Skill UI

This skill automatically scans all defined user and project skills (from SKILL.md files) to create a comprehensive, centralized index. It manages skill paths, triggers, descriptions, and scopes, ensuring that downstream agents and delegators always have an up-to-date source of truth for available functionalities. It is crucial for maintaining system integrity and avoiding redundant skill definitions.

DataLad manages scientific datasets using Git and git-annex, handling large files efficiently by storing content remotely. It captures computational provenance for reproducible analysis, allowing users to clone, fetch, and publish datasets from repositories like OpenNeuro. Ideal for managing large data files and ensuring analysis reproducibility.

Design custom laboratory hardware components using parametric Python models with build123d. Export fabrication-ready files like STEP, STL, and DXF for microfluidic chips, mounts, and adapters. Ensure precise interface dimensions against standards for compatibility with lab equipment. Use for physical parts mating with standardized labware, optical tables, or manufacturing processes.

Read-only diagnosis for OpenViking memory issues: trace backward from a memory file to its archive memory_diff.json, then to session messages when needed. Use it for incorrect content, wrong paths or owners, missing memories, and unexplained updates or deletes.

This portable skill enables the AI to utilize standard file tools to examine and analyze the current project structure. It allows for inspecting code files, configuration settings, and documentation directly within the workspace. This fixture skill ensures stability and reliability when performing file-based operations during development tasks.

This skill helps maintainers verify reported bugs in the mcp-toolbox project. It involves analyzing issue reports, checking versions and configurations, and attempting local reproduction to determine if the bug is real, fixed, or misconfigured. The process requires citing specific evidence like file paths and commit SHAs to support verdicts such as confirmed, already-fixed, or client-side issues. It ensures efficient bug triage without unnecessary infrastructure setup.

Work with Outpost Bio's open microbiome foundation models: embed taxonomic profiles, fine-tune Waypoint checkpoints, benchmark on Compass, pretrain on Atlas, and convert MetaPhlAn, Kraken2, QIIME 2, or MGnify tables via the waypoint CLI.

This skill helps identify issues in Superpowers sessions by analyzing transcripts and evidence. It assists in troubleshooting problems like repeated work, ignored plans, or unexpected costs. The process involves locating session files, triaging dimensions, generating detailed reports, and optionally creating GitHub issues or export bundles for maintainers. All findings must cite specific paths and lines.

This tool assists arbitration counsel and selection teams in researching investor-State dispute settlement (ISDS) arbitrators. It summarizes arbitrator experience based on primary documents and helps shortlist candidates for specific cases. Features include profile generation, issue track records, and verification of appointments and dissents. Grounded in UNCTAD and ICSID data, it supports decision-making without providing legal advice.

This skill audits Terms of Service, user agreements, and privacy policies to identify consumer risks. It flags unfair clauses, data traps, and liability issues. Users can paste text or provide file paths. The agent generates a structured report highlighting specific risks like auto-renewal traps, covert data authorization, and unilateral amendment rights from a consumer perspective.

Audit and fix a site's readiness for AI browsing agents: the Lighthouse Agentic Browsing fraction, accessibility tree, robots.txt and Content-Signal, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known files and WebMCP tools.