Skills for “code”
81 skills match · 413 ms · understood as category: Coding
Also searched as: coding, developer, programming
…files into Figma, choose editable Design frames, runnable Code Layers or standalone Code (also known as Make), and repair imported previews. Use only when the user explicitly names editable Design layers, a runnable…
…whenever the user wants to implement, build, port, or code up a Figma design as code. Example prompts (not exhaustive) are 'implement this Figma design', 'build this screen from Figma', 'turn this Figma into…
Run CodeRabbit CLI reviews, retrieve saved local or GitHub PR fix prompts, and interpret CodeRabbit authentication and review output. Use for CodeRabbit review commands, committed/uncommitted or directory scopes, and…
Create, update, or validate CodeRabbit repository configuration through the official CLI. Use for .coderabbit.yaml or .coderabbit.yml setup, review-style changes, path guidance, and configuration validation requests.
Creates and maintains Figma Code Connect template files that map Figma components to code snippets. Use when the user mentions Code Connect, Figma component mapping, design-to-code translation, or asks to create/update…
…the workspace's warehouse integrations. Uses the altimate-code MCP tools when the session has them and the model-free `tool run` CLI otherwise. Also the route for long multi-step dbt jobs (builds, migrations) via…
Understand, diagnose, and fix Apple code signing and provisioning for macOS and iOS Xcode projects — certificates, identifiers, provisioning profiles, entitlements, automatic vs manual signing, and fastlane match. Use…
Review everything the current Go feature branch introduces relative to its target branch (default main) for correctness, panics, error handling, concurrency, context and timeouts, transactions, idempotency, security,…
Inspect an application repository connected to PlanetScale and recommend SQLCommenter-compatible query tagging packages and conventions.
…right auth header, shaping the variables payload (HogQL code_name vs insight breakdown property), handling rate-limit and materialised-endpoint error responses. Use when the user says "how do I call my endpoint",…
…docs for the framework. Use when a user working in their codebase asks to add, install, or set up PostHog, product analytics, session replay, or a PostHog SDK. Covers finding the right docs page, installing the…
Understand how code works, how a change was done before, and which repos are coupled — to answer a question, plan a code change, debug a regression, or scope a fix, using Qodo managed tools through MCP or the CLI. Use…
Connect Codex itself to Logfire, check connection status, or stop session recording. Use for this plugin's MCP access and optional native Codex telemetry, not application instrumentation or AI Gateway routing.
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable…
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh,…
…an Aikido security scan on generated, added, or modified code files to detect SAST vulnerabilities and exposed secrets. Use when the user wants to scan code for security issues, after writing or modifying code, or…
Code style conventions for Output SDK workflow projects. Use when writing or reviewing any TypeScript/JavaScript code. Discovers the project's own linting rules first; falls back to Output SDK conventions when no linter…
Writes Python code following FiftyOne's official conventions. Use when contributing to FiftyOne, developing plugins, or writing code that integrates with FiftyOne's codebase.
Generates migration readers, transforms, setup plans, and thin Wix write specs from schema and mapping artifacts. Use when producing runnable extract/import code under the migration project.
…assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model.…