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Found 9,903 Skills
Use Gate MCP through UXC for public spot and futures market data workflows with a fixed streamable-http endpoint and read-first guardrails.
Cleft Notes platform help — Apple-native AI voice-to-notes app with on-device transcription that turns spoken thoughts into organized markdown notes with auto-headings. Use when setting up Cleft Notes for capturing voice memos and converting rambling thoughts into structured notes, configuring Obsidian or Notion sync to route Cleft notes into an existing knowledge base, troubleshooting recordings that fail after a couple minutes or produce garbled transcription output, setting up Zapier automations to send Cleft notes to project management or CRM tools, choosing between Cleft free and Plus plans, deciding whether Cleft or Voicenotes or AudioPen fits your voice capture workflow, or evaluating Cleft for ADHD-friendly voice-first note-taking on Apple devices. Do NOT use for comparing AI meeting note-takers across platforms (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
This skill guides the use of Jupyter notebooks for data analysis, exploration, and visualization, particularly with BigQuery. It outlines best practices for notebook execution and validation (supporting both cell-by-cell execution and full notebook generation depending on tool availability), library installation, and structuring notebooks for clarity. It also covers specific rules for data cleaning, plotting, and integrating with BigQuery SQL and machine learning workflows. Relevant when any of the following conditions are true: 1. The user request involves a data analysis, data exploration, data visualization, or data insights task that requires multiple steps, queries, or visualizations to answer. 2. The user explicitly requests a notebook (.ipynb). 3. You are creating, editing, or executing cells in a Jupyter notebook. 4. You need to query BigQuery from within a notebook. DO NOT use the Python BigQuery client library; instead, you MUST use the `%%bqsql` magics explained in this skill.
Work with any Upstash TypeScript/JavaScript SDK including Redis, Box, QStash, Workflow, Vector, Search and Ratelimit. Use when the user is working with any Upstash product or SDK.
Build PyGraphistry visualizations with bindings, encodings, layout controls, static export, and privacy-aware sharing. Use for color/size/icon/badge styling, layout tuning, map/static output, and plot link sharing workflows.
All-in-one Assistant for Data Analysis and Office Productivity. Covers end-to-end workflows including data processing, analytical insights, report writing, PPT creation, and data visualization. Always approach from an expert perspective and think one step ahead for users. Proactively confirm with users when encountering uncertain issues. Supported features: Excel data analysis, campaign data review, ROI calculation, data visualization, report generation, PPT creation, formula generation. Use this skill when users mention terms like "analyze data", "create report", "make PPT", "Excel", "campaign analysis", "ROI", "review", "weekly report", "monthly report", "data processing", "chart", "visualization", "presentation", "spreadsheet", "formula".
Plan and run a multi-language or multi-region site. Use this skill when adding new locales, choosing URL structure for languages (subfolders vs subdomains vs ccTLDs), implementing hreflang, planning translation workflow, handling currency and date formats, designing for RTL languages, or auditing a stalled internationalization rollout. Triggers on internationalization, i18n, localization, l10n, hreflang, multi-language, translation workflow, RTL, locale, ccTLD, subfolder vs subdomain, language switcher. Also triggers when international audiences underperform or translations are stale.
Extract a validated learning from the current session, store it in the central agent learnings file, and sync the resulting Learnings section into the agent definitions used by the supported CLIs. User-only maintenance workflow for durable agent guidance.
Batch archive project items with Status set to Done using `gh project item-archive`. Also checks and guides on the configuration status of the Auto-archive built-in workflow (manual execution is basically unnecessary if enabled). Used for scenarios like "archive completed items", "organize Done items", "clean up the board", etc.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Reverse import existing novels. Parse written novels (unfinished or completed) into a standard project directory structure, compatible with the subsequent writing workflow of story-long-write. Internally reuse the deep analysis pipeline of story-long-analyze. Trigger methods: /story-import, "Import Novel", "Reverse Parse", "Import", "Import My Book"
Data file fetching and caching for geoscience applications. Download sample datasets with automatic caching, checksum verification, and multiple download sources. Use when Claude needs to: (1) Download datasets from URLs or DOIs, (2) Cache files locally with automatic verification, (3) Verify file integrity with SHA256/MD5 hashes, (4) Extract compressed archives (ZIP, TAR, GZIP), (5) Create data registries for reproducible workflows, (6) Fetch from Zenodo or other repositories.