Agent skill

Add Example Doc Model Env

by RLinf in RLinf/RLinf

Adds example documentation for a new model or environment in RLinf (RST pages in the docs gallery for both English and Chinese).

Apache-2.0Auto-check passedAI & LLM Engineering

Install Add Example Doc Model Env

skills CLI
$ npx skills add RLinf/RLinf --skill add-example-doc-model-env -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install RLinf/RLinf add-example-doc-model-env --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/RLinf/RLinf.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/add-example-doc-model-env .claude/skills/add-example-doc-model-env && rm -rf skills-src

Use ~/.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/

Facts

Skill name
add-example-doc-model-env
GitHub stars
5.5k
Token cost
~1.9k tokens
SKILL.md length
824 words
Files
2
Skills in repo
9
Repo updated
First seen
Licence
Apache-2.0

At a glance

Adds example documentation for a new model or environment in RLinf (RST pages in the docs gallery for both English and Chinese).

  • Works in 7 steps: Create the English RST file → Register in the English category index → If it is an embodied evaluation… → …
  • Adding a new embodied
  • SKILL.md covers Steps and Checklist
  • Reaches rlinf.readthedocs.io

What it does

Add Example Doc Model Env is an agent skill from RLinf/RLinf. Adds example documentation for a new model or environment in RLinf (RST pages in the docs gallery for both English and Chinese). Use when adding a new embodied or reasoning example, or new benchmark (e.g. LIBERO, ManiSkill).

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `reference.md`).

It sits in AI & LLM Engineering. The repository describes itself as: RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI. The licence is Apache-2.0.

When your agent uses it

  • Adding a new embodied
  • Reasoning example
  • New benchmark (e.g

Example prompts

  • “/add-example-doc-model-env”

Requirements

  • Docker

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Create the English RST file
  2. Register in the English category index
  3. If it is an embodied evaluation environment
  4. Create the Chinese RST file
  5. Register in the Chinese category index
  6. Update README.md
  7. Update README.zh-CN.md

What it can do on your machine

Read from SKILL.md and the folder at commit e27e631. 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

    Hosts in commands or code, which the agent is likely to contact:

    • rlinf.readthedocs.io

    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

Add Example Doc Model Env loads about 1.9k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 824 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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

The full file from RLinf/RLinf at commit e27e631, republished under its Apache-2.0 licence (© RLinf). 824 words, ~1,874 tokens.

Download SKILL.mdSave it as .claude/skills/add-example-doc-model-env/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
add-example-doc-model-env
description
Adds example documentation for a new model or environment in RLinf (RST pages in the docs gallery for both English and Chinese). Use when adding a new embodied or reasoning example, or new benchmark (e.g. LIBERO, ManiSkill).

Add Example Doc to a Model or Environment

Use this skill when adding example documentation for a new model (e.g. π₀, GR00T, OpenVLA) or environment (e.g. LIBERO, ManiSkill, MetaWorld) in RLinf. Documentation is added for both English and Chinese.

Before writing, read docs/STYLE_GUIDE.md and apply the refine-docs natural-language gate. Explain the reader's task before introducing implementation names; do not put an unexplained API term in a heading. Write English and Chinese independently from the same meaning instead of translating clause by clause. Keep familiar developer terms in English when an unusual translation would obscure the code.


Steps

  1. Create the English RST file
    Examples are now grouped by category:

    • embodied/ – embodied RL/VLA examples (e.g. ManiSkill, LIBERO, Dexbotic, π₀, OpenSora)
    • agentic/ – agent / tool-use / coder / math reasoning examples (e.g. SearchR1, coding_online_rl, reasoning)
    • system/ – placement, scheduling, system demos
      Path pattern: docs/source-en/rst_source/examples/<category>/<name>.rst
    • Example (embodied): docs/source-en/rst_source/examples/embodied/dexbotic.rst
    • Example (agentic): docs/source-en/rst_source/examples/agentic/searchr1.rst
      Follow docs/STYLE_GUIDE.md first, then use current examples in the same category for category-specific details (see reference.md).
  2. Register in the English category index
    The embodied gallery is split into five category index files that live directly under examples/ (not inside embodied/): simulators_index.rst (benchmark/simulator-centric), real_world_index.rst (real-robot hardware), vla_wam_index.rst (model-centric: π₀, GR00T, …), sft_index.rst (SFT recipes), and methods_index.rst (algorithm-centric: DAgger, RECAP, IQL, …). The example RST itself still lives at docs/source-en/rst_source/examples/embodied/<name>.rst; the index files reference it as embodied/<name>. Non-embodied categories (agentic, system) still use docs/source-en/rst_source/examples/<category>/index.rst.

    • Edit the matching index file (e.g. docs/source-en/rst_source/examples/vla_wam_index.rst for a new VLA model, or examples/<category>/index.rst for agentic/system).
    • Add an entry for <name> in the hidden .. toctree:: at the bottom (for embodied, prefixed: e.g. embodied/dexbotic).
    • Optionally add a gallery card in the correct section using the same HTML block pattern as existing cards (image, hyperlink to the rendered doc — embodied/<name>.html for embodied — short title + description).
      Note: The top-level examples/index.rst only links to the category indexes and usually does not need to be changed when adding a single example.
  3. If it is an embodied evaluation environment
    In docs/source-en/rst_source/evaluations/index.rst or the relevant evaluation guide, add the new evaluation flow:

    • For embodied examples: :doc:\Display Name <../examples/embodied/<name>``
    • For other categories, follow the existing pattern in that file and mirror the relative path used there.
  4. Create the Chinese RST file
    Use the same <category> and <name> as in English:
    Path: docs/source-zh/rst_source/examples/<category>/<name>.rst.
    Keep the same structure, sections, commands, and technical meaning as English, but rewrite the prose in natural Chinese. Do not mirror English sentence order. Use existing EN/ZH pairs under the same category (e.g. embodied/libero.rst in both source-en and source-zh) as reference.

