Processing
Data transformation and parsing
azure-ai-transcription-py
by microsoft
Azure AI Transcription SDK for Python. Use for real-time and batch speech-to-text transcription with timestamps and diarization. Triggers: "transcription", "speech to text", "Azure AI Transcription", "TranscriptionClient".
azure-ai-translation-text-py
by microsoft
Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications. Triggers: "text translation", "translator", "translate text", "transliterate", "TextTranslationClient".
pandas-pro
by Jeffallan
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
invoice-organizer
by ComposioHQ
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
obsidian-bases
by kepano
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
meeting-insights-analyzer
by ComposioHQ
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
dummy-dataset
by phuryn
"Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos."
summarize-interview
by phuryn
"Summarize a customer interview transcript into a structured template with JTBD, satisfaction signals, and action items. Use when processing interview recordings or transcripts, synthesizing discovery interviews, or creating interview summaries."
north-star-metric
by phuryn
"Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation. Classify the business game (Attention, Transaction, Productivity) and validate against 7 criteria for an effective North Star. Use when choosing a North Star Metric, setting up a metrics framework, learning about the North Star Framework, or deciding what to measure."
instrument-data-to-allotrope
by anthropics
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
x-nets
by x-cmd
Enhanced netstat module with cached data and structured output. View network connections, routing tables, and interface statistics in interactive or TSV/CSV formats. Dependency: This is an x-cmd module. Install x-cmd first (see x-cmd skill for installation options). see x-cmd skill for installation.
weather-skill
by google
A skill that provides weather information based on reference data.
nemo-curator
by Orchestra-Research
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
video-to-gif
by microsoft
'Video-to-GIF conversion skill with FFmpeg two-pass optimization - Brought to you by microsoft/hve-core'
ctf-forensics
by ljagiello
Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, Volatility, PCAP, Docker images, coredumps, side-channel power traces, DTMF audio spectrograms, packet timing analysis, CD audio disc images, or recovering deleted files and credentials.
minimax-xlsx
by MiniMax-AI
"Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format."
openakita/skills@pdf
by openakita
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
azure-kusto
by microsoft
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. USE FOR: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection DO NOT USE FOR: SQL databases (use azure-postgres), NoSQL queries (use azure-storage), Elasticsearch, AWS analytics tools
single-cell-rna-qc
by anthropics
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
prior-auth-review-skill
by anthropics
Automate payer review of prior authorization (PA) requests. This skill should be used when users say "Review this PA request", "Process prior authorization for [procedure]", "Assess medical necessity", "Generate PA decision", or when processing clinical documentation for coverage policy validation and authorization decisions.
nextflow-development
by anthropics
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
scvi-tools
by anthropics
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
zhuanxing-ai-daily
by wikicc2013
转型有术 · 企业 AI 每日早报 Agent。当用户希望了解过去 24 小时全球企业 AI 动态、阅读每日 AI 早报、扫描企业级 AI 资讯（产品发布/融资/部署案例/组织变革/基础设施/咨询研究/监管）时，必须使用本技能。触发词包括：「转型有术日报」「转型有术早报」「跑一下日报」「跑一下转型有术早报」「zhuanxing-ai-daily」「采集 AI 文章」「今天的 AI 新闻」「AI 早报」「AI 日报」「企业 AI 资讯」「扫一下 AI」「过去 24 小时 AI 动态」「昨天 AI 圈发生了什么」「补充 X 篇」。即便用户只说「采一下」「跑下今天的 AI」「看看昨天的 AI 动态」「日报跑一下」，只要上下文涉及企业 AI 资讯的批量采集→去重→筛选→翻译→Markdown 交付，必须触发本技能。本技能聚焦「企业 AI」视角（B2B、落地、商业化、组织变革、咨询研究），不报道纯学术论文、消费级 AI 玩具、AI 艺术等。本版本（v5.1）在 Claude.ai 对话内单次执行，使用 web_fetch + web_search 抓取 181 个信源（全覆盖审计）——Karpathy 2026/01 推荐的 92 信源 + v4 原 64 + 用户扩展 28 个，由 Claude 直接翻译并输出一份完整 Markdown 早报，目标 30-50 篇按实际输出。v5.1 在 v5 跑过两次后修复了"抓取覆盖率不可见、Tier 0 24h 窗口太窄、Substack/微信公众号反复 fetch 失败、新增 28 源 0 利用率、目标 60 落差大"等真实问题。区别于同家族 skill：本技能是「每日全景早报」，不同于 enterprise-ai-radar（单家企业深度情报）、enterprise-ai-product-radar（周/月产品扫描）、ai-report-radar（研究报告扫描）、global-case-radar（已定型案例扫描）。
🧠 SKILL: Automated Data Analysis Pipeline (D2P)
by omosb1-sys
생성된 모든 코드는 직접 실행하여 검증한 뒤 깨끗한 상태로 전달합니다.