Chroma Vector Database
Orchestra-Research/AI-Research-SKILLs
Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.
企业知识库 / AI 落地咨询一条线——前置诊断 + 方案蓝图。诊断段用 GROUND 六维模型评估就绪度,做需求考古识破"真问题",匹配病灶模式,输出成熟度等级 + 红黄绿可行性评级 + 变绿条件;方案段承接诊断结论,回答方案的四件事:建什么(参考架构四层)、用什么建(选型决策树)、按什么顺序建(Phase 0-3 分期)、谁来养(运营角色与机制)。当用户要评估一家企业能不能上知识库/AI…
Install Ray Consult
$ npx skills add imraywang/rayskills --skill ray-consult -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install imraywang/rayskills ray-consult --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-consult .claude/skills/ray-consult && 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-consult" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-consult into .claude/skills/ray-consult/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-consult", 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-consultType 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-consult -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install imraywang/rayskills ray-consult --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-consult .agents/skills/ray-consult && 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-consult" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-consult into .agents/skills/ray-consult/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-consult", 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-consult -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install imraywang/rayskills ray-consult --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-consult .cursor/skills/ray-consult && 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-consult" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-consult into .cursor/skills/ray-consult/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-consult", 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-consult--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-consult -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install imraywang/rayskills ray-consult --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-consult .gemini/skills/ray-consult && 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-consult" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-consult into .gemini/skills/ray-consult/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-consult", 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-consultInstalls 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-consult -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-consult .github/skills/ray-consult && 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-consult" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-consult into .github/skills/ray-consult/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-consult", 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-consult -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-consult --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-consult .opencode/skills/ray-consult && 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-consult" agent skill from https://github.com/imraywang/rayskills/tree/main/skills/ray-consult into .opencode/skills/ray-consult/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ray-consult", 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-consult- GitHub stars
- 159
- Token cost
- ~1.8k tokens
- SKILL.md length
- 418 words
- Files
- 8 (incl. references)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
企业知识库 / AI 落地咨询一条线——前置诊断 + 方案蓝图。诊断段用 GROUND 六维模型评估就绪度,做需求考古识破"真问题",匹配病灶模式,输出成熟度等级 + 红黄绿可行性评级 + 变绿条件;方案段承接诊断结论,回答方案的四件事:建什么(参考架构四层)、用什么建(选型决策树)、按什么顺序建(Phase 0-3 分期)、谁来养(运营角色与机制)。当用户要评估一家企业能不能上知识库/AI…
- Works in 3 steps: 每个论断有证据编号,被质询时 10 秒内说出来源("这来自访谈 E3 + 实测… → 坏消息配出路,红灯的价值在给变绿路径,不在宣判 → 保护信息源,证据引用不指向具体个人,尤其与高管认知相反的证词——匿名承诺是方法论的…
- Tasks that involve Retrieval-augmented generation
- SKILL.md covers 用法与分段判断, 五阶段作战流程, 诊断段:进场 → 评估 → 诊断 and 方案段:从"病在哪"到"怎么治", plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ray Consult is an agent skill from imraywang/rayskills. 企业知识库 / AI 落地咨询一条线——前置诊断 + 方案蓝图。诊断段用 GROUND 六维模型评估就绪度,做需求考古识破"真问题",匹配病灶模式,输出成熟度等级 + 红黄绿可行性评级 + 变绿条件;方案段承接诊断结论,回答方案的四件事:建什么(参考架构四层)、用什么建(选型决策树)、按什么顺序建(Phase 0-3 分期)、谁来养(运营角色与机制)。当用户要评估一家企业能不能上知识库/AI 助手/RAG/企业智能体、判断项目风险、做知识管理体检,或已有诊断结论要出方案蓝图/分期路线图/选型建议/报价结构、要把红灯诊断变成"补齐前提"的行动方案时,使用本 skill。触发:/ray-consult 「企业情况或诉求」(从诊断开始)、/ray-consult 「诊断结论」(直接进方案)。不用于:纯技术选型比价而无落地方案、个人/小团队知识管理。
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `evals/evals.json`, `references/blueprint-template.md` and `references/economics-and-pricing.md`).
It sits in AI & LLM Engineering, covering Retrieval-augmented generation. 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。
When your agent uses it
- Tasks that involve Retrieval-augmented generation
Example prompts
- “/ray-consult”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- 每个论断有证据编号,被质询时 10 秒内说出来源("这来自访谈 E3 + 实测 T2")
- 坏消息配出路,红灯的价值在给变绿路径,不在宣判
- 保护信息源,证据引用不指向具体个人,尤其与高管认知相反的证词——匿名承诺是方法论的信用资产
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
No scripts in the folder and no shell commands in SKILL.md.
