Skip to main content
affpapa.org
RU EN
skill Claude Code CX Codex Cursor GitHub Copilot

env-and-assets-bootstrap — Claude Code skill: prep a repo environment

Prepares environment and checkpoint/dataset paths before the first run of a README-documented repo.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add lllllllama/RigorPilot-Skills --skill env-and-assets-bootstrap -a claude-code
Open on GitHub

What env-and-assets-bootstrap does

The skill kicks in once a repo is picked as the reproduction target and no environment exists for it yet. It drafts a conservative plan: conda commands, assumptions about checkpoint and dataset paths, cache location hints, and setup notes. All of that happens before you run anything from the README.

Inside are two policy references (references/env-policy.md, references/assets-policy.md) and three Python scripts: scripts/bootstrap_env.py, scripts/plan_setup.py, scripts/prepare_assets.py. There is also scripts/bootstrap_env.sh, though it is only a POSIX wrapper around the Python bootstrapper when a shell entrypoint suits you better. Input it expects: the target repo path, the chosen reproduction goal, relevant README setup steps, and any known OS or package constraints.

The boundaries are tight. Target selection is not its job, and neither is final reporting. It does not scan repos or read papers — gaps get forwarded to an optional paper resolver. If the repo already ships a ready-to-run environment that needs no translation, the skill adds nothing. Same for generic conda questions outside a specific reproduction target.

What it helps with

  • draft an environment plan before the first run of a repo
  • pin down checkpoint and dataset paths
  • pick conda commands that match the README
  • flag unresolved dependency and asset risks
  • point out where cache directories live

Example prompts for the agent

  • prepare the environment and asset paths for this repo from its README
  • draft a conservative conda setup plan before we run anything
  • check which checkpoints and datasets are needed and where to find them

How to install env-and-assets-bootstrap

1Skills CLI (Vercel)

npx skills add lllllllama/RigorPilot-Skills --skill env-and-assets-bootstrap -a claude-code

2Manually: put the files in place

~/.claude/skills/env-and-assets-bootstrap/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/env-and-assets-bootstrap/

From the same set9

The whole set →
repo-intake-and-plan lllllllama Scans a repository through its README and project files, then builds a small reproduction plan. Use it before running experiments. Claude Code CX Codex Cursor +1 474,500installs minimal-run-and-audit lllllllama Captures and normalizes execution evidence from deep learning smoke tests and inference commands into standardized repro_outputs/ files. Claude Code CX Codex Cursor +1 474,400installs ai-research-explore lllllllama Governs deep learning research exploration on top of an existing baseline. It isolates candidate experiments and generates structured comparison reports. Claude Code CX Codex Cursor +1 335,600installs analyze-project lllllllama Reads a deep learning repository and maps its structure, entrypoints and suspicious spots. Changes nothing, runs no heavy jobs. Claude Code CX Codex Cursor +1 335,500installs ai-research-reproduction lllllllama This skill guides a repository-grounded reproduction run from its README to an evidence bundle. Use it to test a documented model run without quietly changing the experiment. Claude Code CX Codex Cursor +1 335,300installs explore-code lllllllama A skill for cautious code experiments in deep learning repositories: it transplants modules and adapts architectures on an isolated branch, with rollback-aware records. Claude Code CX Codex Cursor +1 335,000installs explore-run lllllllama Plans bounded exploratory machine learning runs with comparability caveats and saves summaries to explore_outputs. Claude Code CX Codex Cursor +1 334,700installs run-train lllllllama Runs a selected training command and organizes the resulting evidence. Use it for startup checks, short-run verification, full training kickoff, or resume handling. Claude Code CX Codex Cursor +1 334,700installs

Similar

nature-shared Yuan1z0825 A support package for the Nature Skills set. It holds shared definitions and journal formats that other skills load on demand, and never runs on its own. Claude Code CX Codex Cursor +1 13,100installs video-editing affaan-m AI-assisted workflow for editing, trimming, and enriching real footage. Connects raw recordings with FFmpeg cuts, Remotion overlays, and ElevenLabs voiceovers. Claude Code CX Codex Cursor +1 6,500installs gemini-api official google Connects Gemini API from Google Cloud Agent Platform to the agent. Gives access to Gemini models, multimodal input, function calling, and context caching. Claude Code Gemini CLI CX Codex 17,116installs open-source browser-use Reference guide for the browser-use open-source Python library. Helps configure Agent and Browser classes, custom tools, lifecycle hooks, and monitoring. Claude Code CX Codex Cursor +1 3,500installs skill-creator official anthropics Creates and refines skills, then tests them with prompts, evaluations, and performance checks. Claude Code Claude.ai 414,180installs writing-for-agents Matt Pocock Guidance for writing skills and agent-facing documents. Use it when editing AGENTS.md, CLAUDE.md, or reference files reached from them. Claude Code 466,719installs media-use heygen-com Finds or generates media for HyperFrames videos, including voiceovers, music, cutouts, and color grades. Stores files locally in assets. Claude Code CX Codex Cursor +1 1,100,000installs mcp-builder official anthropics This skill walks through building an MCP server in TypeScript or Python, from reading the protocol spec to writing tests and evaluation questions. Claude Code Claude.ai 130,949installs

Questions about env-and-assets-bootstrap

How do I install env-and-assets-bootstrap in Claude?

Run npx skills add lllllllama/RigorPilot-Skills --skill env-and-assets-bootstrap -a claude-code. The skill file then sits at ~/.claude/skills/env-and-assets-bootstrap/SKILL.md.

What does env-and-assets-bootstrap do?

It produces conservative environment notes, candidate conda commands, an asset path plan, and hints on where checkpoints and datasets come from. It works before any README command runs.

What is outside its scope?

It does not pick the reproduction target, scan the repo, interpret the paper, or write the final report. Paper gaps go to an optional paper resolver.

Source text

SKILL.md · MIT 
---
name: env-and-assets-bootstrap
description: Rigor Setup skill for README-first deep learning 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

Use this as the Rigor Setup skill. The installed slug remains
`env-and-assets-bootstrap` for compatibility.

Use the shared operating principles in
`../ai-research-reproduction/references/agent-operating-principles.md`; this skill should keep setup
planning conservative while leaving environment-specific judgment to the model.

## 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.

© lllllllama · MIT · lllllllama/RigorPilot-Skills

See also

Project sponsors

Companies that keep this analytics open
Gold sponsor
Nutra.Club

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor