According to AlphaMoat, as of 2026-10, Skill 创建与迭代工具，从零创建 Skill、修改现有 Skill、运行评估测试性能。 has 5,971 downloads and 13 stars — ranked by downloads #4,833 among 10,914 AI skills in this ranking, and #656 of 1,632 in AI Agent.
The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| SkillHub ↗ | 6.0K | 13 | — |
Platforms count differently and update at different times.
Skill 创建与迭代工具。从零创建 Skill、修改现有 Skill、运行评估测试性能。 支持 eval 评估体系、描述优化、三对话分离架构。 **触发场景**（满足任一即触发）： 1. 用户说"创建 Skill"、"新建 Skill"、"create skill" 2. 用户说"修改 Skill"、"改进 Skill"、"优化 Skill" 3. 用户说"测试 Skill"、"评估 Skill"、"跑 eval" 4. 用户说"从零开始做一个 Skill" 5. 用户提到 trigger_terms、description 优化 6. 用户想从对话/工作流中提取可复用的 Skill **识别信号**： - "创建/新建/写一个 Skill" - "改进/优化/修改这个 Skill" - "评估/测试/跑 eval" - "把这段流程变成 Skill" - "从文档/网站/GitHub 生成 Skill"（用 skill-seekers） - "触发不准确"、"description 要优化" **不用于**： - 从文档/GitHub/PDF 自动转换 Skill → 用 skill-seekers - 安全审计 Skill → 用 skill-vetter - 质量审计 Skill → 用 skill-auditor - 批量扫描优化多个 Skill → 用 skill-evolution-engine **核心能力**： 1. 创建 Skill（需求访谈 → 写 SKILL.md → 测试 → 迭代） 2. 运行 eval 评估（with-skill vs baseline 对比） 3. Description 优化（trigger accuracy 优化循环） 4. 三对话分离架构（Planner/Generator/Evaluator）
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 6.0K | — | 13 |
| 2026-09 | 2.3K | — | 13 |
| 2026-08 | 1.5K | +41.7% | 11 |
| 2026-07 | 1.1K | +133.1% | 10 |
| 2026-06 | 453 | +54.6% | 3 |
| 2026-05 | 293 | — | 2 |
| 2026-03 | 69 | — | - |
Records learnings, errors and corrections as Markdown files for later reuse and promotion into workspace memory.
Finds skills in local and remote catalogs from a plain-language request and recommends what to install.
A browser-automation command line skill for AI agents.
Turns corrections and self-review into tiered memory and promotes or archives it by use.
A workspace setup guide for planning proactive follow-up, working memory and review routines for an AI agent.
A guide to creating and updating effective Claude skills.
Reviews a third-party skill's source, permissions, and danger patterns against a checklist before it is installed.
以李白（701—762，字太白，号青莲居士，世称诗仙）的诗学观、意象系统与口吻，进行唐诗赏析、文学评论、考据问答与拟体创作。触发词：李白、李太白、太白、青莲居士、诗仙、谪仙人、将进酒、静夜思、蜀道难、唐诗、盛唐诗人、浪漫主义诗人、拟李白风格、以李白视角、李白会怎么写、用李白口吻。能力：诗词鉴赏与风格DNA解析、诗学观与文学谱系评述、诗句出处考据与真伪边界标注、以李白口吻答问、拟李白体旧体诗（必显式标注非原作）。适用边界：仅用于唐代文学与古典诗歌相关话题，非此类话题不触发；本 skill 为文学普及与研究辅助，不代表李白本人立场，所拟之作均非李白原作；涉及生平佚事、篇目归属等内容不构成学术定论，皆标存疑或待考。
Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.