New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Antigravity Skill Orchestrator

by sickn33 in sickn33/agentic-awesome-skills

A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.

MITAuto-check passedAgent Workflows

Install Antigravity Skill Orchestrator

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill antigravity-skill-orchestrator -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills antigravity-skill-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/antigravity-skill-orchestrator .claude/skills/antigravity-skill-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
antigravity-skill-orchestrator
GitHub stars
47k
Used in
2 other repos
Token cost
~1.9k tokens
SKILL.md length
878 words
Files
2
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.

  • Works in 4 steps: Task Evaluation & Guardrail Check → Retrieve Past Knowledge → Discover and Select Skills → …
  • Tasks that involve Agent memory
  • SKILL.md covers Overview, When to Use This Skill, Core Concepts and Step-by-Step Guide, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Antigravity Skill Orchestrator is an agent skill from sickn33/agentic-awesome-skills. A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).

It sits in Agent Workflows, covering Agent memory. It works with Model Context Protocol. 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 Agent memory

Example prompts

  • “/antigravity-skill-orchestrator”

Requirements

  • Node.js

Workflow steps

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

  1. Task Evaluation & Guardrail Check
  2. Retrieve Past Knowledge
  3. Discover and Select Skills
  4. Apply Skills and Track the Combination

What it can do on your machine

Read from SKILL.md and the folder at commit b84d35a. 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 javascript).

    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

Antigravity Skill Orchestrator loads about 1.9k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 878 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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 b84d35a, republished under its MIT licence (© sickn33). 878 words, ~1,878 tokens.

Download SKILL.mdSave it as .claude/skills/antigravity-skill-orchestrator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
antigravity-skill-orchestrator
description
A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.
category
meta
risk
safe
source
community
tags
[orchestration, meta-skill, agent-memory, task-evaluation]
date_added
2026-03-13

antigravity-skill-orchestrator

Overview

The skill-orchestrator is a meta-skill designed to enhance the AI agent's ability to tackle complex problems. It acts as an intelligent coordinator that first evaluates the complexity of a user's request. Based on that evaluation, it determines if specialized skills are needed. If they are, it selects the right combination of skills, explicitly tracks these combinations using @agent-memory-mcp for future reference, and guides the agent through the execution process. Crucially, it includes strict guardrails to prevent the unnecessary use of specialized skills for simple tasks that can be solved with baseline capabilities.

When to Use This Skill

  • Use when tackling a complex, multi-step problem that likely requires multiple domains of expertise.
  • Use when you are unsure which specific skills are best suited for a given user request, and need to discover them from the broader ecosystem.
  • Use when the user explicitly asks to "orchestrate", "combine skills", or "use the best tools for the job" on a significant task.
  • Use when you want to look up previously successful combinations of skills for a specific type of problem.

Core Concepts

Task Evaluation Guardrails

Not every task requires a specialized skill. For straightforward issues (e.g., small CSS fixes, simple script writing, renaming a variable), DO NOT USE specialized skills. Over-engineering simple tasks wastes tokens and time.

Additionally, the orchestrator is strictly forbidden from creating new skills. Its sole purpose is to combine and use existing skills provided by the community or present in the current environment.

Before invoking any skills, evaluate the task:

  1. Is the task simple/contained? Solve it directly using the agent's ordinary file editing, search, and terminal capabilities available in the current environment.
  2. Is the task complex/multi-domain? Only then should you proceed to orchestrate skills.
Skill Selection & Combinations

When a task is deemed complex, identify the necessary domains (e.g., frontend, database, deployment). Search available skills in the current environment to find the most relevant ones. If the required skills are not found locally, consult the master skill catalog.

Master Skill Catalog

The Antigravity ecosystem maintains a master catalog of highly curated skills at https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/CATALOG.md. When local skills are insufficient, fetch this catalog to discover appropriate skills across the 9 primary categories:

  • architecture
  • business
  • data-ai
  • development
  • general
  • infrastructure
  • security
  • testing
  • workflow
Memory Integration (@agent-memory-mcp)

To build institutional knowledge, the orchestrator relies on the agent-memory-mcp skill to record and retrieve successful skill combinations.

