roadmap-sync

Reconcile benchmark truth and publication strategy into a next-phase roadmap.

Updated Jun 17, 2025
One-click install
npx skills add https://github.com/necatiincekara/Quanvolutional-Neural-Network --skill roadmap-sync
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: roadmap-sync
Source: https://github.com/necatiincekara/Quanvolutional-Neural-Network/tree/main/.agents/skills/roadmap-sync
Command: npx skills add https://github.com/necatiincekara/Quanvolutional-Neural-Network --skill roadmap-sync

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reconciles benchmark truth, publication strategy, and compute constraints into a concrete next-phase study roadmap for quantum-classical research programs.

Core Features & Use Cases

  • Reconcile evidence: Merge benchmark truth, publication strategy, and compute constraints into a coherent plan.
  • Roadmap generation: Produce near-term and broader research tracks with task order, platform/compute choices, and stop conditions.
  • Workflow grounding: Interface with AGENTS.md and docs/* artifacts to ground the roadmap in current materials.

Quick Start

Summarize the current benchmark truth and generate a concrete next-phase roadmap for publication and experiments.

Frequently Asked Questions about roadmap-sync

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert benchmark evidence into a research roadmap for publication?

To convert benchmark evidence into a research roadmap, you reconcile benchmark truth and publication strategy into a concrete next-phase plan. This process merges experimental benchmarks with compute constraints to generate near-term research tracks and publication routes.

What is the best way to plan quantum-classical research experiments using benchmark data?

Planning quantum-classical research experiments involves reading benchmark matrices and publication strategies to produce a coherent study roadmap. This approach aligns experimental tasks with platform choices and predefined stop conditions to guide future compute workflows.

How do I align publication strategy with benchmark results for future research planning?

Aligning publication strategy with benchmark results requires merging truth data from benchmark summaries with publication documents. This reconciliation generates a concrete roadmap outlining task order, publication routes, and compute constraints for upcoming research phases.

Can I generate a research roadmap from markdown documentation files?

Yes, you can generate a research roadmap by reading markdown documentation files such as publication strategies and benchmark matrices. The system interfaces with these docs to ground the generated roadmap in current experimental evidence and publication plans.

Does this roadmap generation method support multi-workflow benchmark strategists?

Yes, when the roadmap spans multiple workflows, the process spawns a benchmark strategist to handle the complexity. This ensures the generated research plan accurately reconciles diverse benchmark truths and publication strategies across different experimental workflows.

When do I need to reconcile compute constraints with a research roadmap?

You need to reconcile compute constraints with a research roadmap when planning near-term experiments and publication routes for quantum-classical projects. This ensures the generated roadmap remains feasible within available platform limitations and predefined stop conditions.