GITHUB AGENT SKILLS / 技能收录
给你的 AI 助手
装上专业技能
我们从 GitHub 持续收录、审核并分类优质的 Agent Skills，按职业与使用场景整理，复制一行命令即可安装到 Claude Code、Cursor 等智能体。
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Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196852
tooluniverse-electron-microscopy
Search and analyze cryo-EM maps, single particle structures, tomography datasets, and raw micrograph data from EMDB, EMPIAR, and CryoET Data Portal. Cross-reference with PDB structures and AlphaFold predictions. Use for cryo-EM map discovery, structure fitting analysis, raw data access, and tomography exploration.
software-architecture-documentation
This skill should be used when creating, reviewing, or updating architecture documentation (ARCHITECTURE.md) for a software project. It provides a comprehensive template and best practices for producing documentation that enables rapid codebase comprehension by developers and AI agents.
tooluniverse-ecology-biodiversity
Ecology, biodiversity, and conservation biology research — species identification, invasive species assessment, pollinator ecology, population dynamics, food webs, trophic interactions, community ecology, island biogeography. Use for ANY ecology question including species distributions, invasive impacts, pollination biology, predator-prey dynamics, or conservation assessment.
tooluniverse-drug-target-validation
Comprehensive computational validation of drug targets for early-stage drug discovery. Evaluates targets across 10 dimensions (disambiguation, disease association, druggability, chemical matter, clinical precedent, safety, pathway context, validation evidence, structural insights, validation roadmap) using 60+ ToolUniverse tools. Produces a quantitative Target Validation Score (0-100) with GO/NO-GO recommendation. Use when users ask about target validation, druggability assessment, target prioritization, or "is X a good drug target for Y?"
tooluniverse-drug-research
Generates comprehensive drug research reports with compound disambiguation, evidence grading, and mandatory completeness sections. Covers identity, chemistry, pharmacology, targets, clinical trials, safety, pharmacogenomics, and ADMET properties. Use when users ask about drugs, medications, therapeutics, or need drug profiling, safety assessment, or clinical development research.
skill-installer
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
tooluniverse-drug-repurposing
Identify drug repurposing candidates using ToolUniverse for target-based, compound-based, and disease-driven strategies. Searches existing drugs for new therapeutic indications by analyzing targets, bioactivity, safety profiles, and literature evidence. Use when exploring drug repurposing opportunities, finding new indications for approved drugs, or when users mention drug repositioning, off-label uses, or therapeutic alternatives.
raffle-winner-picker
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
tooluniverse-drug-regulatory
Drug regulatory and approval research -- FDA substance registry lookup, drug classification by ATC/EPC/MoA via RxClass, Orange Book generic availability and patent status, DailyMed label parsing (adverse reactions, dosing, contraindications), and clinical trial search. Use when users ask about FDA-approved drugs, drug regulatory status, generic availability, patent expiration, drug class membership, drug labeling, or substance identification.
tooluniverse-drug-mechanism-research
Drug mechanism of action investigation -- systematic strategy to trace a drug from its primary target through pathways to clinical outcomes, identify off-target effects, and combine regulatory labels with literature evidence for a complete mechanism picture.
tooluniverse-drug-drug-interaction
Comprehensive drug-drug interaction (DDI) prediction and risk assessment. Analyzes interaction mechanisms (CYP450, transporters, pharmacodynamic), severity classification, clinical evidence grading, and provides management strategies. Supports single drug pairs, polypharmacy analysis (3+ drugs), and alternative drug recommendations. Use when users ask about drug interactions, medication safety, polypharmacy risks, or need DDI assessment for clinical decision support.
tooluniverse-disease-research
Generate comprehensive disease research reports using 100+ ToolUniverse tools. Creates a detailed markdown report file and progressively updates it with findings from 10 research dimensions. All information includes source references. Use when users ask about diseases, syndromes, or need systematic disease analysis.
naive-memory
This skill should be used at the end of a session (or when explicitly asked) to persist generalizable, repository-specific knowledge to .genai/memory.md. It acts as a note-to-self scratchpad for LLMs, capturing lessons learned so future sessions start with useful context. At the start of any session, check if .genai/memory.md exists in the repository root — it may contain valuable context from previous sessions.
meeting-insights-analyzer
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
tooluniverse-dataset-discovery
Find and evaluate research datasets for any scientific question. Teaches how to reason about data needs, search across public repositories, evaluate dataset fitness, and identify access requirements. Use whenever users ask to find data, search for datasets, identify cohort studies, or need data for analysis. Also use when users ask about a specific survey or cohort (NHANES, HRS, UK Biobank, TCGA, etc.), when they want to know what data exists for a research question, or when they need to compare available data sources. If the user mentions "where can I get data" or "is there a dataset for X", this is the right skill.
tooluniverse-data-wrangling
Universal data access reference for scientific research. Teaches how to download bulk data, parse any scientific file format (VCF, h5ad, mzML, PDB, FASTA, XPT, NIfTI, and 30+ more), paginate REST APIs, and handle authentication. Covers 24 domain API patterns across ALL life science data sources — genomics, proteomics, clinical, imaging, ecology, and more. Use this skill whenever you need to download raw data, parse a file format, access a bulk API, write a multi-step data retrieval workflow, or when a ToolUniverse tool returns metadata but you need the actual data. Also use when the data source has no ToolUniverse tool at all. Even if the user doesn't say "data wrangling" — if their task requires getting data from a scientific database or parsing a scientific file format, this is the skill to use.
lead-research-assistant
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
tooluniverse-data-integration-analysis
Integrate statistical analysis results with biological knowledge from ToolUniverse tools. After computing associations or differential expression, use pathway analysis, literature search, drug-target databases, and variant annotation to interpret findings biologically. Use when statistical results need biological context, when users want to go beyond p-values to understand mechanisms, or when combining data analysis with literature evidence.