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Found 85 Skills
Systematic retrieval expert covering all areas of Chinese law. ## Core Features - Supports user identity recognition (ordinary person/law student/lawyer/judge/prosecutor) - Provides differentiated services based on different identities - Complete legal source retrieval (laws/administrative regulations/judicial interpretations/guiding cases/typical cases) - Original legal article citation and cross-reference sorting ## Core Trigger Conditions (Trigger if any is met) **High Priority (Must Trigger)**: - Explicit request to find legal articles/regulations/judicial interpretations/regulatory documents - Request to determine legality/illegality ("Is it illegal?""Is it legal?""Am I liable?") - Request to find compensation standards/compensation amounts/liability determination/procedural requirements - Asking "Based on which law?""What does the law stipulate?""What is the legal basis?" **Medium Priority (Trigger based on context)**: - "What to do?""How to defend rights?""Can I sue?" - "What procedures are needed?""What conditions are required?" - "What else can I claim?""Where can I file a complaint?" ## Application Scenarios - Labor disputes: illegal termination, economic compensation, work-related injuries, social security, job transfer, etc. - Contract disputes: deposit, liquidated damages, breach of contract liability, sales contracts, etc. - Tort liability: traffic accidents, personal injury, medical accidents, environmental pollution, etc. - Marriage and family: divorce property, child custody, estate inheritance, etc. - Administrative/criminal/corporate finance, etc. ## Non-Triggering Scenarios - Only asking about legal concepts/terminology explanations (not retrieval-related) - Only requesting lawyer/legal service recommendations - Only discussing legal news/case stories (not involving specific regulations) - Only asking about legal examination/study questions **Note**: Even if the user does not explicitly request a "retrieval report", this skill will be triggered as long as the issue involves searching, organizing, interpreting, or applying legal norms.
Use when searching codebases (text, structural/AST, files by name, PDFs/archives, code stats) or building context before a task.
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 9-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
Design research plans and paper architectures. Given a research topic or idea, generate structured plans with methodology outlines, paper structure, dependency-ordered task lists, UML diagrams, and experiment designs. Use when starting a new research project or paper.
Discover scientific equations from data using LLM-guided evolutionary search (LLM-SR). Multi-island algorithm with softmax-based cluster sampling, island reset, and LLM-proposed equation mutations. Use for symbolic regression and equation discovery.
Formal mathematical reasoning for research papers — derive equations, write proofs, formalize problem settings, select statistical tests, and generate LaTeX math notation. Use when the user needs mathematical derivations, theorem proofs, notation tables, or statistical analysis formalization.
Convert a completed paper into presentation slides (Beamer LaTeX) or poster. Extract key figures, tables, equations, and create a narrative flow for oral presentation. Identified gap in existing tools — designed from best practices.
Debug experiment code with structured error analysis. Categorize errors, apply targeted fixes with retry logic, and use reflection to prevent recurring issues. Use when experiment code fails or produces incorrect results.
Handle LaTeX formatting, templates, and styling for academic papers. Set up conference templates (ICML, ICLR, NeurIPS, AAAI, ACL), fix formatting issues, manage packages, and ensure venue-specific compliance. Use when the user needs to set up a paper template, fix LaTeX formatting, or prepare for submission.
Multi-source search and deduplication layer with intent-aware scoring. Integrates Brave Search (web_search), Exa, Tavily, and Grok to provide high-coverage, high-quality results. Automatically classifies query intent and adjusts search strategy, scoring weights, and result synthesis accordingly. Activated for "deep search", "multi-source search", or when high-quality research is needed.
USE FOR web search. Returns ranked results with snippets, URLs, thumbnails. Supports freshness filters, SafeSearch, Goggles for custom ranking, pagination. Primary search endpoint.