Step-by-Step Guide

1. Task Evaluation & Guardrail Check

[Triggered when facing a new user request that might need skills]

  1. Read the user's request.
  2. Ask yourself: "Can I solve this efficiently with just basic file editing and terminal commands?"
  3. If YES: Proceed without invoking specialized skills. Stop the orchestration here.
  4. If NO: Proceed to step 2.
2. Retrieve Past Knowledge

[Triggered if the task is complex]

  1. Use the memory_search tool provided by agent-memory-mcp to search for similar past tasks.
    • Example query: memory_search({ query: "skill combination for react native and firebase", type: "skill_combination" })
  2. If a working combination exists, read the details using memory_read.
  3. If no relevant memory exists, proceed to Step 3.
Show full SKILL.md (368 more words)Show less
3. Discover and Select Skills

[Triggered if no past knowledge covers this task]

  1. Analyze the core requirements (e.g., "needs a React UI, a Node.js backend, and a PostgreSQL database").
  2. Query the locally available skills using the current environment's skill list or equivalent discovery mechanism to find the best match for each requirement.
  3. If local skills are insufficient, fetch the master catalog with the web or command-line retrieval tools available in the current environment: https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/CATALOG.md.
  4. Scan the catalog's 9 main categories to identify the appropriate skills to bring into the current context.
  5. Select the minimal set of skills needed. Do not over-select.
4. Apply Skills and Track the Combination

[Triggered after executing the task using the selected skills]

  1. Assume the task was completed successfully using a new combination of skills (e.g., @react-patterns + @nodejs-backend-patterns + @postgresql).
  2. Record this combination for future use using memory_write from agent-memory-mcp.
    • Ensure the type is skill_combination.
    • Provide a descriptive key and content detailing why these skills worked well together.

Examples

Example 1: Handling a Simple Task (The Guardrail in Action)

User Request: "Change the color of the submit button in index.css to blue." Action: The skill orchestrator evaluates the task. It determines this is a "simple/contained" task. It does not invoke specialized skills. It directly edits index.css.

Example 2: Recording a New Skill Combination
javascript
// Using the agent-memory-mcp tool after successfully building a complex feature
memory_write({ 
  key: "combination-ecommerce-checkout", 
  type: "skill_combination", 
  content: "For e-commerce checkouts, using @stripe-integration combined with @react-state-management and @postgresql effectively handles the full flow from UI state to payment processing to order recording.",
  tags: ["ecommerce", "checkout", "stripe", "react"]
})
Example 3: Retrieving a Combination
javascript
// At the start of a new e-commerce task
memory_search({ 
  query: "ecommerce checkout", 
  type: "skill_combination" 
})
// Returns the key "combination-ecommerce-checkout", which you then read:
memory_read({ key: "combination-ecommerce-checkout" })

Best Practices

  • ✅ Do: Always evaluate task complexity before looking for skills.
  • ✅ Do: Keep the number of orchestrated skills as small as possible.
  • ✅ Do: Use highly descriptive keys when running memory_write so they are easy to search later.
  • ❌ Don't: Use this skill for simple bug fixes or UI tweaks.
  • ❌ Don't: Combine skills that have overlapping and conflicting instructions without a clear plan to resolve the conflict.
  • ❌ Don't: Attempt to construct, generate, or create new skills. Only combine what is available.
  • @agent-memory-mcp - Essential for this skill to function. Provides the persistent storage for skill combinations.

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

SKILL.md and 1 other file in skills/antigravity-skill-orchestrator of sickn33/agentic-awesome-skills.

  • SKILL.md
  • README.md

Open the folder on GitHubat commit b84d35a

Used in 2 other repositories

We found 11 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

Antigravity Skill 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.

Antigravity Skill Orchestrator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Antigravity Skill Orchestrator this skillsickn33/agentic-awesome-skills47k2 repos~1.9kAutomated safety check: PassMIT
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
MemPalace Setup and OperationMemPalace/mempalace59k—~2.2kAutomated safety check: PassMIT
agentmemory Setup and Diagnosticsrohitg00/agentmemory29k—~1kAutomated safety check: NotesApache-2.0
Claude-Mem Install for Grok Botthedotmack/claude-mem99k—~440Automated safety check: PassApache-2.0
Qmdbreferrari/obsidian-mind5k—~1.7kAutomated safety check: PassMIT

Similar skills

  • MemPalace Memory Search

    MemPalace/mempalace

    Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.

