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Found 5,884 Skills
Pdf Parser - Auto-activating skill for Business Automation. Triggers on: pdf parser, pdf parser Part of the Business Automation skill category.
Pubsub Topic Setup - Auto-activating skill for GCP Skills. Triggers on: pubsub topic setup, pubsub topic setup Part of the GCP Skills skill category.
Comprehensive writing guide for Angular documentation (adev). Covers Google Technical Writing standards, Angular-specific markdown extensions, code blocks, and components. Use when authoring or reviewing content in adev/src/content.
Guides development with SAP AI Core and SAP AI Launchpad for enterprise AI/ML workloads on SAP BTP. Use when: deploying generative AI models (GPT, Claude, Gemini, Llama), building orchestration workflows with templating/filtering/grounding, implementing RAG with vector databases, managing ML training pipelines with Argo Workflows, configuring content filtering and data masking for PII protection, using the Generative AI Hub for prompt experimentation, or integrating AI capabilities into SAP applications. Covers service plans (Free/Standard/Extended), model providers (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Mistral, IBM), orchestration modules, embeddings, tool calling, and structured outputs.
TypeScript, React, and Node.js coding standards: naming, types, hooks, components, error handling, refactoring, code review. Use when creating/editing TS/JS/React files, naming variables or components, designing API endpoints, handling async, structuring components, or when the user asks "how should I name...", "what's the best way to...", "is this good practice...", "can you review this code". Keywords: TypeScript, React, hooks, React Query, Jest, RTL, naming, immutability. Do not load for: CSS-only changes, documentation writing, JSON config edits, shell scripts.
Select the right Proof of Life (PoL) probe based on hypothesis, risk, and resources. Use this to match the validation method to the real learning goal, not tooling comfort.
World-class character and art style consistency for AI-generated images and videos - ensures visual coherence across series, maintains character identity, and provides rigorous QA before deliveryUse when "character consistency, art style, same character, consistent character, visual continuity, series, turnaround sheet, character sheet, reference image, character bible, style guide, anime character, consistent look, face consistency, outfit consistency, lora training, ip-adapter, flux kontext, visual qa, art quality, generation review, style drift, character drift, character-consistency, art-style, visual-qa, ai-art, image-generation, video-generation, anime, illustration, lora, ip-adapter, flux, midjourney, stable-diffusion" mentioned.
Scan and analyze a software repository or project for design quality using principles from A Philosophy of Software Design by John Ousterhout. Use when user asks to review, audit, scan, or evaluate code quality, design quality, architecture, or technical debt. Also trigger for: code review, design review, complexity analysis, code health check, module depth analysis, information hiding review, how good is my code, review my project, find design problems, what is wrong with my codebase, rate my code, or anything about evaluating software design quality at a structural level. This is not a linter or style checker. It evaluates deep design qualities like module depth, abstraction quality, information hiding, and complexity patterns.
Creates a comprehensive action plan that addresses both substance (strengthening your proposal, filling evidence gaps, doing research) and politics (winning over key people, sequencing conversations, handling objections). Use after /clarify or when you need to turn a goal into concrete actions that make your case stronger AND navigate the people involved.
Cloud & AI FinOps advisory skill. Structured cost optimization using the FinOps Foundation framework. Covers AWS, Azure, GCP, OCI, AI inference, and data platforms (Databricks, Snowflake). Use for: cloud costs, cost optimization, cloud spend, AI costs, cloud bill, FinOps assessment, GreenOps, right-sizing, commitment strategy, tagging governance.
Use this when users explicitly request to "generate NSFC schematic diagram/mechanism diagram" or need to convert the research mechanism, algorithm architecture, and module relationships in the proposal into "editable + embeddable" diagrams. By default, editable source files (`.drawio`) and rendered files (`.pdf`/`.svg`/`.png`) are output; when users actively mention the Nano Banana/Gemini image model, you can switch to PNG-only mode. ⚠️ Not applicable scenarios: Users only want to polish the main text (should rewrite text directly), only want to modify the format/size of existing images (should use image processing skills), and have no clear intention of requiring "schematic/mechanism diagram".
Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creating producers that write directly to Unity Catalog tables without a message bus, working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust, generating Protobuf schemas from UC tables, or implementing stream-based ingestion with ACK handling and retry logic.