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All Skills

Total 32,051 skills, AI & Machine Learning has 5170 skills

Categories

Showing 12 of 5170 skills

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AI & Machine Learningnotque/claude-code-toolki...

roast

Constructive critique through 5 HackerNews commenter personas with evidence-based claim validation. Use when user wants devil's advocacy, stress testing, or critical review of ideas, docs, architecture, or code. Use for "roast", "critique this", "poke holes", "devil's advocate", "stress test", or "what's wrong with". Do NOT use for code review (use systematic-code-review), implementation changes, or performance profiling without a specific critique request.

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AI & Machine Learningnotque/claude-code-toolki...

voice-orchestrator

Multi-step voice content generation with deterministic validation. Orchestrates a 7-phase pipeline: LOAD, GROUND, GENERATE, VALIDATE, REFINE, OUTPUT, CLEANUP. Use when generating content in a specific voice, writing as a persona, or validating existing content against a voice profile. Use for "voice write", "write as", "generate in voice", or "voice content". Do NOT use for creating new voice profiles (use voice-calibrator), analyzing writing samples (use voice_analyzer.py), or general content without a voice target.

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AI & Machine Learningnotque/claude-code-toolki...

feature-implement

Execute wave-ordered implementation plan by dispatching tasks to domain agents. Use after /feature-plan produces a plan. Use for "implement feature", "execute plan", "start building", or "/feature-implement". Do NOT use without a plan or for ad-hoc coding tasks.

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AI & Machine Learningnotque/claude-code-toolki...

subagent-driven-development

Fresh-subagent-per-task execution with two-stage review (ADR compliance + code quality). Use when an implementation plan exists with mostly independent tasks and you want quality gates between each. Use for "execute plan", "subagent", "dispatch tasks", or multi-task implementation runs. Do NOT use for single simple tasks, tightly coupled work needing shared context, or when the user wants manual review after each task.

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2
AI & Machine Learningnotque/claude-code-toolki...

socratic-debugging

Question-only debugging mode that guides users to find root causes themselves through structured questioning. Never gives answers directly. Escalates to systematic-debugging after 12 questions if no progress. Use when: "rubber duck", "help me think through this bug", "debug with me", "walk me through debugging", "socratic debug", "think through this issue"

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AI & Machine Learningnotque/claude-code-toolki...

dispatching-parallel-agents

Dispatch independent subagents in parallel for unrelated problems spanning different subsystems. Use when 2+ failures have independent root causes, multiple subsystems are broken independently, or user requests concurrent investigation. Use for "parallel", "multiple failures", "independent bugs", "fix these concurrently". Do NOT use for related failures, shared-state problems, or exploratory debugging where root cause is unknown.

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2
AI & Machine Learningruvnet/ruflo

agent-gossip-coordinator

Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator

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AI & Machine Learningruvnet/ruflo

agent-collective-intelligence-coordinator

Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator

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2
AI & Machine Learningruvnet/ruflo

agent-arch-system-design

Agent skill for arch-system-design - invoke with $agent-arch-system-design

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2
AI & Machine Learningruvnet/ruflo

agent-project-board-sync

Agent skill for project-board-sync - invoke with $agent-project-board-sync

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2
AI & Machine Learningruvnet/ruflo

agent-authentication

Agent skill for authentication - invoke with $agent-authentication

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2
AI & Machine Learningruvnet/ruflo

agent-v3-performance-engineer

Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer

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