multi-agent-collaboration

multi-agent-collaboration is a skill for Claude Code, Codex from varunk130/ai-workflow-playbooks. It costs 21 tokens per session (681 once invoked), scanned A, original, MIT.

A coordination guide for multiple AI agents working on one codebase, including how to divide work and agree on shared interfaces.

In plain words
What is it for?
Use it to assign agents separate files, layers, or feature slices; define data and function contracts; and keep their changes consistent.
Why use it?
Without coordination, agents may edit the same files, create merge conflicts, duplicate work, or produce mismatched code.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assign agents separate files, layers, or feature slices; define data and function contracts; and keep their changes consistent.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/varunk130/ai-workflow-playbooks/multi-agent-collaboration
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add varunk130/ai-workflow-playbooks --skill multi-agent-collaboration
Clone the repo
git clone --depth 1 https://github.com/varunk130/ai-workflow-playbooks

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for multi-agent-collaboration

README.md
[![agentmods](https://agentmods.dev/badge/skills/varunk130/ai-workflow-playbooks/multi-agent-collaboration/github.svg)](https://agentmods.dev/skills/varunk130/ai-workflow-playbooks/multi-agent-collaboration)
Your own site
<a href="https://agentmods.dev/skills/varunk130/ai-workflow-playbooks/multi-agent-collaboration"><img src="https://agentmods.dev/badge/skills/varunk130/ai-workflow-playbooks/multi-agent-collaboration/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for multi-agent-collaboration

Your own site · 80×15
<a href="https://agentmods.dev/skills/varunk130/ai-workflow-playbooks/multi-agent-collaboration"><img src="https://agentmods.dev/badge/skills/varunk130/ai-workflow-playbooks/multi-agent-collaboration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 681 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00021 $0.00681
Opus 5 $0.00010 $0.00341
Sonnet 5 $0.00004 $0.00136
Haiku 4.5 $0.00002 $0.00068

Measured 9d ago against content hash 89e93e9be576, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

multi-agent-collaboration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/multi-agent-collaboration/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-Agent Collaboration

What This Skill Enables

An agent that can operate alongside other agents - dividing work, avoiding conflicts, and maintaining consistency - without stepping on each other's changes or duplicating effort. Without this skill, multi-agent workflows produce merge conflicts, inconsistent patterns, and wasted cycles.

Core Competencies

1. Work Partitioning

Divide tasks so agents work on independent surfaces:

  • By file: Agent A owns auth/, Agent B owns dashboard/
  • By layer: Agent A handles API endpoints, Agent B handles UI components
  • By feature slice: Agent A builds user creation end-to-end, Agent B builds search end-to-end
  • Never: Two agents modifying the same file simultaneously

2. Contract Agreement

When agents produce code that connects, define the contract first:

  • Agree on interface signatures (function names, parameter types, return types)
  • Agree on data shapes (request/response schemas, event payloads)
  • Write the interface or type definition first, implement second
  • Both agents can work in parallel once the contract is locked

3. Convention Adherence

Multiple agents must produce code that looks like one person wrote it:

  • Read the project's style guide or infer it from existing code before writing
  • Use the same naming patterns, file structure, and error handling approach
  • Run the same linter and formatter configuration
  • Follow the same commit message format

4. Conflict Prevention

Avoid merge conflicts proactively:

  • Check which files other agents have modified before starting
  • Prefer additive changes (new files) over modifications to shared files
  • When shared files must change, coordinate the order - one agent goes first
  • Use feature flags to integrate work independently

5. Handoff Protocol

When passing work to another agent:

HANDOFF NOTE:
- What I completed: [list of files/features implemented]
- What I tested: [which tests pass, what was verified]
- What remains: [tasks not yet started]
- Assumptions I made: [decisions the next agent should know about]
- Known issues: [anything broken or incomplete]
- Files to read first: [most important context files]

Read the full file on GitHub · 69 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 69 lines · 21 tokens per session scan A 89e93e9be576

Subscribe to this mod's changes

multi-agent-collaboration is a skill published in the GitHub repository varunk130/ai-workflow-playbooks (2 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 681 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

prd-taskmaster

Zero-config goal-to-tasks engine (the Atlas engine). Takes any goal (software, pentest, business, learning), runs adaptive discovery via brainstorming, generates a validated spec, parses into TaskMaster tasks, and hands off to execution. Use when user says "PRD", "product requirements", "I want to build", invokes…

anombyte93/prd-taskmaster · 80 tokens

generate

Phase 2 of the prd-taskmaster pipeline: spec generation and task parsing. Loads a template (comprehensive|minimal), fills it with DISCOVER-phase constraints and answers, validates the spec (placeholdersfound, grade thresholds), parses the PRD into tasks via task-master, runs TaskMaster's native complexity analysis…

anombyte93/prd-taskmaster · 91 tokens

discover

Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Delegates to superpowers:brainstorming in Interactive Mode (one adaptive question at a time), or self-brainstorms in Autonomous Mode when no user is present. Intercepts before the brainstorming chain hands off to writing-plans — this skill owns the…

anombyte93/prd-taskmaster · 92 tokens

ai-shaped-readiness-advisor

Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.

deanpeters/Product-Manager-Skills · 33 tokens

agent-orchestration-advisor

Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring. Use when a complex PM task should run as parallel specialized agents instead of one linear process.

deanpeters/Product-Manager-Skills · 40 tokens

company-intel

Research a company, industry, or competitor set using web search and seven analytical lenses. Use when you need structured intel that feeds downstream PM skills.

deanpeters/Product-Manager-Skills · 33 tokens