Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
20.857 de skill-uri din 756 de depozite · actualizat acum 8 minute
4.073 de skill-uri
- quiz-makerOneWave-AI/claude-skillsCreate multiple choice, true/false, fill-in-blank, matching quizzes. Auto-generate plausible distractors. Instant grading with explanations.AlteleFără avertismente★ 368↓ —
- molfeat-molecular-featurizationjaechang-hits/SciAgent-SkillsMolecular featurization hub (100+ featurizers) for ML. SMILES to fingerprints (ECFP, MACCS, MAP4), descriptors (RDKit 2D, Mordred), pretrained embeddings (ChemBERTa, GIN, Graphormer), pharmacophores. Scikit-learn compatible with parallelization/caching. For QSAR, virtual screening, similarity, and molecular DL.AlteleFără avertismente★ 382↓ —
- torch-geometric-graph-neural-networksjaechang-hits/SciAgent-SkillsPyTorch Geometric (PyG) for graph neural networks: node/graph classification, link prediction with GCN, GAT, GraphSAGE, GIN. Message passing, mini-batches, heterogeneous graphs, neighbor sampling, explainability. Supports molecules (QM9, MoleculeNet), social/knowledge graphs, 3D point clouds. For non-graph DL use PyTorch; for classical graph algorithms use NetworkX.AlteleFără avertismente★ 382↓ —
- connectactiveing123/mcptoonConnect any AI agent to MCP servers through mcptoon — one config synced everywhere, one stdio gateway, 99.2% fewer tokens on tool discovery.AlteleFără avertismente★ 372↓ —
- depmap-crispr-essentialityjaechang-hits/SciAgent-SkillsDepMap CRISPR gene effect (Chronos) analysis: sign convention for essentiality, per-gene NaN-safe Spearman correlation, data loading/alignment. For general NaN-safe correlation see nan-safe-correlation; for quality filtering see degenerate-input-filtering.AlteleFără avertismente★ 382↓ —
- triageactiveing123/mcptoonDiagnose and fix broken MCP servers in mcptoon — doctor, health, per-server probes, and the common failure playbook.AlteleFără avertismente★ 372↓ —
- spatial-domain-detectionNoujaechang-hits/SciAgent-SkillsSpatial domain detection (tissue regions / niches) for spatial transcriptomics: SpaGCN (expression + spatial graph + H&E histology, Visium/ST), GraphST (self-supervised graph contrastive embedding, spots or cells) and UTAG (spatial message passing for Xenium/MERFISH/CosMx/IMC cells). Outputs a domain label per spot or cell, boundary refinement, cross-method agreement (ARI) and domain marker genes. For niches defined by the cell type composition of annotated cells use Step 7 of spatial-transcriptomics-cell-type-annotation; for neighbourhood enrichment and spatial statistics use spatial-transcriptomics-analysis-squidpy.AlteleFără avertismente★ 382↓ —
- celltypist-cell-annotationjaechang-hits/SciAgent-SkillsAutomated scRNA-seq cell type annotation via pre-trained logistic regression. 45+ models: immune, gut, lung, brain, fetal, cancer microenvironments. Input normalized AnnData; outputs per-cell labels, majority-vote cluster labels, confidence scores. Use for fast, reference-backed annotation without manual marker inspection; read cell-type-annotation first.AlteleFără avertismente★ 382↓ —
- popv-cell-annotationjaechang-hits/SciAgent-SkillsConsensus cell type annotation: runs 10+ algorithms (KNN-Harmony/BBKNN/Scanorama/scVI, CellTypist, ONCLASS, Random Forest, SCANVI, SVM, XGBoost) on a labeled reference and transfers labels via majority voting. Outputs per-method labels, consensus, agreement score. Use when single-method annotation is insufficient or you need ensemble uncertainty for novel states; to choose between manual markers, CellTypist and popV, read cell-type-annotation first.AlteleFără avertismente★ 382↓ —
- bwa-mem2-dna-alignerjaechang-hits/SciAgent-SkillsFast short-read DNA aligner for WGS/WES/ChIP-seq. 2× faster BWA-MEM successor; outputs SAM/BAM with read group headers for GATK. Primary plus supplementary records for chimeric reads. Use STAR for RNA-seq splice-aware alignment; Bowtie2 is a comparable alternative.AlteleFără avertismente★ 382↓ —
- share-a-libraryMoizIbnYousaf/ai-agent-skillsUse when a managed library is ready to publish to GitHub and hand to teammates as an install command. Run the GitHub publishing steps, then return the exact shareable install command.AlteleFără avertismente★ 1,2 K↓ —
- install-from-remote-libraryMoizIbnYousaf/ai-agent-skillsUse when installing skills from a shared ai-agent-skills library repo. Inspect with `--list` first, prefer `--collection`, and preview with `--dry-run` before installing.AlteleFără avertismente★ 1,2 K↓ —
- llm-application-devMoizIbnYousaf/ai-agent-skillsBuilding applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.AlteleFără avertismente★ 1,2 K↓ —
- update-installed-skillsMoizIbnYousaf/ai-agent-skillsUse when syncing or updating previously installed skills to their latest version. Always dry-run updates before applying, and check for breaking changes.AlteleFără avertismente★ 1,2 K↓ —
- audit-library-healthMoizIbnYousaf/ai-agent-skillsUse when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.AlteleFără avertismente★ 1,2 K↓ —
- build-workspace-docsMoizIbnYousaf/ai-agent-skillsUse when regenerating README.md and WORK_AREAS.md in a managed library workspace. Always dry-run first to preview changes.AlteleFără avertismente★ 1,2 K↓ —
- migrate-skills-between-librariesMoizIbnYousaf/ai-agent-skillsUse when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.AlteleFără avertismente★ 1,2 K↓ —
- statistical-significance-annotationjaechang-hits/SciAgent-SkillsGuide for annotating statistical significance (p-value asterisks) on comparison plots. Covers standard notation (ns, *, **, ***, ****), matplotlib bracket+asterisk implementation, and use with seaborn box/violin/bar plots. Use when preparing publication-ready figures with significance markers.AlteleFără avertismente★ 382↓ —
- 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.AlteleFără avertismente★ 382↓ —
- 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.AlteleFără avertismente★ 382↓ —
- 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.AlteleFără avertismente★ 382↓ —
- 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.AlteleFără avertismente★ 382↓ —
- 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.AlteleFără avertismente★ 382↓ —
- 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.AlteleFără avertismente★ 382↓ —
enet
a5c-ai/babysitter
AlteleActualizat 16 sept. 2026
De la autor
ENet reliable UDP skill for channels and packet fragmentation.
Instalare
npx skills add a5c-ai/babysitter --skill enet -a claude-code
Se instalează în .claude/skills/enet/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 86
Securitate100
Proveniență79
Întreținere85
Licență100
Adopție52
Fișiere (2)
- README.md
- SKILL.md