emily2040/data-science-agent-skills
Data science & MLこのページは AI により自動翻訳されています。技術的な詳細は原文をご確認ください。 原文を見る
Independent Agent/Codex skills for high-leverage data science workflows, with hero shots, infographics, validation scripts, and provider interoperability notes.
概要
A production-grade catalog of with deterministic Python standard-library verification tools, strict eight-section decision contracts, and native execution support. Every skill requires the same final decision structure (Problem, Inputs, Checks performed, Findings, Decision, Risks, Next actions, Artifacts) and emits an explicit five-state verdict (go, fix-first, stop, proceed-with-risk, needs-owner-review). All helper scripts and validators use only the Python 3 standard library—no pip install or virtual environment required. - : OpenAI Codex, ChatGPT Agents, Anthropic Claude, Claude Code, Google Gemini, Gravity / Antigravity, GitHub Copilot, Cursor, Windsurf, Goose, OpenCode, OpenHands, LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, and Local LLM Agents. - : Every skill includes references/multilingual-guide.md with localized section headers, decision verdicts, and domain terminology in , , , and .
README
以下は原文 README の抜粋です。原文を見る。
Data Science Agent Skills
Language / 语言 / 言語 / 언어: English | 简体中文 | 日本語 | 한국어
A production-grade catalog of 25 judgment-heavy data science and ML engineering agent skills with deterministic Python standard-library verification tools, strict eight-section decision contracts, and native English, Simplified Chinese (简体中文), Japanese (日本語), and Korean (한국어) execution support.
Every skill requires the same final decision structure (Problem, Inputs, Checks performed, Findings, Decision, Risks, Next actions, Artifacts) and emits an explicit five-state verdict (go, fix-first, stop, proceed-with-risk, needs-owner-review).
Find The Right Skill By Project Stage
| Lifecycle Stage | Skill Package | Core Judgment & Scope | Primary Deterministic Script |
|---|---|---|---|
| Stage 1: Framing & Triage | Data Question Framing (data-question-framing) |
Turn vague business or research asks into measurable DS problem statements | scripts/decision_canvas_validator.py |
| Stage 1: Framing & Triage | AI Data Readiness Triage (ai-data-readiness-triage) |
Score whether datasets are ready for AI, analytics, or modeling | scripts/profile_table.py |
| Stage 1: Framing & Triage | Dataset Contract Forensics (dataset-contract-forensics) |
Infer and verify schema, grain, uniqueness, freshness, and null contracts | scripts/profile_table.py |
| Stage 1: Framing & Triage | Semantic Lineage Mapper (semantic-lineage-mapper) |
Trace table, column, and metric definitions across SQL, notebooks, and pipelines | scripts/extract_lineage_tokens.py |
| Stage 1: Framing & Triage | Messy Data Cleanroom (messy-data-cleanroom) |
Design reversible, auditable cleaning and quarantine rules without mutating raw data | scripts/profile_table.py |
| Stage 2: Validity & Leakage | Leakage Adversary (leakage-adversary) |
Red-team ML datasets and pipelines for target, temporal, group, and preprocessing leakage | scripts/split_leakage_probe.py |
| Stage 2: Validity & Leakage | Causal Assumption Scout (causal-assumption-scout) |
Audit causal claims for confounding, collider bias, post-treatment controls, and identification | scripts/confounder_backdoor_check.py |
推奨ツール
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インストール
npx skillfish add emily2040/data-science-agent-skills