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Task Coordination Strategies

CommunityPopular
wshobson
task-coordination-strategies

Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.

Overview

Publisherwshobson
Repositoryagents
Skill nametask-coordination-strategies
Stars
39.8K
Forks
4.2K
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by wshobson on GitHub. Read the source before you install it.

Installation

Install the Task Coordination Strategies AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/wshobson/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/plugins/agent-teams/skills/task-coordination-strategies .claude/skills/task-coordination-strategies
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Task Coordination Strategies in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Task Coordination Strategies on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Task Coordination Strategies is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Task Coordination Strategies

Strategies for decomposing complex tasks into parallelizable units, designing dependency graphs, writing effective task descriptions, and monitoring workload across agent teams.

When to Use This Skill

  • Breaking down a complex task for parallel execution
  • Designing task dependency relationships (blockedBy/blocks)
  • Writing task descriptions with clear acceptance criteria
  • Monitoring and rebalancing workload across teammates
  • Identifying the critical path in a multi-task workflow

Task Decomposition Strategies

By Layer

Split work by architectural layer:

  • Frontend components
  • Backend API endpoints
  • Database migrations/models
  • Test suites

Best for: Full-stack features, vertical slices

By Component

Split work by functional component:

  • Authentication module
  • User profile module
  • Notification module

Best for: Microservices, modular architectures

By Concern

Split work by cross-cutting concern:

  • Security review
  • Performance review
  • Architecture review

Best for: Code reviews, audits

By File Ownership

Split work by file/directory boundaries:

  • src/components/ — Implementer 1
  • src/api/ — Implementer 2
  • src/utils/ — Implementer 3

Best for: Parallel implementation, conflict avoidance

Dependency Graph Design

Principles

  1. Minimize chain depth — Prefer wide, shallow graphs over deep chains
  2. Identify the critical path — The longest chain determines minimum completion time
  3. Use blockedBy sparingly — Only add dependencies that are truly required
  4. Avoid circular dependencies — Task A blocks B blocks A is a deadlock

Patterns

Independent (Best parallelism):

Task A ─┐
Task B ─┼─→ Integration
Task C ─┘

Sequential (Necessary dependencies):

Task A → Task B → Task C

Diamond (Mixed):

        ┌→ Task B ─┐
Task A ─┤          ├→ Task D
        └→ Task C ─┘

Using blockedBy/blocks

TaskCreate: { subject: "Build API endpoints" }         → Task #1
TaskCreate: { subject: "Build frontend components" }    → Task #2
TaskCreate: { subject: "Integration testing" }          → Task #3
TaskUpdate: { taskId: "3", addBlockedBy: ["1", "2"] }  → #3 waits for #1 and #2

Task Description Best Practices

Every task should include:

  1. Objective — What needs to be accomplished (1-2 sentences)
  2. Owned Files — Explicit list of files/directories this teammate may modify
  3. Requirements — Specific deliverables or behaviors expected
  4. Interface Contracts — How this work connects to other teammates' work
  5. Acceptance Criteria — How to verify the task is done correctly
  6. Scope Boundaries — What is explicitly out of scope

Template

## Objective
Build the user authentication API endpoints.

## Owned Files
- src/api/auth.ts
- src/api/middleware/auth-middleware.ts
- src/types/auth.ts (shared — read only, do not modify)

## Requirements
- POST /api/login — accepts email/password, returns JWT
- POST /api/register — creates new user, returns JWT
- GET /api/me — returns current user profile (requires auth)

## Interface Contract
- Import User type from src/types/auth.ts (owned by implementer-1)
- Export AuthResponse type for frontend consumption

## Acceptance Criteria
- All endpoints return proper HTTP status codes
- JWT tokens expire after 24 hours
- Passwords are hashed with bcrypt

## Out of Scope
- OAuth/social login
- Password reset flow
- Rate limiting

Workload Monitoring

Indicators of Imbalance

SignalMeaningAction
Teammate idle, others busyUneven distributionReassign pending tasks
Teammate stuck on one taskPossible blockerCheck in, offer help
All tasks blockedDependency issueResolve critical path first
One teammate has 3x othersOverloadedSplit tasks or reassign

Rebalancing Steps

  1. Call TaskList to assess current state
  2. Identify idle or overloaded teammates
  3. Use TaskUpdate to reassign tasks
  4. Use SendMessage to notify affected teammates
  5. Monitor for improved throughput

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Task Coordination Strategies AI skill do?

Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.

Why use Task Coordination Strategies on TypingMind?

Because you install it once and use it with any model. Task Coordination Strategies is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Task Coordination Strategies in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wshobson/agents/tree/main/plugins/agent-teams/skills/task-coordination-strategies. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Task Coordination Strategies?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Task Coordination Strategies?

As many as you like. As long as a model supports skills, you can use Task Coordination Strategies with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Task Coordination Strategies AI skill free?

Yes. It is published on GitHub by wshobson under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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