spec-workflow-orchestrator
Orchestrate comprehensive planning phase from ideation to development-ready specifications using 4 specialized agents
Discover devops llm ai skills, compare source repositories and read the instructions for each workflow.
Orchestrate comprehensive planning phase from ideation to development-ready specifications using 4 specialized agents
Provides the single source of truth for brand guidelines, design tokens, technology choices, and voice/tone. Use this skill whenever generating UI components, styling applications, writing copy, or creating use...
Generates high-quality, predictable, and efficient .agent/skills/ directories based on user requirements. Use when the user asks to create a new skill or defining a new agent capability.
Invoke the 'opencode' CLI in headless mode for AI-powered code analysis, reviews, and second opinions. Use when you need a different AI perspective, the user mentions opencode, or requests batch code analysis.
Invoke Google's Gemini AI via CLI in headless mode for AI-powered analysis, code generation, and reasoning tasks. Use when you need a second opinion, the user mentions Gemini, needs Google AI capabilities, or r...
A tiered approach to answering research questions with clear stop rules, evidence capture, and escalation to Tavily/Playwright only when needed.
Autonomous agent for systematically upgrading applications with polished anime.js animations. Use when asked to add animations, improve UI polish, upgrade visual experience, or make an app feel more alive. Trig...
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, rou...
Reconnaissance techniques for exploring large contexts before reading them. Teaches agents to probe, filter, and map data structures without consuming context window.
Technical implementation guide for the RLM REPL environment. Covers code patterns, llm_query usage, answer signaling, and common implementation patterns.
Master skill for Recursive Language Model thinking — orchestrates long-context reasoning by treating prompts as environments, not inputs. Spawns sub-agents and manages recursive decomposition.
Use this skill when editing files in ai/ or .claude/ folders.
Use this skill any time you need to debug something or figure out why a problem is happening.
Commission and process external AI analysis to reduce blind spots. Manual invocation only.
Identify content strengths and opportunities for expansion. Suggests new topics and connections.
Research voids (cognitive gaps, unchartable territories). Daily. Outputs research notes for voids articles.
Improve the quality of draft content. Runs review and applies improvements while preserving voice.
Comprehensive single-document review combining pessimistic and optimistic analysis with improvements. Modifies content.
Spawn subagents to offload context-heavy work. Use for: deep research (3+ searches), codebase exploration (8+ files), multi-step workflows, exploratory tasks, long-running operations, documentation generation,...
Use when writing or updating documentation - generates function docs, API specs, architecture diagrams (Mermaid), READMEs, code explanations. Activates when user says "document this", "write README", "explain t...
AI를 활용해 핵심 개념을 추출하고, 문맥을 분석하여 지식 베이스(20_Learning)와 양방향으로 연결합니다.
Anthropic의 Best Practice를 기반으로 고성능 프롬프트를 설계하고 최적화합니다.
Use this skill to learn from mistakes. Activate when Claude makes tool call errors, incorrect assumptions, oversights, or when the user corrects Claude. Maintains auto-learning.md as a knowledge base of lessons...
Use this skill when the user asks to create a new skill, custom command, or wants to know how skills work in Claude Code.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.