Skill UI

This deterministic gate performs an internal pre-compile readiness check for LaTeX manuscripts. It validates crucial elements such as document structure, citation presence, and a language-aware minimum body scale relative to the target page count. While it helps drive authoring repairs, it explicitly does not claim the final page count; the compile_pdf process remains the authoritative source for page validation.

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 internal gate performs a deterministic, early check on the readiness of source materials for meta-paper writing. It runs after source curation and before expensive section generation, verifying that the curated, verifiable bibliography meets the required numeric citation target and structural criteria. This prevents costly generation attempts if the source coverage is insufficient or invalid.

This advanced skill provides systematic, adversarial verification for AI-generated legal documents. It rigorously checks factual accuracy, legal citations, numerical data, and source authenticity against authoritative databases. Use this when you need to perform red-teaming, fact-check, or quality-control complex legal analyses, compliance reports, or regulatory summaries before any external distribution.

This skill provides a rigorous, verification-first methodology for citing and analyzing documents related to the Reg. 64 Panels in the Kosovo district courts (2000–2008). It emphasizes differentiating this early international judicial mechanism from later bodies like the KSC, and mandates cross-verification of citations against primary Tier 1 sources such as UNMIK and EULEX archives for accuracy and context.

This skill provides a rigorous, verification-first methodology for citing and analyzing legal precedents from the Special Court for Sierra Leone (SCSL) and its Residual Special Court (RSCSL). It covers landmark international jurisprudence concerning child soldiers, forced marriage, head-of-state immunity, and the joint criminal enterprise doctrine, ensuring citations are verified against official legal repositories. Ideal for academic research and international law writing.

This skill forces the AI to operate in a non-inferential mode, ensuring every claim—factual, legal, or numerical—is strictly anchored to user-provided materials or verified online sources. It eliminates assumptions, gap-filling, and background knowledge reliance, making it essential for legal research, evidence review, citation checking, and high-stakes document analysis where evidential fidelity is paramount.

A verification-first guide for researching and citing legal documents related to the Special Panels for Serious Crimes (SPSC) in Timor-Leste. It outlines a rigorous, multi-step process for verifying judgments, indictments, and foundational UNTAET regulations, ensuring citations trace back to authoritative Tier 1 sources for post-conflict accountability and transitional justice.

This skill establishes the authoritative methodology for citing and analyzing the Special Panels for Serious Crimes (SPSC) of the Dili District Court, East Timor. It guides users through a rigorous, multi-step verification process, requiring cross-referencing with Tier 1 sources (e.g., JSMP, UNTAET archives) to ensure citation accuracy. It is foundational for understanding international justice mechanisms in post-conflict transition settings, particularly concerning war crimes and crimes against humanity.

This skill provides a rigorous, multi-step methodology for verifying and citing legal documents related to the Special Tribunal for Lebanon (STL). It guides users through complex international criminal cases (e.g., Ayyash et al., 2011 Decision) by establishing strict citation standards. The process requires verifying sources against dedicated legal archives (stl-tsl.org, legal-tools.org) and defining citation levels (existence, content, paragraph), ensuring academic and legal accuracy for international justice research.

Generates official-format practice exam subjects for the CRFPA French bar exam, covering contract law and specialty law fields, complete with 20-point grading rubrics and verified legal citations.

This skill guides the extraction of structured data from multiple documents (PDF, DOCX) into a comprehensive, cited Excel matrix. It is ideal for legal, contractual, or research review processes where users need to compare specific clauses, provisions, or pieces of information across numerous source files, ensuring every extracted data point includes a citation (page number and context quote) for verifiable accuracy.