chore: sync repo state [ci skip]

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@@ -1,7 +1,7 @@
{
"name": "antigravity-awesome-skills",
"version": "9.7.0",
"description": "Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,361 supported skills.",
"description": "Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,362 supported skills.",
"author": {
"name": "sickn33 and contributors",
"url": "https://github.com/sickn33/antigravity-awesome-skills"

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@@ -2,7 +2,7 @@
Generated at: 2026-02-08T00:00:00.000Z
Total skills: 1375
Total skills: 1376
## architecture (88)
@@ -980,7 +980,7 @@ Total skills: 1375
| `yann-lecun-tecnico` | Sub-skill técnica de Yann LeCun. Cobre CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of Intelligence), Self-Supervise... | persona, cnn, jepa, self-supervised, pytorch | persona, cnn, jepa, self-supervised, pytorch, yann, lecun, tecnico, sub, skill, cnica, de |
| `youtube-summarizer` | Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks | video, summarization, transcription, youtube, content-analysis | video, summarization, transcription, youtube, content-analysis, summarizer, extract, transcripts, videos, generate, detailed, summaries |
## infrastructure (121)
## infrastructure (122)
| Skill | Description | Tags | Triggers |
| --- | --- | --- | --- |
@@ -1073,6 +1073,7 @@ Total skills: 1375
| `ml-engineer` | Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. | ml | ml, engineer, pytorch, tensorflow, frameworks, implements, model, serving, feature, engineering, testing, monitoring |
| `ml-pipeline-workflow` | Complete end-to-end MLOps pipeline orchestration from data preparation through model deployment. | ml, pipeline | ml, pipeline, complete, mlops, orchestration, data, preparation, through, model, deployment |
| `moodle-external-api-development` | This skill guides you through creating custom external web service APIs for Moodle LMS, following Moodle's external API framework and coding standards. | moodle, external, api | moodle, external, api, development, skill, guides, through, creating, custom, web, apis, lms |
| `multi-agent-task-orchestrator` | Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring | multi-agent, orchestration, task-routing, quality-gates, anti-duplication | multi-agent, orchestration, task-routing, quality-gates, anti-duplication, multi, agent, task, orchestrator, route, tasks, specialized |
| `multi-cloud-architecture` | Decision framework and patterns for architecting applications across AWS, Azure, and GCP. | multi, cloud, architecture | multi, cloud, architecture, decision, framework, architecting, applications, aws, azure, gcp |
| `native-data-fetching` | Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline supp... | native, data, fetching | native, data, fetching, implementing, debugging, any, network, request, api, call, covers, fetch |
| `observability-monitoring-monitor-setup` | You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing... | observability, monitoring, monitor, setup | observability, monitoring, monitor, setup, specializing, implementing, solutions, set, up, metrics, collection, distributed |

