PaperclipOrg
Claude Agent Skill · by Lllllllama

Env And Assets Bootstrap

When you're trying to reproduce an AI research repo and need to set up the environment before running anything, this handles the tedious bootstrap work. It gene

Install
Terminal · npx
$npx skills add https://github.com/obra/superpowers --skill test-driven-development
Works with Paperclip

How Env And Assets Bootstrap fits into a Paperclip company.

Env And Assets Bootstrap drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

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Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

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Source file
SKILL.md47 lines
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---name: env-and-assets-bootstrapdescription: Environment and assets sub-skill for README-first AI repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.--- # env-and-assets-bootstrap ## When to apply - After repo intake identifies a credible reproduction target.- When environment creation or asset path preparation is needed before running commands.- When the repo depends on checkpoints, datasets, or cache directories.- When the user explicitly wants setup help before any run attempt. ## When not to apply - When the repository already ships a ready-to-run environment that does not need translation.- When the task is only to scan and plan.- When the task is only to report results from commands that already ran.- When the request is a generic conda or package-management question outside repo reproduction. ## Clear boundaries - This skill prepares environment and asset assumptions.- It does not own target selection.- It does not own final reporting.- It does not perform paper lookup except by forwarding gaps to the optional paper resolver. ## Input expectations - target repo path- selected reproduction goal- relevant README setup steps- any known OS or package constraints ## Output expectations - conservative environment setup notes- candidate conda commands- asset path plan- checkpoint and dataset source hints- unresolved dependency or asset risks ## Notes Use `references/env-policy.md`, `references/assets-policy.md`, `scripts/bootstrap_env.py`, `scripts/plan_setup.py`, and `scripts/prepare_assets.py`.Use `scripts/bootstrap_env.sh` only as a POSIX wrapper around the Python bootstrapper when a shell entrypoint is more convenient.