1.2K skills · sorted by relevance
Create realistic sample data for testing, development, and demos. Specify fields, record counts, value ranges, and business rules, then receive CSV, JSON, SQL INSERT statements, or a Python generator script with validation and usage instructions.
Assess existing Google Cloud folders and projects through read-only discovery. Compare resource locations, service usage, and customer-managed encryption requirements with Assured Workloads frameworks, then report suitable options and policy readiness findings.
Explore document collections in Agent Platform RAG Engine, list their files, and retrieve relevant passages with source references. Use retrieved material to generate answers grounded in the collection through Python SDKs.
Connect Solidity security analyzers to Claude Code through MCP, a tool connection interface. Combine findings into a report sorted by severity, review contract changes, and generate tests for conditions that should always hold.
Generate FrontendIntegration YAML for frontend-forge from a simplified configuration containing one menu and one or more pages. Define resource tables or embedded iframe pages, with the bundled generator expanding menu placements into the required YAML structure.
Create new PPTX presentations, DOCX documents, XLSX spreadsheets, and PDF reports with PaperJSX. Describe content and layout in structured JSON, then run a Node.js script to generate the file and check that it is not empty.
Replay a recorded CARLA simulation in full or over a selected time range. Change playback speed, follow a particular vehicle, restore recorded weather, or regenerate sensor data to examine the run again.
Creates target-language speech from SRT subtitle files using KrillinAI CLI, with optional dubbed video output. Covers voice selection, choosing the target lines in bilingual subtitles, and checking the generated audio and video files.
Generates a cover image through KrillinAI CLI from a complete prompt describing the title, language, composition, and style. Also checks image-provider configuration, validates the output image, and confirms that the submitted prompt was saved accurately.
Build image generation workflows in Python with Stable Diffusion and HuggingFace Diffusers. The guide covers text prompts, transforming existing images, replacing selected regions, controlling composition, applying learned styles, and adjusting memory use during generation.
Generate speech from text for videos, audiobooks, and live interactions. The skill supports voice cloning from reference audio, emotion-based delivery, incremental audio generation, and Chinese, English, and dialect support, with quality-focused and faster model options.
Generate character images, backgrounds, synthetic speech, and music for product videos featuring 小省导购员, a digital shopping presenter. Coordinate these assets with InfiniteTalk to produce a 25-second vertical video made from five scenes.
Create PDF checklists, reports, and scorecards with Python in a sandbox, an isolated code execution environment. The workflow covers choosing a library, arranging headings and tables, generating the document, and checking that the output file exists.
Use the HyperFrames command-line tool to set up HTML-based video projects, check structure and text overflow, preview compositions, and export video. It also covers audio transcription, text-to-speech generation, and environment troubleshooting.
Generate narration with ElevenLabs from a script file or typed text. Select locally stored voice profiles, adjust voice settings for each request, and save the resulting audio to a chosen file.
Build GraphQL data queries and updates with separate operation files and generated types and hooks, reusable functions for React. Follow Apollo Client patterns for error messages, loading feedback, cache updates, and reusable field selections.
Add an animation that makes a finished interface look as though an AI agent is building it. It traces the element’s actual layout with dots, then reveals the interface, optionally alongside generation logs and CSS text.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
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Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies based on RL algorithm, task type, and cost; aggregating multi-dimensional pointwise scores into a scalar reward; pairwise tournament reward for GRPO on subjective tasks (net win rate across group rollouts); generating preference pairs for DPO/RLAIF; and normalizing scores for training stability. Use when building reward models, scoring rollouts for GRPO/REINFORCE, generating preference data for DPO, or doing Best-of-N selection.
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Comprehensive documentation specialist covering API documentation, technical writing, design documentation, migration guides, and changelog generation. Use when creating OpenAPI/Swagger specs, generating SDKs, writing user guides, creating README files, documenting architecture, writing design specs, creating ADRs, writing migration guides, or generating changelogs from git commits. Handles versioning, examples, developer experience, and user-facing documentation.
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Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
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Use when an agent must make TwelveLabs do real video-understanding work: indexing footage, semantic/visual search across an archive, generating descriptions, summaries, chapters, highlights, and tags from video, producing multimodal embeddings, or wiring TwelveLabs into a media-production pipeline (NLE panels, logging, compliance review, metadata). Covers the current model families (Marengo for search/embeddings, Pegasus for video-to-text analysis), the v1.3 Video Understanding API (indexes, assets, tasks, search, analyze, embed), prompt construction for analysis, capability and format limits, pricing/quota math, output quality review (hallucination and timestamp accuracy), and privacy/rights obligations when footage shows real people. Not for generating or editing video pixels — this is analysis and retrieval.
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Apply test quality principles when generating or reviewing test code. Enforces Arrange-Act-Assert structure, one behavior per test, assertion quality, test isolation, meaningful naming, and test data management. Use when writing tests, reviewing test code, or when the user mentions 'write tests', 'test this', 'test quality', 'test review', 'improve tests', or 'test structure'. Loaded automatically by the code-generating molecules (code-forge, refactor-safely, bug-fix). This skill governs the craft of writing individual test cases -- not what to test (that is driven by the code being implemented) but how to write tests that are reliable, readable, and maintainable.
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Apply clean code principles when generating or modifying implementation code. Enforces function focus, naming clarity, complexity management, error handling, and self-documenting style. Use when the user mentions 'clean code', 'code quality', 'coding guidelines', or 'implementation quality'. Loaded automatically by the code-generating molecules (code-forge, refactor-safely, bug-fix). This skill governs the craft of writing individual code units -- not architecture (see architecture), not security posture (see secure-coding), not test structure (see test-quality), and not refactoring workflows (see refactor-safely).
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