.
Inline workflow executor for proxy providers (ZenMux, custom API providers). Executes workflow steps directly in the main context WITHOUT spawning Task subagents. Use this skill when: - Running looplia workflo...
This skill should be used when matching user requirements to available skills from a compiled registry. It receives a skill registry (from registry-loader) and user requirements, then scores each skill based on...
Looplia writer skill for generating content ideas with personalization. Reads user profile for context. Generates hooks, angles, and thought-provoking questions. Use after media-reviewer to transform analysis i...
Guidance for customizing Ralph workflows, formulas, learning capture, and troubleshooting. Use for questions about Ralph loop, formulas, harvesting learnings, or running multiple Ralphs.
Turn "AI draft -> author edits" diffs into structured deviation items, an author-intent prompt, and a concrete propagation plan.
Simulate multiple reader personas to score a chapter (爽点/困惑/信息负荷) and propose actionable alternatives.
Aggregate a writing session into a readable log + a reusable author-intent prompt.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。