Skill4Agent
Skill4Agent
All SkillsSearchTools
|
Explore
Skill4Agent
Skill4Agent

AI Agent Skills Directory with categorization, English/Chinese translation, and script security checks.

Sitemap

  • Home
  • All Skills
  • Search
  • Tools

About

  • About Us
  • Disclaimer
  • Copyright

Help

  • FAQ
  • Privacy
  • Terms
Contact Us:osulivan147@qq.com

© 2026 Skill4Agent. All rights reserved.

All Skills

Total 50,510 skills

Categories

Showing 12 of 50510 skills

Per page
Downloads
Sort
Data Processingk-dense-ai/claude-scienti...

cellxgene-census

Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.

🇺🇸|EnglishTranslated
87
Tools & Utilitiesdatocms/agent-skills

datocms-plugin-builder

Modify existing DatoCMS plugins built with datocms-plugin-sdk and connect(). Use when users ask to patch or maintain an existing plugin project: config screen edits, hook additions, field extension tweaks, sidebar/page/outlet changes, validation updates, settings cleanup, dependency fixes, or other day-to-day plugin maintenance. Prefer `datocms-plugin-scaffold` when starting a new plugin from scratch.

🇺🇸|EnglishTranslated
86
AI & Machine Learningk-dense-ai/claude-scienti...

qiskit

IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.

🇺🇸|EnglishTranslated
86
Automationk-dense-ai/claude-scienti...

pylabrobot

Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.

🇺🇸|EnglishTranslated
86
Data Processingk-dense-ai/claude-scienti...

biopython

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

🇺🇸|EnglishTranslated
86
Data Processingk-dense-ai/claude-scienti...

dask

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

🇺🇸|EnglishTranslated
86
AI & Machine Learningdatocms/agent-skills

eval-triggers

Run the trigger evaluation pipeline — classify, analyze, and optionally compare against a baseline. Only run when explicitly asked — evals are expensive.

🇺🇸|EnglishTranslated
85
Data Processingk-dense-ai/claude-scienti...

matchms

Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.

🇺🇸|EnglishTranslated
85
AI & Machine Learningk-dense-ai/claude-scienti...

pufferlib

High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game environments (Atari, Procgen, NetHack). Achieves 2-10x speedups over standard implementations. For quick prototyping or standard algorithm implementations with extensive documentation, use stable-baselines3 instead.

🇺🇸|EnglishTranslated
85
2 scripts/Checked
AI & Machine Learningk-dense-ai/claude-scienti...

cirq

Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.

🇺🇸|EnglishTranslated
84
AI & Machine Learningk-dense-ai/claude-scienti...

pathml

Full-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be simpler.

🇺🇸|EnglishTranslated
84
Data Processingk-dense-ai/claude-scienti...

histolab

Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.

🇺🇸|EnglishTranslated
83
1...8990919293...4210
Page