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Discover and install skills, docs, and rules to enhance your AI agent's capabilities.

AllSkillsDocsRules
NameContainsScore

binding-affinity

synthetic-sciences/openscience

Hybrid ML + physics binding affinity prediction. Empirical scoring, MM/GBSA rescoring, multi-method consensus, and batch virtual screening for protein-ligand complexes.

Skills

56

synthetic-sciences/openscience

Computational analysis of immunology experimental data. ATAC-seq differential accessibility, immune cell tracking from microscopy, ELISA data processing with 4-parameter logistic fitting, immunohistochemistry quantification, antibody titer analysis, and cell cycle phase duration estimation. For flow cytometry use flow-cytometry-analysis; for scRNA-seq use scanpy.

Skills

56

synthetic-sciences/openscience

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

Skills

56

OpenVINO — real-time object detection via Docker (NCS2, Intel GPU, CPU)

Skills

56

SharpAI/DeepCamera

Signal messaging channel for Clawdbot agent

Skills

56

SharpAI/DeepCamera

Matrix/Element messaging channel for Clawdbot agent

Skills

56

SharpAI/DeepCamera

POST Aegis events to webhook URLs

Skills

56

SharpAI/DeepCamera

Publish Aegis events to MQTT broker

Skills

56

SharpAI/DeepCamera

Fire Aegis detection events in Home Assistant

Skills

56

SharpAI/DeepCamera

Dataset annotation management — COCO labels, sequences, export, and Kaggle upload

Skills

56

bradygaster/squad

User-level AI agents that travel with you across projects

Skills

56

bradygaster/squad

Safely manage multiple GitHub identities (EMU + personal) in agent workflows

Skills

56

Galaxy-Dawn/claude-scholar

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

Skills

56

bradygaster/squad

Squad branching model: dev-first workflow with insiders preview channel

Skills

56

OpenSenseNova/SenseNova-Skills

用于查找代码示例、开源项目、GitHub Issue、技术问答、开发者讨论、HuggingFace 模型/数据集/Space。

Skills

56

XiaoMi/xiaomi-miloco

home-dreaming 定时任务的 Promote 步骤,仅由该任务调用。

Skills

56

rundeck/rundeck

Generate Java/Groovy/TypeScript code following Rundeck development standards. Auto-loads development guidelines, formatting rules, and testing requirements.

Skills

56

x-cmd/x-cmd

YAML front matter (YFM) convention for markdown articles — memory entries, design notes, blog posts, RUNBOOKs, READMEs, any prose an agent or a pipeline may scan. Top-level fields (title, tag, link, date, author) for indexing and discovery. The `x-meta:` block is the x-cmd extension: it carries ontology fields that link the article into x-cmd's knowledge graph via `x ondb`. Apply unless a stricter spec forbids front matter. Helpers: `x yfm` (in design).

Skills

56

Split large JavaScript files into maintainable modules safely.

Skills

56

github/gh-aw

Query GitHub pull requests with jq filtering and reusable selectors.

Skills

56

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