Results for “dep”

Use when building NestJS applications requiring modular architecture, dependency injection, or TypeScript backend development. Invoke for modules, controllers, services, DTOs, guards, interceptors, TypeORM/Prisma.

FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.

Analyzing pre-change impact across vertical (dependency chains, files) and horizontal (pattern consistency, naming) dimensions. Use to estimate blast radius before a refactor. No code.

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models following established patterns.

Analyze a codebase and generate a structured map of files relevant to a task before making changes.

Executes a phased implementation plan by deploying subagents for implementation, verification, anti-pattern checks, code quality review, and committing.

Upgrades Remotion packages, compatible Mediabunny dependencies, and installed Remotion Agent Skills to their latest aligned versions.

DEPRECATED — replaced by stitch-design as primary design tool. Use stitch-design instead. This skill is kept as fallback only if Stitch is unavailable.

Keeps code readable. File size limits, function length caps, nesting depth rules. Written for non-coders who need to understand what the AI wrote.

Plan a sprint by estimating team capacity, selecting and sequencing stories, and identifying risks.

Operate and extend NanoClaw v2, a zero-dependency session-aware REPL built on Claude's -p mode.

Publish and deploy C# MCP servers to NuGet, Docker, Azure, and the MCP Registry.

Build Next.js 14+ applications with App Router, server components, server actions, and optimized deployment.

Install and manage Python packages using uv pip when imports fail or dependencies are missing.

Orchestrates end-to-end software development from scaffolding to deployment, covering frontend, backend, database, testing, and CI/CD workflows.

Runs project-specific commands defined in a justfile, a Make-inspired syntax supporting parameters, dependencies, and multi-language recipes.

Secure Quarkus applications with authentication, authorization, input validation, and secrets management best practices.

Automates multi-language software builds with Makefiles, dependency management, testing, packaging, and CI/CD integration.

Guides efficient coding by enforcing a strict ladder of reuse, standard library, and minimal code before writing anything new.

Build reactive backends with Convex: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Expand an annotated outline into full article prose using brand voice anchored in example articles, hitting the outline's per-section depth targets. Triggered after /product-mentions.

Test Python services with pytest, async coverage, monkeypatch, and boundary-focused fakes. Use when writing Python tests, fixtures, async tests, regression tests, or dependency-isolated verification.

Configure Python tooling, dependency surfaces, static analysis, and verification gates. Use when editing `pyproject.toml`, `requirements.txt`, `pytest.ini`, `ruff`, `pyright`, CI, or Python release checks.

Automates visual testing and UI interaction verification using browser automation after deploying features.

Upgrade Expo SDK versions and fix dependency issues with step-by-step guidance.

Scaffold, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling.

Generates new agent skills when a capability gap is identified, checking for duplicates first and validating quality before deployment.

Use to build Science's data, code, and materials availability — mandatory deposition in approved repositories, accession numbers, a compliant data-availability statement, and materials/reagent sharing.

Never test mock behavior. Never add test-only methods to production classes. Understand dependencies before mocking. Language-agnostic principles with TypeScript/Jest and Python/pytest examples.

Safely modifies Xcode projects (.pbxproj) to add Swift Packages and link files. Use this skill whenever an iOS project needs dependencies installed (e.g. Firebase, Alamofire).

Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.

Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.

Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on "controlnet", "control net", "pose control", "openpose", "DWPose", "transfer pose", "motion control", "pose driven", "character pose", "depth control", "canny edge", "use this pose", or any explicit ask to condition generation on a pose / skeleton / motion / depth / canny reference.

Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on "controlnet", "control net", "pose control", "openpose", "DWPose", "transfer pose", "motion control", "pose driven", "character pose", "depth control", "canny edge", "use this pose", or any explicit ask to condition generation on a pose / skeleton / motion / depth / canny reference.

Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on "controlnet", "control net", "pose control", "openpose", "DWPose", "transfer pose", "motion control", "pose driven", "character pose", "depth control", "canny edge", "use this pose", or any explicit ask to condition generation on a pose / skeleton / motion / depth / canny reference.

Creates a concrete, multi-phase plan before starting a multi-file refactor, including affected files, dependencies, verification steps, and rollback procedures.