Specialist skill for Python data engineering — pandas, polars, DuckDB, numpy, ETL pipelines, tabular data ingestion, and notebook-to-module extraction. Use when working with dataframes, data validation at ingress boundaries, merge/join operations, typed column contracts, or choosing between pandas vs polars vs DuckDB for a data task.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Load standards-for-python-development for the shared rules. Load python3-typing for boundary schemas. Load python3-testing for parser and edge-case tests.
dtype= explicit in pd.read_csv() / pd.read_excel() — never rely on inferencepd.DataFrame crossing module boundaries without documented column contractmodel_config = {"strict": True} on all Pydantic boundary modelsinplace=True — deprecated, returns None, causes silent bugs| Trap | What to do instead |
|---|---|
df["a"]["b"] = x (chained indexing) | df.loc[:, "b"] = x — chained indexing silently fails |
.apply(lambda) on large frames | Vectorized ops first; .apply() only when no vectorized path exists |
pd.merge() without post-check | Assert no unexpected nulls or duplicate keys after merge |
df.drop(..., inplace=True) | df = df.drop(...) — inplace is deprecated and returns None |
Bare pd.read_csv(path) | Always pass dtype= to prevent silent type inference errors |
| Task | Use | Not |
|---|---|---|
| Tabular < 1M rows | pandas | Polars (overhead not justified) |
| Tabular > 1M rows or need speed | Polars | pandas |
| SQL-like analytics on local files | DuckDB | Loading everything into pandas |
| Read-only TOML config | tomllib (stdlib, binary mode "rb") | tomlkit |
| Read/write TOML preserving comments | tomlkit (text mode) | tomllib |
etl/
├── ingest.py # raw data loading (boundary)
├── validate.py # schema validation (boundary)
├── transform.py # business logic (typed core)
├── load.py # output writing (boundary)
└── types.py # shared typed models
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Add automated documentation updater to any Claude skill. Creates a Python sync script that downloads upstream docs, processes markdown for AI consumption, and maintains local cache with configurable refresh. Collects template variables, then delegates implementation through 5-phase workflow. Use when adding auto-updating reference documentation to plugins or skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
SAM-style feature initiation workflow — discovery through codebase analysis, architecture spec, task decomposition, validation, and context manifest. Use when a user asks to add a feature, plan a feature, or convert an idea into an executable SAM plan.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Browser automation for AI agents using the agent-browser CLI and Playwright. Use when navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, logging into sites, or automating any browser task. Triggers on "open a website", "fill out a form", "click a button", "scrape data", "test this web app", "automate browser actions", or any programmatic web interaction request.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Runs the description-drift experiment — spawns all Claude Code agents simultaneously to collect self-reported capabilities, then compares them against static frontmatter descriptions to reveal how reliable orchestrator routing based on descriptions actually is. Use when measuring description drift across the agent fleet, re-running the capability collection experiment, analyzing a specific agent's self-reported capabilities, or auditing whether frontmatter descriptions accurately reflect agent behavior.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create or adapt Claude Code agent definitions. Use when creating an agent, changing subagent configuration, selecting agent scope, or designing a specialized delegation role.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.