Skill UI

Generates structured RFC documents to propose and decide on major technical or process changes, guiding stakeholders through options, criteria, and approvals before execution.

LEX is a structured truth engine designed to eliminate legal hallucinations by grounding AI agents in verified government references and legislation across 29+ jurisdictions (including US, EU, and CA). It provides deterministic context for comparing legal requirements, drafting compliant business, and employment documents, ensuring high jurisdictional accuracy.

YES.md is an AI governance engine that layers safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks so assistants verify fixes, avoid guesses, and document consequences before touching configs, deployments, or sensitive data.

Documented best practices for building applications with Anthropic Claude via Python and TypeScript SDKs, covering messaging, streaming, tools, vision, reasoning, caching, batching, and Agent workflows to optimize prompts, tokens, and cost.

Leverages firecrawl and exa MCP tools to run focused multi-source searches, scrape key documents, and synthesize citation-backed reports whenever a user needs thorough evidence-based research on any topic.

Guide for creating bit-for-bit copies of disks with dd or dcfldd while enforcing write protection, documenting sources, and verifying hashes to preserve evidence during incident response or legal work.

Analyzes VBA and XLM macro malware hidden in Office documents to reveal download URLs, execution chains, persistence tactics, and anti-analysis tricks for informed incident response.

Extract Outlook PST/OST evidence via libpff, pst-utils, and forensic tooling to recover deleted items, headers, attachments, and metadata that help incident responders and legal teams document email-based investigations.

Investigate trojanized updates, compromised build artifacts, and sideloaded dependencies to identify intrusion vectors, compare binaries, document code signing anomalies, and extract IOCs for detection rule development.

This skill executes an autonomous, iterative research review loop, simulating a rigorous peer-review process. It repeatedly uses an external OpenAI-compatible LLM via API calls to score, critique, and identify weaknesses in a given research topic or document. The process continues to refine the content by implementing suggested fixes until the LLM provides a positive assessment or the maximum round limit is reached. Ideal for academic writing, technical documentation, and refining complex proposals.

Guides cybersecurity teams to design reusable incident response playbooks aligned with NIST SP 800-61r3 and SANS PICERL, covering structured procedures, decision trees, escalation rules, RACI matrices, and SOAR automation for documented, auditable IR readiness.

Provides a vulnerability exception and risk acceptance tracker with approval workflows, compensating controls documentation, notifications, and expiration management to keep accepted risks visible for compliance teams.