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@@ -1,13 +1,13 @@
<!-- registry-sync: version=9.7.0; skills=1375; stars=30840; updated_at=2026-04-05T19:28:04+00:00 -->
# 🌌 Antigravity Awesome Skills: 1,375+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More
<!-- registry-sync: version=9.7.0; skills=1376; stars=30840; updated_at=2026-04-05T19:28:04+00:00 -->
# 🌌 Antigravity Awesome Skills: 1,376+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More
> **Installable GitHub library of 1,375+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.**
> **Installable GitHub library of 1,376+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.**
Antigravity Awesome Skills is an installable GitHub library and npm installer for reusable `SKILL.md` playbooks. It is designed for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, Kiro, OpenCode, GitHub Copilot, and other AI coding assistants that benefit from structured operating instructions. Instead of collecting one-off prompt snippets, this repository gives you a searchable, installable catalog of skills, bundles, workflows, plugin-safe distributions, and practical docs that help agents perform recurring tasks with better context, stronger constraints, and clearer outputs.
You can use this repo to install a broad multi-tool skill library, start from role-based bundles, or jump into workflow-driven execution for planning, coding, debugging, testing, security review, infrastructure, product work, and growth tasks. The root README is intentionally a high-signal landing page: understand what the project is, install it quickly, choose the right tool path, and then follow deeper docs only when you need them.
**Start here:** [Star the repo](https://github.com/sickn33/antigravity-awesome-skills/stargazers) · [Install in 1 minute](#installation) · [Choose your tool](#choose-your-tool) · [Best skills by tool](#best-skills-by-tool) · [📚 Browse 1,375+ Skills](#browse-1375-skills) · [Bundles](docs/users/bundles.md) · [Workflows](docs/users/workflows.md) · [Plugins for Claude Code and Codex](docs/users/plugins.md)
**Start here:** [Star the repo](https://github.com/sickn33/antigravity-awesome-skills/stargazers) · [Install in 1 minute](#installation) · [Choose your tool](#choose-your-tool) · [Best skills by tool](#best-skills-by-tool) · [📚 Browse 1,376+ Skills](#browse-1376-skills) · [Bundles](docs/users/bundles.md) · [Workflows](docs/users/workflows.md) · [Plugins for Claude Code and Codex](docs/users/plugins.md)
[![GitHub stars](https://img.shields.io/badge/⭐%2031%2C000%2B%20Stars-gold?style=for-the-badge)](https://github.com/sickn33/antigravity-awesome-skills/stargazers)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)
@@ -28,7 +28,7 @@ You can use this repo to install a broad multi-tool skill library, start from ro
- **Installable, not just inspirational**: use `npx antigravity-awesome-skills` to put skills where your tool expects them.
- **Built for major agent workflows**: Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, Kiro, OpenCode, Copilot, and more.
- **Broad coverage with real utility**: 1,375+ skills across development, testing, security, infrastructure, product, and marketing.
- **Broad coverage with real utility**: 1,376+ skills across development, testing, security, infrastructure, product, and marketing.
- **Faster onboarding**: bundles and workflows reduce the time from "I found this repo" to "I used my first skill".
- **Useful whether you want breadth or curation**: browse the full catalog, start with top bundles, or compare alternatives before installing.
@@ -127,7 +127,7 @@ Start with [Bundles](docs/users/bundles.md) for role-based recommendations, [Wor
## Best Skills By Tool
If you want a faster answer than "browse all 1,375+ skills", start with a tool-specific guide:
If you want a faster answer than "browse all 1,376+ skills", start with a tool-specific guide:
- **[Claude Code skills](docs/users/claude-code-skills.md)**: install paths, starter skills, prompt examples, and plugin marketplace flow.
- **[Cursor skills](docs/users/cursor-skills.md)**: best starter skills for `.cursor/skills/`, UI-heavy work, and pair-programming flows.
@@ -183,7 +183,7 @@ If Antigravity starts hitting context limits with too many active skills, the ac
If you use OpenCode or another `.agents/skills` host, prefer a reduced install up front instead of copying the full library into a context-sensitive runtime. The installer now supports `--risk`, `--category`, and `--tags` so you can keep the installed set narrow.
## Browse 1,375+ Skills
## Browse 1,376+ Skills
Use the root repo as a landing page, then jump into the deeper surface that matches your intent.
@@ -530,6 +530,8 @@ We officially thank the following contributors for their help in making this rep
- [@Elkidogz](https://github.com/Elkidogz)
- [@qcwssss](https://github.com/qcwssss)
- [@spideyashith](https://github.com/spideyashith)
- [@milkomida77](https://github.com/milkomida77)
- [@tomjwxf](https://github.com/tomjwxf)
## Star History

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@@ -6,6 +6,12 @@
<changefreq>daily</changefreq>
<priority>1.0</priority>
</url>
<url>
<loc>http://localhost/skill/multi-agent-task-orchestrator</loc>
<lastmod>2026-04-06</lastmod>
<changefreq>weekly</changefreq>
<priority>0.7</priority>
</url>
<url>
<loc>http://localhost/skill/python-pptx-generator</loc>
<lastmod>2026-04-06</lastmod>
@@ -240,10 +246,4 @@
<changefreq>weekly</changefreq>
<priority>0.7</priority>
</url>
<url>
<loc>http://localhost/skill/akf-trust-metadata</loc>
<lastmod>2026-04-06</lastmod>
<changefreq>weekly</changefreq>
<priority>0.7</priority>
</url>
</urlset>

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@@ -18653,6 +18653,28 @@
"reasons": []
}
},
{
"id": "multi-agent-task-orchestrator",
"path": "skills/multi-agent-task-orchestrator",
"category": "agent-orchestration",
"name": "multi-agent-task-orchestrator",
"description": "Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring",
"risk": "safe",
"source": "community",
"date_added": "2026-04-09",
"plugin": {
"targets": {
"codex": "supported",
"claude": "supported"
},
"setup": {
"type": "none",
"summary": "",
"docs": null
},
"reasons": []
}
},
{
"id": "multi-cloud-architecture",
"path": "skills/multi-cloud-architecture",

