Agent Skills › winstonkoh87/Athena-Public › synthetic-parallel-reasoning

synthetic-parallel-reasoning

GitHub

自动化执行Protocol 75 v4.0，强制调用四个并行API角色（专家、怀疑者、模式匹配器、第一性原理）进行深度推理。拒绝单步回答，通过对抗收敛门确保复杂战略瓶颈问题的分析质量。

examples/skills/research/synthetic-parallel-reasoning/SKILL.md winstonkoh87/Athena-Public

Trigger Scenarios

difficult problem what's the best strategy how should I handle this analyze this /ultrathink

Install

npx skills add winstonkoh87/Athena-Public --skill synthetic-parallel-reasoning -g -y

More Options

Non-standard path

npx skills add https://github.com/winstonkoh87/Athena-Public/tree/main/examples/skills/research/synthetic-parallel-reasoning -g -y

Use without installing

npx skills use winstonkoh87/Athena-Public@synthetic-parallel-reasoning

指定 Agent (Claude Code)

npx skills add winstonkoh87/Athena-Public --skill synthetic-parallel-reasoning -a claude-code -g -y

安装 repo 全部 skill

npx skills add winstonkoh87/Athena-Public --all -g -y

预览 repo 内 skill

npx skills add winstonkoh87/Athena-Public --list

SKILL.md

Frontmatter

{
    "name": "synthetic-parallel-reasoning",
    "model": "default",
    "auto-invoke": false,
    "description": "Automates Protocol 75 v4.0, forcing 4 parallel external API calls (Domain Expert, Adversarial Skeptic, Cross-Domain Pattern Matcher, Zero-Point First Principles) with an Adversarial Convergence Gate. The 'Einstein Protocol' application.",
    "allowed-tools": [
        "Bash",
        "Read"
    ],
    "argument-hint": "evaluate <complex-problem>",
    "context_trigger": "difficult problem, complex analysis, ultrathink, parallel reasoning, Einstein protocol, multi-perspective, deep evaluation"
}

Parallel Synthetic Architect (Protocol 75 Engine v4.0)

Deploys true parallel reasoning via parallel_orchestrator.py to evaluate a strategic bottleneck. Refuses single-shot answers to complex problems.

Triggers

"difficult problem", "what's the best strategy", "how should I handle this", "analyze this", /ultrathink

Core Mechanics (v4.0)

Phase 1 (Prime): Run semantic search, build internal CoT hypothesis, write context file.
Phase 2 (Execute): Run parallel_orchestrator.py — this dispatches 4 parallel Gemini API calls:
- Track A: Domain Expert (applies user's frameworks)
- Track B: Adversarial Skeptic (attacks premises, checks Law #1)
- Track C: Cross-Domain Pattern Matcher (finds isomorphic patterns)
- Track D: Zero-Point First Principles (inversion, RETO lens)
Phase 3 (Deposit): Read output, present synthesis, quicksave.

Enforcement

[!CAUTION] The script execution is MANDATORY. If the LLM writes a single-pass essay instead of running the script, it has violated this protocol. A single LLM checking its own homework hits a quality ceiling (Trilateral Feedback Loop principle).

Execution

python3 .agent/scripts/parallel_orchestrator.py "<query>" \
  --context-file /tmp/ultrathink_context.md \
  --output .context/state/ultrathink/ultrathink_$(date +%Y%m%d_%H%M%S).md