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generate-openenv-env Skill

AI Agent SkillPythonOpen source

Generate OpenEnv environments from a concrete use case (for example, "generate an env for the library textarena"). Use when asked to design or implement a new environment under envs/ by researching a target library/API, selecting matching OpenEnv examples, asking key implementation questions, and building models/client Published by huggingface in OpenEnv.

What is generate-openenv-env Skill?

Generate OpenEnv environments from a concrete use case (for example, "generate an env for the library textarena"). Use when asked to design or implement a new environment under envs/ by researching a target library/API, selecting matching OpenEnv examples, asking key implementation questions, and building models/client Published by huggingface in OpenEnv. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
84/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Design and media
  • Research
  • Documentation use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use generate-openenv-env Skill

  • Use it for documentation.
  • Use it for design and media.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: huggingface
  • Repository: huggingface/OpenEnv
  • Skill file: .claude/skills/generate-openenv-env/SKILL.md

What it does

Generate OpenEnv environments from a concrete use case (for example, "generate an env for the library textarena"). Use when asked to design or implement a new environment under envs/ by researching a target library/API, selecting matching OpenEnv examples, asking key implementation questions, and building models/client

Skill instructions

/generate-openenv-env Build a production-ready OpenEnv environment from a use-case prompt. Execute Workflow When invoked, execute this workflow end-to-end. 1. Parse the use case and name the environment Derive a repo path in the form envs/<nameenv/. - Normalize to snakecase. - Keep names short and domain-specific. - Example: "generate an env for the library textarena" - envs/textarenaenv/. 2. Research the target library/API before coding Gather the minimum interface facts needed to implement reset, step, and state serialization. - Search local docs/examples first. - Search upstream docs/repo for the target library when local context is insufficient. - Extract only implementation-critical details: - installation/dependency requirements - environment creation API - action format - observation format - reward and done semantics - special setup (model files, downloads, auth, etc.) 3. Mine matching OpenEnv examples Select 2-3 existing environments as implementation templates. - Always read

Explore related resources

Frequently asked questions

What is generate-openenv-env?

generate-openenv-env is a open-source AI agent skill with Copy skill directory. Generate OpenEnv environments from a concrete use case (for example, "generate an env for the library textarena").

Who is generate-openenv-env best for?

generate-openenv-env is best for reusing agent instructions, scripts, and references, documentation workflows, design and media workflows, research workflows.

How do I install generate-openenv-env?

Install or run generate-openenv-env using Copy skill directory. Check generate-openenv-env for the latest setup command.

Is generate-openenv-env actively maintained?

generate-openenv-env may need a closer maintenance check before production use.

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Forks
411
Last commit
9 days ago
Repository age
10 months
License
BSD-3-Clause

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