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team-agent-orchestration

Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs. Use when coordinating an agent squad with work items, ownership, Kanban, and merge gates.

Qu'est-ce que team-agent-orchestration ?

team-agent-orchestration is a Claude Code agent skill that run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs. Use when coordinating an agent squad with work items, ownership, Kanban, and merge gates.

Compatible avecClaude CodeCodex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/team-agent-orchestration

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Documentation

Team Agent Orchestration

Use this skill when agents are being managed like a team rather than a single assistant. The purpose is to make team-based orchestration reliable: clear work items, explicit ownership, agent Kanban state, branch isolation, control pane visibility, and merge gates.

When To Activate

  • The task spans multiple agents, tools, harnesses, branches, or worktrees.
  • The user mentions team orchestration, agent Kanban, squad, conductor, control pane, manager, desktop app, Zellij, tmux, Hermes, Devin, Codex, Claude Code, or multi-agent work.
  • A project needs shared workflow state across people and agents.
  • Existing agent fan-out is producing output but not mergeable product.

Operating Model

Treat every agent as a teammate with a narrow contract:

  • Owner: the person or agent accountable for the work item.
  • Scope: files, branch, tool surface, and forbidden areas.
  • State: backlog, ready, running, review, blocked, merged, or archived.
  • Evidence: tests, screenshots, logs, review notes, or eval reports.
  • Merge gate: the exact condition that allows integration.

Agent Kanban

Use agent Kanban when work must be visible across sessions.

ColumnMeaningExit Criteria
BacklogCandidate work item, not yet shapedAcceptance criteria written
ReadyShaped and assignableOwner and branch/worktree assigned
RunningAgent is actively workingHandoff artifact and changed files exist
ReviewWork is complete but not mergedTests, diff review, and risk check pass
BlockedNeeds external input or failed gateBlocker has owner and next action
MergedIntegrated into mainlinePR merged or local main updated
ArchivedNo longer relevantReason recorded

Each card should fit this schema:

{
  "id": "agent-card-001",
  "title": "Build dynamic workflow skill",
  "owner": "codex",
  "state": "running",
  "branch": "product/dynamic-workflow-team-orchestration",
  "worktree": ".",
  "acceptance": [
    "Skill exists",
    "Tests cover required concepts",
    "Content artifact contains video and article angles"
  ],
  "merge_gate": "lint, focused tests, and catalog check pass",
  "handoff": "path/to/handoff.md"
}

Team-Based Orchestration Flow

  1. Shape the board: convert fuzzy ambition into work items with owners and merge gates.
  2. Pick execution mode: single-agent, dynamic workflow mode, dmux/tmux, worktree fan-out, or external desktop orchestrator.
  3. Assign boundaries: one owner per card, clear file scope, and no overlapping writes without an integrator.
  4. Run agents: each agent writes evidence and handoff notes, not just code.
  5. Review in sequence: tests first, then diff review, then security/risk checks, then content/product polish.
  6. Merge deliberately: one integrator resolves conflicts and updates the control pane or status artifact.
  7. Extract reusable skill: if the card pattern repeats, promote it into skills/.

Control Pane Requirements

A useful control pane for team orchestration should show:

  • Active work items and their agent Kanban state.
  • Owner, harness, branch, worktree, and last heartbeat.
  • Links to handoff artifacts, tests, screenshots, and PRs.
  • Blockers grouped by owner and unblock action.
  • Merge readiness by gate, not vibes.
  • Reusable workflow candidates that should become shared skills.

Do not add more automation until the operator can answer: who owns this, what changed, what gate failed, and what can safely merge?

Dynamic Workflow Compatibility

When a card needs dynamic workflow mode:

  • Put the task-local harness under the card owner.
  • Store inputs and outputs on the card.
  • Require an eval before moving from Running to Review.
  • Promote the harness to a shared skill only after repeat use.

Failure Modes To Watch

  • Agent soup: many agents running, no owner or merge gate.
  • Invisible work: useful output exists only in a chat transcript.
  • Board theater: a Kanban board exists but cards have no acceptance criteria.
  • Overlapping writes: parallel agents edit the same files without worktrees.
  • No product artifact: the process produces docs but no runnable or publishable surface.

Output Standard

Finish each orchestration pass with:

  • Board/card changes.
  • Merged or pending branches.
  • Tests and eval evidence.
  • Blockers with owner and next action.
  • New shared skill candidates.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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