64 boosters for "decision" — open source, verified from GitHub, ready to install
doc-coauthoring guides users through a structured three-stage workflow (context gathering, refinement, and reader testing) for collaboratively creating technical documentation, proposals, and specs. It benefits technical writers, engineers, and product managers who need to efficiently co-author structured content.
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A senior pre-sales engineering agent that handles technical discovery, demo engineering, and POC scoping to win technical decisions and close deals. Ideal for B2B SaaS teams, sales leaders, and product managers who need to bridge technical capabilities with business outcomes.
Analytics Reporter is an AI agent that transforms raw data into actionable business insights through statistical analysis, dashboard creation, and KPI tracking. Data teams and business analysts use it to generate strategic reports and data-driven recommendations.
A market intelligence agent that identifies emerging trends, analyzes competitors, and surfaces growth opportunities to inform product strategy and innovation decisions. Ideal for product managers, strategists, and business development teams.
Transforms complex business information into polished executive summaries using proven consulting frameworks (SCQA, Pyramid Principle) tailored for C-suite decision-makers. Ideal for consultants, strategists, and business leaders who need to distill lengthy analyses into actionable insights quickly.
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.
Software Architect is an expert agent that guides system design decisions using domain-driven design, architectural patterns, and trade-off analysis. It's ideal for teams needing strategic architecture guidance, senior engineers designing new systems, and organizations building scalable, maintainable software.
Automates the conversion of conversations and decisions into organized Notion wiki entries, how-tos, and FAQs with proper linking. Ideal for teams wanting to systematize knowledge capture and avoid losing context from chats and notes.
This booster provides expert guidance for developing, debugging, and optimizing Azure AI Document Intelligence applications, covering architecture, security, best practices, and deployment patterns. Developers building document processing solutions on Azure will benefit from its comprehensive troubleshooting and design pattern knowledge.
Packmind is an MCP server that captures and enforces your organization's technical decisions and coding standards across AI coding assistants like Claude and Cursor. It's essential for teams wanting consistent code governance and architectural compliance across their AI-assisted development workflow.
A local SQLite-based command-line task board for AI agents and developers to manage multi-step coding tasks, track progress, and coordinate work across sessions without external dependencies. Ideal for breaking down complex implementations into trackable subtasks with comments and checklists.
Chief Product Officer - assign executive product strategy, organization design, and portfolio decisions
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"
Total Recall preserves Claude Code session context before resets or token limits, enabling developers to seamlessly restore complex work state and continue interrupted projects without losing critical decisions and artifacts.
Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.
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
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:
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
"description": "2389.ai skill collection including Firebase, CSS, testing, and development workflows",
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.
