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Found 362 Skills
AI prompt orchestration CLI using reusable Patterns. Use for YouTube summarization, document analysis, content extraction, code explanation, writing assistance, and any AI task via stdin/stdout piping across 20+ providers.
Multi-agent swarm orchestration where AI agents spawn, coordinate, and self-organize into collaborative teams. Use when running parallel AI agent tasks, orchestrating multi-agent workflows across Claude Code / Codex / Cursor / custom agents, isolating agent workspaces via git worktrees, tracking task dependencies across agents, or running autonomous experiments. Triggers on: clawteam, agent swarm, spawn agents, multi-agent team, agent orchestration, parallel agents, agent coordination, swarm intelligence, agent spawn, clawteam spawn, agent worktree, agentic team, ml agent experiments, autonomous agents, agent team.
ZoomInfo platform help — SalesOS, MarketingOS, OperationsOS, Copilot, API, integrations. Use when asking 'how do I do X in ZoomInfo', setting up ZoomInfo searches, configuring ZoomInfo enrichment, ZoomInfo intent, ZoomInfo Engage sequences, ZoomInfo advertising, ZoomInfo FormComplete, ZoomInfo data orchestration, ZoomInfo Copilot, or troubleshooting ZoomInfo. Do NOT use for general enrichment strategy (use /sales-enrich), general intent strategy (use /sales-intent), general cadence design (use /sales-cadence), general data hygiene strategy (use /sales-data-hygiene), or general B2B advertising strategy (use /sales-b2b-advertising).
6sense platform help — Signalverse Intent Data, Predictive Analytics (6AI Scoring), Sales Intelligence (Sales Copilot), AI Email Agents (Conversational Email), Advertising & Audience Activation, Orchestration Workflows, Segments, Company Identification API, People/Company Enrichment API, Company Discovery, Campaign Analytics. Use when asking 'how do I set up 6sense', '6sense intent data', '6sense predictive scoring', '6sense AI email agents', '6sense advertising', '6sense segments', '6sense API', '6sense Sales Intelligence', '6sense vs Demandbase'. Do NOT use for intent strategy across tools (use /sales-intent), lead scoring strategy across tools (use /sales-lead-score), enrichment strategy across tools (use /sales-enrich), B2B advertising strategy across tools (use /sales-b2b-advertising), or cadence/sequence strategy across tools (use /sales-cadence).
On-demand and reserved GPU clusters (H100, H200, B200) on Together AI with Kubernetes or Slurm orchestration, shared storage, credential management, and cluster scaling for ML and HPC jobs. Reach for it when the user needs multi-node compute or infrastructure control rather than a managed model endpoint.
N coordinated agents on shared task list using tmux-based orchestration
Evolution API integration for WhatsApp messaging, instance management, webhooks, and chatbot orchestration. Use when: (1) Creating or managing WhatsApp instances via Evolution API, (2) Sending messages (text, media, audio, lists, buttons, reactions), (3) Configuring webhooks or event listeners, (4) Managing groups or contacts, (5) Integrating with Typebot, Chatwoot, Dify, or OpenAI through Evolution API. Triggers on: evolution-api, evolution api, whatsapp api, baileys, whatsapp integration, send whatsapp, whatsapp webhook.
Comprehensive guide for XState v5 ecosystem including state machines, actors, @xstate/store, and TanStack Query integration. Use when implementing state machines, event-driven stores, client state management, or integrating XState with React and TanStack Query for data fetching orchestration.
Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft).
Senior Multi-Agent Systems (MAS) Architect for 2026. Specialized in Model Context Protocol (MCP) orchestration, Agent-to-Agent (A2A) communication, and recursive delegation frameworks. Expert in managing complex task handoffs, shared memory state, and parallel subagent execution for high-autonomy engineering missions.
Comprehensive map and workflows for the API domain. Triggers when users ask to 'design an API', 'secure the APIs', 'update endpoints', 'view the API ecosystem', or want to see all available API orchestration skills.
Creates and orchestrates multi-agent pipelines on the iii engine. Use when building AI agent collaboration, agent orchestration, research/review/synthesis chains, or any system where specialized agents hand off work through queues and shared state.