98 skills
tools
Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.
development
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.
development
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
tools
Create comprehensive industry and sector landscape reports covering market dynamics, competitive positioning, key players, and thematic trends. Use for client requests, sector initiations, thematic research pieces, or internal knowledge building. Triggers on "sector overview", "industry report", "market landscape", "sector analysis", "industry deep dive", or "thematic research".
testing
Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".
testing
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
tools
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
data-ai
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
data-ai
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
testing
Comprehensive guide for writing systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides paragraph-level structural blueprints, writing patterns, venue-specific checklists, reviewer guidelines, LaTeX templates, and conference deadlines. Use this skill for all systems conference paper writing.
development
Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.
development
Canonical rules and HTML/CSS contract for inline `[n]` citation references, end-of-document Citations blocks, and optional per-section citation recaps used across Moody's Agentic Solutions HTML report skills (earnings-brief, peer-analysis, issuer-brief, sector-brief). Parent skills must read BOTH this `SKILL.md` (rules, numbering, hyperlink behavior, source data shape) AND `assets/template.html` (canonical CSS block + literal HTML markup snippets) before emitting citations. The asset file is the single source of truth for the visual/markup implementation; this `SKILL.md` is the single source of truth for the authoring rules. Triggers when the user asks about citations, sources, references, footnotes, hyperlinking [n] markers, or the Sources/Citations block in any HTML report skill.
tools
Guide for setup arXiv paper search MCP server using Docker MCP
development
Take a list of projects and their related documentation, and organize them into the SRED format for submission.
development
Take a list of projects and their related documentation, and organize them into the SRED format for submission.
tools
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progressive complexity scenarios. Use when: (1) Demonstrating AI-powered legal triage or intake systems, (2) Showcasing responsible AI-assisted client interactions, (3) Training staff on appropriate AI use in legal contexts, (4) Creating realistic scenarios for legal tech presentations, (5) Developing educational materials about AI in legal services, or (6) Testing AI-powered legal information systems in controlled environments.
development
Use to produce the root-cause analysis narrative for a resolved or mitigated Zava Learning incident — the incident timeline, the trigger vs. latent root cause (5-Whys), contributing factors, and how to present them. Defines the RCA section format; its output is used in the before/after, recommendations, and reporting deliverables.
testing
Use to keep the triggering PagerDuty incident in sync with the investigation and to close it out — acknowledge on engagement, mark the incident Mitigated the moment the live fix lands, post a concise symptom-only status/summary note (diagnosis, mitigation, links to the PR / Change Request), and resolve the incident only after the RCA and summary report are complete and recovery is verified. This is the PagerDuty communication and closure layer for a Zava Learning incident.
development
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
development
Compile current scholarly evidence for a scientific manuscript or research brief. Use when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source verification, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.