21 boosters for "size" — open source, verified from GitHub, ready to install
Feedback Synthesizer is an agent that collects and analyzes user feedback from multiple channels to extract actionable product insights and prioritization recommendations. Product managers, designers, and engineering teams benefit from converting qualitative feedback into data-driven strategic decisions.
This booster helps Claude synthesize research from multiple Notion pages into structured briefs, reports, and comparisons with proper citations. It's ideal for knowledge workers and developers who need to aggregate and document information from Notion workspaces.
Heuristic scoring (no AI key configured).
A performance optimization skill that identifies and fixes loading speed, rendering, animations, images, and bundle size issues to create faster, smoother user experiences. Developers building web applications benefit from automated performance diagnostics and improvements.
Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. 1. Optionally validate dataset availability with . 2. Resolve + with .
A skill for querying and exploring Hugging Face datasets through the Dataset Viewer API, enabling developers to fetch metadata, paginate rows, search, filter, and download parquet files. Useful for data scientists and engineers working with public datasets in their AI/ML workflows.
Read and follow the CONTRIBUTING.md file in this repository for all code style conventions, commit message format, and development guidelines.
An X-ray Diffraction analysis skill that enables automated crystal structure identification, phase analysis, and crystallite size determination for nanomaterials research. Ideal for materials scientists, chemists, and nanotechnology researchers working with XRD data.
Teaches developers to write JavaScript leveraging Brendan Eich's core design principles—first-class functions, prototypes, and dynamic typing—for more idiomatic and powerful code. Best for intermediate to advanced developers wanting to deepen their JavaScript fundamentals.
PR Metrics is a cross-platform GitHub Action and Azure DevOps task that analyzes pull request size and test coverage, updating PR titles with indicators (XS, S, M, L, XL, 2XL, etc) and test coverage symbols (✔ or ⚠️).
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;
nano-spec is a lightweight, four-document specification methodology designed to help developers plan and document AI-assisted tasks in Windsurf through structured README, TODO, technical docs, and progress logs. It benefits teams wanting rapid, spec-driven development without heavyweight documentation overhead.
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.
"name": "codealive", "description": "CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and
"description": "Multi-model AI plan review: run any acpx-supported agent (Codex, Gemini, Kimi, Qwen, etc.) in parallel, synthesize feedback, debate contradictions", "url": "https://github.com/strml" "homepage": "https://github.com/STRML/cc-debate",
"name": "token-optimizer", "description": "Clarifies vague build prompts, carries forward compaction memory, summarizes source files, and protects Claude Code context by gating oversized noisy reads.", "name": "Satyam Pandey"
A Cursor-native linter configuration that enforces token-efficient file editing by integrating with the Astral.sh Python toolchain (ruff, pytest, pre-commit, etc.), enabling faster AI-assisted edits on resource-constrained agents.
This MCP server enables AI agents to perform essential image operations like resizing, converting, and compressing images through a unified pipeline. It's useful for developers integrating image processing capabilities into Claude-based applications.
Tauri-expert is a specialized agent for architecting production-grade Tauri desktop applications, guiding developers through Rust backend integration, IPC patterns, system tray features, and cross-platform deployment. It serves full-stack developers and teams building lightweight, performant desktop apps who need expert-level architectural guidance.
react-pro is an expert React development agent that helps developers build modern, performant web applications with advanced patterns like Hooks, Context API, and state management. It's ideal for teams creating new React components, refactoring legacy code, and solving complex UI challenges.
