Skill UI

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.

A guided tool to manage and progress through a structured, multi-module technical learning curriculum. It tracks prerequisites, requires recording concrete evidence artifacts for completion, and implements spaced repetition reviews to ensure long-term knowledge retention in coding practices.

This skill provides a critical audit layer governing the transition of AI-generated legal output from analysis to real-world consequence. It mandates a rigorous check of evidence sufficiency, institutional authority, procedural adherence, and visible uncertainty before any output can become a reliance, recommendation, or executed commitment. It is essential for high-stakes legal workflows, such as contract review, compliance findings, or drafting final advice.

This skill assists legal professionals and mediators in conducting comprehensive dispute analysis. By reviewing case materials—including contracts, pleadings, and evidence—it identifies the core issues, underlying interests of all parties, and relevant legal principles. It focuses on developing practical, resolution-oriented strategies for mediation or settlement, moving beyond mere legal rights.

A comprehensive guide for red team operators detailing techniques to manipulate, clear, or destroy digital evidence on Windows and Linux systems. Covers clearing Windows Event Logs (wevtutil), manipulating Linux system logs, timestamp forgery, file system scrubbing, and memory artifact removal. Essential for understanding advanced evasion methods and achieving operational security during authorized engagements.

This internal, deterministic gate enforces academic rigor before manuscript compilation. It audits the input, rejecting unsupported empirical claims, missing citation verdicts, or concrete outcome numbers that lack user evidence. It ensures that generated scientific papers only present validated results, blocking unsupported quantitative or qualitative assertions.

This skill facilitates a Product Manager-focused Socratic interview to extract detailed requirements and generate a comprehensive Product Requirements Document (PRD). It automatically classifies questions and gathers evidence from code and data contexts without writing implementation code. Suitable for defining product scope, features, and specifications for development teams.

A systematic post-hoc audit skill for verifying factual, legal, and interpretive claims generated by AI. Designed for professional reliance—such as legal briefs or published advice—it classifies claims by type (empirical, legal, interpretive) and salience, searches for corroborating evidence using tiered, domain-appropriate sources (e.g., NICE guidelines, primary legislation), and scores the trustworthiness of the output before professional use.

A sophisticated model-routing advisor for generating, redlining, or rewriting contract language. It determines the optimal LLM based on user constraints (stakes, cost, speed, jurisdiction) and grounds its recommendations in legal benchmarking evidence. It provides a primary model, fallback, and critical warnings.

This skill simulates an experienced litigation solicitor reviewing a proposed settlement offer. It rigorously stress-tests the underlying assumptions, identifying potential weaknesses in evidence, legal merits, opponent leverage, and timing pressures. It provides a structured, candid assessment to ensure better-informed decision-making before negotiation.

skill-doctor grades the performance and quality of an AI agent setup using real, local conversation history (e.g., Claude Code/Codex sessions). It scores skills against defined rubrics for efficiency and code quality, drafts evidence-backed suggestions for improvement, and generates a comprehensive, shareable local report. All processing is strictly local and private.

An expert assistant for mastering SOC 2 compliance, covering all five Trust Services Criteria (Security, Availability, Confidentiality, Processing Integrity, Privacy). Use this skill for gap analysis, drafting policies, documenting controls, gathering audit evidence, and conducting vendor risk reviews, guiding organizations from initial assessment to sustained compliance readiness.