Multi-Agent & Subagents Skills for Claude Code, Codex & AI Agents

These skills help an agent split work, coordinate specialists, and collect their results. They include parallel-agent dispatch, harness building, councils, agent deployment, observability, and team roles.

20 skills

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MODZ Savvy Flow

Faik Emre Partal

Plan, delegate and review coding work through tiered Claude Code worker agents.

  • multi-agent
  • development
  • planning
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AGENTS.md Guidance

Matteo Collina

Create or revise concise repository-specific AGENTS.md instructions.

  • agents
  • documentation
2KStars146Forks
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Official Claude-Mem demonstration: a coding session beside a browser showing persistent observations.
Free
Development & APIs

Claude-Mem Execute a Plan

Execute a phased plan with separate implementation, verification, quality review, and branch handoff responsibilities.

116.9KStars10.1KForks
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Design a project-specific harness with specialist agents, task Skills and a working orchestration structure.

  • agents
  • automation
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Explore Multi-Agent & Subagents skills

16 skills

Collect execution feedback and improve an existing harness, its agents, Skills and orchestration rules.

  • agents
  • automation
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Official Matt Pocock Skills banner with the text AI Skills for Real Engineers and a portrait of Matt Pocock.
Free
Other utilities

software-factory

Use a shared vocabulary to design agent-operated software delivery systems.

322.4KStars27KForks
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Configure and troubleshoot tracing and logs for agents built with agents-cli.

  • observability
  • agent development
6.3KStars732Forks
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Split independent problems into scoped agent tasks and integrate their results after review.

  • agent orchestration
  • parallel tasks
317.3KStars28.2KForks
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Execute a written implementation plan using task-scoped implementers and reviews with a progress ledger.

  • agent orchestration
  • implementation planning
317.3KStars28.2KForks
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Compare perspectives from configured thinker personas to examine complex decisions and record a reasoned outcome.

  • decision-making
  • agents
4.8KStars456Forks
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Official Claude-Mem demonstration: a coding session beside a browser showing persistent observations.
Free
Other utilities

Claude-Mem Branch Standup

Compare active worktrees, branches, and PRs in a shared read-only discussion, then produce one consolidation plan.

116.9KStars10.1KForks
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Plan and follow an agent lifecycle from requirements and scaffolding through evaluation and deployment.

  • agent development
  • Workflow
6.3KStars732Forks
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Create or enhance agent projects with agents-cli scaffolds and optional deployment configuration.

  • agent development
  • project setup
6.3KStars732Forks
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Compare multiple agent-generated approaches to a problem.

  • multi-agent
  • planning
694Stars98Forks
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Interface example before applying antislop
Free
Testing & security

Anti Slop — Core Anti Slop Rules

Apply the core antislop rules alongside focused design, writing and code-comment workflows.

9KStars616Forks
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Official Matt Pocock Skills banner with the text AI Skills for Real Engineers and a portrait of Matt Pocock.
Free
Other utilities

chief-of-staff

Coordinate subagents and schedules around a long-running goal in one session.

322.4KStars27KForks
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Register an already deployed agent with Gemini and manage Agent Registry entries.

  • agent deployment
  • google cloud
6.3KStars732Forks
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Write ADK Python or Go agents with patterns for tools, callbacks, state and orchestration.

  • agent development
  • python
  • go
6.3KStars732Forks
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Prepare agent deployment with agents-cli for Agent Runtime, Cloud Run or GKE.

  • agent deployment
  • google cloud
6.3KStars732Forks
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Official workflows for building, evaluating, deploying and observing agents with Google Agents CLI.

  • agent development
6.3KStars732Forks
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Related topics

How to choose Multi-Agent & Subagents skills

Use dispatch and harness entries when work can run in parallel, council entries when viewpoints should be compared, and deployment entries when the team must run as a service.

  • Split a project across parallel agents
  • Build a harness for specialist agents
  • Combine agent outputs into one decision