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Found 416 Skills
Multi-model agent orchestration using specialized agents for planning, coding, research, math/science, visual analysis, and adversarial review. Use when tasks are complex enough to benefit from different models' strengths, when you want adversarial review to catch blind spots, or when coordinating multi-step workflows across agent roles. Triggers on complex projects, multi-step tasks, architecture decisions, or when explicitly requested.
Hermes Agent framework by Nous Research - self-improving AI agent with built-in learning loop, three-layer memory, and automatic skill evolution
Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.
Agentic workflow for cloning websites with pixel-perfect fidelity using specialized sub-agents. Use when the user wants to clone/copy/replicate a website, create a landing page based on an existing site, or needs to extract and recreate a website's design. Includes orchestration via slash command, four specialized sub-agents (screenshotter, extractor, cloner, qa-reviewer), and outputs React components with Tailwind CSS and motion animations.
Guide for creating AI subagents with isolated context for complex multi-step workflows. Use when users want to create a subagent, specialized agent, verifier, debugger, or orchestrator that requires isolated context and deep specialization. Works with any agent that supports subagent delegation. Triggers on "create subagent", "new agent", "specialized assistant", "create verifier".
Uncertainty-aware non-linear reasoning system with recursive subagent orchestration. Triggers for complex reasoning, research, multi-domain synthesis, or when explicit commands `/nlr`, `/reason`, `/think-deep` are used. Integrates think skill (reasoning), agent-core skill (acting), and MCP tools (infranodus, exa, scholar-gateway) in recursive think→act→observe loops. Uses coding sandbox for execution validation and maintains deliberate noisiness via NoisyGraph scaffold. Supports `/compact` mode for abbreviated outputs and `/semantic` mode for rich exploration.
Master coordinator that delegates to specialist skills, synthesizes outputs, AND creates new skills on-the-fly when needed. Expert in problem decomposition, skill orchestration, quality assurance, and skill creation for capability gaps. Use for multi-skill coordination, complex task decomposition, workflow design. Activates on 'orchestrate', 'coordinate', 'multi-skill', 'complex task'. NOT for single-domain tasks or simple linear workflows.
Load PROACTIVELY when decomposing a user request into parallel agent work. Use when user says "build this", "implement this feature", or any request requiring multiple agents working concurrently. Guides task decomposition into parallelizable units, agent assignment with skill matching, dependency graph construction, WRFC loop coordination across up to 6 concurrent agent chains, and result aggregation.
Discover and document business rules, technical patterns, and system interfaces through iterative analysis
Orchestration mode for implementation tasks. Manages the plan → code → review loop. Use /orchestrate <requirements> or let /implement invoke it.
This skill should be used when the user asks to "wrap up session", "end session", "session wrap", "/wrap", "document learnings", "what should I commit", or wants to analyze completed work before ending a coding session.
Universal Assistant — Automatically analyzes scenarios, takes inventory of ECC resources, intelligently routes to the optimal agent pipeline, and completes complex workflows with one click.