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AtlasRepo

sickn33/agentic-awesome-skills

Evidence and unknowns

Evidence scope
Catalog metadata only. Documentation review, source inspection and execution are not established by this record.
Verification date
Not provided
Verification freshness and method
No dated verification supplied.
Catalog record date
2026-07-08
Repository update date
2026-09-05
Freshness
Record older than 30 days. Recheck upstream.
License identifier
Not provided
Requirements reported by catalog
Looks straightforward to evaluate: it exposes implementation signals such as API/SDK/CLI, language metadata, or focused topics.
Limitations reported by catalog
No major metadata risk found, but license, security posture, and active maintainers still need final review.

Inspect the primary source

License source not supplied. Check the license and terms upstream.

Catalog descriptions and adoption notes are unverified reports. They do not establish a source review or a successful run. Confirm the license and requirements upstream.

说明与用途

**简短介绍**

sickn33/agentic-awesome-skills 是一个开源项目,提供了超过 1,935 个可安装的技能集合,支持多种 AI 框架,如 Claude Code、Cursor、Codex CLI 等。该项目还提供了插件、安装器 CLI、包、工作流和官方/社区技能集合等功能。

**价值**

sickn33/agentic-awesome-skills 帮助将孤立的提示和工具转变为可重复的代理工作流程,使得多个代理之间的协调、工具使用管线的添加以及代理内存的标准化成为可能。

**典型接入方式**

该项目提供了各种接入方式,包括:

  • API/SDK/CLI 等接口
  • 语言元数据
  • 特定主题的接入

**生产可用性**

该项目的生产可用性很高,原因包括:

  • 最近的活动和采用
  • 强大的生态系统信号
  • 高的评分(97/100)
  • 强大的 GitHub 星球和分叉数(42629 个星球,6777 个分叉)

采用前检查

请根据实际需求查看当前来源文档、许可条款、依赖项和维护状态。[查看来源](https://github.com/sickn33/agentic-awesome-skills)。

实际用途

sickn33/agentic-awesome-skills helps turn isolated prompts and tools into repeatable agent workflows.

  • coordinate multi-agent workflows
  • add tool-use pipelines
  • standardize agent memory

限制与审查说明

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

  • 来源: github
  • 语言: Python
原始来源