Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/g4rb4sh-ml-repro
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data, ml, writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ml-repro
What's inside
- Skill name
ml-repro- Description
- Reproducibility checklist for ML code. Use when writing or reviewing training, evaluation, or data pipeline code, or when the user mentions experiments, models, or datasets.
- License
- MIT
- Instructions
- 17 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
When writing or reviewing ML code, verify: 0. Python >=3.11, recorded in project config; the actual interpreter and notebook kernel verified (details in `repo-bootstrap`). 1. Seeds fixed and logged (framework, numpy, dataloaders). 2. Experiment configuration versioned in files, not hardcoded or only in notebooks. 3. Identifiable data version (hash, snapshot, or immutable reference). Never paths to data that can change without trace. 4. Metrics and artifacts logged in the project tracker (see repo AGENTS.md); if the repo does not define a tracker, ask before introducing a new one. 5. Train/val/test separation without data leakage; document the split. 6. The experiment can be rerun with one documented command. For notebooks: reusable logic extracted into modules; the notebook only orchestrates and visualizes.
From G4rb4sh/MLE-setup, MIT.
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- 0.524score
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Personal knowledge base of problems already solved in other projects.
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llm-eval
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Design or improve evaluation for an LLM-based feature (RAG, agents, classification, extraction, chat).
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pr-review
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Review of a diff, branch, or PR before merging.
SkillBFreshness: BClaude Code +9 - 0.524score
prod-incident
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Handling a production incident: something is down, degraded, or returning incorrect results in a real environment.
SkillBFreshness: BClaude Code +9 - 0.524score
pre-delivery-audit
G4rb4sh
Final audit before delivering code or a system to a client.
SkillBFreshness: BClaude Code +9 - 0.524score
repo-bootstrap
G4rb4sh
Configures a repository that does not have agent setup.
SkillBFreshness: BClaude Code +9 - 0.519score
eda
G4rb4sh
Standardized initial exploration of a new dataset.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 30, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/G4rb4sh/MLE-setup
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from G4rb4sh
- 0.524score
scoping
G4rb4sh
Scoping and technical estimation of a project or feature for a client.
SkillBFreshness: BClaude Code +9 - 0.524score
handoff
G4rb4sh
Generates delivery documentation for handing a consulting project over to the client.
SkillBFreshness: BClaude Code +9 - 0.524score
kb
G4rb4sh
Personal knowledge base of problems already solved in other projects.
SkillBFreshness: BClaude Code +9 - 0.524score
llm-eval
G4rb4sh
Design or improve evaluation for an LLM-based feature (RAG, agents, classification, extraction, chat).
SkillBFreshness: BClaude Code +9 - 0.524score
pr-review
G4rb4sh
Review of a diff, branch, or PR before merging.
SkillBFreshness: BClaude Code +9 - 0.524score
prod-incident
G4rb4sh
Handling a production incident: something is down, degraded, or returning incorrect results in a real environment.
SkillBFreshness: BClaude Code +9
Done for you
Rather not set it up yourself?
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- founders on every account
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Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
ml-repro skill. Agent Mart. https://agentmart.dev/skills/g4rb4sh-ml-repro (last updated 2026-10-24)