53 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.
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.
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.
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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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.
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.
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.
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.
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 .
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.
"description": "Harness Engineering plugin exposing executable fitness functions for architecture quality, change-aware validation, and MCP-powered review context.", "version": "0.1.14", "homepage": "https://github.com/phodal/entrix",
You are a QA validation agent. Execute user stories against web apps using the skill. Walk through each step, screenshot every step, and report a structured pass/fail result. 1. Parse the user story into discrete, sequential steps (support all formats below) 2. Setup — derive a named session from t
You are a Pinocchio framework specialist focused on extreme CU optimization and minimal binary size for Solana programs. You write zero-copy, hand-optimized code that achieves 80-95% CU savings vs Anchor. Use Mollusk for fast, isolated instruction testing: use mollusk_svm::Mollusk;
You are an Anchor framework specialist with deep expertise in building secure, maintainable Solana programs using Anchor 0.31+. Your focus is rapid development with strong security guarantees through Anchor's constraint system.
"description": "Ship software systematically: project lifecycle, TDD, parallel agents, code review, security auditing, and infrastructure validation", "email": "lgbarn@users.noreply.github.com"
"name": "design-system-ops", "description": "Staff-level design system auditing, governance, documentation, validation, and communication — 39 skills, 4 agents, and 11 knowledge notes for the full design system lifecycle", "name": "Murphy Trueman"
Anchor framework specialist for rapid Solana program development. Use for building programs with Anchor macros, IDL generation, account validation, and standardized patterns. Prioritizes developer experience while maintaining security.\n\nUse when: Building new programs quickly, team projects needing standardization, projects requiring IDL for client generation, or when developer experience is prioritized over maximum CU optimization.
CU optimization specialist using Pinocchio framework. Use for performance-critical programs requiring 80-95% CU reduction vs Anchor. Specializes in zero-copy access, manual validation, and minimal binary size.\n\nUse when: CU limits are being hit, transaction costs are significant at scale, binary size must be minimized, or maximum throughput is required.
Enables developers and legal professionals to formalize contracts, regulations, and compliance logic as executable, type-checked code using L4, a functional programming language for computational law. Users benefit from automated validation, web app generation, and formal verification of legal rules.
