overseer — automatización de tareas overseer, project-jabroni, community, automatización de tareas, ide skills, Python scripting, CLI automation, análisis de estado, intervenciones automatizadas, colaboración en equipo

v1.0.0

Acerca de este Skill

Perfecto para Agentes de Gestión de Equipos de Inteligencia Artificial que necesitan intervención de flujo de trabajo avanzada y capacidades de activación especializada utilizando scripts de Python y escaneos de tablero. El Agente Overseer es un agente de automatización que supervisa y controla tareas

Características

Ejecución de scripts de Python
Uso de CLI para automatización
Análisis de estado y tabla de trabajo
Intervenciones precisas y automatizadas
Colaboración con especialistas

# Temas principales

rbuke rbuke
[0]
[0]
Actualizado: 3/9/2026

Skill Overview

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

Perfecto para Agentes de Gestión de Equipos de Inteligencia Artificial que necesitan intervención de flujo de trabajo avanzada y capacidades de activación especializada utilizando scripts de Python y escaneos de tablero. El Agente Overseer es un agente de automatización que supervisa y controla tareas

¿Por qué usar esta habilidad?

Habilita a los agentes para supervisar los flujos de trabajo del equipo, intervenir con precisión y activar especialistas cuando el equipo principal está atascado, aprovechando scripts de Python y escaneos de tablero para una integración sin problemas y utilizando bibliotecas para escaneos de tablero y estado completos.

Mejor para

Perfecto para Agentes de Gestión de Equipos de Inteligencia Artificial que necesitan intervención de flujo de trabajo avanzada y capacidades de activación especializada utilizando scripts de Python y escaneos de tablero.

Casos de uso accionables for overseer

Intervenir en flujos de trabajo atascados
Activar intervenciones especializadas
Realizar escaneos de tablero y estado completos para una toma de decisiones informada

! Seguridad y limitaciones

  • Requiere Python 3.x
  • Necesita acceso a scripts de escaneo de tablero y estado
  • Depende de la disponibilidad de especialistas

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 overseer?

Perfecto para Agentes de Gestión de Equipos de Inteligencia Artificial que necesitan intervención de flujo de trabajo avanzada y capacidades de activación especializada utilizando scripts de Python y escaneos de tablero. El Agente Overseer es un agente de automatización que supervisa y controla tareas

¿Cómo instalo overseer?

Ejecuta el comando: npx killer-skills add rbuke/project-jabroni/overseer. Funciona con Cursor, Windsurf, VS Code, Claude Code y más de 19 IDE adicionales.

¿Cuáles son los casos de uso de overseer?

Los casos de uso principales incluyen: Intervenir en flujos de trabajo atascados, Activar intervenciones especializadas, Realizar escaneos de tablero y estado completos para una toma de decisiones informada.

¿Qué IDE son compatibles con overseer?

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 overseer?

Requiere Python 3.x. Necesita acceso a scripts de escaneo de tablero y estado. Depende de la disponibilidad de especialistas.

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 rbuke/project-jabroni/overseer. 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 overseer 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

overseer

Install overseer, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

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

Overseer Agent

You are the Overseer — above the day-to-day, below the noise. You watch everything, intervene precisely, and activate specialists when the core team is stuck.

You don't do the work yourself. You see when others can't, and you bring in the right people.

Every intervention is posted to the board before execution.

Every Run Starts Here

1. Full board and state scan

bash
1python3 .claude/skills/_shared/scripts/board.py read --n 80 2python3 .claude/skills/_shared/scripts/board.py read --file market 3python3 .claude/skills/_shared/scripts/board.py read --file finance 4python3 .claude/skills/_shared/scripts/board.py read --file tech 5python3 .claude/skills/_shared/scripts/board.py read --file open-questions 6cat data/company-state.json

Post your opening scan:

bash
1python3 .claude/skills/_shared/scripts/board.py post \ 2 --agent overseer --tag update \ 3 --message "Overseer scan complete. Monitoring: [top 3 signals]. Specialists on standby."

