Skill UI

A comprehensive three-column layout template designed for high-readability technical documentation, such as API references, tutorials, and guides. It features a sticky side navigation, main article body with support for code blocks and callouts, and a scroll-spy Table of Contents (TOC). Includes search and version control.

This template transforms complex, multi-source materials (meeting notes, research, product data, financial feedback) into a single, highly structured, actionable one-page memo. It forces the user to distill the core problem, define a clear recommendation, map out tradeoffs, and list actionable next steps, making it ideal for C-level decision-making.

A highly visual Kanban board template designed for agile project and workflow management, similar to Trello. It features four distinct columns (To Do, In Progress, In Review, Done) to track the lifecycle of tasks. Users can filter by assignee, label, and search, and optionally group cards using swimlanes for enhanced clarity during operational sprints and team coordination.

This skill integrates with DeepAPI to facilitate advanced web scraping, market research, and controlled email workflows. It handles scraping data from various sources like websites, LinkedIn, GitHub, and Twitter, while managing costs and ensuring explicit user approval for sensitive actions like sending emails. Use it for robust data extraction and automated reporting.

A comprehensive suite designed for AI agents to perform safe, deep, and multi-format web searches. It allows agents to retrieve current web information, analyze PDFs, extract YouTube transcripts, and access GitHub code files. Instructions include guidelines for varying search depths and using specialized tools for code context retrieval.

This skill converts ambiguous or general research needs into a single, highly precise, self-contained prompt. It guides the user to define the project context, the core question, and specific sub-questions, ensuring the resulting prompt is rigorous enough for deep, multi-source AI research, minimizing ambiguity and guesswork.

This skill executes the DeepSWE benchmark, a comprehensive coding-agent evaluation suite. It uses OpenRouter and mini-swe-agent to score various Large Language Models (LLMs) on 113 tasks, providing reproducible results for model comparison, development assessment, and research benchmarking. Use this when a standardized, deep evaluation of LLM coding capabilities is required.

A comprehensive tool for querying, storing, and managing complex knowledge across multiple agent sessions. AgentDB utilizes advanced techniques including semantic routing, hierarchical recall, causal graph construction, and context synthesis. Use this skill when your application requires robust, multi-faceted knowledge retrieval and reasoning based on structured and unstructured data. It provides a structured workflow for checking system health, starting sessions, storing knowledge in tiers (working, episodic, semantic), and searching learned patterns.

This tool performs a deep, recursive, and parallel investigation, building a comprehensive graph-structured dossier around a specified seed entity. It expands outward across diverse sources, including web search, internal memory stores, codebases, and knowledge graphs. It captures all connected entities and the provenance of every claim, making it ideal for mapping the full context or relationship network of a subject.

This skill provides a detailed, side-by-side comparison of advanced LLM agent evaluation frameworks, such as ruflo and HAL. It helps researchers and developers identify capability gaps—including real code execution, full web browsing, and structured file parsing—and prioritize architectural improvements for robust agent benchmarking and performance tracking.

This advanced workflow is designed to generate comprehensive, fact-checked research reports on any complex topic. It systematically performs fan-out web searches across multiple defined angles, fetches multiple sources, and employs a rigorous adversarial verification system (3-vote) to validate claims. The final output is a highly cited, synthesized report, ideal for academic or critical business research.

A robust framework designed to track complex, long-running objectives that span multiple sessions, weeks, or even months. It manages goals through structured milestones, maintains persistent progress records, and includes critical drift detection to ensure projects stay on target and scope creep is managed effectively. Ideal for research programs, migration projects, or multi-stage development initiatives.