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From invoke-agent
Invoke an AI agent (claude, cursor-agent, gemini) via invoke-agent CLI. Use when you need to run a cross-agent call bound to an existing session or start a new one.
How this skill is triggered — by the user, by Claude, or both
Slash command
/invoke-agent:promptThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Invoke the invoke-agent CLI to run a request targeting a specific AI agent, continuing an existing conversation or starting a new one.
Invoke the invoke-agent CLI to run a request targeting a specific AI agent, continuing an existing conversation or starting a new one.
Available substitutions: $ARGUMENTS (prompt text), ${CLAUDE_SESSION_ID} (current Claude Code session ID).
Identify the roles:
to: The target agent to invoke (claude, cursor-agent, or gemini).from: The requester agent type (usually claude if you are running this from Claude Code).from-session-id: The current session ID (use ${CLAUDE_SESSION_ID}).Run in the terminal:
invoke-agent prompt --to <TARGET_AGENT> --from claude --from-session-id ${CLAUDE_SESSION_ID} "<prompt>"
If the user explicitly wants to start a fresh conversation instead of resuming the last one, append --new.
The command returns an output ID when it finishes. You can pass that ID to the output skill (/invoke-agent:output <output-id>) or use invoke-agent output get <output-id> to read the result (stdout, stderr, file content, exit status).
If INVOKE_AGENT_DATABASE_PATH is not set, append --db <project-root>/.invoke-agent/communication.db to the command, where <project-root> is the directory where the AI agent CLI (e.g. Claude Code) was originally started — you already know this from your session context.
npx claudepluginhub powdream/claude-plugins --plugin invoke-agentSpawns external CLI AIs (claude, cursor-agent, codex, gemini) as isolated sub-agents with dedicated context. Delegates tasks to specialized agents via natural language.
Manages Claude AI sub-agent sessions via agent-deck CLI: launch child sessions, check status, retrieve outputs, attach MCP tools like exa.
Discovers and communicates with active AI agents (Codex, Claude Code) using ai-devkit agent list, detail, and send commands. Useful for inter-agent coordination.