Skill UI

This skill is designed for orchestrating complex, multi-step processes. It helps manage workflows, coordinate different components, and ensure systematic execution of tasks from planning to completion. Ideal for complex automation scenarios and structured project management.

This skill generates structured and standardized Git commit messages following the Conventional Commits specification. By analyzing code changes (via diff or status), it helps developers automatically create clear, actionable, and searchable commit history messages, ensuring consistency across the project.

This skill summarizes the current conversation into a structured handoff document, ideal for passing work to a fresh AI agent or starting a new session. It avoids content duplication by referencing existing artifacts (PRDs, plans, issues, commits) using their paths or URLs, ensuring the receiving agent has a concise and actionable overview of the project's state, open decisions, and next steps.

This skill helps uncover the user's actual underlying needs, rather than accepting vague or conventionally stated requirements. By conducting a structured, one-question-at-a-time interview, it systematically closes the gap between what a user 'thinks' they want and what they truly need, ensuring project scope is built on solid intent before development begins.

This skill is designed to capture and organize unstructured 'brain dumps'—messy streams of thoughts, ideas, and tasks—with zero information loss. It immediately structures the input into distinct, actionable sections (Projects/Ideas, Tasks, Connections, etc.), providing a clean, next-step guide. Use it whenever you are unloading a large, mixed block of thoughts and need them turned into coherent, executable plans.

A self-hosted, semantic memory service designed for AI agents. It allows agents to save worklogs, decisions, and notes, and recall this knowledge across sessions based on meaning rather than exact keywords. Using pgvector and structured workspaces, it maintains persistent, context-aware knowledge bases, making it ideal for collaborative AI projects.

This skill captures and persists critical user decisions, project constraints, and architectural choices across multiple sessions and agents. It saves this context into a structured memory database (`mdbase`), ensuring that future development steps or agents can retrieve the original intent without re-deriving it from scratch. Ideal for documenting project rules, tech stacks, and design rationale.

This skill simulates a Python project architecture expert, specializing in scaffolding full, production-ready applications. It generates complete project structures using modern tools like FastAPI, Django, and uv, enforcing best practices and type hinting. Use it when starting a complex, multi-component Python project from scratch.

This skill converts vague coding requests into a single, actionable, and detailed project plan. It guides the user through defining scope, establishing concrete, ordered action items (discovery, changes, tests, rollout), and identifying potential risks or open questions, ensuring a robust development workflow.

This skill provides a comprehensive, structured workflow for managing projects, issues, and team workflows within the Linear platform. It supports natural-language project management, allowing users to perform tasks like sprint planning, bug triage, and workload balancing by interacting with the Linear MCP server and various specialized tools.

This skill allows users to generate complete songs, including vocals or pure instrumental tracks, using advanced AI APIs. By providing a structured JSON specification, you can define the desired style, mood, scene, and optional lyrics. Ideal for creating background music, theme songs, jingles, or full compositions for creative projects.

This tool facilitates comprehensive research by pulling relevant information from multiple Notion sources. It synthesizes scattered data into highly structured documentation, such as detailed briefs, comparative analyses, or executive reports. It ensures all claims are supported by accurate inline citations and links, making it ideal for market research, project documentation, or academic reporting where source traceability is critical.