技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: foreign-keys

英文目录

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
信任
分类: agent-skills审计

A Claude Code skill that directs website creation like a film, with art direction locking, local asset generation, and an executable anti-slop linter gating every deployment.

1.0K
Stars
85/100
信任
分类: design-creative审计

Take a list of domains, crawl urls and scan for endpoints, secrets, api keys, file extensions, tokens and more

3.4K
Stars
80/100
信任
分类: web-automation审计

A comprehensive collection of 30+ Claude Code skills for cold email and outbound sales, covering strategy, infrastructure, lead sourcing, and copywriting, with a guided kickoff flow and signal playbooks.

632
Stars
80/100
信任
分类: marketing-growth审计

a digital safe with multiple keys, held by people you trust

1.4K
Stars
77/100
信任
分类: legal-compliance审计

Real-time speech translation — macOS & Windows, free TTS, no server, your API keys only

1.2K
Stars
83/100
信任
分类: legal-compliance审计

Agent skills for coding assistants to interact with Langfuse's LLM tracing, prompt management, and evaluation platform.

214
Stars
75/100
信任
分类: coding-agents审计

A curated set of agent skills for the Venice AI API, providing SKILL.md instructions for agent runtimes like Cursor, Claude, and Codex.

122
Stars
75/100
信任
分类: utility审计

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
信任
分类: data-analysis审计

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

34K
Stars
70/100
信任
分类: research审计