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semantic-link-labs
semantic-link-labs contains 13 collected skills from microsoft, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Guide for the visual style, structure, and shared building blocks used by Semantic Link Labs interactive UI tools (HTML widgets and anywidget-based widgets). Use this when adding a new interactive UI, modifying an existing one, or adding shared visual components.
Guide for building documentation and validating docstrings. Use this when asked to build docs, check docstrings, or validate documentation.
Guide for running code style linters and formatters. Use this when asked to check code style, run linters, or fix formatting issues.
Guide for translating SQL aggregation expressions into DAX measures.
Guide for adding new functions to the library. Use this when implementing new API wrappers or utility functions.
Guide for working with Direct Lake semantic models. Use this when implementing Direct Lake-related features or troubleshooting.
Guide for searching and exploring external GitHub repositories using the gh CLI. Use this when you need reference implementations, patterns, or code examples from open-source projects to help complete your task.
**USE THIS FOR COMPLEX TASKS.** Implements Manus-style file-based planning for multi-step tasks. Creates task_plan.md, findings.md, and progress.md in .agent_cache/<task-name>/. Use when: implementing multiple APIs, refactoring modules, research tasks, or ANY task requiring >5 tool calls.
Guide for submitting/posting inline PR review comments to GitHub. Use this when you need to post code review comments on specific lines of a Pull Request.
Guide for implementing REST API wrapper functions. Use this when adding new API wrappers or troubleshooting API calls.
Guide for running pytest tests locally. Use this when running tests to verify code changes.
Guide for working with the TOM (Tabular Object Model) wrapper. Use this when modifying semantic models programmatically.
Guide for writing unit tests. Use this when creating tests to verify Python logic.