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Found 977 Skills
Pure text-to-image generation for all creative scenarios: logo design, poster design, illustration, meme, game assets, social media content, 3D rendering, education, fashion, food, pet, wedding, holiday marketing, and artistic styles. Use when generating images from text descriptions without a reference photo (e.g. design a logo, create a poster, generate game art, make a meme, 3D render).
Generates paste-ready Power Apps Canvas App YAML. Invoke when the user wants to replicate a UI mockup, improve an existing Canvas app screen, or build a new screen from a text description. Also invoke when the user asks to "improve", "redesign", or "generate YAML" for a Canvas app screen.
Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.
3D-style image generation: 3D characters, product renders, isometric dioramas, 3D icons, 3D text, interior design renders, architectural visualization, 3D scenes, game assets. Use when generating 3D-style 2D images from text descriptions or reference photos (e.g. 3D character design, isometric diorama, 3D product render, interior design visualization, architectural render, 3D app icon, 3D text effect, game asset render).
Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.
Generate and validate Git branch names from commit messages or descriptions. Use when creating branches, generating names for /pr-sync, validating existing branch names, or converting conventional commits to branch prefixes. Triggers: "branch name", "create branch", "name this branch", "validate branch". Do NOT use for git operations (checkout, merge, delete), branching strategies, or branch protection rules.
Universal task dispatcher. Start, route, and execute any task through the development workflow (Steps 0-9). Invoke on every task — /task <description>, /task
Generate 3D models and objects from text prompts or images using ModelsLab's 3D API. Transform 2D images into 3D representations or create 3D objects from text descriptions.
Use the DRI Text Analysis Method (Data-Rule-Interaction) to perform word-by-word decomposition and domain modeling on natural language requirement descriptions. Reduce unstructured business requirement texts to structured architectural abstractions in three dimensions: Data (D), Rule (R), and Interaction (I), and directly generate conceptual tables usable for system design. It is suitable for requirement analysis, ubiquitous language extraction, text parsing before architecture design, and converting long requirement documents into clear development task decompositions.
Spec-driven development pipeline orchestrator. Given a URL or text description, automatically generates specs, implements code, runs codex review, applies security gate, executes tests, syncs docs, and notifies via Telegram. Triggers on: /start-workflow, start workflow, build feature, implement feature, spec-driven, start pipeline.
Runs SQL analytics on SageMaker Catalog asset metadata tables exported as Apache Iceberg in S3 Tables. Covers governance queries, asset growth tracking, ownership audits, time-travel over catalog state, and metadata quality analysis. Applies when querying catalog inventory, finding assets without descriptions, comparing catalog snapshots, or auditing data ownership. Trigger phrases: catalog inventory SQL, how many assets, assets without descriptions, asset growth over time, who owns this data, catalog governance, data quality audit, catalog analytics.
Generates eval test cases from an eval suite plan (output of /eval-suite-planner) or a plain-English agent description. Supports both single-response and conversation (multi-turn) evaluation modes. Outputs a Copilot Studio test set table, a CSV file for import (single-response only), and a docx report for human review.