Agent skill

Multi Agent Task Orchestrator

by sickn33 in sickn33/agentic-awesome-skills

Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring

MITAuto-check passedTesting & QA

Install Multi Agent Task Orchestrator

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill multi-agent-task-orchestrator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills multi-agent-task-orchestrator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi-agent-task-orchestrator .claude/skills/multi-agent-task-orchestrator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
multi-agent-task-orchestrator
GitHub stars
47k
Used in
2 other repos
Token cost
~1.5k tokens
SKILL.md length
390 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring

  • Works in 5 steps: Define the Orchestrator Identity → Build a Task Registry → Route Tasks to Specialists → …
  • Tasks that involve Quality gates
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Multi Agent Task Orchestrator is an agent skill from sickn33/agentic-awesome-skills. Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Quality gates and Multi-agent orchestration. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Quality gates
  • Tasks that involve Multi-agent orchestration

Example prompts

  • “/multi-agent-task-orchestrator”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Define the Orchestrator Identity
  2. Build a Task Registry
  3. Route Tasks to Specialists
  4. Enforce Quality Gates
  5. Run 30-Minute Heartbeats

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Multi Agent Task Orchestrator loads about 1.5k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 390 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 390 words, ~1,466 tokens.

Download SKILL.mdSave it as .claude/skills/multi-agent-task-orchestrator/SKILL.md (or your agent's skills folder).
name
multi-agent-task-orchestrator
description
Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring
category
agent-orchestration
risk
safe
source
community
source_repo
milkomida77/guardian-agent-prompts
source_type
community
date_added
2026-04-09
author
milkomida77
tags
multi-agent, orchestration, task-routing, quality-gates, anti-duplication
tools
claude, cursor, gemini

Multi-Agent Task Orchestrator

Overview

A production-tested pattern for coordinating multiple AI agents through a single orchestrator. Instead of letting agents work independently (and conflict), one orchestrator decomposes tasks, routes them to specialists, prevents duplicate work, and verifies results before marking anything done. Battle-tested across 10,000+ tasks over 6 months.

When to Use This Skill

  • Use when you have 3+ specialized agents that need to coordinate on complex tasks
  • Use when agents are doing duplicate or conflicting work
  • Use when you need audit trails showing who did what and when
  • Use when agent output quality is inconsistent and needs verification gates

How It Works

Step 1: Define the Orchestrator Identity

The orchestrator must know what it IS and what it IS NOT. This prevents it from doing work instead of delegating:

You are the Task Orchestrator. You NEVER do specialized work yourself.
You decompose tasks, delegate to the right agent, prevent conflicts,
and verify quality before marking anything done.

WHAT YOU ARE NOT:
- NOT a code writer — delegate to code agents
- NOT a researcher — delegate to research agents
- NOT a tester — delegate to test agents

This "NOT-block" pattern reduces task drift by ~35% in production.

Step 2: Build a Task Registry

Before assigning work, check if anyone is already doing this task:

python
import sqlite3
from difflib import SequenceMatcher

def check_duplicate(description, threshold=0.55):
    conn = sqlite3.connect("task_registry.db")
    c = conn.cursor()
    c.execute("SELECT id, description, agent, status FROM tasks WHERE status IN ('pending', 'in_progress')")
    for row in c.fetchall():
        ratio = SequenceMatcher(None, description.lower(), row[1].lower()).ratio()
        if ratio >= threshold:
            return {"id": row[0], "description": row[1], "agent": row[2]}
    return None
Step 3: Route Tasks to Specialists

Use keyword scoring to match tasks to the best agent:

python
AGENTS = {
    "code-architect": ["code", "implement", "function", "bug", "fix", "refactor", "api"],
    "security-reviewer": ["security", "vulnerability", "audit", "cve", "injection"],
    "researcher": ["research", "compare", "analyze", "benchmark", "evaluate"],
    "doc-writer": ["document", "readme", "explain", "tutorial", "guide"],
    "test-engineer": ["test", "coverage", "unittest", "pytest", "spec"],
}

def route_task(description):
    scores = {}
    for agent, keywords in AGENTS.items():
        scores[agent] = sum(1 for kw in keywords if kw in description.lower())
    return max(scores, key=scores.get) if max(scores.values()) > 0 else "code-architect"
Step 4: Enforce Quality Gates

Agent output is a CLAIM. Test output is EVIDENCE.

