Skill UI

Creates detailed implementation plans for multi-step tasks by outlining file responsibilities, concrete coding/testing steps, and commit guidance so developers can execute with no prior context.

A Manus-style file planning system for breaking down complex tasks, tracking progress, and preserving context across sessions. It creates task_plan.md, findings.md, and progress.md for multi-step projects and research workflows.

A Manus-style file planning system for organizing complex multi-step tasks. It creates task_plan.md, findings.md, and progress.md to track research, planning, and execution, with automatic session recovery after /clear.

A structured planning system that uses markdown files (task_plan.md, progress.md) to manage complex, multi-step projects, research tasks, or workflows requiring extensive steps. It provides robust session recovery and includes file tampering detection, treating all plan contents as immutable data. Ideal for highly structured project management.

This skill provides comprehensive automation capabilities for managing Asana workspaces. Users can automate complex tasks including creating, searching, and listing tasks; managing projects and sections; and listing teams and users. By utilizing the Rube MCP framework, it allows for the orchestration of multi-step workflows, significantly streamlining project management and collaboration processes.

A sophisticated, file-based system designed for organizing and tracking complex, multi-step projects. It utilizes structured Markdown files (task_plan.md, progress.md, findings.md) to maintain a complete record of plans, research findings, and progress updates. Ideal for project analysis, workflow management, and ensuring data integrity throughout the planning lifecycle.

This skill is designed for scenarios requiring complex, multi-step task decomposition. Instead of asking an Agent to perform the task directly, it guides the process of requesting a clear, actionable, sequential execution plan from a stronger Agent. The core function emphasizes that the user must execute the generated plan themselves, ensuring the output is a roadmap, not a final answer.

This guide details how to use Skyvern's AI-powered Command Line Interface (CLI) for advanced browser automation. Users can perform tasks such as quick data validation, structured data extraction, form filling, secure login, and building complex, multi-step, reusable workflows across various websites. It offers solutions for scenarios where deterministic selectors fail.

This advanced orchestrator manages complex internal business workflows, covering process mapping, vendor management, capacity planning, and procurement optimization. It acts as a central router, classifying multi-signal inquiries and delegating tasks to specialized sub-skills (e.g., knowledge-ops, vendor-management). It follows a structured, depth-first workflow and returns actionable, digested reports anchored in documentation and next steps.

This skill orchestrates the process of converting a detailed, multi-turn conversation, complex workflow, or troubleshooting path into a standardized, reusable SKILL.md format. It guides the user through proposing a structured plan, ensuring all necessary steps, triggers, and inputs are captured before materializing the final, callable skill for future use.

This comprehensive skill provides a full workflow for creating high-quality, annotated animated GIFs and screen recordings. It supports capturing multi-step UI interactions using Playwright, assembling dynamic GIFs with imageio, applying variable frame timing, and adding sophisticated annotations (including fade-in effects) for clear documentation, pull request descriptions, or release note demos.

This skill analyzes your opencode prompt history to identify repeating multi-step workflows, recurring unmet needs, and candidates for new reusable skills. By scoring patterns based on frequency, complexity, and tool usage, it helps users save time and avoid repeating complex manual tasks.