Skill UI

This tool automatically generates comprehensive API documentation directly from source code, supporting TypeScript and JavaScript. It scans all public exports (functions, classes, interfaces) and extracts detailed JSDoc annotations. Furthermore, it can generate structured OpenAPI 3.0 specifications for HTTP endpoints, ensuring all public APIs are documented and compliant with industry standards.

This harness transforms standard code environments into fully persistent, autonomous agent systems. It leverages native features like scheduled tasks (Crons), remote dispatching, and structured memory storage (MCP) to enable continuous, self-directing automation. Ideal for building AI assistants that require long-term context, recurring workflows, and complex, multi-step operations, eliminating the need for external agent frameworks like AutoGPT.

This methodology provides a rigorous framework for scoring competitors across nine weighted dimensions. By using explicit 1-5 rubrics and focusing intensely on the client's strategic tension, it moves beyond subjective gut-feel rankings to create defensible, comparable, and evidence-anchored scores. It is essential for developing a detailed, structured competitive report.

This skill provides a rigorous, structured method for inspecting animated 3D characters, rigs, and motion retargeting in Blender. It moves beyond visual evidence (screenshots) by extracting and comparing structured data points such as bone transformations, bounding box changes, ground contacts, and axis conventions. Ideal for diagnosing subtle animation flaws like foot sliding, ground penetration, or incorrect orientation that are invisible in still images.

A comprehensive, multi-session framework designed to systematically uncover and articulate a brand’s core identity. Using advanced techniques like Laddering, 5 Whys, and Projective methods, the process covers purpose, positioning, audience, personality, and voice. The final output is a reusable Master Brandbook perfect for briefing designers and marketing teams.

This tool drives and audits a website's authentication flow by executing a configurable set of adversarial probes. It checks for critical security vulnerabilities such as missing CSRF tokens, insecure session cookies, dangerous redirect leaks, and OAuth misconfigurations. It generates a structured findings report for pre-deployment security auditing.

This skill extracts structured data, such as text, tables, or attribute values, from rendered web pages. It supports both running pre-saved templates and conducting one-shot DOM queries. Crucially, it integrates mandatory AIDefence gates for PII scanning and prompt-injection detection, ensuring data safety and reliability before the data reaches the model.

This tool automates the process of filling out web forms by accepting a structured field map (field name to value). It intelligently resolves field selectors either by leveraging stored browser templates for known sites or by analyzing the current page's accessibility snapshot. It supports submission and manages PII redaction.

This primitive skill initiates and manages a named, traceable browser session. It captures every user action, state change, and snapshot into a structured RVF cognitive container. This mechanism is essential for complex, multi-step web interactions, allowing downstream skills to reliably compose, replay, and analyze the entire browsing journey.

A comprehensive tool for automated User Interface (UI) testing. It records and replays entire browser sessions, ensuring every test generates a verifiable, replayable artifact (RVF). Use it to validate complex user flows, catch frontend regressions, and establish reliable baselines for continuous integration (CI) pipelines. Supports visual comparison and structured validation steps.

This tool serves as a persistent memory and state manager for complex coding projects within the Claude environment. It allows users to initialize new projects with structured metadata, track detailed session progress (including summaries, decisions, and next steps), and save the entire context reliably. By ensuring project continuity across disconnected sessions, it drastically improves the flow and consistency of the development workflow.

A robust framework for orchestrating complex, multi-step coding tasks using multiple AI agents. It functions by first planning the entire project into a mission dependency graph (DAG), then dispatching specialized agents to isolated Git worktrees for parallel development. The system automatically monitors progress, handles merges, and generates structured, comprehensive reports detailing changes, completed tasks, and next steps.