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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按 GitHub Stars 排序的优秀创作者
Microsoft
@microsoft
openclaw
@openclaw
OpenAI
@openai
The Apache Software Foundation
@apache
GitHub
@github
Anthropic
@anthropics
AutoGPT
@Significant-Gravitas
Garry Tan
@garrytan全部 Skills 196921
th-workflow
Use for the day-to-day development workflow around a change, idea to merged branch: brainstorming intent and design before building or modifying a feature; executing a written implementation plan in checkpointed batches; dispatching parallel subagents for independent problems; requesting a code review before merge; verifying review feedback before acting on it; finishing a branch (merge, PR, keep, discard). Triggers: "brainstorm this feature", "design before building", "execute this plan", "these failures look independent", "request a review", "the reviewer says", "merge or PR?", "clean up this branch".
tooluniverse-toxicology
Assess chemical and drug toxicity via adverse outcome pathways, real-world adverse event signals, and toxicogenomic evidence. Integrates AOPWiki (AOPWiki_list_aops, AOPWiki_get_aop) for mechanism- level pathway tracing, FAERS for post-market adverse event quantification, OpenFDA for label mining, and CTD for chemical-gene-disease evidence. Produces structured toxicity reports with evidence grading (T1-T4). Use when asked about toxicity mechanisms, adverse outcome pathways, AOP mapping, FAERS signal detection, or chemical-disease relationships for drugs or environmental chemicals.
user-run-scripts
Use whenever a task needs something the agent's own sandbox cannot do — an interactive sudo/root password, another TTY prompt, an action blocked by sandbox or permission policy, or any manual out-of-band step (e.g. a 2FA code) — by handing the user a script to run themselves and reading its output back from disk instead of a copy/paste round-trip. Not for commands the agent can already run itself. Triggers: "I need sudo for this", "this needs your password", "run this yourself", "needs an interactive terminal", "sandbox won't let me do X".
tooluniverse-target-research
Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open Targets coverage, and mandatory completeness auditing. Use when users ask about drug targets, proteins, genes, or need target validation, druggability assessment, or comprehensive target profiling.
transcript-retention
Use to manage the disk footprint of AI-tool session state — Claude Code transcripts (~/.claude/projects), Codex rollouts (~/.codex/sessions), shell snapshots, logs, and sqlite WAL files — by reporting usage and applying an age-based compress/delete policy. Triggers: "how big is my session history", "clean up old transcripts", "codex sessions are eating disk", "transcript retention".
tooluniverse-systems-biology
Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when analyzing gene sets, exploring biological pathways, or investigating systems-level biology.
refresh-snapshots
Use to re-run the harness's snapshot/mirror flows so installed state matches version-controlled source — skill symlinks into ~/.claude, ~/.codex, ~/.gemini tool homes, git submodule pointers, and shell plugin checkouts. Use after restructuring skills, when links look stale or broken, or on a periodic freshness pass. Triggers: "refresh snapshots", "relink skills", "update submodules", "my installed skills are stale".
tooluniverse-structural-variant-analysis
Comprehensive structural variant (SV) analysis skill for clinical genomics. Classifies SVs (deletions, duplications, inversions, translocations), assesses pathogenicity using ACMG-adapted criteria, evaluates gene disruption and dosage sensitivity, and provides clinical interpretation with evidence grading. Use when analyzing CNVs, large deletions/duplications, chromosomal rearrangements, or any structural variants requiring clinical interpretation.
memory-hygiene
Use to compact agent memory stores that grow append-only and rot — AGENTS.md "Notes to self" sections, bd memories, CLAUDE.md instruction drift — by deduplicating, merging superseded entries, and retiring notes whose subject no longer exists. Triggers: "compact my notes to self", "AGENTS.md is huge", "clean up bd memories", "stale agent memory".
tooluniverse-structural-proteomics
Integrate structural biology data with proteomics for drug target validation. Retrieves protein structures from PDB (RCSB, PDBe), AlphaFold predictions, antibody structures (SAbDab), GPCR data (GPCRdb), binding pocket analysis (ProteinsPlus), and ligand interactions (BindingDB). Use when asked to find structures for a drug target, identify binding site ligands, cross-validate drug binding with structural data, assess structural druggability, or compare experimental vs predicted structures.
