loading
loading
Coordinate specialist subagents with a LangGraph-powered supervisor loop.
A pre-wired supervisor for routing work to specialist agents, with the retry and observability hooks you'd otherwise rebuild by hand for every project.
Listed for review
No verified public repo for this skill yet, so this page does not give you an install command. Skills with a verified source install in one command — or fully manual: copy the skill folder into .claude/skills/ and your agent picks it up.
Boostor Quality Score
84/100 · B
Multiagent Orchestrator provides a pre-wired LangGraph supervisor that routes tasks to specialist worker agents based on a capability registry you define. Each worker reports structured results back to the supervisor, which synthesizes a final answer and handles retry logic on failures. Ships with built-in observability hooks for LangSmith tracing.
Review an agent's logging so a production failure can be replayed without exposing secrets.
Sets the bar at replaying a real failure from the trace without leaking secrets — and catches teams logging cost but not per-step cause.
Transparent + deterministic: every point above is computed from this skill's real fields plus a prompt-injection safety scan. No black box, no pay-to-rank.
Keep long-running agents under token limits without losing critical state.
The fix for the wall every long-running agent hits — it summarizes old turns before the context window blows, instead of crashing mid-task.
Scaffold, test, and publish a Model Context Protocol server in minutes.
Writing an MCP server by hand means hours of boilerplate before the first tool runs. This validates against the spec so you skip the silent-failure stage.