overseer — мониторинг процесса overseer, project-jabroni, community, мониторинг процесса, ide skills, точное вмешательство, скрипты Python, автоматизация задач, анализ состояния, Claude Code, Cursor

v1.0.0

Об этом навыке

Идеально для агентов управления командами ИИ, которым необходимы продвинутые вмешательства в рабочий процесс и возможности активации специалистов с использованием скриптов Python и сканирования доски. Overseer - это агент мониторинга, который наблюдает за процессами и вмешивается при необходимости.

Возможности

Мониторинг процесса в реальном времени
Точное вмешательство с помощью скриптов Python
Использование CLI для автоматизации задач
Публикация вмешательств на доске
Анализ состояния и полной доски

# Core Topics

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

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
39
Canonical Locale
en
Detected Body Locale
en

Идеально для агентов управления командами ИИ, которым необходимы продвинутые вмешательства в рабочий процесс и возможности активации специалистов с использованием скриптов Python и сканирования доски. Overseer - это агент мониторинга, который наблюдает за процессами и вмешивается при необходимости.

Зачем использовать этот навык

Наделяет агентов возможностью контролировать рабочие процессы команды, вмешиваться точно и активировать специалистов, когда основная команда застряла, используя скрипты Python и сканирование доски для бесшовной интеграции, и используя библиотеки для полного сканирования доски и состояния.

Подходит лучше всего

Идеально для агентов управления командами ИИ, которым необходимы продвинутые вмешательства в рабочий процесс и возможности активации специалистов с использованием скриптов Python и сканирования доски.

Реализуемые кейсы использования for overseer

Вмешательство в застрявшие рабочие процессы
Активация вмешательства специалистов
Проведение полного сканирования доски и состояния для принятия обоснованных решений

! Безопасность и ограничения

  • Требует Python 3.x
  • Нуждается в доступе к скриптам сканирования доски и состояния
  • Зависит от наличия специалистов

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

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 & Installation Steps

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

? Frequently Asked Questions

What is overseer?

Идеально для агентов управления командами ИИ, которым необходимы продвинутые вмешательства в рабочий процесс и возможности активации специалистов с использованием скриптов Python и сканирования доски. Overseer - это агент мониторинга, который наблюдает за процессами и вмешивается при необходимости.

How do I install overseer?

Run the command: npx killer-skills add rbuke/project-jabroni/overseer. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for overseer?

Key use cases include: Вмешательство в застрявшие рабочие процессы, Активация вмешательства специалистов, Проведение полного сканирования доски и состояния для принятия обоснованных решений.

Which IDEs are compatible with overseer?

This skill is compatible with 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. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for overseer?

Требует Python 3.x. Нуждается в доступе к скриптам сканирования доски и состояния. Зависит от наличия специалистов.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add rbuke/project-jabroni/overseer. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use overseer immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

overseer

Install overseer, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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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