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docs(extensions): add Agent Skills support and mark feature as experimental (#16859)
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@@ -204,6 +204,23 @@ Slash commands provide meta-level control over the CLI itself.
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modify them as desired. Changes to some settings are applied immediately,
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while others require a restart.
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- [**`/skills`**](./skills.md)
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- **Description:** (Experimental) Manage Agent Skills, which provide on-demand
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expertise and specialized workflows.
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- **Sub-commands:**
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- **`list`**:
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- **Description:** List all discovered skills and their current status
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(enabled/disabled).
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- **`enable`**:
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- **Description:** Enable a specific skill by name.
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- **Usage:** `/skills enable <name>`
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- **`disable`**:
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- **Description:** Disable a specific skill by name.
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- **Usage:** `/skills disable <name>`
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- **`reload`**:
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- **Description:** Refresh the list of discovered skills from all tiers
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(workspace, user, and extensions).
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- **`/stats`**
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- **Description:** Display detailed statistics for the current Gemini CLI
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session, including token usage, cached token savings (when available), and
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@@ -29,6 +29,8 @@ overview of Gemini CLI, see the [main documentation page](../index.md).
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in an enterprise environment.
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- **[Sandboxing](./sandbox.md):** Isolate tool execution in a secure,
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containerized environment.
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- **[Agent Skills](./skills.md):** (Experimental) Extend the CLI with
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specialized expertise and procedural workflows.
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- **[Telemetry](./telemetry.md):** Configure observability to monitor usage and
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performance.
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- **[Token caching](./token-caching.md):** Optimize API costs by caching tokens.
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@@ -222,9 +222,45 @@ need this for extensions built to expose commands and prompts.
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Restart the CLI again. The model will now have the context from your `GEMINI.md`
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file in every session where the extension is active.
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## Step 6: Releasing your extension
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## (Optional) Step 6: Add an Agent Skill
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Once you are happy with your extension, you can share it with others. The two
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_Note: This is an experimental feature enabled via `experimental.skills`._
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[Agent Skills](../cli/skills.md) let you bundle specialized expertise and
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procedural workflows. Unlike `GEMINI.md`, which provides persistent context,
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skills are activated only when needed, saving context tokens.
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1. Create a `skills` directory and a subdirectory for your skill:
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```bash
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mkdir -p skills/security-audit
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```
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2. Create a `skills/security-audit/SKILL.md` file:
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```markdown
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---
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name: security-audit
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description:
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Expertise in auditing code for security vulnerabilities. Use when the user
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asks to "check for security issues" or "audit" their changes.
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---
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# Security Auditor
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You are an expert security researcher. When auditing code:
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1. Look for common vulnerabilities (OWASP Top 10).
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2. Check for hardcoded secrets or API keys.
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3. Suggest remediation steps for any findings.
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```
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Skills bundled with your extension are automatically discovered and can be
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activated by the model during a session when it identifies a relevant task.
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## Step 7: Release your extension
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Once you're happy with your extension, you can share it with others. The two
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primary ways of releasing extensions are via a Git repository or through GitHub
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Releases. Using a public Git repository is the simplest method.
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@@ -239,6 +275,7 @@ You've successfully created a Gemini CLI extension! You learned how to:
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- Add custom tools with an MCP server.
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- Create convenient custom commands.
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- Provide persistent context to the model.
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- Bundle specialized Agent Skills.
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- Link your extension for local development.
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From here, you can explore more advanced features and build powerful new
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@@ -2,10 +2,10 @@
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_This documentation is up-to-date with the v0.4.0 release._
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Gemini CLI extensions package prompts, MCP servers, and custom commands into a
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familiar and user-friendly format. With extensions, you can expand the
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capabilities of Gemini CLI and share those capabilities with others. They are
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designed to be easily installable and shareable.
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Gemini CLI extensions package prompts, MCP servers, Agent Skills, and custom
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commands into a familiar and user-friendly format. With extensions, you can
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expand the capabilities of Gemini CLI and share those capabilities with others.
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They're designed to be easily installable and shareable.
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To see examples of extensions, you can browse a gallery of
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[Gemini CLI extensions](https://geminicli.com/extensions/browse/).
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@@ -263,6 +263,40 @@ Would provide these commands:
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- `/deploy` - Shows as `[gcp] Custom command from deploy.toml` in help
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- `/gcs:sync` - Shows as `[gcp] Custom command from sync.toml` in help
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### Agent Skills
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_Note: This is an experimental feature enabled via `experimental.skills`._
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Extensions can bundle [Agent Skills](../cli/skills.md) to provide on-demand
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expertise and specialized workflows. To include skills in your extension, place
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them in a `skills/` subdirectory within the extension directory. Each skill must
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follow the [Agent Skills structure](../cli/skills.md#folder-structure),
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including a `SKILL.md` file.
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**Example**
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An extension named `security-toolkit` with the following structure:
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```
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.gemini/extensions/security-toolkit/
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├── gemini-extension.json
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└── skills/
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├── audit/
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│ ├── SKILL.md
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│ └── scripts/
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│ └── scan.py
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└── hardening/
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└── SKILL.md
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```
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Upon installation, these skills will be discovered by Gemini CLI and can be
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activated during a session when the model identifies a task matching their
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descriptions.
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Extension skills have the lowest precedence and will be overridden by user or
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workspace skills of the same name. They can be viewed and managed (enabled or
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disabled) using the [`/skills` command](../cli/skills.md#managing-skills).
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### Hooks
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Extensions can provide [hooks](../hooks/index.md) to intercept and customize
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@@ -56,6 +56,8 @@ This documentation is organized into the following sections:
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commands with `/model`.
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- **[Sandbox](./cli/sandbox.md):** Isolate tool execution in a secure,
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containerized environment.
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- **[Agent Skills](./cli/skills.md):** (Experimental) Extend the CLI with
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specialized expertise and procedural workflows.
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- **[Settings](./cli/settings.md):** Configure various aspects of the CLI's
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behavior and appearance with `/settings`.
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- **[Telemetry](./cli/telemetry.md):** Overview of telemetry in the CLI.
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@@ -91,5 +91,8 @@ Additionally, these tools incorporate:
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- **[MCP servers](./mcp-server.md)**: MCP servers act as a bridge between the
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Gemini model and your local environment or other services like APIs.
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- **[Agent Skills](../cli/skills.md)**: (Experimental) On-demand expertise
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packages that are activated via the `activate_skill` tool to provide
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specialized guidance and resources.
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- **[Sandboxing](../cli/sandbox.md)**: Sandboxing isolates the model and its
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changes from your environment to reduce potential risk.
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