  5. Register in the Chinese category index
    Edit the matching Chinese index file — for embodied, the same five split indexes under docs/source-zh/rst_source/examples/ (simulators_index.rst, real_world_index.rst, vla_wam_index.rst, sft_index.rst, methods_index.rst); for agentic/system, docs/source-zh/rst_source/examples/<category>/index.rst:

    • Add the same <name> entry to the hidden .. toctree::.
    • If you added a gallery card in the English index, add a matching Chinese gallery card here, following existing HTML patterns.
      If the Chinese evaluation docs list the same benchmark or environment, add the new example using the same relative path pattern as in English.
  6. Update README.md
    In the "What's NEW!" section at the top, add a new dated bullet, with the documentation link pointing to the correct category path, e.g.:

    • - [YYYY/MM] 🔥 ... Doc: [Display Title](https://rlinf.readthedocs.io/en/latest/rst_source/examples/embodied/<name>.html).
      If the example is a simulator, model, or feature that appears in the Key Features table, add a corresponding list item in the right column using the same category path (see reference.md).
  7. Update README.zh-CN.md
    In the "最新动态" section, add the same news item in Chinese with the doc link using /zh-cn/ and the correct category path, for example:

    • https://rlinf.readthedocs.io/zh-cn/latest/rst_source/examples/embodied/<name>.html
      If you added a feature list entry in README.md, add the same entry in README.zh-CN.md (Chinese display text, zh-cn in the link, and the same <category> segment).
Show full SKILL.md (210 more words)Show less
RST structure (concise)
  • Title (overbar length matches title).
  • Optional HuggingFace icon block (copy from libero.rst).
  • Short intro (what this example does, which model + env).
  • Environment: env name, task, observation/action space, task description format, data shapes.
  • Algorithm: PPO/GRPO/etc. and model architecture notes.
  • Dependency Installation: clone, install (Docker or pip).
  • Quick Start: exact commands and key YAML/config snippets.
  • Evaluation (if applicable): eval command and config notes.

Use existing examples in the same category (e.g. embodied/libero.rst, embodied/pi0.rst, agentic/searchr1.rst) as templates; see reference.md for a minimal template.


Checklist

  • English RST created: docs/source-en/rst_source/examples/<category>/<name>.rst.
  • English category index updated: docs/source-en/rst_source/examples/<category>/index.rst (toctree; optional gallery card).
  • If embodied eval env: docs/source-en/rst_source/evaluations/index.rst or the relevant evaluation guide updated with the new flow.
  • Chinese RST created: docs/source-zh/rst_source/examples/<category>/<name>.rst.
  • English and Chinese explain concepts before naming APIs; headings contain no unexplained implementation terms.
  • Chinese reads naturally and retains familiar, searchable English developer terms.
  • Chinese category index updated: docs/source-zh/rst_source/examples/<category>/index.rst (toctree; gallery card if added for EN).
  • If embodied eval env: Chinese evaluation page updated if it lists environments (use the same relative path pattern as EN).
  • README.md updated: new bullet in "What's NEW!" and, if applicable, entry in Key Features table (using the correct category path).
  • README.zh-CN.md updated: new bullet in "最新动态" and, if applicable, entry in 核心特性 table (using the correct category path).

© RLinf, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/add-example-doc-model-env of RLinf/RLinf.

  • SKILL.md
  • reference.md

Open the folder on GitHubat commit e27e631

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Questions about Add Example Doc Model Env

What does Add Example Doc Model Env do?

Adds example documentation for a new model or environment in RLinf (RST pages in the docs gallery for both English and Chinese). Add Example Doc Model Env is an agent skill from RLinf/RLinf. Adds example documentation for a new model or environment in RLinf (RST pages in the docs gallery for both English and Chinese).

When should I use Add Example Doc Model Env?

Add Example Doc Model Env fits situations like: adding a new embodied; reasoning example; new benchmark (e.g.

How do I install Add Example Doc Model Env in Claude Code?

Run `npx skills add RLinf/RLinf --skill add-example-doc-model-env -a claude-code`. Or copy the skill folder (.agents/skills/add-example-doc-model-env in RLinf/RLinf) into .claude/skills/add-example-doc-model-env in your project. Claude Code loads it when a task matches its description.

How do I install Add Example Doc Model Env in Codex?

Run `npx skills add RLinf/RLinf --skill add-example-doc-model-env -a codex`. Or copy the skill folder (.agents/skills/add-example-doc-model-env in RLinf/RLinf) into .agents/skills/add-example-doc-model-env in your project. Codex loads it when a task matches its description.

Can I use Add Example Doc Model Env 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 RLinf/RLinf --skill add-example-doc-model-env -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-example-doc-model-env, .gemini/skills/add-example-doc-model-env, .github/skills/add-example-doc-model-env and .opencode/skills/add-example-doc-model-env in your project.

What does Add Example Doc Model Env need to run?

SKILL.md names no scripts, command-line tools or credentials: Add Example Doc Model Env is instructions for the agent only. Our summary lists: Docker.

Does Add Example Doc Model Env access the network?

SKILL.md names 1 domain. In commands or code: rlinf.readthedocs.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Add Example Doc Model Env 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 Add Example Doc Model Env use?

Add Example Doc Model Env is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Add Example Doc Model Env use?

About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Add Example Doc Model Env?

Skills that share tags, products or a category with Add Example Doc Model Env: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Add Example Doc Model Env?

RLinf (a GitHub organization) maintains it in RLinf/RLinf, which has 5,457 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 8, 2026.

Source: RLinf/RLinf on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.