Access Cellosaurus database for cell line information and release data. Invoke when user asks to search cell lines, get cell line details by accession, or check database release info.

Auto-generates comparison tables for concepts, drugs, or study results.

Monitor competitor clinical trial progress and alert on market risks.

Access ENCORI (StarBase) database for miRNA-target, RNA-RNA, and other regulatory data. Invoke when user asks to search ENCORI or retrieve regulatory interactions.

Search FDA industry guidelines by therapeutic area or topic.

Retrieves comprehensive gene information including PubMed publication counts, NCBI summaries, and Ensembl transcript data. Supports batch processing and file input. Invoke when the user asks for gene details, publication statistics, or needs to analyze a list of genes.

NIH funding trend analysis to identify high-priority research areas.

Summarize core safety information from Investigator's Brochures for clinical.

Generates comprehensive academic introductions for biological pathways, including signaling processes, markers, and inhibitors. Use when the user asks to introduce a pathway, molecule, or gene.

Query and annotate gene variants from ClinVar and dbSNP databases. \n\.

Cloud laboratory platform for automated protein testing and validation; use when you have designed protein sequences and need wet-lab experimental validation (e.g., binding, expression, thermostability, enzyme activity) and API-based submission/status/result retrieval.

Unified tool for calculating sample sizes for Diagnostic, Efficacy, Etiology, and Prognosis clinical studies. Supports various statistical methods (Sensitivity/Specificity, Log-rank, Chi-square, EPV, etc.).

Generates academic conference tweets and summaries by filtering abstracts, translating content, and creating engaging titles. Use when you need to process conference abstracts into social media content.

A Pythonic wrapper around RDKit with simplified interfaces and sensible defaults. Preferred for standard drug discovery workflows including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformer generation, and parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

Generates professional interview titles and questions based on expert background and topic. Provides a structured workflow for interview preparation.

Fetch and save the original HTML of scientific literature webpages when given a URL, DOI, or PubMed PMID (triggered when you need archival-grade page HTML for downstream parsing or review).

Generates compliant medical case report articles for WeChat.

Generates a patient-friendly medical case report tweet from case images and disease name. Use when the user provides a medical case image and wants a structured report or tweet.

Convert research paper PDFs into literature-report PPTX decks using a fully offline workflow (extract text/figures, map captions, summarize findings, and generate slides). Use when you need to turn a PDF into a presentation deck, especially for scientific articles with figures and tables.

Generates science popularization articles with titles and outlines based on medical topics and style preferences. Invoke when user needs to create medical/science popular content for public education.

Generate popular science short video scripts based on topic, duration, and style. Invoke when the user needs to create scripts for short science videos.

> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)

Assists researchers in generating INPLASY registration content for meta-analyses from a title and optional protocol. Use when the user wants to draft a INPLASY registration form.

'Explain AgentOps operating model, lifecycle, skills, hooks, and context.'

'Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.'

'Use bd issue tracking: create, update, route, and close dependency-aware beads.'

'Initialize AgentOps project files, goals, product docs, README, hooks, and .agents state.'

'Separate goals from implementation; explore options and capture design decisions.'

'Investigate bugs or audit code with repro evidence, root cause analysis, and fixes.'

'Coordinate 2+ Codex agents on bounded parallel tasks with file ownership.'

'Convert AgentOps skills between Codex, Cursor, and raw bundle formats.'

'Audit, update, and validate dependencies, vulnerabilities, and licenses.'

'Validate product fit before discovery using PRODUCT.md and scope checks.'

'Orchestrate brainstorm, research, plan, and pre-mortem into an execution packet.'

'Generate, sync, and validate docs against repo evidence.'

'Run autonomous improvement: goals, planning, implementation, validation, repeat.'

'Check knowledge flywheel health, velocity, staleness, and pool depth.'

'Mine transcripts and artifacts into reusable learnings, decisions, and patterns.'

'Maintain GOALS.yaml and GOALS.md fitness specs, directives, and drift.'

'Create compact session handoffs for continuation after pause or compaction.'

'Implement one tracked issue with focused edits, tests, and closure evidence.'

'Turn a mature .agents corpus into packets, belief books, briefings, and gaps.'

'Build an external-knowledge wiki from clipped articles, papers, and transcripts.'

'Use official OpenAI docs for API/product questions needing current citations.'

'Scaffold or audit open source docs such as README, CONTRIBUTING, and changelog.'

'Decompose goals into issue-ready plans, waves, dependencies, and validation checks.'

'Review completed work, capture learnings, and feed follow-up knowledge.'

'Plan an open source PR with scope, acceptance criteria, and risk.'

'Prepare PR commits, validation evidence, and review-ready PR body.'

'Research an upstream repo before contributing: rules, patterns, and expectations.'