菜单
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.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/winstonkoh87/Athena-Public --skill synthetic-parallel-reasoning命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
Unified business model evaluator, client filter, pricing engine, and distribution architect. Absorbs 31 business + 8 marketing + 13 content + 2 acquisition protocols.
Unified codebase manipulation, AI deployment, data analysis, and academic delivery engine. Absorbs 6 coding protocols + data-analysis + academic-delivery + spec-driven-dev.
Unified mathematical arbitrator for all resource allocation decisions — money, time, energy, relationships. Absorbs 46 decision protocols + 24 strategy protocols into one dense engine.
| name | synthetic-parallel-reasoning |
| 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. |
| argument-hint | evaluate <complex-problem> |
| allowed-tools | ["Bash","Read"] |
| auto-invoke | false |
| model | default |
| context_trigger | difficult problem, complex analysis, ultrathink, parallel reasoning, Einstein protocol, multi-perspective, deep evaluation |
Deploys true parallel reasoning via parallel_orchestrator.py to evaluate a strategic bottleneck. Refuses single-shot answers to complex problems.
"difficult problem", "what's the best strategy", "how should I handle this", "analyze this", /ultrathink
parallel_orchestrator.py — this dispatches 4 parallel Gemini API calls:
[!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).
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
.agent/workflows/ultrathink.md (v4.0).agent/scripts/parallel_orchestrator.py (v4.0)Athena-Public/examples/protocols/decision/75-synthetic-parallel-reasoning.md