Adds an inline review comment to a specific line in a file within a PR.

Adds a comment to a specific pull request.

Creates a new issue.

Creates a new pull request.

Creates a new release.

Creates a new tag.

Fetches the SHA of the latest commit.

Fetches the content/details of a specific pull request.

Fetches the diff/patch of a specific pull request.

Return the issues that will be auto-closed when a pull request is merged.

Return the CI check runs and commit status for a pull request's HEAD commit.

Pages through up to MAX_STATUS_CHECKS_SUITE_PAGES of check suites (50 per page). For any suite whose first 100 runs are not the full set, drains up to MAX_STATUS_CHECKS_RUN_PAGES_PER_SUITE additional pages via the supplemental query. If either cap is hit before the connection is exhausted, the result is flagged truncated=True and overall is downgraded from 'passing' to 'unknown' so the caller does not act on a partial view.

Return the repos owned by username that received the most new stars since a given date. since accepts YYYY-MM-DD or ISO 8601; defaults to 30 days ago. Answers prompts like 'which repos gained the most stars in the last 30 days'. One REST call is made per repo checked — set max_repos conservatively.

Get user activities with optional filtering by org, repo, and date range using GraphQL API. since/until accept YYYY-MM-DD or full ISO 8601 (YYYY-MM-DDTHH:MM:SSZ). Note: repo_stars returns current cumulative star counts, not stars gained within the requested period — GitHub does not expose per-period star deltas.

Lists open pull requests or issues.

Merges a specific pull request.

Search for a GitHub user by username using GraphQL API.

Updates the assignees for a specific issue or pull request.

Updates an existing issue.

Updates the pull request branch with the latest upstream changes.

Updates the title and description of a specific pull request.

Submits a review for a specific pull request.

Present the user with a set of options to choose from.

Call this tool when you need the user to make a decision between discrete alternatives. Use it proactively — don't ask the user to type their choice in chat when you can present clean, clickable options instead.

The user will see a card with one button per option. When they click one, their choice appears as a message in the conversation (as if the user typed it), like:

"Which deployment strategy?" — I selected: Blue-green

IMPORTANT: After calling this tool, you MUST stop and wait for the user's response. Do not continue or take any other actions until you see the "I selected:" message.

Execute Prefab Python code in a sandbox and render the result.

The code runs in a Pyodide WASM sandbox with full Python support. Import everything you use. Use the components tool to look up available components and their import paths.

Always use PrefabApp as the outermost context manager — this enables streaming so the UI renders progressively as code is written:

from prefab_ui.components import Column, Heading, Text, Row, Badge
from prefab_ui.app import PrefabApp

with PrefabApp() as app:
    with Column(gap=4):
        Heading("Dashboard")
        with Row(gap=2):
            Text("Revenue: $1.2M")
            Badge("On Track", variant="success")

For interactive UIs, pass initial state as a dict and use .rx on stateful components for reactive bindings:

from prefab_ui.components import Column, Slider, Text
from prefab_ui.app import PrefabApp

with PrefabApp(state={"threshold": 50}) as app:
    with Column(gap=4):
        slider = Slider(value=50, min=0, max=100, name="threshold")
        Text(f"Threshold: {slider.rx}%")

slider.rx produces {{ threshold }}, a template expression that resolves against client-side state. Use Rx("key") directly, or apply pipe filters: Rx("balance").currency() produces {{ balance | currency }}.

Available pipes: upper, lower, currency, length, json, round(n), default(val), truncate(n).

Charts live in prefab_ui.components.charts:

from prefab_ui.components.charts import BarChart, ChartSeries

BarChart(
    data=[{"month": "Jan", "rev": 100}, {"month": "Feb", "rev": 200}],
    series=[ChartSeries(data_key="rev", label="Revenue")],
    x_axis="month",
)

Values passed via data are available as global variables in the code. Python features like loops, f-strings, and comprehensions all work.

Layout patterns:

• Card sub-components (CardHeader, CardContent, CardFooter) have built-in padding. Don't add extra padding to them. For a simple card without sub-components, use Card(css_class="p-6").

• Use Grid(columns=N, gap=4) for equal-width cards or panels. Grid handles sizing automatically — no flex classes needed. For unequal widths, pass a list: Grid(columns=[2, 1], gap=4) gives a 2:1 ratio.

• Row is for inline elements (badges, icons + text, buttons). Prefer Grid when children should have equal or proportional widths. Row does not wrap by default.

• Column and Row accept gap (Tailwind scale: 1-12), align (cross-axis), and justify (main-axis) as native props — prefer these over raw css_class for spacing.

• Use css_class="overflow-hidden" on containers if chart or content edges should clip to the container boundary.

Args: code: Python code that builds a Prefab component tree. data: Values injected as variables in the sandbox namespace. sandbox: A Sandbox instance. If not provided, a new one is created on each call.

Search the Prefab component library.

Use this tool to look up exact argument names, accepted values, and usage examples before writing component code. The skill covers patterns and layout; this tool has the API details.

The query matches component names and descriptions. Space-separated terms match independently, so "Card Badge Metric" returns all three.

When a query matches a small number of components, full details (docstrings, args, examples) are shown automatically. For broad searches, a compact listing is returned instead. Use detail to override this behavior.

Args: query: Filter by component name or description. Space-separated terms are OR-matched. detail: Show full docstrings and args. Defaults to automatic (detailed for ≤5 matches, compact otherwise). limit: Max components to return in detail mode (default 8). No limit in compact mode.