coordinated-agent-teams

This skill should be used when decomposing a spec into a multi-agent implementation plan with dependency ordering, parallelism decisions, contract testing, and verification strategy. Applies evidence from 5 verified multi-agent builds (sequential handoff, parallel fanout, mixed waves, corpus-wide single-agent, phased query engine) to prevent the common failure modes — integration surprises, context loss, silent failures, and over-specification overhead. Use when the implementation involves 3+ agents, has parallelization opportunities, or requires handoffs across context windows.

Safety Notice

This listing is imported from SkillsMP metadata and should be treated as untrusted until upstream source review is completed.

Copy this and send it to your AI assistant to learn

Install skill "coordinated-agent-teams" with this command: npx skills add jacob-dietle/skillsmp-jacob-dietle-jacob-dietle-coordinated-agent-teams

No markdown body

This source entry does not include full markdown content beyond metadata.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Open in GitHub

Related Skills

Related by shared tags or category signals.

Research

ingest

This skill should be used when processing raw content (transcripts, documents, notes, current conversation) into structured knowledge nodes for a Context OS. Extracts atomic concepts, creates nodes with complete frontmatter and [[wiki-links]], and routes each node to the correct knowledge_base/ domain. Use when user says "ingest this", "process into knowledge base", "turn this into nodes", or provides raw content to structure. Uses tags consistent with existing graph nodes; new concepts start as status emergent.

Repository SourceNeeds Review

-78jacob-dietle

Research

quickstart

This skill should be used when a user wants to build their first Context OS or kick off initial setup of a knowledge graph system. Guides through a 10-minute flow — assess content, create the two-layer directory structure, generate CLAUDE.md, ingest first content, and verify compounding works. Adapts to blank-slate vs existing-content starting points. Use when user says "set up a context OS", "get started with context OS", "build a knowledge graph from scratch", or "quickstart".

Repository SourceNeeds Review

-78jacob-dietle

Automation

electric-vehicle-detection-analysis

Automatically detects electric motorcycles and e-bikes in restricted areas based on computer vision. It supports real-time detection for both video streams and images, counts the number of illegal parking or driving instances, and triggers violation alerts to assist with safety management in parks, communities, and organizations. | 电动车智能检测技能，基于计算机视觉自动检测禁行区域内的电动摩托车/电动车，支持视频流和图片实时检测，统计违规停放/行驶数量，触发违规预警，助力园区/社区/单位安全管理

Archived SourceRecently Updated

--18072937735

Automation

reddit-skills

Reddit automation skill collection. Supports authentication, content publishing, search & discovery, social interactions, and compound operations. Triggered when a user asks to operate Reddit (post, search, comment, login, analyze, upvote, save).

Archived SourceRecently Updated

--1146345502