Results for “features”

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

Pixel-perfect Figma to React conversion using coderio. Generates production-ready code (TypeScript, Vite, TailwindCSS V4) with high visual fidelity. Features robust error handling, checkpoint recovery, and streamlined execution via helper script.

Design leakage-safe feature engineering strategies for tabular/time-series datasets. Use when: (1) preparing model-ready features, (2) selecting transformations and encodings, (3) documenting feature lineage. NOT for: model serving or infra provisioning.

Build game systems, implement Unity/Unreal Engine features, and optimize game performance with ECS architecture, physics, multiplayer networking, and shader programming.

Breaks applications or features into thin vertical user-story slices with clear acceptance criteria and user-observable value, suitable for backlog planning and feature decomposition.

Write modern C# code with advanced features like records, pattern matching, and async/await. Optimizes .NET applications, implements enterprise patterns, and ensures comprehensive testing. Use PROACTIVELY for C# refactoring, performance optimization, or complex .NET solutions.

Behavior-driven development: Discovery → Formulation → Automation. Use when the user wants to build features or fix bugs via Gherkin scenarios and the BDD lifecycle, or mentions BDD/Gherkin/Executable Specifications. Delegates test implementation to /mattpocock:tdd.

Develop React Native, Flutter, or native mobile apps with modern architecture patterns. Masters cross-platform development, native integrations, offline sync, and app store optimization. Use PROACTIVELY for mobile features, cross-platform code, or app optimization.

Generate changelog entries and GitHub releases from git history. Categorizes commits into features, fixes, breaking changes, and docs. Supports conventional commits, PR-based grouping, and semantic versioning. Creates formatted CHANGELOG.md entries and GitHub releases.

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. Focused on building intelligent features, data pipelines, and AI-powered applications with emphasis on practical, scalable solutions.

Use when designing new systems, features, or integrations to identify potential security threats and vulnerabilities before they are exploited. This skill provides a structured approach to threat identification, risk assessment, and mitigation planning.

Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.

Guides the process of deprecating old systems, APIs, or features and migrating users to replacements, including decision frameworks, migration patterns, and removal strategies.

Migrate applications from Google AI Studio to Google Cloud Agent Platform, enabling enterprise features like IAM, billing, and SLAs.

Train, evaluate, export, distill, quantize, or run inference for a TAO DINO 2D object detector using transformer-based detection with denoising training and multi-scale features.

Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.

Processes and analyzes multiple physiological signals (ECG, respiration, EDA, EMG, PPG, EOG) together using NeuroKit2, including cross-signal features like RSA and event-related analysis.

Adapt a historical primary source for classroom use — modifying complexity and length while preserving features for sourcing, close reading, and corroboration. Use when a primary source is too complex for the target age group.

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.

Clerk webhooks for real-time events and data syncing. Verify with verifyWebhook from the framework-specific package. Handle user, session, organization, billing, and payment events. Build event-driven features like database sync, notifications, and integrations.

Create user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria with descriptions, design links, and acceptance criteria. Use when writing user stories, breaking down features into backlog items, or defining acceptance criteria.

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

Operate a Redpanda cluster via its HTTP Admin API on port 9644, covering broker lifecycle, partitions, cluster config, health, security, and enterprise features.

Converts existing PRDs into the prd.json format used by the Ralph autonomous agent system, including splitting large features into right-sized stories and creating a progress file.

Implements code features phase by phase from a JSON or Markdown plan, with configurable unit-test and quality-gate choices, token-budgeted execution, and resumable state.

Product execution specialist for SaaS, apps, AI tools, and internal software products. Trigger when user requests 'build SaaS', 'define features', 'create user flow', 'scope MVP', 'prepare build package', 'software product', 'app definition', or 'PRD creation'.

Generate clear documentation for each task including technical descriptions, architecture diagrams, and usage guides. Use when documenting completed features, creating README files, writing API documentation, generating architecture diagrams, or maintaining project documentation. Ensures knowledge is preserved and accessible.

Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. Use PROACTIVELY for Python development, optimization, or advanced Python patterns.

Expert guidance for Amazon Q Developer (formerly Fig), the terminal tool that provides IDE-style autocomplete, AI chat, and CLI builder capabilities. Helps developers create custom completion specs, build CLI tools with autocomplete, and configure terminal productivity features.

Creates detailed technical implementation plans for features based on a Feature PRD, including system architecture, database schema, API design, and frontend component hierarchy.

Provisions and manages Redpanda Cloud BYOC clusters via the Control Plane API and the rpk cloud byoc plugin, covering networks, IAM wiring, private connectivity, and enterprise features.

Organizes Flutter code by business features instead of technical layers, with self-contained folders for UI, logic, and data, plus a recommended project structure and dependencies.

Complete API for Google NotebookLM - full programmatic access including features not in the web UI. Create notebooks, add sources, generate all artifact types, download in multiple formats. Activates on explicit /notebooklm or intent like "create a podcast about X"

Deep UAT testing for all Perlantir projects. Crawls every page, clicks every button, tests every form, verifies every interaction, takes screenshots for vision analysis, and checks for missing features against project scope. Runs automatically after every deploy.

Atlassian Jira expert for creating and managing projects, planning, product discovery, JQL queries, workflows, custom fields, automation, reporting, and all Jira features. Use for Jira project setup, configuration, advanced search, dashboard creation, workflow design, and technical Jira operations.