Total 56,939 skills, AI & Machine Learning has 9466 skills
Showing 12 of 9466 skills
Interview the user relentlessly about whatever they want to work on — a plan, task, design, idea, feature, architecture decision, or anything else — until reaching shared understanding. Walk the decision tree one branch at a time, resolving dependencies between decisions. Use when the user says "grill me", wants to stress-test a plan or idea, wants to be interviewed about a design, or wants to flesh out an under-specified task.
ALWAYS invoke this command when creating, editing, or improving any CLAUDE.md file
Use when adding or configuring an MCP (Model Context Protocol) server in a Claude Code plugin. Triggers on "add mcp", "setup mcp", "configure mcp server", "add mcp.json to plugin", or any request to wire up an external MCP tool server to a plugin in this repository.
GANG entry skill. When a user types /gang, it indicates that they want to upgrade the current pane to a GANG orchestrator and start the GANG closed-loop. The skill content = run `hive gang init`, move the current pane to a new window, set up the board + skeptic, and automatically dispatch /gang-orch to take over the duty.
Set up orq.ai observability for LLM applications. Use when setting up tracing, adding the AI Router proxy, integrating OpenTelemetry, auditing existing instrumentation, or enriching traces with metadata.
6-phase interactive interview that generates the agent's identity (SOUL.md), user profile (USER.md), access control (ACCESS_POLICY.md), and operational cadence (HEARTBEAT.md). Re-runnable anytime to update any section.
guide and workflow for creator-validation.
Design patterns for the Langroid multi-agent LLM framework. Covers agent configuration, tools, task control, and integrations.
Framework for automated search over task-specific model harnesses — the code around a fixed base model that decides what to store, retrieve, and show while the model works.
Use when creating specialized subagents for Claude Code plugins or the Task tool - covers description writing for auto-delegation, tool selection, prompt structure, and testing agents
Smart Money Signal Copy Trade v1.0 — onchainos Agentic Wallet + Cost-Aware TP + Dev/Bundler Safety + Session Risk Control. Triggers when the user mentions smart money strategy, signal strategy, copy trading, whale tracking, KOL copy trading, on-chain signal trading, co-riding addresses, take profit / stop loss, risk preference, or wants to automatically buy/sell based on smart money signals. Runtime file: bot.py (includes Web Dashboard http://localhost:3248) Config file: config.py (hot-reload)
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.