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Found 170 Skills
Automatically discover data pipeline and ETL skills when working with ETL, data pipelines, streaming, batch processing, data validation, or pipeline orchestration. Activates for data development tasks.
Unified Document Processing Hub, supporting creation, conversion, editing, and batch processing of formats including Word, Excel, PDF, Markdown, etc. Use when: - Create Word/Excel/PDF documents - Document format conversion - Batch document processing - Apply document templates - Document content editing - Media file conversion Cross-references: pdf, content-extractor, email-sender, long-form-writer, md-to-wechat, image-ocr Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
使用免费翻译API在语言之间翻译文本，支持批量处理和文件翻译。
Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.
Consolidate agent output results into structured final output, supporting multiple formats. Suitable for consolidating analysis reports and generating structured reports
AI-powered job search pipeline built on Claude Code with 14 skill modes, Go dashboard, PDF generation, batch processing, and portal scanning.
Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says "modal run", "modal training", "modal inference", "deploy to modal", "need a GPU", "run on modal", "serverless GPU", or needs remote GPU compute.
Use this skill when you need to retry failed file transfers/organizations. Given one or more failed transfer history record IDs, this skill guides you through querying the failure details, deleting the old records, and re-identifying and re-organizing the files. Supports batch processing of multiple files from the same media (e.g., multiple episodes of a TV show). This skill is automatically triggered when the system detects transfer failures and the AI agent retry feature is enabled.
Read, write, and manipulate LAS (Log ASCII Standard) well log files for borehole geophysical and petrophysical data. Use when Claude needs to: (1) Read/parse LAS 1.2 or 2.0 files, (2) Extract well headers or curve data, (3) Convert LAS to DataFrame/CSV/Excel, (4) Create new LAS files from arrays, (5) Modify existing LAS files, (6) Handle problematic or malformed LAS files, (7) Batch process multiple well files.
Get a fast, cheap, typed judgment over text or JSON from the jev CLI — a yes/no probability, one choice among labels, or an ordinal score — bare calibrated answers, never prose or explanations. Runs now from a shell or agent, in bulk (one decision per line) and in pipelines (exit codes, semantic grep). Use to classify, triage, route, screen, rank, filter or bulk-label items such as emails, customer feedback, chat or group messages, tweets, logs, git diffs or user requests, and as a cheap pre-filter before expensive LLM reading, a guardrail check, or a model/agent router. 适用：分类、筛选、分诊、路由、打分、是非判断、批量打标签、语义过滤——只要结论，不要解释。Not for judgments that must come with an explanation, analysis or a written reply; not for writing, summarizing or extracting text; not for math or date arithmetic. To design or code a TypeSafe integration inside an application, use the official `typesafe-ai` skill. Unofficial; calls TypeSafe's Jev model through the TypeSafe API (default) or OpenRouter.
Batch processing for Obsidian vaults: bulk tag normalization, wikilink extraction/fixing, frontmatter edits, vault analysis, and migration workflows. Use when asked to analyze or modify many notes in an Obsidian vault at scale, or to script/automate vault-wide changes.
Read and summarize WeChat Official Account articles. Trigger words: "/read-gzh", "Help me read this official account article", "Summarize this article"