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@@ -95,6 +95,7 @@
"machine-learning-pipeline": "machine-learning-ops-ml-pipeline",
"microsoft-azure-dotnet": "microsoft-azure-webjobs-extensions-authentication-events-dotnet",
"moodle-external-development": "moodle-external-api-development",
"multi-agent-orchestrator": "multi-agent-task-orchestrator",
"multi-platform-apps": "multi-platform-apps-multi-platform",
"observability-monitoring-setup": "observability-monitoring-monitor-setup",
"observability-monitoring-implement": "observability-monitoring-slo-implement",

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@@ -723,6 +723,7 @@
"memory-forensics",
"ml-engineer",
"ml-pipeline-workflow",
"multi-agent-task-orchestrator",
"observability-engineer",
"observability-monitoring-monitor-setup",
"observability-monitoring-slo-implement",

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@@ -1,6 +1,6 @@
{
"generatedAt": "2026-02-08T00:00:00.000Z",
"total": 1375,
"total": 1376,
"skills": [
{
"id": "00-andruia-consultant",
@@ -20867,6 +20867,34 @@
],
"path": "skills/multi-agent-patterns/SKILL.md"
},
{
"id": "multi-agent-task-orchestrator",
"name": "multi-agent-task-orchestrator",
"description": "Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring",
"category": "infrastructure",
"tags": [
"multi-agent",
"orchestration",
"task-routing",
"quality-gates",
"anti-duplication"
],
"triggers": [
"multi-agent",
"orchestration",
"task-routing",
"quality-gates",
"anti-duplication",
"multi",
"agent",
"task",
"orchestrator",
"route",
"tasks",
"specialized"
],
"path": "skills/multi-agent-task-orchestrator/SKILL.md"
},
{
"id": "multi-cloud-architecture",
"name": "multi-cloud-architecture",

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@@ -16216,6 +16216,25 @@
},
"runtime_files": []
},
{
"id": "multi-agent-task-orchestrator",
"path": "skills/multi-agent-task-orchestrator",
"targets": {
"codex": "supported",
"claude": "supported"
},
"setup": {
"type": "none",
"summary": "",
"docs": null
},
"reasons": [],
"blocked_reasons": {
"codex": [],
"claude": []
},
"runtime_files": []
},
{
"id": "multi-cloud-architecture",
"path": "skills/multi-cloud-architecture",
@@ -26287,10 +26306,10 @@
}
],
"summary": {
"total_skills": 1375,
"total_skills": 1376,
"supported": {
"codex": 1346,
"claude": 1361
"codex": 1347,
"claude": 1362
},
"blocked": {
"codex": 29,

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@@ -1,9 +1,9 @@
---
title: Jetski/Cortex + Gemini Integration Guide
description: "Use antigravity-awesome-skills with Jetski/Cortex without hitting context-window overflow with 1.375+ skills."
description: "Use antigravity-awesome-skills with Jetski/Cortex without hitting context-window overflow with 1.376+ skills."
---
# Jetski/Cortex + Gemini: safe integration with 1,1.375+ skills
# Jetski/Cortex + Gemini: safe integration with 1,1.376+ skills
This guide shows how to integrate the `antigravity-awesome-skills` repository with an agent based on **Jetski/Cortex + Gemini** (or similar frameworks) **without exceeding the model context window**.
@@ -23,7 +23,7 @@ Never do:
- concatenate all `SKILL.md` content into a single system prompt;
- re-inject the entire library for **every** request.
With over 1,1.375 skills, this approach fills the context window before user messages are even added, causing truncation.
With over 1,1.376 skills, this approach fills the context window before user messages are even added, causing truncation.
---

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@@ -20,7 +20,7 @@ This example shows one way to integrate **antigravity-awesome-skills** with a Je
- How to enforce a **maximum number of skills per turn** via `maxSkillsPerTurn`.
- How to choose whether to **truncate or error** when too many skills are requested via `overflowBehavior`.
This pattern avoids context overflow when you have 1,375+ skills installed.
This pattern avoids context overflow when you have 1,376+ skills installed.
---

