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raydocs AI Skills

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浏览 raydocs 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

39

收录技能的仓库 Stars 合计

6

仓库 Forks

0

平均每个技能的仓库 Stars

0

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

39 个技能

全部技能

GitHub

ingredient-scanner

raydocs

扫描护肤品成分表,OCR识别并AI解读成分功效与风险。实现成分扫描功能时使用此技能。

GitHub

effect-tracking

raydocs

28天效果追踪,对比分析皮肤变化,生成改善报告。实现追踪功能时使用此技能。

GitHub

gemini-skin-analysis

raydocs

使用Gemini Vision API分析皮肤照片,返回结构化分析结果。当需要实现AI皮肤分析功能时自动调用此技能。

GitHub

skin-matching

raydocs

皮肤双胞胎匹配算法,找到相似皮肤用户并推荐其有效产品。实现社区匹配功能时使用此技能。

GitHub

photo-standardization

raydocs

标准化拍照流程,确保光线、角度、距离一致,用于效果追踪对比。实现拍照引导功能时使用此技能。

GitHub

flow-next-export-context

raydocs

Export RepoPrompt context for external LLM review (ChatGPT, Claude web, etc.). Use when you want to review code or plans with an external model. Triggers on /flow-next:export-context.

GitHub

flow-next

raydocs

Manage .flow/ tasks and epics. Triggers: 'show me my tasks', 'list epics', 'what tasks are there', 'add a task', 'create task', 'what's ready', 'task status', 'show fn-1'. NOT for /flow-next:plan or /flow-next:...

GitHub

flow-next-worktree-kit

raydocs

Manage git worktrees (create/list/switch/cleanup) and copy .env files. Use for parallel feature work, isolated review, clean workspace, or when user mentions worktrees.

GitHub

flow-next-work

raydocs

Execute a Flow epic or task systematically with git setup, task tracking, quality checks, and commit workflow. Use when implementing a plan or working through a spec. Triggers on /flow-next:work with Flow IDs (...

GitHub

flow-next-interview

raydocs

Interview user in-depth about an epic, task, or spec file to extract complete implementation details. Use when user wants to flesh out a spec, refine requirements, or clarify a feature before building. Triggers...

GitHub

flow-next

raydocs

Manage .flow/ tasks and epics. Triggers: 'show me my tasks', 'list epics', 'what tasks are there', 'add a task', 'create task', 'what's ready', 'task status', 'show fn-1'. NOT for /flow-next:plan or /flow-next:...

GitHub

flow-next-setup

raydocs

Local install of flowctl CLI and CLAUDE.md/AGENTS.md instructions. Use when user runs /flow-next:setup.

GitHub

flow-next-interview

raydocs

Interview user in-depth about an epic, task, or spec file to extract complete implementation details. Use when user wants to flesh out a spec, refine requirements, or clarify a feature before building. Triggers...

GitHub

flow-next-plan

raydocs

Create structured build plans from feature requests or Flow IDs. Use when planning features or designing implementation. Triggers on /flow-next:plan with text descriptions or Flow IDs (fn-1, fn-1.2).

GitHub

flow-next-plan-review

raydocs

Carmack-level plan review via RepoPrompt or OpenCode. Use when reviewing Flow epic specs or design docs. Triggers on /flow-next:plan-review.

GitHub

flow-next-work

raydocs

Execute a Flow epic or task systematically with git setup, task tracking, quality checks, and commit workflow. Use when implementing a plan or working through a spec. Triggers on /flow-next:work with Flow IDs (...

GitHub

flow-next-impl-review

raydocs

John Carmack-level implementation review via RepoPrompt or OpenCode. Use when reviewing code changes, PRs, or implementations. Triggers on /flow-next:impl-review.

GitHub

flow-next-plan

raydocs

Create structured build plans from feature requests or Flow IDs. Use when planning features or designing implementation. Triggers on /flow-next:plan with text descriptions or Flow IDs (fn-1, fn-1.2).

GitHub

flow-next-plan-review

raydocs

Carmack-level plan review via RepoPrompt or Codex. Use when reviewing Flow epic specs or design docs. Triggers on /flow-next:plan-review.

GitHub

flow-next-impl-review

raydocs

John Carmack-level implementation review via RepoPrompt or Codex. Use when reviewing code changes, PRs, or implementations. Triggers on /flow-next:impl-review.

GitHub

memory-scout

raydocs

Search project memory (.flow/memory/) for entries relevant to the current task or request. Use when you need to recall past pitfalls, conventions, or decisions that apply to the work at hand.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。