dotfiles-review
Use to review the ~/.dotfiles tree — rc files, alias/function files under to_source/, home_rcs/, and .config tool dirs — for objective conflicts (duplicate or shadowing aliases, mutually exclusive settings, dead references) and best-practice recommendations, while never opening secret files. Triggers: "review my dotfiles", "clean up my zshrc", "are my aliases conflicting", "modernize my shell config".
tooluniverse-stem-cell-organoid
Research stem cells, iPSCs, organoids, and cell differentiation using ToolUniverse tools. Covers pluripotency marker identification, differentiation pathway analysis, organoid model characterization, cell type annotation, and disease modeling. Integrates CellxGene/HCA for single-cell atlas data, CellMarker for cell type markers, GEO for stem cell datasets, and pathway tools for differentiation signaling. Use when asked about stem cells, iPSCs, organoids, cell reprogramming, pluripotency, differentiation protocols, or 3D culture models.
config-surface-audit
Use to audit the non-skill recurring context surfaces of the AI tools — configured MCP servers (tool schemas load every session), permission allowlists, and hooks in settings.json / config.toml — against actual usage from transcripts, and recommend removing what never fires. Triggers: "audit my MCP servers", "are these permissions stale", "what hooks do I have", "config bloat".
tooluniverse-statistical-modeling
Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical/experimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.
audit-skill-hygiene
Use to produce a content-safe, reproducible measurement-only audit of cataloged skill usage from Claude Code and Codex. Emits an aggregate decision matrix; it never changes catalogs or recommends direct archival. Triggers: "audit skill usage", "which skills are actually used", "is our skill catalog bloated".
tooluniverse-spatial-transcriptomics
Analyze spatial transcriptomics data to map gene expression in tissue architecture. Supports 10x Visium, MERFISH, seqFISH, Slide-seq, and imaging-based platforms. Performs spatial clustering, domain identification, cell-cell proximity analysis, spatial gene expression patterns, tissue architecture mapping, and integration with single-cell data. Use when analyzing spatial transcriptomics datasets, studying tissue organization, identifying spatial expression patterns, mapping cell-cell interactions in tissue context, characterizing tumor microenvironment spatial structure, or integrating spatial and single-cell RNA-seq data for comprehensive tissue analysis.
th-tooling
Use for hygiene of this machine's AI-tooling harness — the ~/.dotfiles repo, the ai-bootstrap skills tree, and the installed tool homes (~/.claude, ~/.codex, ~/.gemini): auditing real skill usage from transcripts, archiving unused skills, reviewing dotfiles for conflicting aliases/config, refreshing snapshot state (skill symlinks, submodules, mirrored assets), transcript disk retention, compacting agent memory (AGENTS.md notes, bd memories), and auditing MCP/permission/hook config against actual use. Route to exactly one subskill per task. Triggers: "audit my skills", "which skills are unused", "review my dotfiles", "clean up my zshrc", "refresh snapshots", "old transcripts eating disk", "compact my notes to self", "audit my MCP servers", "harness hygiene".
tooluniverse-spatial-omics-analysis
Computational analysis framework for spatial multi-omics data integration. Given spatially variable genes (SVGs), spatial domain annotations, tissue type, and disease context from spatial transcriptomics/proteomics experiments (10x Visium, MERFISH, DBiTplus, SLIDE-seq, etc.), performs comprehensive biological interpretation including pathway enrichment, cell-cell interaction inference, druggable target identification, immune microenvironment characterization, and multi-modal integration. Produces a detailed markdown report with Spatial Omics Integration Score (0-100), domain-by-domain characterization, and validation recommendations. Uses 70+ ToolUniverse tools across 9 analysis phases. Use when users ask about spatial transcriptomics analysis, spatial omics interpretation, tissue heterogeneity, spatial gene expression patterns, tumor microenvironment mapping, tissue zonation, or cell-cell communication from spatial data.