Add visible FAQ and concepts content, strengthen tool-specific integration guides, and publish a dedicated skills-vs-MCP explainer. Extend homepage SEO metadata and JSON-LD so the GitHub Pages catalog better reflects the repository's real positioning and common user questions.
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Skills vs MCP Tools
If you are trying to understand the difference between Antigravity skills and MCP tools, the short version is:
- Skills are reusable
SKILL.mdplaybooks that tell an AI assistant how to execute a workflow. - MCP tools are integrations or callable capabilities that let the assistant interact with external systems.
The two are complementary, not competing.
What a skill does
A skill gives the model better instructions for a repeated task such as:
- planning a feature
- reviewing code
- running a security audit
- writing a README
- debugging a failing test suite
In practice, a skill improves the assistant's decision-making, structure, and process for a task.
Example:
@brainstorminghelps the model clarify requirements before implementation.@lint-and-validatehelps the model run the right quality checks before claiming success.
What an MCP tool does
An MCP tool gives the model a capability it would not otherwise have, such as:
- reading from a database
- calling GitHub APIs
- fetching docs from a service
- creating calendar events
- querying an external system
In practice, an MCP tool expands what the assistant can do in the world.
The easiest mental model
Use this rule:
- Skills tell the assistant how to work.
- MCP tools tell the assistant what systems it can touch.
If you only install tools, the assistant may have access but still behave inconsistently.
If you only install skills, the assistant may know the workflow but still lack the capability to reach the external system it needs.
Together, they are much stronger.
Which one should you start with?
Start with skills if:
- you want better planning, coding, debugging, testing, or review behavior immediately
- you are working mostly in local files and terminal flows
- you want reusable playbooks before adding more integrations
Start with MCP tools if:
- your main blocker is access to external systems
- you need the model to call APIs, query services, or interact with hosted platforms
- you already like the model's workflow quality, but need more reach
Use both when:
- you want reliable workflows plus external capabilities
- you are building agent systems, internal tooling, or multi-step operational flows
How this repo fits in
Antigravity Awesome Skills is primarily a skill library:
- installable
SKILL.mdplaybooks - bundles for role-based starting points
- workflows for ordered execution patterns
- tool-specific guides for Claude Code, Cursor, Codex CLI, Gemini CLI, and others
Many skills in this repo also explain how to work with MCP, APIs, and other integrations, but the repository itself is centered on reusable workflow guidance rather than acting as an MCP server.