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Alternatives

Products that do what Whetstone – 20 Claude Code skills, each distilled from one real failure does

24 agent skills, each distilled from one concrete engineering failure — short, self-contained rule sets an AI coding agent (or a human) can apply without the original context.

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    Specialist AI engineering team for Claude Code

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    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

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    Vexilo86

    Claude Code planner w/ 31 agents, 92 commands, + 121 skills

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    10 evidence-first workflows for AI coding agents

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    789 skills & 10 autonomous agents for Claude Code

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    A skill pack an AI coding agent loads while it writes frontend code. It routes one of 19 skills per request, holds the output to 61 machine-checked constraints, and ships only when all 11 gates pass. Route a request and run the checks in your browser.

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  15. 15AA

    Hi I am Aditi and I co-founded Potpie AI with my college mate Dhiren. We are building an open-source infrastructure to create custom agents for engineering use-cases like debugging, system design, integration testing, PR review etc. The agents are powered by a knowledge graph built on your code base to provide better context and memory, leading to better planning and execution. Currently we offer 6 ready-to-use agents but you can also build your custom agents. You can tune agent parameters like purpose, goals, background etc. and they are also empowered by pre-built tooling like code…

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    50 AI-Native Coding Curricula for Claude Code & Cursor

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    Repository-aware AI skills for engineering knowledge

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    We just open-sourced the internal system we built at Assembled for running coding agents as a team. Coding agents worked well for individual engineers, but the surrounding workflow was a bit of a mess. We generally found that many engineers had different MCP connections and context for their agents, personal automations running that other people couldn’t access, and very little introspection for what a human’s input into the coding agent looked like. So we built an internal system that converted coding agents into shared team infrastructure. The system runs Codex, Claude Code, OpenCode, and…

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