Loading...
Loading...
Found 124 Skills
Conduct web research and material downloading for each node. Read node-list.txt, launch multiple sub-agents to perform parallel web research on node content, deeply retrieve relevant webpages/articles/blogs/literature, download and save them locally, and output a download.txt file to record the material sources for each node. Suitable for document writing scenarios that require extensive background information, data verification, and reference sources.
Use the local `5dive` CLI on a 5dive runtime VM to spawn, inspect, send to, and tear down sibling agents. Trigger this skill whenever the user asks for a worker, sub-agent, side task, parallel run, "another agent", "fan out", "delegate", or anything that needs more than one Claude/Codex/Gemini process running at once on the host. Also trigger when the user asks to inspect, restart, or pair an existing agent, when they mention `/var/lib/5dive/`, or when they need a machine-readable health check (`5dive doctor --json`). Always prefer `5dive` over running coding CLIs by hand — it is the only sanctioned way to keep agents under systemd.
Multi-model consensus council for validation, research, and brainstorming. Spawns parallel judges with configurable perspectives and optional explorer sub-agents using runtime-native backends (Codex sub-agents or Claude teams). Modes: validate, brainstorm, research. Triggers: council, validate, brainstorm, critique, research, analyze, multi-model, consensus.
Scans all skill directories in the repository to generate a comprehensive global map of agent capabilities, inputs, and outputs. Use when you need to understand the full potential of your agent library or when a master agent needs to decide which sub-agent skill to invoke for a complex task.
Use when answering complex questions about a codebase that require exploring multiple areas or understanding how components connect - coordinates parallel sub-agents to locate, analyze, and synthesize findings
Create and configure Claude Code sub-agents with custom prompts, tools, and models
One-click comprehensive analysis of a stock/company. Collect data from five dimensions - stock price, news sentiment, industry comparison, market environment, and official company website - simultaneously through parallel sub-agents, then conduct cross-analysis, causal attribution, and trend prediction in the main thread, and output a standardized analysis report. Trigger words: Analyze XX stock, analyze TICKER, How is XX, Is XX worth buying? Supports A-shares and U.S. stocks.
Use ONLY when the user explicitly asks to *create* a new SeeFlow flow — "create a flow", "generate a flow", "scaffold a SeeFlow flow", "add a flow to this repo" — or when a previous `/seeflow-lookup` already reported no matching flow exists. **Do NOT invoke for inspection phrasing** ("show me", "how does X work", "diagram our system", "explain the flow") — those route to `/seeflow-lookup` first; it will auto-hand off here only when nothing is registered. Orchestrates five sub-agents and the `seeflow` CLI to turn a natural-language prompt into a registered, validated SeeFlow flow at `<project>/flow.json` (node-attached files live under `<projectPath>/nodes/<id>/`).
Comprehensive guide to sub-agents in Claude Code: built-in agents (Explore, Plan, general-purpose), custom agent creation, configuration, and delegation patterns. Use when: creating custom sub-agents, delegating bulk operations, parallel research, understanding built-in agents, or configuring agent tools/models.
Spawn isolated agents for parallel task execution. Local mode auto-selects Codex sub-agents or Claude teams. Distributed mode uses tmux + Agent Mail (process isolation, persistence). Triggers: "swarm", "spawn agents", "parallel work".
Sets up Claude Code agent teams with role-based composition. Use when creating dev teams, defining team roles, or organizing multi-agent collaboration. Do NOT use for single sub-agent creation (use agent-creator instead).
Give Claude Code full internet access with three-layer channel dispatch, CDP browser automation, and parallel sub-agent task splitting