Skill UI

This methodology establishes a single, authoritative, machine-checkable source of truth for service contracts (APIs or events). It guides parallel development between consumers and providers, ensuring schema stability and preventing field drift or integration surprises. Key artifacts include OpenAPI, AsyncAPI, and JSON Schema, making the contract the primary artifact for all teams to reference.

This utility allows agents or desks to emit structured signals (e.g., hands-up, blocked, done, checkpoint) in JSON format. These signals are crucial for real-time dashboard consumption, providing the operator or coordinator with immediate, actionable insights into the work status, disagreement points, or required attention levels of various work units. It also supports optional 'outcome signals' for self-assessment calibration.

A robust, on-device solution for processing large-scale clinical text corpora. Supports batch NER, PII extraction, and de-identification over thousands of notes. Features include sharding, checkpointing, resumable functionality, and streaming results to JSONL, ensuring PHI safety and constant memory usage for massive datasets.

A specialized downstream skill for deep security analysis of JSON Web Tokens (JWT), JWS, and JWE. It guides the identification of vulnerabilities where token components (headers, claims, keying) lead to unauthorized identity assumption or privilege escalation. Use this to trace the full path from token supply to final application acceptance.

This tool de-identifies sensitive free-text columns (e.g., names, dates, identifiers) in local structured datasets (CSV, JSONL, Parquet) using advanced OpenMed models. It ensures strict privacy by generating a completely redacted dataset and a separate PHI-free aggregate summary, allowing for secure data sharing and analysis without compromising source privacy or logging sensitive values.

This local developer tool inspects dependency manifests (requirements.txt, pyproject.toml, package.json) for surface-level issues like standard-library shadowing, unpinned dependencies, and conflicts. It provides plain-language explanations and suggested fixes, helping developers debug dependency rot before deeper installation attempts.

This skill facilitates the extraction of population-scale (cohort-level) clinical text from Electronic Health Records (EHR) or FHIR data warehouses using the FHIR Bulk Data Access ($export) operation. It manages the asynchronous job kickoff, polling, and downloading of NDJSON files. The resulting data stream is designed to be fed in batches into OpenMed for mandatory de-identification and Named Entity Recognition (NER) analysis.

Guide the configuration, connection, validation, and repair of Claude Desktop and MCP servers using Desktop Commander. Inspect and fix mcp.json and configuration files, troubleshoot connection issues, verify model/API keys, and cover local AI gateways like OpenClaw and Hermes.

Configures Dataverse environment variables for Power Pages site settings to support ALM across dev, staging, and prod. Creates definitions, links site settings via OData, adds to solution, and generates deployment-settings.json per-stage.

One-shot chat completion against DeepSeek's deepseek-chat model via the OpenAI-compatible chat completions endpoint. Designed for non-reasoning tasks such as summarization, extraction, and quick classification, with JSON output, environment-based API key handling, and graceful degradation when the API is unavailable.

Learn to use SuperDoc CLI v1 to edit, query, and transform Word (.docx) documents. Covers stateful/stateless workflows, text replacement, formatting, comments, track changes, and history operations with JSON-based target addressing.

This utility generates self-contained, visual HTML widgets for displaying the output of various tools (MCP tools). It takes a user's desired visual description and the tool's JSON test output to create an interactive, visually rich card that enhances the chat experience.