# Synthetic Parallel Reasoning

> 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.

- Skill: `tomevault-io/synthetic-parallel-reasoning` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/synthetic-parallel-reasoning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/synthetic-parallel-reasoning/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Integrations & APIs
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/synthetic-parallel-reasoning

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# 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)

1. **Phase 1 (Prime)**: Run semantic search, build internal CoT hypothesis, write context file.
2. **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)
3. **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

```bash
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
```

## Reference Paths

- `.agent/workflows/ultrathink.md` (v4.0)
- `.agent/scripts/parallel_orchestrator.py` (v4.0)
- `Athena-Public/examples/protocols/decision/75-synthetic-parallel-reasoning.md`

---
> Source: [winstonkoh87/Athena-Public](https://github.com/winstonkoh87/Athena-Public) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-07-05 -->