agentleFS
spatiespatie/ray-skills/skills/ray/SKILL.md

ray

Skill6 starsChanged 10 months agoMITView on GitHub

Teaches how to interact with the Ray application. This skill should be used when users want to interact with Ray through a coding agent or LLM with skills capabilities.

3 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. Railly/tinte★ 624same name
    2. imraywang/rayskills★ 385same name
    3. G1Joshi/Agent-Skills★ 15same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill whenever the user asks you to send something to Ray.

    line 10
  2. Distinctive:

    Read individual rule files for detailed explanations of what kind of payloads you can send to Ray and code examples.

    line 14

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

When to use

Use this skill whenever the user asks you to send something to Ray.

How to use

Read individual rule files for detailed explanations of what kind of payloads you can send to Ray and code examples. If the Ray MCP server is setup up, propose to the user to use it by default. ALWAYS propose the skill as a second option.

HTTP API

  • rules/ray-local-http.md - How the Ray local HTTP server works

Payload Types

  • rules/log.md - Log payload for general value logging
  • rules/table.md - Table payload for key-value data
  • rules/json.md - JSON string payload for structured data
  • rules/text.md - Text payload for plain text with preserved whitespace
  • rules/html.md - HTML payload for raw HTML content
  • rules/xml.md - XML payload for formatted XML
  • rules/carbon.md - Carbon payload for date/time
  • rules/custom.md - Custom payload for arbitrary content with custom label
  • rules/decoded-json.md - Decoded JSON payload for parsed JSON objects
  • rules/file-contents.md - File contents payload for displaying file content

Action Types

  • rules/action-confetti.md - Confetti action to celebrate
  • rules/action-hide-app.md - Hide Ray window
  • rules/action-show-app.md - Show Ray window
  • rules/action-clear-all.md - Clear all logs

Agent Payload Types

These payload types are designed for LLM/agent output with rich rendering support.

  • rules/agent-custom-html.md - Rich HTML with full CSS support
  • rules/agent-custom-markdown.md - Rendered Markdown content
  • rules/agent-custom-mermaid.md - Mermaid diagrams (flowcharts, sequence diagrams, etc.)

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.