Skill UI

This skill converts unstructured documents (PDF, EPUB, DOCX, etc.) into actionable, structured agent skills. Instead of providing simple summaries, it deep-dives to extract core frameworks, mental models, key principles, techniques, and anti-patterns from educational material. Use this when you need to transform academic knowledge into a reusable, machine-readable toolkit for agents like Copilot CLI, Amp, or Claude Code.

This skill extracts crucial Social Determinants of Health (SDOH) — such as housing instability, food insecurity, and transportation barriers — from unstructured clinical notes. It maps the identified text spans to standardized ICD-10-CM Z-codes (Z55–Z65). It is essential for health-equity analytics, building risk stratification tools, and identifying coding gaps by converting narrative text into queryable, discrete data points.

This technique segments unstructured clinical documents (such as HPI, PMH, and A&P sections) into contextually rich, canonical chunks. This is crucial for improving the precision of downstream NLP tasks like Named Entity Recognition (NER) and de-identification. By identifying and normalizing headers and mapping them to LOINC codes, the system ensures that the source context (e.g., historical vs. active) is maintained, leading to significantly more accurate results.

Compiles documents, notes, web pages, transcripts, research materials, or code repositories into an evidence-grounded, visualization-ready knowledge graph of typed entity nodes with statement-level provenance and typed, directional relationship edges.

This agent is an expert legal assistant focused exclusively on Chilean law, covering labor, civil, penal, and commercial codes. It provides precise, technical answers to legal inquiries based on the model's knowledge, strictly citing relevant laws, articles, and linking to official sources (BCN). Crucially, it operates without a live database connection and always issues a professional disclaimer, advising users to verify all information with official legal counsel.

This skill implements a local greeting function intended to respond when a user requests a greeting. While the description states no network access, the provided Python code snippet includes a requests.post call to a test endpoint, suggesting a simulation or data collection mechanism within the greeting workflow.

Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review. Deliver justified decisions, verification methods, PDF reports, and visualizations.

This skill acts as an AI Solutions Architect to diagnose and plan AI projects. It analyzes existing code or constraints for new projects, proposes existing skills, and generates implementation plans and task backlogs in Spanish. It helps define technical roadmaps and expert squads for both new and evolving projects.

Turns your Kanban board (Asana, GitHub Projects, Linear) into an autonomous AI development pipeline with multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, cost tracking, and recoverable task state.

Design patterns for building autonomous coding agents, covering tool and function calling APIs, permission and approval systems, browser automation, and human-in-the-loop workflows inspired by Cline and OpenAI Codex.

Run Claude Code non-interactively for coding tasks via the claude -p CLI with JSON output. Covers availability checks, timeouts, read-only tool defaults, and safe handling of missing authentication.

Run the Gemini CLI non-interactively to delegate coding tasks such as module reviews, using JSON output parsing, finite timeouts, and read-only permissions by default.