Skill Claude CodeCodex
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…
Skill Claude CodeCodex
Systematic literature search, synthesis, gap identification, and narrative construction for academic research.
Skill Claude CodeCodex
Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access…
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
Build knowledge bases that build software — research before code, teach before execute.
Skill Claude CodeCodex
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract…
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
Manuscripts evolve terminology that may not match what was actually administered.
Skill Claude CodeCodex
This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.
Skill Claude CodeCodex
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks.
Skill Claude CodeCodex
Patterns for adding safety, trust, and policy enforcement to AI agent systems -- control which tools agents can call, what content they process, and maintain accountability through audit trails.
Skill Claude CodeCodex
This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to…
Skill Claude CodeCodex
Generate and verify integrity manifests for AI agent plugins and tools -- detect tampering, enforce version pinning, and establish supply chain provenance (the SLSA/Sigstore gap for agent ecosystems).
Skill Claude CodeCodex
This skill should be used for the tool-interface layer of an agent system specifically: writing tool descriptions agents can route on, designing tool schemas and response formats, naming conventions, actionable error recovery messages, MCP server design, tool-set consolidation, and deciding when to add or remove an…
Skill Claude CodeCodex
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.
Skill Claude CodeCodex
Patterns for agent self-improvement through iterative evaluation and refinement -- generate, evaluate, critique, refine loops that move beyond single-shot generation.
Skill Claude CodeCodex
Design autonomous AI agents that reason, plan, and execute tasks.
Command
Compare current models across configured AI providers and produce an executable plan without running paid work. Use when the user asks which model or provider should perform a task.
Command
Review and execute a model task plan through configured providers after explicit consent. Use when the user has a plan and asks to run, monitor, cancel, or retrieve its work.
Command
Configure selected AI Operations providers and preview exact ElevenLabs runtime provisioning. Use after plugin installation or when provider authentication or runtime readiness is missing.
Skill Claude CodeCodex
Plan AI model work across Microsoft Foundry, Hugging Face, and ElevenLabs using live provider evidence. Use when choosing a model or provider, comparing cross-provider options, decomposing multimodal work, estimating constraints, or preparing an executable plan before any paid service call.
Skill Claude CodeCodex
Execute an approved model task plan through Microsoft Foundry, Hugging Face, or ElevenLabs and record provider evidence. Use after model-router emits a valid plan and the user wants to run it, monitor jobs, cancel work, download outputs, or apply an approved fallback.
Skill Claude CodeCodex
Configure optional Microsoft Foundry, Hugging Face, and ElevenLabs provider access for AI Operations. Use after installing the plugin, when a provider is unavailable, when auditing authentication, or when previewing and provisioning the exact ElevenLabs private runtime.
Skill Claude CodeCodex
This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cognitive agents, BDI ontologies, and neuro-symbolic AI integration.