Skill

env-and-assets-bootstrap

From lllllllama-ai-paper-reproduction-skill

Prepares conservative conda environments, checkpoint/dataset paths, cache hints, and setup notes for README-driven AI repo reproduction before runs.

Python

Bash

ai-ml

devops

npx claudepluginhub lllllllama/ai-research-workflow-skills

Tool Access

This skill uses the workspace's default tool permissions.

Preview

- After repo intake identifies a credible reproduction target.

Supporting Assets

agents/openai.yamlreferences/assets-policy.mdreferences/env-policy.mdscripts/bootstrap_env.pyscripts/bootstrap_env.shscripts/plan_setup.pyscripts/prepare_assets.py

SKILL.md

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Research Implement Skill

Implements research code from research_plan.md in outputs directories. Locates plan, detects language/ecosystem from src/ or frontmatter, sets up workspace, uses MCP for implementation.

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Stats

Stars10

Forks0

Last CommitApr 2, 2026

Actions

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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.