antigravity-skill-orchestrator

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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.

AI & Automation 39,227 stars 6374 forks Updated today MIT

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Skill Content

# 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 orchest...

Details

Author
sickn33
Repository
sickn33/antigravity-awesome-skills
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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