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 Consult loads about 1.8k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 418 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); files beside SKILL.md 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 418 words (~1,810 tokens).
“大多数企业知识库和 AI 项目的失败,在建设之前就注定了——拿过时、冲突、含违规的语料直接喂 RAG,再好的技术也是把错误规模化。本 skill 覆盖咨询的完整两段:诊断段回答"病在哪、现在直接建有多大风险",方案段回答"怎么治"。”
- name
- ray-consult
Files
SKILL.md and 7 other files (references) in skills/ray-consult of imraywang/rayskills.
- SKILL.md
- evals/evals.json
- references/blueprint-template.md
- references/economics-and-pricing.md
- references/four-things-framework.md
- references/ground-model.md
- references/pattern-library.md
- references/report-template.md
Open the folder on GitHubat commit 2ad2449
Compare with similar skills
Ray Consult 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 Consult this skillimraywang/rayskills | 159 | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 260 | 3 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| MCP Local RAGshinpr/mcp-local-rag | 411 | — | ~4.4k | Automated safety check: Pass | MIT | |
| Ms Agent Framework RAGshuyu-labs/WebCode | 278 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Local RAG Searchnkapila6/mcp-local-rag | 134 | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
Similar skills
Senior Prompt Engineer
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
MCP Local RAG
shinpr/mcp-local-rag
Searches, saves, and maintains a local document index through a local RAG MCP server.
Ms Agent Framework RAG
shuyu-labs/WebCode
Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.
Local RAG Search
nkapila6/mcp-local-rag
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking.
Blockify Integration
iternal-technologies-partners/blockify-agentic-data-optimization
Process documents with Blockify API to create optimized IdeaBlocks for RAG.
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把已经确定核心判断的文章、成稿包或长文转成公众号、普通 X 分享图与 X Articles 后台封面。提炼一个可一眼读懂的视觉隐喻，按各平台目标尺寸分别使用 Image 2 一次生成画面和准确中文标题；不生成无字底图，不单独排版文字。主要验收隐喻、标题内容、构图、安全区和缩略图可读性。用于“给这篇文章做封面”“公众号和 X 都要封面”“做 5:2 Article 封面”“用 Adrian 或…
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Related
Categories
Questions about Ray Consult
What does Ray Consult do?
企业知识库 / AI 落地咨询一条线——前置诊断 + 方案蓝图。诊断段用 GROUND 六维模型评估就绪度,做需求考古识破"真问题",匹配病灶模式,输出成熟度等级 + 红黄绿可行性评级 + 变绿条件;方案段承接诊断结论,回答方案的四件事:建什么(参考架构四层)、用什么建(选型决策树)、按什么顺序建(Phase 0-3 分期)、谁来养(运营角色与机制)。当用户要评估一家企业能不能上知识库/AI…. Ray Consult is an agent skill from imraywang/rayskills.
When should I use Ray Consult?
Ray Consult fits situations like: tasks that involve Retrieval-augmented generation.
How do I install Ray Consult in Claude Code?
Run `npx skills add imraywang/rayskills --skill ray-consult -a claude-code`. Or copy the skill folder (skills/ray-consult in imraywang/rayskills) into .claude/skills/ray-consult in your project. Claude Code loads it when a task matches its description.
How do I install Ray Consult in Codex?
Run `npx skills add imraywang/rayskills --skill ray-consult -a codex`. Or copy the skill folder (skills/ray-consult in imraywang/rayskills) into .agents/skills/ray-consult in your project. Codex loads it when a task matches its description.
Can I use Ray Consult 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-consult -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-consult, .gemini/skills/ray-consult, .github/skills/ray-consult and .opencode/skills/ray-consult in your project.
What does Ray Consult need to run?
SKILL.md names no scripts, command-line tools or credentials: Ray Consult is instructions for the agent only.
Does Ray Consult 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 Consult 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. Review the folder before installing.
What licence does Ray Consult use?
Ray Consult 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 Consult use?
About 1.8k tokens (SKILL.md is roughly 7.2k 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 8.8k tokens, read only when the agent opens those files.
What are the alternatives to Ray Consult?
Skills that share tags, products or a category with Ray Consult: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), MCP Local RAG (shinpr/mcp-local-rag, 411 stars) and Ms Agent Framework RAG (shuyu-labs/WebCode, 278 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ray Consult?
imraywang (a GitHub user) maintains it in imraywang/rayskills, which has 159 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.