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genpark-reasoning-budget-test-time-compute-allocator-skill

by Alpha-Park

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    • A
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      Enables agents to verify complex math, code, and logic reasoning through MCTS step-level process reward modeling, counterfactual backtracking, symbolic proof checking, and majority-vote consensus so hallucinated branches get pruned. It also allocates test-time compute dynamically and exposes these capabilities over a zero-dependency STDIO MCP server for Claude Desktop, Cursor, and other agent runtimes.
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      Enables AI agents to run structured multi-persona debates over high-stakes decisions and merge their positions into an explainable consensus, complete with logged dissenting minority opinions. It runs as a zero-dependency Python MCP server or importable module, compatible with Claude Desktop, Cursor, and custom agent frameworks.
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    • F
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      quality
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      Enables LLMs to reason dialectically by forcing separate thesis, antithesis, and synthesis passes, and to build verified code through a player-coach loop where an independent coach checks requirements and tests rather than trusting the model's self-report. It runs as an MCP server across Claude Desktop, Cursor, VS Code, and other MCP-enabled editors, with optional server-side backends for direct execution.
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