    59k GitHub stars~1.4k tokensUpdated today
    Agent WorkflowsAuto-check passed

  • MemPalace Setup and Operation

    MemPalace/mempalace

    Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.

    59k GitHub stars~2.2k tokensUpdated today
    Agent WorkflowsAuto-check passed

  • agentmemory Setup and Diagnostics

    rohitg00/agentmemory

    Sets up and troubleshoots a local agentmemory install, covering the MCP connection, environment variables, ports, authentication and optional feature flags.

    29k GitHub stars~1k tokensUpdated today
    Agent WorkflowsAuto-check: notes

  • Claude-Mem Install for Grok Bot

    thedotmack/claude-mem

    Use this when setting up claude-mem on Grok Bot: local worker plus CMEM Pro observer (default), optional host-login observer, or remote cmem.ai. No Cursor…

    99k GitHub stars~440 tokensUpdated yesterday
    Agent WorkflowsAuto-check passed

  • Qmd

    breferrari/obsidian-mind

    Search the vault using QMD semantic search. An agent skill from breferrari/obsidian-mind.

    5k GitHub stars~1.7k tokensUpdated 4 days ago
    Agent WorkflowsAuto-check passed

  • Agent Memory

    tigerless-labs/agent-memory

    Read and write the shared long-term memory store. An agent skill from tigerless-labs/agent-memory.

    3.4k GitHub stars~1.3k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed

More from sickn33/agentic-awesome-skills

All 1,497 skills in this repo

  • Liuguang Banlan UI

    sickn33/agentic-awesome-skills

    Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

  • User Thoughts Memory

    sickn33/agentic-awesome-skills

    Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.

    47k GitHub starsUsed in 1 repo~2.5k tokens
    Auto-check passed

  • Using LWC Memory and Graphs

    sickn33/agentic-awesome-skills

    Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.

    47k GitHub starsUsed in 1 repo~2k tokens
    Auto-check passed

  • Find Complementary Founders

    sickn33/agentic-awesome-skills

    Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.

    47k GitHub starsUsed in 1 repo~4.8k tokens
    Auto-check passed

  • Whatsapp Cloud API

    sickn33/agentic-awesome-skills

    Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 2 repos~4.5k tokens
    Auto-check passed

  • Cline Pilot

    sickn33/agentic-awesome-skills

    Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.

    47k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Works with

Categories

Questions about Antigravity Skill Orchestrator

What does Antigravity Skill Orchestrator do?

A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks. Antigravity Skill Orchestrator is an agent skill from sickn33/agentic-awesome-skills. A meta-skill that understands task requirements, dynamically selects appropriate skills, tracks successful skill combinations using agent-memory-mcp, and prevents skill overuse for simple tasks.

When should I use Antigravity Skill Orchestrator?

Antigravity Skill Orchestrator fits situations like: tasks that involve Agent memory.

How do I install Antigravity Skill Orchestrator in Claude Code?

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

How do I install Antigravity Skill Orchestrator in Codex?

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

Can I use Antigravity Skill 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 antigravity-skill-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/antigravity-skill-orchestrator, .gemini/skills/antigravity-skill-orchestrator, .github/skills/antigravity-skill-orchestrator and .opencode/skills/antigravity-skill-orchestrator in your project.

What does Antigravity Skill Orchestrator need to run?

SKILL.md names no scripts, command-line tools or credentials: Antigravity Skill Orchestrator is instructions for the agent only. Our summary lists: Node.js.

Does Antigravity Skill 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 Antigravity Skill 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 Antigravity Skill Orchestrator use?

Antigravity Skill 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 Antigravity Skill Orchestrator use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 Antigravity Skill Orchestrator?

Skills that share tags, products or a category with Antigravity Skill Orchestrator: MemPalace Memory Search (MemPalace/mempalace, 59k stars), MemPalace Setup and Operation (MemPalace/mempalace, 59k stars), agentmemory Setup and Diagnostics (rohitg00/agentmemory, 29k stars) and Claude-Mem Install for Grok Bot (thedotmack/claude-mem, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Antigravity Skill Orchestrator?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,405 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 9, 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.