Skill UI

Bun is a fast, modern JavaScript/TypeScript runtime and toolchain. Use this skill for starting new projects, migrating from Node.js, optimizing development speed, and utilizing built-in bundlers and test runners. Ideal for troubleshooting Bun-specific issues and enhancing workflow efficiency.

This skill provides a template for creating project-specific guidelines based on production applications. It includes architecture overviews, file structures, code patterns, testing requirements, and deployment workflows. Ideal for standardizing development practices across teams using technologies like Next.js, FastAPI, and AI integrations.

Automate changelog generation from commits, PRs, and releases following industry standards like Keep a Changelog. This skill helps set up release workflows, generate release notes, and standardize commit message formats. It supports conventional commits and semantic versioning management. Use it for CI/CD pipelines and version control processes to ensure consistent documentation and maintain project history.

This skill applies a rigorous, evidence-first discipline to coding tasks, inspired by Fable-like best practices. It guides agents through a structured workflow: inspecting the workspace, tracking goals and findings, grounding all conclusions in verifiable evidence, and executing thorough verification gates before declaring completion. Ideal for complex development, debugging, or adapting cross-model prompt guidance into robust, verifiable project rules.

This skill orchestrates a comprehensive multi-dimensional code review using specialized agents. It covers code quality, architecture, security, performance, testing, and documentation. Users can configure focus areas like security, performance, or TDD compliance. It integrates static analysis, security scanning, and automated metrics to provide actionable feedback and remediation guidance for software development projects.

This skill executes tasks from a project's implementation plan following Test-Driven Development (TDD) workflows. It manages track selection, loads necessary context, guides coding through Red-Green-Refactor phases, handles commits, and verifies phase completion. Use it when working on specific implementation tracks or needing guidance on best practices for structured development.

Validates Conductor workflow artifacts such as index, tracks, plans and status markers for completeness, consistency and correctness. Use after setup, before resuming a track, or when diagnosing stale or conflicting project state.

A methodology for managing project context as structured artifacts alongside code to ensure consistent AI interactions and team alignment. It involves defining product vision, tech stack, and workflows before implementation, supporting both new and existing projects.

This skill specializes in intelligent context management for AI workflows. It captures project state, architectural decisions, and semantic knowledge using vector databases and knowledge graphs. Supports serialization, compression, and multi-session collaboration to preserve institutional knowledge and enable seamless knowledge transfer across complex engineering tasks.

Manages the deployment of local applications and websites to the Vercel platform. This skill intelligently detects the project's current state (e.g., if it is already linked or if git is available) and guides the user through the optimal deployment method. It prioritizes establishing a permanent git-push connection to facilitate a seamless Continuous Integration/Continuous Deployment (CI/CD) workflow. Use when the user explicitly requests deployment actions.

A comprehensive, end-to-end workflow bundle guiding developers through the entire software development lifecycle. It covers project scaffolding, frontend development (React/Next.js), robust backend architecture, database design, rigorous testing (TDD, E2E), code quality review, and modern CI/CD deployment practices for web and mobile applications.

This workflow bundle facilitates comprehensive technical documentation generation for software projects. It covers creating API documentation, architecture diagrams, README files, code comments, and user guides. The process includes planning, generating OpenAPI specs, documenting code structures, and maintaining wikis. It ensures all documentation types are up-to-date and accurate for developers and users.