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@@ -6,7 +6,7 @@ This document keeps the repository's GitHub-facing discovery copy aligned with t
Preferred positioning:
> Installable GitHub library of 1,375+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.
> Installable GitHub library of 1,376+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.
Key framing:
@@ -20,7 +20,7 @@ Key framing:
Preferred description:
> Installable GitHub library of 1,375+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.
> Installable GitHub library of 1,376+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.
Preferred homepage:
@@ -28,7 +28,7 @@ Preferred homepage:
Preferred social preview:
- use a clean preview image that says `1,375+ Agentic Skills`;
- use a clean preview image that says `1,376+ Agentic Skills`;
- mention Claude Code, Cursor, Codex CLI, and Gemini CLI;
- avoid dense text and tiny logos that disappear in social cards.

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@@ -69,7 +69,7 @@ For manual updates, you need:
The update process refreshes:
- Skills index (`skills_index.json`)
- Web app skills data (`apps\web-app\public\skills.json`)
- All 1,375+ skills from the skills directory
- All 1,376+ skills from the skills directory
## When to Update

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@@ -673,4 +673,4 @@ Found a skill that should be in a bundle? Or want to create a new bundle? [Open
---
_Last updated: March 2026 | Total Skills: 1,375+ | Total Bundles: 37_
_Last updated: March 2026 | Total Skills: 1,376+ | Total Bundles: 37_

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@@ -12,7 +12,7 @@ Install the library into Claude Code, then invoke focused skills directly in the
## Why use this repo for Claude Code
- It includes 1,375+ skills instead of a narrow single-domain starter pack.
- It includes 1,376+ skills instead of a narrow single-domain starter pack.
- It supports the standard `.claude/skills/` path and the Claude Code plugin marketplace flow.
- It also ships generated bundle plugins so teams can install focused packs like `Essentials` or `Security Developer` from the marketplace metadata.
- It includes onboarding docs, bundles, and workflows so new users do not need to guess where to begin.

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@@ -12,7 +12,7 @@ Install into the Gemini skills path, then ask Gemini to apply one skill at a tim
- It installs directly into the expected Gemini skills path.
- It includes both core software engineering skills and deeper agent/LLM-oriented skills.
- It helps new users get started with bundles and workflows rather than forcing a cold start from 1,375+ files.
- It helps new users get started with bundles and workflows rather than forcing a cold start from 1,376+ files.
- It is useful whether you want a broad internal skill library or a single repo to test many workflows quickly.
## Install Gemini CLI Skills

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@@ -18,7 +18,7 @@ Kiro is AWS's agentic AI IDE that combines:
Kiro's agentic capabilities are enhanced by skills that provide:
- **Domain expertise** across 1,375+ specialized areas
- **Domain expertise** across 1,376+ specialized areas
- **Best practices** from Anthropic, OpenAI, Google, Microsoft, and AWS
- **Workflow automation** for common development tasks
- **AWS-specific patterns** for serverless, infrastructure, and cloud architecture

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@@ -14,7 +14,7 @@ If you came in through a **Claude Code** or **Codex** plugin instead of a full l
When you ran `npx antigravity-awesome-skills` or cloned the repository, you:
**Downloaded 1,375+ skill files** to your computer (default: `~/.gemini/antigravity/skills/`; or a custom path like `~/.agent/skills/` if you used `--path`)
**Downloaded 1,376+ skill files** to your computer (default: `~/.gemini/antigravity/skills/`; or a custom path like `~/.agent/skills/` if you used `--path`)
**Made them available** to your AI assistant
**Did NOT enable them all automatically** (they're just sitting there, waiting)
@@ -34,7 +34,7 @@ Bundles are **curated groups** of skills organized by role. They help you decide
**Analogy:**
- You installed a toolbox with 1,375+ tools (✅ done)
- You installed a toolbox with 1,376+ tools (✅ done)
- Bundles are like **labeled organizer trays** saying: "If you're a carpenter, start with these 10 tools"
- You can either **pick skills from the tray** or install that tray as a focused marketplace bundle plugin
@@ -212,7 +212,7 @@ Let's actually use a skill right now. Follow these steps:
## Step 5: Picking Your First Skills (Practical Advice)
Don't try to use all 1,375+ skills at once. Here's a sensible approach:
Don't try to use all 1,376+ skills at once. Here's a sensible approach:
If you want a tool-specific starting point before choosing skills, use:
@@ -343,7 +343,7 @@ Usually no, but if your AI doesn't recognize a skill:
### "Can I load all skills into the model at once?"
No. Even though you have 1,375+ skills installed locally, you should **not** concatenate every `SKILL.md` into a single system prompt or context block.
No. Even though you have 1,376+ skills installed locally, you should **not** concatenate every `SKILL.md` into a single system prompt or context block.
The intended pattern is:

