How do I install the Tobert Gpal Update Models skill?

Run npx skillmds@latest add tomevault-io/tobert-gpal-update-models in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Tobert Gpal Update Models skill do?

Update Models It is listed under Coding & Dev Tools on SkillMD.

Is Tobert Gpal Update Models safe to use?

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Which AI agents work with Tobert Gpal Update Models?

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Is Tobert Gpal Update Models free to use?

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Who published Tobert Gpal Update Models?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Tobert Gpal Update Models by tomevault-io

Name: Tobert Gpal Update Models
Author: tomevault-io

File contents

Update Models

Maintain and update Gemini model IDs configured in the gpal MCP server.

Overview

gpal configures model IDs as constants at the top of src/gpal/server.py. Google regularly releases new model versions and deprecates old ones. This skill provides the workflow for checking freshness, discovering new models, updating constants, and verifying the changes.

Workflow

Step 1: Check Current Model Freshness

Read the gpal://models/check MCP resource. It compares every configured model against the Google API's available models list and reports status:

ok — Model exists in the API
alias — Uses a -latest alias (resolved server-side, always valid)
not_listed — Model not found in API (may be deprecated or renamed)

Step 2: Discover Available Models

Call the list_models MCP tool to see all models grouped by capability (generateContent, generateImages, embedContent, etc.).

Compare available models against configured constants. Look for:

Newer versions of existing models (e.g., gemini-3-flash-001 replacing gemini-3-flash-preview)
New model families worth adopting
Deprecated models that need replacement

Step 3: Decide on Updates

Apply these rules when choosing model updates:

Slot	Strategy	Rationale
Flash/Pro consult	Pin to specific version	Capabilities matter; test before switching
Search/Code exec	Use `-latest` alias	Stateless utility calls; safe to auto-update
Image generation	Pin to specific version	Output quality varies between versions
Speech	Pin to specific version	Voice behavior changes between versions

Prefer GA models (dated suffix like -001) over preview models when available.

Step 4: Apply Changes

Update all locations listed in references/model-update-checklist.md. The key files:

src/gpal/server.py — Model constants, MODEL_ALIASES, NANO_BANANA_MODELS
CLAUDE.md — Model Strategy table
pyproject.toml + src/gpal/__init__.py — Version bump (both must match)

Step 5: Verify

Run tests: uv run pytest tests/test_server.py tests/test_tools.py tests/test_index.py -v
Dogfood with Gemini Pro: ask it to review the changes
Reinstall: uv cache clean --force gpal && uv tool install --force /home/atobey/src/gpal
Reconnect MCP (/mcp) and read gpal://models/check to confirm

Additional Resources

Reference Files

references/model-update-checklist.md — Complete list of files to modify, naming conventions, Nano Banana vs Imagen details, and verification steps

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: tobert-gpal-update-modelsdescription: Update Models---# Update ModelsMaintain and update Gemini model IDs configured in the gpal MCP server.## Overviewgpal configures model IDs as constants at the top of `src/gpal/server.py`. Googleregularly releases new model versions and deprecates old ones. This skill providesthe workflow for checking freshness, discovering new models, updating constants,and verifying the changes.## Workflow### Step 1: Check Current Model FreshnessRead the `gpal://models/check` MCP resource. It compares every configured modelagainst the Google API's available models list and reports status:- **ok** — Model exists in the API- **alias** — Uses a `-latest` alias (resolved server-side, always valid)- **not_listed** — Model not found in API (may be deprecated or renamed)### Step 2: Discover Available ModelsCall the `list_models` MCP tool to see all models grouped by capability(generateContent, generateImages, embedContent, etc.).Compare available models against configured constants. Look for:- Newer versions of existing models (e.g., `gemini-3-flash-001` replacing `gemini-3-flash-preview`)- New model families worth adopting- Deprecated models that need replacement### Step 3: Decide on UpdatesApply these rules when choosing model updates:| Slot | Strategy | Rationale ||------|----------|-----------|| Flash/Pro consult | Pin to specific version | Capabilities matter; test before switching || Search/Code exec | Use `-latest` alias | Stateless utility calls; safe to auto-update || Image generation | Pin to specific version | Output quality varies between versions || Speech | Pin to specific version | Voice behavior changes between versions |Prefer GA models (dated suffix like `-001`) over preview models when available.### Step 4: Apply ChangesUpdate all locations listed in `references/model-update-checklist.md`. The key files:1. **`src/gpal/server.py`** — Model constants, `MODEL_ALIASES`, `NANO_BANANA_MODELS`2. **`CLAUDE.md`** — Model Strategy table3. **`pyproject.toml` + `src/gpal/__init__.py`** — Version bump (both must match)### Step 5: Verify1. Run tests: `uv run pytest tests/test_server.py tests/test_tools.py tests/test_index.py -v`2. Dogfood with Gemini Pro: ask it to review the changes3. Reinstall: `uv cache clean --force gpal && uv tool install --force /home/atobey/src/gpal`4. Reconnect MCP (`/mcp`) and read `gpal://models/check` to confirm## Additional Resources### Reference Files- **`references/model-update-checklist.md`** — Complete list of files to modify, naming conventions, Nano Banana vs Imagen details, and verification steps---> Converted and distributed by [TomeVault](https://tomevault.io/claim/tobert) — claim your Tome and manage your conversions.

Frequently asked questions

Tobert Gpal Update Models