Skill UI

This skill provides a structured framework for designing and implementing composable recommendation, ranking, and feed pipelines. It models the industry-standard six-stage pattern: Source, Hydrator, Filter, Scorer, Selector, and SideEffect. Use it for any system that selects "the top K items for a (user, context)", such as social feeds, ad ranking, RAG rerankers, or content recommendation engines, ensuring a robust and scalable architecture.

Coordinate multiple agents as a team using work items with owners, agent Kanban state, branch/worktree isolation, control pane visibility, and explicit merge gates. Use for parallel agent fan-out and merging agent output into one product.

This guide provides a structured framework for authors aiming to submit manuscripts to Nature Geoscience. It details how to comply with strict journal limits on word count, display items, and references. By implementing a triage order—such as moving protocols to Online Methods and extended data to Supplementary Information—authors can ensure the main text remains focused, concise, and impactful.

This skill is designed for deep forensic analysis of asynchronous processing chains, specifically focusing on 'drift'—behavioral or configuration differences between a synchronous request path and subsequent worker-executed tasks. Use it to trace payloads, inspect worker-only state, follow retry mechanisms, handle dead-letter queues, or connect enqueued items to eventual side effects (e.g., file writes, cache updates, emails). It is a specialized downstream tool, requiring prior orchestration context.

Adds an Azure DevOps connector to a Power Apps code app. Use when querying work items, creating bugs, managing pipelines, or making Azure DevOps REST API calls. Includes steps to apply a required HttpRequest body parameter fix, configure operations, build, and update the memory bank.

Run a comprehensive, read-only health check on your computer and receive a scored chat summary with prioritized recommendations for disk space, memory, battery, startup items, updates, and resource hogs. Works on macOS, Windows, and Linux for tune-ups and slowdown troubleshooting.

Audit and optimize websites for platform-specific AI search engines including Google AI Overviews, ChatGPT, Perplexity, Gemini, and Bing Copilot. Provides per-platform checklists, scoring rubrics, and action items to improve visibility and citation rates in generative engine optimization (GEO). Requires network access for site audits; PDF reports need pandoc and headless Chrome.

Automates Miro boards, items, frames, connectors, and sharing via Composio’s Rube MCP toolkit, guiding users through setup, schema queries, pagination, and item resolution for reliable whiteboard workflows.

Automates Monday.com boards, items, columns, groups, and updates through Rube MCP tooling; retrieves current schemas with RUBE_SEARCH_TOOLS and manages Monday.com OAuth links before running creation or update workflows.

Plan first, then orchestrate parallel agents with adversarial verification via the local odw daemon. Use when a task spans many files or items and benefits from concurrent agents.

This skill guides the systematic triage of project issues and external pull requests (PRs). It moves development items through a defined state machine using roles (e.g., bug, enhancement) and states (e.g., ready-for-agent, wontfix). The process involves context gathering, cross-codebase verification, deep questioning (grilling), and generating comprehensive, agent-ready briefs or marking them for human implementation.