Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Adds example documentation for a new model or environment in RLinf (RST pages in the docs gallery for both English and Chinese).
$ npx skills add RLinf/RLinf --skill add-example-doc-model-env -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install RLinf/RLinf add-example-doc-model-env --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/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-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 "add-example-doc-model-env" agent skill from https://github.com/RLinf/RLinf/tree/main/.agents/skills/add-example-doc-model-env into .claude/skills/add-example-doc-model-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-example-doc-model-env", 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/RLinf/RLinf/tree/main/.agents/skills/add-example-doc-model-envType 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 RLinf/RLinf --skill add-example-doc-model-env -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install RLinf/RLinf add-example-doc-model-env --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RLinf/RLinf.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/add-example-doc-model-env .agents/skills/add-example-doc-model-env && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "add-example-doc-model-env" agent skill from https://github.com/RLinf/RLinf/tree/main/.agents/skills/add-example-doc-model-env into .agents/skills/add-example-doc-model-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-example-doc-model-env", 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 RLinf/RLinf --skill add-example-doc-model-env -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install RLinf/RLinf add-example-doc-model-env --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RLinf/RLinf.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/add-example-doc-model-env .cursor/skills/add-example-doc-model-env && 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 "add-example-doc-model-env" agent skill from https://github.com/RLinf/RLinf/tree/main/.agents/skills/add-example-doc-model-env into .cursor/skills/add-example-doc-model-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-example-doc-model-env", 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/RLinf/RLinf.git --path .agents/skills/add-example-doc-model-env--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 RLinf/RLinf --skill add-example-doc-model-env -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install RLinf/RLinf add-example-doc-model-env --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RLinf/RLinf.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/add-example-doc-model-env .gemini/skills/add-example-doc-model-env && 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 "add-example-doc-model-env" agent skill from https://github.com/RLinf/RLinf/tree/main/.agents/skills/add-example-doc-model-env into .gemini/skills/add-example-doc-model-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-example-doc-model-env", 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 RLinf/RLinf add-example-doc-model-envInstalls 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 RLinf/RLinf --skill add-example-doc-model-env -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/RLinf/RLinf.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/add-example-doc-model-env .github/skills/add-example-doc-model-env && 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 "add-example-doc-model-env" agent skill from https://github.com/RLinf/RLinf/tree/main/.agents/skills/add-example-doc-model-env into .github/skills/add-example-doc-model-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-example-doc-model-env", 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 RLinf/RLinf --skill add-example-doc-model-env -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install RLinf/RLinf add-example-doc-model-env --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/RLinf/RLinf.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/add-example-doc-model-env .opencode/skills/add-example-doc-model-env && 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 "add-example-doc-model-env" agent skill from https://github.com/RLinf/RLinf/tree/main/.agents/skills/add-example-doc-model-env into .opencode/skills/add-example-doc-model-env/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-example-doc-model-env", 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.
add-example-doc-model-envAdds 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). 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.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e27e631. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
rlinf.readthedocs.ioFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from RLinf/RLinf at commit e27e631, republished under its Apache-2.0 licence (© RLinf). 824 words, ~1,874 tokens.
.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.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.
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 demosdocs/source-en/rst_source/examples/<category>/<name>.rst docs/source-en/rst_source/examples/embodied/dexbotic.rst docs/source-en/rst_source/examples/agentic/searchr1.rstdocs/STYLE_GUIDE.md first, then use current examples in the same category
for category-specific details (see reference.md).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.
docs/source-en/rst_source/examples/vla_wam_index.rst for a new VLA model, or examples/<category>/index.rst for agentic/system).<name> in the hidden .. toctree:: at the bottom (for embodied, prefixed: e.g. embodied/dexbotic).embodied/<name>.html for embodied — short title + description).examples/index.rst only links to the category indexes and usually does not need to be changed when adding a single example.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:
:doc:\Display Name <../examples/embodied/<name>``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.
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:
<name> entry to the hidden .. toctree::. 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).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>.htmlzh-cn in the link, and the same <category> segment).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.
docs/source-en/rst_source/examples/<category>/<name>.rst.docs/source-en/rst_source/examples/<category>/index.rst (toctree; optional gallery card).docs/source-en/rst_source/evaluations/index.rst or the relevant evaluation guide updated with the new flow.docs/source-zh/rst_source/examples/<category>/<name>.rst.docs/source-zh/rst_source/examples/<category>/index.rst (toctree; gallery card if added for EN).© 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
SKILL.md and 1 other file in .agents/skills/add-example-doc-model-env of RLinf/RLinf.
Open the folder on GitHubat commit e27e631
Add Example Doc Model Env 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 |
|---|---|---|---|---|---|---|
| Add Example Doc Model Env this skillRLinf/RLinf | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
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.
RLinf/RLinf
Adds a new publication page to the RLinf Sphinx docs (EN + ZH) and wires it into the Publications index/toctree.
RLinf/RLinf
Open a GitHub pull request for RLinf, or fix an existing one — checks the PR title against Conventional Commits, writes a precise description that follows .github/PULLREQUESTTEMPLATE.md, and lints…
RLinf/RLinf
Cross-check RLinf documentation against code, natural explanation flow, and other docs, including English-Chinese parity.
RLinf/RLinf
Check, fix, or extend requirements/install.sh and its docker/Dockerfile coverage when adding a new embodied model or environment in RLinf, so the install logic reuses common utilities, keeps system…
RLinf/RLinf
Test that requirements/install.sh works for an embodied model/env by building its venv and running the matching CI e2e test.
RLinf/RLinf
Adds install command in install script, Docker build stage in Dockerfile, and CI jobs for docker build and embodied e2e test when introducing a new model or environment in RLinf.
Categories
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).
Add Example Doc Model Env fits situations like: adding a new embodied; reasoning example; new benchmark (e.g.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.