Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
21,660 skills from 798 repositories · updated 8 minutes ago
4,259 skills
- gseapy-gene-enrichmentjaechang-hits/SciAgent-SkillsGSEA and over-representation analysis (ORA) for RNA-seq and proteomics. Wraps Enrichr for ORA against MSigDB, KEGG, GO, and 200+ databases; runs preranked GSEA on ranked DE gene lists. Outputs enrichment tables and running-score plots. Use after DESeq2 or edgeR for pathway-level interpretation.OtherNo warnings★ 382↓ —
- data-visualizationdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionCreate visualizations for construction data. Generate charts, graphs, heatmaps, and interactive dashboards using Matplotlib, Seaborn, and Plotly for project analysis and reporting.OtherNo warnings★ 368↓ —
- data-silo-detectiondatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionDetect and map data silos in construction organizations. Identify disconnected data sources and integration opportunitiesOtherNo warnings★ 368↓ —
- rfi-managementdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionComplete RFI (Request for Information) management system. Create, track, route, and analyze RFIs with automatic notifications and response deadline tracking.OtherNo warnings★ 368↓ —
- carbon-calculatordatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionCalculate embodied carbon in construction materials. Track CO2 emissions, compare alternatives, and generate sustainability reports.OtherNo warnings★ 368↓ —
- scanpy-scrna-seqjaechang-hits/SciAgent-SkillsscRNA-seq with Scanpy: QC, normalization, HVG selection, PCA, neighborhood graph, UMAP/t-SNE, Leiden clustering, markers, cell annotation, trajectory inference. Standard scRNA-seq exploration.OtherNo warnings★ 382↓ —
- interoperability-analyzerdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionAnalyze data interoperability issues in construction projects. Identify format incompatibilities and data loss points.OtherNo warnings★ 368↓ —
- web-archivingjamditis/claude-skills-journalismWeb archiving and retrieval via Wayback Machine and Archive.today. Use to preserve content, reach dead pages, or save evidence.OtherNo warnings★ 430↓ —
- foia-requestsjamditis/claude-skills-journalismFOIA and public records workflows. Use when drafting requests, tracking submissions, checking exemptions, or appealing denials.OtherNo warnings★ 430↓ —
- cellxgene-censusjaechang-hits/SciAgent-SkillsQuery CELLxGENE Census (61M+ cells). Search by cell type/tissue/disease/organism; get AnnData, stream out-of-core, train PyTorch models. For your own data use scanpy; for annotated data use anndata.OtherNo warnings★ 382↓ —
- rlhf-systemsa5c-ai/babysitterHuman-feedback-driven model optimization — preference data collection, reward modeling, policy updates, and alignment evaluation.OtherNo warnings★ 1.9K↓ —
- fastp-fastq-preprocessingjaechang-hits/SciAgent-SkillsAll-in-one FASTQ QC and adapter trimming. Auto-detects Illumina adapters, filters low-quality reads, corrects paired-end overlaps, emits HTML+JSON QC in one pass. 3-10x faster than Trim Galore/Trimmomatic. First step before STAR, BWA-MEM2, or Salmon.OtherNo warnings★ 382↓ —
- json-schema-makerzhuyansen/agent-skills-hubInfer a JSON Schema from example JSON documents, marking which fields are required.OtherNo warnings★ 463↓ —
- comparefcakyon/phd-skillsSame-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. Aligns runs at the student's current step (never current-vs-final-of-baseline) and separates proxy metrics from downstream targets. Use when the user asks to compare runs, check if a run is improving, track lag against a baseline, rank experiments, or evaluate run-vs-run performance.OtherNo warnings★ 431↓ —
- tmuxaiskillstore/marketplaceManage tmux sessions for interactive background processesOtherNo warnings★ 443↓ —
- arboreto-grn-inferencejaechang-hits/SciAgent-SkillsGRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). Load matrix, filter by TFs, infer TF-target-importance links, save network. Dask-parallelized to single-cell scale. Core SCENIC component.OtherNo warnings★ 382↓ —
- competitor-intel-agentOneWave-AI/claude-skillsMonitors competitor websites, pricing, content changes, hiring patterns, and product updates. Generates intelligence reports with strategic implications and trend analysis. Stores history for longitudinal tracking.OtherNo warnings★ 368↓ —
- story-deslopzenstory-ai/oh-story-claudecode网文去AI味。从表达、叙事用笔、故事因果三层诊断并修复文本，保留作者文风与已定剧情。触发方式：/story-deslop、/去AI味、「去AI味」「这篇太AI了」「网文去AI味」。OtherNo warnings★ 7.9K↓ —Also in 1 other repo
- update-turbotobihagemann/turboUpdate installed Turbo Codex skills from the local repo with a dynamic changelog, conflict resolution for customized skills, and guided user experience. Use when the user asks to "update turbo", "update turbo skills", "reinstall turbo", "upgrade turbo", or "update turbo for codex".OtherNo warnings★ 417↓ —
- co2-carbon-footprintdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionCalculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.OtherNo warnings★ 368↓ —
- cwicr-bid-analyzerdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionAnalyze contractor bids against CWICR benchmarks. Identify pricing anomalies, compare bid components, and support bid evaluation decisions.OtherNo warnings★ 368↓ —
- networkx-graph-analysisjaechang-hits/SciAgent-SkillsGraph and network analysis toolkit. Four graph types (directed, undirected, multi-edge), centrality, shortest paths, community detection, generators, I/O (GraphML, GML, edge list), matplotlib viz. For large graphs (100K+ nodes) use igraph or graph-tool; for GNNs use PyG.OtherNo warnings★ 382↓ —
- torchdrugjaechang-hits/SciAgent-SkillsPyTorch-based ML platform for drug discovery: graph molecular representation learning, property prediction (ADMET, activity), retrosynthesis, drug-target interaction (DTI), and pretraining on large molecular datasets. Provides GNN layers (GraphConv, GAT, MPNN), pretrained models, and benchmark datasets.OtherNo warnings★ 382↓ —
- macs3-peak-callingjaechang-hits/SciAgent-SkillsPoisson-model peak caller for ChIP-seq/ATAC-seq BAMs. MACS3 callpeak finds enriched regions (TF sites or histone marks) vs input/IgG; outputs BED narrowPeak/broadPeak for motif analysis, annotation, and differential binding. Use narrow peaks for TF ChIP-seq and ATAC-seq; broad for H3K27me3, H3K9me3, and other broad marks.OtherNo warnings★ 382↓ —