Skill UI

Append a sales deal status update directly into a Google Sheets tracking spreadsheet to keep pipeline data synchronized across your team.

Exports a Google Contacts directory into a Google Sheets spreadsheet by listing domain people via the gws-people tool and appending the retrieved name, email, and phone data row by row.

This comprehensive tool automates nearly every aspect of Google Sheets management. Users can programmatically read, write, update, and append data across multiple ranges. Key functionalities include creating new spreadsheets, managing tabs (renaming, hiding), applying cell formatting, filtering data, performing lookups, and performing 'upsert' operations (update or insert records based on a unique key). Ideal for integrating spreadsheet data into automated workflows.

This skill provides comprehensive commands for creating, managing, versioning, and querying structured datasets within the Arize platform. It covers dataset CRUD operations, appending examples, and exporting data in various formats (JSON, CSV, Parquet) using the `ax` CLI. Ideal for preparing test data, generating evaluation examples, or retrieving golden datasets for LLM development and model testing.

This script provides a lightweight, standalone Python integration for Google Sheets, offering full read and write access without needing a dedicated server. Users can retrieve spreadsheet data in multiple formats (plain text, CSV, JSON), extract specific ranges, find sheets via search queries, and perform advanced write operations like updating, appending, or clearing cell values. It is highly suitable for automating data reporting, extraction, and workflow integrations involving Google Workspace.

A comprehensive tool for updating Feishu cloud documents. It supports seven distinct update modes including appending, full overwrite, targeted range replacement, and multi-instance replacement. The system allows highly precise positioning using content ranges (ellipsis) or chapter titles, ensuring content updates are localized and safe, thus preserving images, comments, and formatting.

Provides comprehensive programmatic access to Notion, allowing users to create, update, archive, and compose rich content blocks within pages and databases. This skill covers the full page lifecycle—from initial creation with structured properties to appending complex blocks (headings, lists, toggles, code) and managing status updates. It is essential for building automated knowledge bases, automating content workflows, and programmatically managing enterprise information systems using the Notion API.

This advanced workflow provides comprehensive control over Notion's content structure. Use it to recursively read nested block trees, append diverse block types (headings, lists, code blocks, callouts), and apply rich text formatting (e.g., bold, link, mention). Ideal for automating complex content creation and data extraction from Notion pages.

A comprehensive playbook for digital forensic experts. It details systematic techniques and tools for detecting and extracting hidden data embedded across various media types, including images (LSB, PNG chunks, JPEG DCT, EXIF metadata), audio (spectrogram, DTMF), and files (polyglots, appended data). Essential for deep-dive forensic investigations.

Scan installed skills, extract shared cross-domain principles, and distill them into reusable rules. Supports appending, revising, or creating rule files during regular maintenance or after skill inventory updates.

This skill executes a rigorous, deterministic integrity forensic audit using an external, pinned Anti-Autoresearch framework. It sweeps the submitted paper to detect potential inconsistencies, rule violations, and structural anomalies. The resulting verdict is converted into a typed policy gate (BLOCK/WARN/NO_NEW_BLOCKER) and an append-only obligations ledger, providing a final layer of assurance before submission or publication.