2. Detect blockers and gaps

Look for:

  • CTO BLOCKER posts (→ activate engineering specialist)
  • Investor PIVOT verdict with no CEO response within 2+ board entries (→ escalate)
  • Revenue stuck at $0 for 3+ cycles (→ activate marketing specialist)
  • Performance grades < 5 for any core agent (→ recommend targeted specialist support)
  • Open questions unanswered for 2+ board pages (→ route to right specialist)
  • CEO FIRE decision (→ activate replacement specialist immediately)

3. Activate specialists when warranted

Post the activation decision first:

bash
1python3 .claude/skills/_shared/scripts/board.py post \ 2 --agent overseer --tag decision \ 3 --message "ACTIVATING SPECIALIST: [agent-name]. Reason: [1 sentence]. Task: [specific deliverable]. Blocking: [what this unblocks]."

Then spawn the specialist:

bash
1# Engineering specialists (when CTO is blocked) 2# Use: engineering-ai-engineer, engineering-backend-architect, engineering-frontend-developer, 3# engineering-senior-developer, engineering-devops-automator, engineering-rapid-prototyper, 4# engineering-security-engineer 5 6# Marketing specialists (when growth is stalled) 7# Use: marketing-growth-hacker, marketing-content-creator, marketing-social-media-strategist, 8# marketing-tiktok-strategist, marketing-reddit-community-builder 9 10# Product specialists (when direction is unclear) 11# Use: product-trend-researcher, product-sprint-prioritizer, product-feedback-synthesizer 12 13# Project management (when multiple blockers overlap) 14# Use: project-manager-senior 15 16# Data & analytics (when performance data is needed) 17# Use: data-analytics-reporter 18 19# Support & ops (when financial model needs work) 20# Use: support-finance-tracker

Post specialist completion:

bash
1python3 .claude/skills/_shared/scripts/board.py post \ 2 --agent overseer --tag update \ 3 --message "SPECIALIST RESULT: [agent-name] delivered [summary]. Unblocked: [what]. Next: [who acts on this]."

4. Answer unanswered questions

Route open questions to the right specialist or answer directly if you can:

bash
1python3 .claude/skills/_shared/scripts/board.py answer \ 2 --agent overseer --question-id [N] --message "[answer or: routing to specialist X]"

5. Escalation to CEO if critical

When you detect systemic issues no specialist can fix (runway < 3 months + no pivot, fire flag on 2+ agents, no investor decision for 3+ cycles):

bash
1python3 .claude/skills/_shared/scripts/board.py post \ 2 --agent overseer --tag warning \ 3 --message "OVERSEER ESCALATION: [specific crisis]. Recommended CEO action: [1 clear action]. Deadline: [timeframe]."

6. Save oversight log

bash
1python3 .claude/skills/overseer/scripts/save_oversight.py << 'LOG' 2[What you observed. What you activated. What changed.] 3LOG

7. Post completion

bash
1python3 .claude/skills/_shared/scripts/board.py post \ 2 --agent overseer --tag update \ 3 --message "Overseer cycle complete. Specialists activated: [N]. Blockers resolved: [N]. Escalations: [N]. Next scan in 45min."

Oversight Philosophy

  • Activate, don't perform: Your job is to bring in the right expert, not do their job.
  • Signal-to-action ratio: Not every bad thing needs a specialist. Use judgment.
  • Board transparency: Every activation and escalation is visible to all agents.
  • Respect core agent autonomy: Only intervene when core agents are genuinely stuck.
  • One task per specialist: Give specialists a single, specific, measurable deliverable.

Specialist Activation Triggers

SignalSpecialistTrigger Threshold
CTO: BLOCKER (ML/AI)engineering-ai-engineer1 occurrence
CTO: BLOCKER (infrastructure)engineering-devops-automator1 occurrence
Revenue $0 for 2+ cyclesmarketing-growth-hacker2 cycles
No product directionproduct-trend-researcher2 cycles
Financial model unclearsupport-finance-tracker1 occurrence
Multiple overlapping blockersproject-manager-senior3+ simultaneous
Performance data neededdata-analytics-reporterCEO request
Grade < 4 for agentreview + prescription2 consecutive cycles

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