How do I install the Synthetic Parallel Reasoning skill?

Run npx skillmds@latest add tomevault-io/synthetic-parallel-reasoning in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Synthetic Parallel Reasoning safe to use?

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Is Synthetic Parallel Reasoning free to use?

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Who published Synthetic Parallel Reasoning?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Synthetic Parallel Reasoning by tomevault-io

Name: Synthetic Parallel Reasoning
Author: tomevault-io

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.

tomevault-io Updated Sep 17, 2026

File contents

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

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 — distributed by TomeVault.

---name: synthetic-parallel-reasoningdescription: 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.---# 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```bashpython3 .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).

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