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genpark-reasoning-majority-voting-consensus-engine-skill

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by alphaparkinc
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Python
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      F
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      Not graded
      quality
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      Enables aggregating divergent LLM reasoning trajectories via multi-path chain-of-thought self-consistency consensus scoring and majority voting into high-confidence deterministic outputs. Plugs into any MCP-compliant client over JSON-RPC 2.0 stdio with zero external dependencies.
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    • genpark-agent-self-consistency

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      Aggregates multiple divergent LLM reasoning trajectories through majority voting and consensus scoring to produce high-confidence deterministic outputs without additional model calls. Plug into any MCP-compliant client to resolve agent tasks with sub-millisecond, zero-dependency execution.
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    • genpark-reasoning-budget-test

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      A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to dynamically allocate test-time compute, including entropy-driven thinking token budgets, temperature annealing, and reflection passes, while verifying reasoning via MCTS search with process reward modeling, counterfactual backtracking, formal proof checking, and majority-vote consensus. Runs as a zero-dependency Python MCP server over STDIO JSON-RPC for integration with Claude Desktop, Cursor, or custom agent runtimes.
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      A
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