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Env And Assets Bootstrap

  • 140k installs
  • 512 repo stars
  • Updated July 26, 2026
  • lllllllama/ai-paper-reproduction-skill

env-and-assets-bootstrap is an agent skill that plans conda environments and asset paths before running a README-documented ML reproduction.

About

The env-and-assets-bootstrap skill is the Rigor Setup step in a README-first deep learning reproduction pipeline. It runs after repo intake selects a credible target and before any training or evaluation commands execute. The skill produces conservative environment setup notes, candidate conda commands, asset path plans, checkpoint and dataset source hints, and explicit unresolved dependency or asset risks. It deliberately does not own target selection, full orchestration, paper interpretation, final run reporting, or generic package management outside a specific reproduction goal. Inputs include the target repo path, chosen reproduction objective, relevant README setup steps, and known OS or package constraints. Supporting references env-policy.md and assets-policy.md plus scripts bootstrap_env.py, plan_setup.py, and prepare_assets.py ground setup planning. Developers skip it when the repository already ships a ready-to-run environment that needs no translation from README instructions.

  • Acts as Rigor Setup after repo intake and before any reproduction run commands.
  • Outputs conservative conda-first environment notes and candidate commands from README steps.
  • Plans checkpoint, dataset, and cache directory assumptions with explicit unresolved risks.
  • Defers target selection, orchestration, and final reporting to sibling reproduction skills.
  • Uses bootstrap_env.py, plan_setup.py, and prepare_assets.py reference scripts.

Env And Assets Bootstrap by the numbers

  • 139,884 all-time installs (skills.sh)
  • +29 installs in the week ending Jul 28, 2026 (Skillselion tracking)
  • Ranked #8 of 2,066 Data Science & ML skills by installs in the Skillselion catalog
  • Security screen: MEDIUM risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

env-and-assets-bootstrap capabilities & compatibility

Capabilities
conservative conda environment planning · checkpoint and dataset path assumptions · readme setup step translation · unresolved dependency risk surfacing · script backed bootstrap and asset prep
Use cases
research · data analysis
From the docs

What env-and-assets-bootstrap says it does

Use this as the Rigor Setup skill.
SKILL.md
This skill prepares environment and asset assumptions.
SKILL.md
It does not own target selection.
SKILL.md
npx skills add https://github.com/lllllllama/ai-paper-reproduction-skill --skill env-and-assets-bootstrap

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Listed on Skillselion
Installs140k
repo stars512
Security audit2 / 3 scanners passed
Last updatedJuly 26, 2026
Repositorylllllllama/ai-paper-reproduction-skill

How do I conservatively prepare conda, checkpoints, and datasets before attempting to reproduce a deep learning paper repo?

Prepare conservative conda environments, checkpoint paths, and dataset cache plans before reproducing a README-documented ML repo.

Who is it for?

Researchers reproducing README-documented ML repos who need setup planning before executing training scripts.

Skip if: Skip when the repo environment is already ready to run or the task is only scanning without execution prep.

When should I use this skill?

After repo intake identifies a reproduction target and before running setup or training commands.

What you get

Documented environment commands, asset path plan, and flagged dependency risks ready for a reproduction run attempt.

  • Environment setup notes
  • Asset path plan
  • Checkpoint and dataset source hints

By the numbers

  • Clear boundaries list four tasks this skill does not own: selection, orchestration, reporting, and generic conda help.

Files

SKILL.mdMarkdownGitHub ↗

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 ../../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.

Related skills

Forks & variants (3)

Env And Assets Bootstrap has 3 known copies in the catalog totaling 176k installs. They canonicalize to this original listing.

How it compares

Pre-run ML reproduction setup planner, not full pipeline orchestration or results reporting.

FAQ

Who is env-and-assets-bootstrap for?

Developers reproducing ML paper repos who need conda and asset planning from README instructions.

When should I use env-and-assets-bootstrap?

Before first run when checkpoints, datasets, or conda translation from README steps are uncertain.

Is env-and-assets-bootstrap safe to install?

Review the Security Audits panel on this page before installing in production.

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