Ray Train Distributed Training
Orchestra-Research/AI-Research-SKILLs
Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.
把灵感、现场观察或长文变成 Ray 能直接开机录制的中文口播：原生快速口播只保留一份母稿；长文再分发则绑定母稿路径与内容指纹。表达先行——以 Ray 本人口吻把观点和情绪说满，拿不准或编补的内容列进「待确认」由 Ray 决定。也按“停下、听下去、记住、传播”四关审读口播，或对照生成稿与 Ray…
Custom licenceAuto-check passed
Install Ray Kb
$ npx skills add imraywang/rayskills --skill ray-kb -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install imraywang/rayskills ray-kb --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ray-kb .claude/skills/ray-kb && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ray-kb" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-kb into .claude/skills/ray-kb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-kb", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/imraywang/rayskills/tree/main/skills/ray-kbType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add imraywang/rayskills --skill ray-kb -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install imraywang/rayskills ray-kb --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ray-kb .agents/skills/ray-kb && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ray-kb" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-kb into .agents/skills/ray-kb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-kb", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add imraywang/rayskills --skill ray-kb -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install imraywang/rayskills ray-kb --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ray-kb .cursor/skills/ray-kb && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ray-kb" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-kb into .cursor/skills/ray-kb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-kb", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/imraywang/rayskills.git --path skills/ray-kb--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add imraywang/rayskills --skill ray-kb -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install imraywang/rayskills ray-kb --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ray-kb .gemini/skills/ray-kb && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ray-kb" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-kb into .gemini/skills/ray-kb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-kb", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install imraywang/rayskills ray-kbInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add imraywang/rayskills --skill ray-kb -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ray-kb .github/skills/ray-kb && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ray-kb" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-kb into .github/skills/ray-kb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-kb", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add imraywang/rayskills --skill ray-kb -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install imraywang/rayskills ray-kb --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/imraywang/rayskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ray-kb .opencode/skills/ray-kb && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ray-kb" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-kb into .opencode/skills/ray-kb/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-kb", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ray-kb- GitHub stars
- 160
- Token cost
- ~620 tokens
- SKILL.md length
- 88 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
把灵感、现场观察或长文变成 Ray 能直接开机录制的中文口播：原生快速口播只保留一份母稿；长文再分发则绑定母稿路径与内容指纹。表达先行——以 Ray 本人口吻把观点和情绪说满，拿不准或编补的内容列进「待确认」由 Ray 决定。也按“停下、听下去、记住、传播”四关审读口播，或对照生成稿与 Ray…
- Works in 5 steps: 一份口播稿只讲一个中心判断。 → 正文里只放能直接念的话；拿不准的、编补的内容全部进「待确认」，不在正文里自保。 → 长文再分发时，衍生稿记录 source_draft 与… → …
- SKILL.md covers 唯一的风格约束, 固定原则, 选择工作模式 and 长文再分发, plus 4 more sections
- Runs Python scripts from its folder; calls python3
What it does
Ray Kb is an agent skill from imraywang/rayskills. 把灵感、现场观察或长文变成 Ray 能直接开机录制的中文口播：原生快速口播只保留一份母稿；长文再分发则绑定母稿路径与内容指纹。表达先行——以 Ray 本人口吻把观点和情绪说满，拿不准或编补的内容列进「待确认」由 Ray 决定。也按“停下、听下去、记住、传播”四关审读口播，或对照生成稿与 Ray 的实际录制稿，把他的真实表达加进样本。用于“这个想法直接做成口播”“把这篇文章改成口播”“审一下这篇口播稿”“对比我录的和你写的”时；不自动发布。
Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `agents/openai.yaml`, `evals/evals.json` and `references/fast-oral.md`).
The repository describes itself as: 面向 AI Builder 的实战 Skill 工具箱：10 个可执行、可验证、可恢复的工作流，/ray 路由 + 内容生产管线直达公众号与 X Articles 草稿箱，支持 Claude Code、Codex 与 WorkBuddy。
Example prompts
- “停下、听下去、记住、传播”
- “这个想法直接做成口播”
- “把这篇文章改成口播”
- “/ray-kb”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 一份口播稿只讲一个中心判断。
- 正文里只放能直接念的话；拿不准的、编补的内容全部进「待确认」，不在正文里自保。
- 长文再分发时，衍生稿记录 source_draft 与 source_sha256，方便母稿变了之后知道要重看。
- 不自动发布。未经用户明确要求，不生成图片卡片成品，不调用付费视频或图片生成。
- 用户提供实际录制稿时，逐字稿以用户版本为准；生成稿保留为比较证据。录制完成不等于已经公开发布，平台、链接和时间未知时只标记 recorded。
What it can do on your machine
Read from SKILL.md and the folder at commit 2ad2449. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ray Kb loads about 620 tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 88 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 88 words (~620 tokens).
- name
- ray-kb
Files
SKILL.md and 8 other files (scripts, references) in skills/ray-kb of imraywang/rayskills.
- SKILL.md
- agents/openai.yaml
- evals/evals.json
- references/fast-oral.md
- references/recording-feedback.md
- references/script-review.md
- references/voice.md
- scripts/oral_script_check.py
- scripts/test_oral_script_check.py
Open the folder on GitHubat commit 2ad2449
Compare with similar skills
Ray Kb next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ray Kb this skillimraywang/rayskills | 160 | — | ~620 | Automated safety check: Pass | Custom licence | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.7k | Automated safety check: Pass | MIT | |
| RayRailly/tinte | 624 | — | ~712 | Automated safety check: Pass | MIT | |
| Ray Data for ML PipelinesOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Debugging Output And Previewing HTML Using Rayanonaddy/anonaddy | 4.9k | — | ~2.3k | Automated safety check: Pass | AGPL-3.0 | |
| Raymajiayu000/claude-skill-registry | 666 | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 |
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Researches what people are saying about a topic over a recent window across X, Reddit, YouTube and the public web, reporting each source's status with links.
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Questions about Ray Kb
What does Ray Kb do?
把灵感、现场观察或长文变成 Ray 能直接开机录制的中文口播：原生快速口播只保留一份母稿；长文再分发则绑定母稿路径与内容指纹。表达先行——以 Ray 本人口吻把观点和情绪说满，拿不准或编补的内容列进「待确认」由 Ray 决定。也按“停下、听下去、记住、传播”四关审读口播，或对照生成稿与 Ray…. Ray Kb is an agent skill from imraywang/rayskills.
How do I install Ray Kb in Claude Code?
Run `npx skills add imraywang/rayskills --skill ray-kb -a claude-code`. Or copy the skill folder (skills/ray-kb in imraywang/rayskills) into .claude/skills/ray-kb in your project. Claude Code loads it when a task matches its description.
How do I install Ray Kb in Codex?
Run `npx skills add imraywang/rayskills --skill ray-kb -a codex`. Or copy the skill folder (skills/ray-kb in imraywang/rayskills) into .agents/skills/ray-kb in your project. Codex loads it when a task matches its description.
Can I use Ray Kb in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add imraywang/rayskills --skill ray-kb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ray-kb, .gemini/skills/ray-kb, .github/skills/ray-kb and .opencode/skills/ray-kb in your project.
What does Ray Kb need to run?
Going by SKILL.md and its folder, Ray Kb needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Ray Kb access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ray Kb safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Ray Kb use?
Ray Kb has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Ray Kb use?
About 620 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.3k tokens, read only when the agent opens those files.
What are the alternatives to Ray Kb?
Skills that share tags, products or a category with Ray Kb: Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Ray (Railly/tinte, 624 stars), Ray Data for ML Pipelines (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Debugging Output And Previewing HTML Using Ray (anonaddy/anonaddy, 4.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ray Kb?
imraywang (a GitHub user) maintains it in imraywang/rayskills, which has 160 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 23, 2026.
Source: imraywang/rayskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.