71 boosters for "validation" — open source, verified from GitHub, ready to install
A toolkit for creating animated GIFs optimized for Slack with specific dimension, FPS, and color constraints. Developers building Slack integrations or bots will find this useful for generating compliant emoji and message GIFs.
Experiment Tracker is an AI agent that helps teams design, execute, and analyze A/B tests and feature experiments using data-driven methodology. Product managers, data scientists, and engineers use it to validate hypotheses and make statistically-grounded decisions.
API Tester is an expert agent that automates comprehensive API validation, performance testing, and security checks across integrations. It helps developers catch issues before users encounter them through advanced testing methodologies.
A specialized presales advisor for Chinese government digital transformation projects, helping technical teams navigate procurement policies, design solutions, and win bids through expertise in compliance, policy interpretation, and stakeholder management.
Enables AI assistants to programmatically create and edit PowerPoint presentations using PptxGenJS with layout helpers and validation utilities. Developers and content creators benefit from automating slide deck generation, modification, and troubleshooting.
Train language models using TRL (Transformer Reinforcement Learning) on fully managed Hugging Face infrastructure. No local GPU setup required—models train on cloud GPUs and results are automatically saved to the Hugging Face Hub. Use this skill when users want to: Use Unsloth () instead of standard
A skill for fine-tuning and training language models on Hugging Face's cloud GPU infrastructure using TRL, supporting SFT, DPO, GRPO methods and GGUF conversion for local deployment. Developers and ML engineers working with cloud-based model training benefit from this comprehensive guidance.
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TypeScript-first schema validation library with static type inference. This skill covers v4 patterns including the metadata registry system. Zod v4 stores metadata in registries (primarily ). Use as the primary API and as shorthand for description-only cases.
Generate getopts-based argument parsing for shell scripts. Invoke this skill when you need to:
"description": "Zero-config goal-to-tasks engine for Claude Code (the Atlas engine). Graded PRD validation, dependency-ordered task graph, and CDD-verified execution.", "url": "https://atlas-ai.au" "homepage": "https://github.com/anombyte93/prd-taskmaster",
Complete guide to handling data mutations in SolidStart using actions, forms, validation, and error handling. Actions handle form submissions. Forms must use : Use to pass additional arguments to actions:
Guide the configuration and management of GitHub Actions workflows, release automation, and CI/CD pipelines for the Saleor Configurator project. 1. Check workflow logs in GitHub Actions UI 2. Reproduce failure locally
"name": "open-ontologies", "description": "A Terraforming MCP for Knowledge Graphs: validate, classify, and govern AI-generated ontologies.", "name": "fabio-rovai"
A systematic debugging skill for web applications that leverages Chrome DevTools and Playwright MCPs to troubleshoot APIs, authentication flows, and UI issues. Developers working with web apps will benefit from its structured debugging approach and intelligent context discovery.
A multi-language quality validation tool that automatically runs linting, formatting, type checking, and tests across 9 programming languages to ensure code meets standards before PR submission. Developers use it to catch quality issues early and maintain consistent code standards throughout their projects.
Treat every competition as a validation problem first and a modeling problem second. The default target platform is Kaggle, so prefer Kaggle-native notebooks/scripts, datasets, model artifacts, competition submissions, and score receipts. For code competitions, assume the final notebook/kernel will
Use this skill for Step 3 work only. During schema work, act as an expert in event tracking design. Your job is not to list generic events. Your job is to produce a tracking plan that is:
Provides structured guidance for working with CUE schema files and parsing flows in invkfile, invkmod, and config schemas. Developers maintaining or extending CUE-based configuration validation will benefit from this reference.
SWR is a React hook library for efficient data fetching with built-in caching, revalidation, and real-time updates. Developers building API-driven applications benefit from simplified server state management and automatic synchronization.
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.
Use this skill for Step 3 work only. If schema context is not prepared yet: If the site has a live GTM container installed, make sure has already produced before running .
Systematic REST API development with error handling, validation, and consistent response formats. This Skill enforces: Apply when building API routes, handling errors, or designing responses.
A structured troubleshooting skill that helps developers systematically isolate root causes and validate fixes through hypothesis testing and evidence collection. Useful for anyone debugging complex issues in code or systems.
