87 boosters for "decision" — open source, verified from GitHub, ready to install
Senior Solana program architect for system design, account structures, PDA schemes, token economics, and cross-program composability. Use for high-level design decisions, architecture reviews, and planning complex multi-program systems. Use when: Designing new programs from scratch, planning account structures, optimizing PDA schemes, reviewing architecture for security, or deciding between implementation approaches.
World-class Mahjong AI master strategist. Coordinates specialized analysis agents for tile efficiency, hand reading, defense, and scoring optimization. Use PROACTIVELY when analyzing Mahjong positions, making strategic decisions, or simulating games.
"version": "0.14.4", "description": "Persistent memory system for AI coding assistants. Captures decisions, learnings, and context from coding sessions and surfaces them when relevant.", "name": "Robert Allen",
Enables Claude to maintain long-term memory across sessions, automatically recalling user context, preferences, and prior work to provide continuous, personalized assistance. Essential for developers who need stateful AI interactions across multiple conversations.
Automatically inserts checkpoint calls into jamovi R functions to enable incremental result rendering and change detection during long computations. Useful for jamovi module developers seeking to improve user experience with progress visibility.
"name": "prfaq-dev", "description": "Amazon Working Backwards PR/FAQ process — generate professional LaTeX documents for product discovery and decision-making", "name": "Punt Labs",
"name": "claude-memory", "description": "Long-term memory for Claude Code. Recalls architecture, conventions, and decisions across sessions — so Claude explains your codebase without file traversal, follows your patterns, and never re-asks what it already learned.", "name": "Valentino Stoll",
Total Recall preserves Claude Code session context before resets or token limits, enabling seamless context restoration across interruptions. Developers working on complex, long-running projects benefit most from avoiding context loss and rework.
"name": "inclusive-design-skills", "description": "Agentic skills for designing accessible, inclusive products — from cognitive accessibility to adaptive interfaces, inclusive research, and accessibility decision-making.", "cognitive-accessibility",
A technical decision-making agent that researches latest specifications and documentation to inform design and configuration choices during development. Developers benefit from automated best-practice guidance based on current standards rather than static knowledge.
"description": "Product research simulation engine. Generate AI personas with real behavioral psychology, simulate them through pricing, features, onboarding, and retention decisions. Ask a product question, get a research synthesis.", "name": "Ayush Saraswat" "repository": "https://github.com/saras
The architect agent automates system design for new projects and major refactoring efforts, helping teams create scalable architectures with documented trade-offs. Ideal for engineering teams starting greenfield projects or evaluating architectural changes.
A system prompt that guides LLMs to act as rigorous sustainability and risk analysts for Polkadot governance proposals, evaluating treasury allocations through investment frameworks, fiscal precedent, and accountability mechanisms.
MRF is a security-hardened metaprompting framework designed to protect AI agents from prompt injection attacks while enabling structured decision-making. It benefits developers building production agents on Claude platforms who need robust input sanitization and instruction clarity.
The Strategic Queen Agent is a high-level orchestration agent that coordinates complex multi-agent workflows and enterprise decision-making across distributed systems. It benefits platform engineers and DevOps teams managing large-scale agent-based architectures who need centralized control and monitoring.
HoloLoom is a neural decision-making system prompt integrating prompt management, analytics, and Thompson Sampling optimization for LLM applications. Developers working with multi-agent systems and prompt optimization would benefit from its structured approach to prompt selection and performance tracking.
A Git history analysis specialist agent that uncovers why code exists and how it evolved by examining commits, blame annotations, and development patterns. Developers benefit by quickly understanding architectural decisions and past implementation attempts without manually digging through git logs.
A Chief Technology Officer agent that guides enterprise technology strategy decisions, including investment evaluation, technical vision setting, and architectural planning. Ideal for organizations needing structured CTO-level guidance on technology roadmaps and innovation initiatives.
A persistent memory agent that maintains project context across sessions by recording decisions, errors, and preferences. Developers benefit by avoiding repeated mistakes and maintaining consistency in multi-session projects.
PM is a Product Management specialist agent that automates release scoping and semantic version decisions by analyzing change content and scope. It helps engineering teams ensure releases follow versioning standards and align with product goals.
Zeus is a thematic multi-agent coordinator agent designed for strategic decision-making and performance tracking, but lacks concrete implementation details and practical use cases.
Solution Architect is an agent that assists with technical design, architectural decisions, and system evolution by providing trade-off analysis and constraint management. It's valuable for teams making critical technology decisions and designing scalable systems.
An AI agent that serves as a senior software architect for the OmniMerchant system, helping teams design, extend, and maintain features within the Clean Architecture framework. Ideal for development teams working on OmniMerchant or similar large-scale systems.
High Society is a system prompt for building a top-down 2D retro drug dealer simulator with emergent gameplay and tension-based decision-making. Game developers and AI-assisted game designers can use this to scaffold complex simulation mechanics.
