agentflow-orchestrator — for Claude Code agentflow-orchestrator, 20_agentflow, community, for Claude Code, ide skills, @agent, Orchestrator, Lightweight, Routing, Removes

v1.0.0

Acerca de este Skill

Escenario recomendado: Ideal for AI agents that need orchestrator — lightweight routing layer. Resumen localizado: Route tasks to agents using capability scoring, detect stalls, and manage dependency cascades. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Características

Orchestrator — Lightweight Routing Layer
Removes the human as the routing bottleneck between triage and execution.
The orchestrator is a phase, not a daemon — it runs at defined trigger points inside the
Autopilot Cycle Start
After reading next [ ] item, before DOR check:

# Temas principales

cordsjon cordsjon
[1]
[0]
Actualizado: 3/17/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Escenario recomendado: Ideal for AI agents that need orchestrator — lightweight routing layer. Resumen localizado: Route tasks to agents using capability scoring, detect stalls, and manage dependency cascades. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

¿Por qué usar esta habilidad?

Recomendacion: agentflow-orchestrator helps agents orchestrator — lightweight routing layer. Route tasks to agents using capability scoring, detect stalls, and manage dependency cascades. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Mejor para

Escenario recomendado: Ideal for AI agents that need orchestrator — lightweight routing layer.

Casos de uso accionables for agentflow-orchestrator

Caso de uso: Orchestrator — Lightweight Routing Layer
Caso de uso: Removes the human as the routing bottleneck between triage and execution
Caso de uso: The orchestrator is a phase, not a daemon — it runs at defined trigger points inside the

! Seguridad y limitaciones

  • Limitacion: Requires repository-specific context from the skill documentation
  • Limitacion: Works best when the underlying tools and dependencies are already configured

About The Source

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Demo Labs

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ y pasos de instalación

These questions and steps mirror the structured data on this page for better search understanding.

? Preguntas frecuentes

¿Qué es agentflow-orchestrator?

Escenario recomendado: Ideal for AI agents that need orchestrator — lightweight routing layer. Resumen localizado: Route tasks to agents using capability scoring, detect stalls, and manage dependency cascades. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

¿Cómo instalo agentflow-orchestrator?

Ejecuta el comando: npx killer-skills add cordsjon/20_agentflow/agentflow-orchestrator. Funciona con Cursor, Windsurf, VS Code, Claude Code y más de 19 IDE adicionales.

¿Cuáles son los casos de uso de agentflow-orchestrator?

Los casos de uso principales incluyen: Caso de uso: Orchestrator — Lightweight Routing Layer, Caso de uso: Removes the human as the routing bottleneck between triage and execution, Caso de uso: The orchestrator is a phase, not a daemon — it runs at defined trigger points inside the.

¿Qué IDE son compatibles con agentflow-orchestrator?

Esta skill es compatible con Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Usa la CLI de Killer-Skills para una instalación unificada.

¿Tiene limitaciones agentflow-orchestrator?

Limitacion: Requires repository-specific context from the skill documentation. Limitacion: Works best when the underlying tools and dependencies are already configured.

Cómo instalar este skill

  1. 1. Abre tu terminal

    Abre la terminal o línea de comandos en el directorio de tu proyecto.

  2. 2. Ejecuta el comando de instalación

    Ejecuta: npx killer-skills add cordsjon/20_agentflow/agentflow-orchestrator. La CLI detectará tu IDE o agente automáticamente y configurará la skill.

  3. 3. Empieza a usar el skill

    El skill ya está activo. Tu agente de IA puede usar agentflow-orchestrator de inmediato en el proyecto actual.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

agentflow-orchestrator

Resumen localizado: Route tasks to agents using capability scoring, detect stalls, and manage dependency cascades. This AI agent skill supports Claude Code

SKILL.md
Readonly
Upstream Repository Material
The section below is adapted from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

Orchestrator — Lightweight Routing Layer

Removes the human as the routing bottleneck between triage and execution. The orchestrator is a phase, not a daemon — it runs at defined trigger points inside the autopilot loop.

When It Runs

1. Autopilot Cycle Start

After reading next [ ] item, before DOR check:

  1. Stall check — is the current/last item stuck?
  2. Assignment check — does item have @agent? If not, route it
  3. Unblock scan — did a recently completed item satisfy any needs: dependency?
  4. Context preload — assemble file refs, risk flags, prior art into _Context:_ line

2. Task Completion

After moving item to DONE-Today:

  1. Dependency cascade — check BACKLOG for items with needs: <completed_item>. If found and Ready, suggest queuing
  2. Stall reset — clear stall:N counter
  3. Planning trigger — if queue has <= 1 unchecked item, suggest planning round

Routing Scoring

For each registered agent:

score = sum(keyword_match(task_keywords, agent.strengths))
      + context_bonus(task_files, agent.context_access)    (+2)
      - constraint_penalty(task_requirements, agent.constraints)  (-10)

Confidence Thresholds

  • > 0.7 — auto-route to best agent
  • 0.3 - 0.7 — suggest agent, human confirms
  • < 0.3 — tag as @unrouted, skip to next routable item

Stall Detection

A task is stalled when:

  1. Time-based: no activity file changes for > 10min (30min for requirements sessions)
  2. Error-loop: same error pattern 3+ times in console tail
  3. Explicit: agent writes STALLED: <reason>

Escalation Ladder

LevelTriggerAction
stall:1First detectionLog warning, increment counter
stall:2Second consecutive checkWrite stall warning
stall:3Third consecutive checkPause autopilot, escalate to human

On multi-agent setup: if another agent has capability, suggest re-routing.

Context Preloading

The orchestrator assembles:

  1. File references — files mentioned in task description or spec
  2. Related threads — if task originated from a message, include thread
  3. Prior art — related completed items from DONE-Today or archives
  4. Risk flags — if task touches a known risk, surface the risk entry

Result Validation

After execution, before commit:

  1. Greenlight — project test suite must pass
  2. Known patterns scan — check diff against anti-patterns
  3. Constraint check — verify no project constraint violations

See routing.md for detailed scoring examples.

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