After agent reports completion:
1. Were files actually modified? (git diff --stat)
2. Do tests pass? (npm test / pytest)
3. Were secrets introduced? (grep for API keys, tokens)
4. Did the build succeed? (npm run build)
5. Were only intended files touched? (scope check)

Mark done ONLY after ALL checks pass.
Step 5: Run 30-Minute Heartbeats
Every 30 minutes, ask:
1. "What have I DELEGATED in the last 30 minutes?"
2. If nothing → open the task backlog and assign the next task
3. Check for idle agents (no message in >30min on assigned task)
4. Relance idle agents or reassign their tasks

Examples

Example 1: Delegating a Code Task
[ORCHESTRATOR -> code-architect] TASK: Add rate limiting to /api/users
SCOPE: src/middleware/rate-limit.ts only
VERIFICATION: npm test -- --grep "rate-limit"
DEADLINE: 30 minutes
Example 2: Handling a Duplicate
User asks: "Fix the login bug"
Registry check: Task #47 "Fix authentication bug" is IN_PROGRESS by security-reviewer
Decision: SKIP — similar task already assigned (78% match)
Action: Notify user of existing task, wait for completion

Best Practices

  • Always define NOT-blocks for every agent (what they must refuse to do)
  • Use SQLite for the task registry (lightweight, no server needed)
  • Set similarity threshold at 55% for anti-duplication (lower = too many false positives)
  • Require evidence-based quality gates (not just agent claims)
  • Log every delegation with: task ID, agent, scope, deadline, verification command
Show full SKILL.md (131 more words)Show less

Common Pitfalls

  • Problem: Orchestrator starts doing work instead of delegating Solution: Add explicit NOT-blocks and role boundaries

  • Problem: Two agents modify the same file simultaneously Solution: Task registry with file-level locking and queue system

  • Problem: Agent claims "done" without actual changes Solution: Quality gate checks git diff before accepting completion

  • Problem: Tasks pile up without progress Solution: 30-minute heartbeat catches stale assignments and reassigns

  • @code-review - For reviewing code changes after delegation
  • @test-driven-development - For ensuring quality in agent output
  • @project-management - For tracking multi-agent project progress

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/multi-agent-task-orchestrator of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 2 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Multi Agent Task Orchestrator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Multi Agent Task Orchestrator compared with similar skills
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Agent Team OrchestrationaAAaqwq/AGI-Super-Team1053 repos~1.4kAutomated safety check: PassMIT
Team Coordinationbybren-llc/safe-agentic-workflow421—~1.9kAutomated safety check: NotesMIT
Cross-Platform Cloud Verificationwarpdotdev/warp65k1 repos~2.6kAutomated safety check: PassAGPL-3.0
Long Horizon Promptingguanyang/open-agent-hub9751 repos~6.4kAutomated safety check: PassMIT

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Questions about Multi Agent Task Orchestrator

What does Multi Agent Task Orchestrator do?

Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring. Multi Agent Task Orchestrator is an agent skill from sickn33/agentic-awesome-skills.

When should I use Multi Agent Task Orchestrator?

Multi Agent Task Orchestrator fits situations like: tasks that involve Quality gates; tasks that involve Multi-agent orchestration.

How do I install Multi Agent Task Orchestrator in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill multi-agent-task-orchestrator -a claude-code`. Or copy the skill folder (skills/multi-agent-task-orchestrator in sickn33/agentic-awesome-skills) into .claude/skills/multi-agent-task-orchestrator in your project. Claude Code loads it when a task matches its description.

How do I install Multi Agent Task Orchestrator in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill multi-agent-task-orchestrator -a codex`. Or copy the skill folder (skills/multi-agent-task-orchestrator in sickn33/agentic-awesome-skills) into .agents/skills/multi-agent-task-orchestrator in your project. Codex loads it when a task matches its description.

Can I use Multi Agent Task Orchestrator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill multi-agent-task-orchestrator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-agent-task-orchestrator, .gemini/skills/multi-agent-task-orchestrator, .github/skills/multi-agent-task-orchestrator and .opencode/skills/multi-agent-task-orchestrator in your project.

What does Multi Agent Task Orchestrator need to run?

SKILL.md names no scripts, command-line tools or credentials: Multi Agent Task Orchestrator is instructions for the agent only. Our summary lists: Python 3.

Does Multi Agent Task Orchestrator access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Multi Agent Task Orchestrator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Multi Agent Task Orchestrator use?

Multi Agent Task Orchestrator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Multi Agent Task Orchestrator use?

About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Multi Agent Task Orchestrator?

Skills that share tags, products or a category with Multi Agent Task Orchestrator: Prompt Generator (catlog22/Claude-Code-Workflow, 2.1k stars), Agent Team Orchestration (aAAaqwq/AGI-Super-Team, 105 stars), Team Coordination (bybren-llc/safe-agentic-workflow, 421 stars) and Cross-Platform Cloud Verification (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Multi Agent Task Orchestrator?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.