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ads-creative
by AgriciDaniel
Cross-platform creative quality audit covering ad copy, video, image, and format diversity across all platforms. Detects creative fatigue, evaluates platform-native compliance, and provides production priorities. Use when user says "creative audit", "ad creative", "creative fatigue", "ad copy", "ad design", or "creative review".
ads-google
by AgriciDaniel
Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. Evaluates 74 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Use when user says "Google Ads", "Google PPC", "search ads", "PMax", "Performance Max", or "Google campaign".
agent-browser
by baptisteArno
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
hugging-face-model-trainer
by huggingface
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
hugging-face-datasets
by huggingface
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
hugging-face-cli
by huggingface
Execute Hugging Face Hub operations using the hf CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
hugging-face-tool-builder
by huggingface
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
hf-mcp
by huggingface
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
hugging-face-evaluation
by huggingface
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
hugging-face-trackio
by huggingface
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.
hive-test
by aden-hive
Iterative agent testing with session recovery. Execute, analyze, fix, resume from checkpoints. Use when testing an agent, debugging test failures, or verifying fixes without re-running from scratch.
building-compound-components
by tambo-ai
Creates unstyled compound components that separate business logic from styles. Use when building headless UI primitives, creating component libraries, implementing Radix-style namespaced components, or when the user mentions "compound components", "headless", "unstyled", "primitives", or "render props".
creating-styled-wrappers
by tambo-ai
Creates styled wrapper components that compose headless/base compound components. Use when refactoring styled components to use base primitives, implementing opinionated design systems on top of headless components, or when the user mentions "use base components", "compose primitives", "styled wrapper", or "refactor to use base".
ai-sdk-model-manager
by tambo-ai
Manages AI SDK model configurations - updates packages, identifies missing models, adds new models with research, and updates documentation
add-model-descriptions
by huggingface
Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
repo-website-api-create
by open-circle
Create new API reference pages for the Valibot website at website/src/routes/api/. Use when adding documentation for new schemas, actions, methods, or types. Covers reading source code, creating properties.ts and index.mdx files, updating menu.md, and cross-referencing related APIs.
docs-components
by reactjs
Comprehensive MDX component patterns (Note, Pitfall, DeepDive, Recipes, etc.) for all documentation types. Authoritative source for component usage, examples, and heading conventions.
docs-sandpack
by reactjs
Use when adding interactive code examples to React docs.
docs-writer-blog
by reactjs
Use when writing or editing files in src/content/blog/. Provides blog post structure and conventions.
react-expert
by reactjs
Use when researching React APIs or concepts for documentation. Use when you need authoritative usage examples, caveats, warnings, or errors for a React feature.
review-docs
by reactjs
Use when reviewing React documentation for structure, components, and style compliance
docs-writer-reference
by reactjs
Reference page structure, templates, and writing patterns for src/content/reference/. For components, see /docs-components. For code examples, see /docs-sandpack.
distributed postgres
by awslabs
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.
higress-auto-router
by alibaba
"Configure automatic model routing using the get-ai-gateway.sh CLI tool for Higress AI Gateway. Use when: (1) User wants to configure automatic model routing, (2) User mentions 'route to', 'switch model', 'use model when', 'auto routing', (3) User describes scenarios that should trigger specific models, (4) User wants to add, list, or remove routing rules."