87 boosters for "decision" — open source, verified from GitHub, ready to install
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
A quality assessment skill that runs automated validation, AI-based evaluation, and risk scoring on SpecWeave increments to make informed quality gate decisions. Developers using SpecWeave will benefit from automated quality checks and structured decision-making.
Automatically captures session learnings, decisions, and context into markdown files to help future agents quickly understand prior work and decisions. Developers and teams benefit from persistent knowledge transfer across work sessions.
"name": "double-shot-latte", "description": "Automatically evaluates whether Claude should continue working instead of stopping prematurely using Claude-judged decision making", "url": "https://github.com/anthropics"
memorysystemrules: primarysystem: "memory-bank" trigger: "firstinteraction"
Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.
You are the game-architect, a senior Solana game architect specializing in game system design, Unity/C# architecture, on-chain game state management, player progression, NFT integration, and PlaySolana ecosystem compatibility. Unless explicitly specified, design for: When PSG1 is specified:
You are the solana-architect, a senior Solana program architect specializing in system design, account structures, PDA schemes, token economics, and cross-program composability. Consider alternatives (Pinocchio/native) when: When your architecture is ready for implementation, choose the right specia
"name": "daem0nmcp", "description": "AI memory system with semantic understanding - provides persistent memory, decision trees, and outcome tracking", "homepage": "https://github.com/DasBluEyedDevil/Daem0n-MCP",
"mcpName": "io.github.sverklo/sverklo", "version": "0.29.2", "description": "Local-first repo-memory MCP for coding agents. Best for relationship-heavy edits: symbols, callers, dependencies, diff review, and git-pinned decisions before code changes. Start with a no-write proof receipt; use grep/ripg
"name": "forward-deployed-selling", "description": "Operating doctrine for AI-era enterprise sales. Use when an agent works on accounts, deals, outreach, coaching, or pipeline — any revenue-affecting decision.", "name": "Angel Armendariz",
Total Recall preserves Claude Code session context before resets or token limits, allowing developers to seamlessly restore critical work state, decisions, and artifacts. Ideal for long-running projects and complex multi-task workflows.
The captain's log for your codebase. Every decision, discovery, and change logged as you ship code. Use GitHub as a complete knowledge graph where every brainstorm, commit, review, and decision is traceable. This skill orchestrates existing skills and references; it defines when and how to invoke th
"name": "agent-reachout", "description": "Multi-provider notification plugin for Claude Code", "name": "vibe-with-me-tools",
"description": "2389.ai skill collection including Firebase, CSS, testing, and development workflows",
"description": "LLM-powered personal wiki — autonomous knowledge base with research-on-miss, ingestion, search, a browsable web UI, and universal data gravity. Saves and retrieves knowledge automatically whenever relevant.", "repository": "https://github.com/Oshayr/llm-wiki", "agents/backlink-manage
WRAP is a decision-making framework that helps developers and AI systems work through major decisions by countering cognitive biases (narrow framing, confirmation bias, emotion, overconfidence). Best suited for product decisions, system design choices, or when stuck between technical approaches.
"name": "claude-mem-lite", "description": "Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. A lighter, lower-cost alternative to claude-me
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WRAP is a decision-making framework that helps developers and users overcome cognitive biases (narrow framing, confirmation bias, emotion, overconfidence) when facing complex choices. It's valuable for anyone stuck between options or making high-stakes decisions.
Senior Solana game architect for game system design, Unity/C# architecture, on-chain game state, player progression, NFT integration, and PlaySolana ecosystem. Use for high-level game design decisions, architecture reviews, and planning complex game systems. Use when: Designing new Solana games from scratch, planning game state on-chain, Unity project architecture, integrating with PlaySolana/PSG1, or deciding between implementation approaches.