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@@ -34,7 +34,7 @@ antigravity-awesome-skills/
├── 📄 CONTRIBUTING.md ← Contributor workflow
├── 📄 CATALOG.md ← Full generated catalog
├── 📁 skills/ ← 1,375+ skills live here
├── 📁 skills/ ← 1,376+ skills live here
│ │
│ ├── 📁 brainstorming/
│ │ └── 📄 SKILL.md ← Skill definition
@@ -47,7 +47,7 @@ antigravity-awesome-skills/
│ │ └── 📁 2d-games/
│ │ └── 📄 SKILL.md ← Nested skills also supported
│ │
│ └── ... (1,375+ total)
│ └── ... (1,376+ total)
├── 📁 apps/
│ └── 📁 web-app/ ← Interactive browser
@@ -100,7 +100,7 @@ antigravity-awesome-skills/
```
┌─────────────────────────┐
│ 1,375+ SKILLS │
│ 1,376+ SKILLS │
└────────────┬────────────┘
┌────────────────────────┼────────────────────────┐
@@ -201,7 +201,7 @@ If you want a workspace-style manual install instead, cloning into `.agent/skill
│ ├── 📁 brainstorming/ │
│ ├── 📁 stripe-integration/ │
│ ├── 📁 react-best-practices/ │
│ └── ... (1,375+ total) │
│ └── ... (1,376+ total) │
└─────────────────────────────────────────┘
```

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@@ -1,7 +1,7 @@
{
"name": "antigravity-awesome-skills",
"version": "9.7.0",
"description": "1,375+ agentic skills for Claude Code, Gemini CLI, Cursor, Antigravity & more. Installer CLI.",
"description": "1,376+ agentic skills for Claude Code, Gemini CLI, Cursor, Antigravity & more. Installer CLI.",
"license": "MIT",
"scripts": {
"validate": "node tools/scripts/run-python.js tools/scripts/validate_skills.py",

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@@ -1,7 +1,7 @@
{
"name": "antigravity-awesome-skills",
"version": "9.7.0",
"description": "Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,361 supported skills.",
"description": "Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,362 supported skills.",
"author": {
"name": "sickn33 and contributors",
"url": "https://github.com/sickn33/antigravity-awesome-skills"

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@@ -0,0 +1,157 @@
---
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
## 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
## Related Skills
- `@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

View File

@@ -19,7 +19,7 @@
"skills": "./skills/",
"interface": {
"displayName": "Antigravity Awesome Skills",
"shortDescription": "1,346 plugin-safe skills for coding, security, product, and ops workflows.",
"shortDescription": "1,347 plugin-safe skills for coding, security, product, and ops workflows.",
"longDescription": "Install a plugin-safe Codex distribution of Antigravity Awesome Skills. Skills that still need hardening or target-specific setup remain available in the repo but are excluded from this plugin.",
"developerName": "sickn33 and contributors",
"category": "Productivity",

View File

@@ -0,0 +1,157 @@
---
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
## 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
## Related Skills
- `@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

View File

@@ -18653,6 +18653,28 @@
"reasons": []
}
},
{
"id": "multi-agent-task-orchestrator",
"path": "skills/multi-agent-task-orchestrator",
"category": "agent-orchestration",
"name": "multi-agent-task-orchestrator",
"description": "Route tasks to specialized AI agents with anti-duplication, quality gates, and 30-minute heartbeat monitoring",
"risk": "safe",
"source": "community",
"date_added": "2026-04-09",
"plugin": {
"targets": {
"codex": "supported",
"claude": "supported"
},
"setup": {
"type": "none",
"summary": "",
"docs": null
},
"reasons": []
}
},
{
"id": "multi-cloud-architecture",
"path": "skills/multi-cloud-architecture",