superimplement

Execute and validate superRA task trees through implementation and reproducibility verification.

8|2|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/FuZhiyu/superRA --skill superimplement
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: superimplement
Source: https://github.com/FuZhiyu/superRA/tree/main/skills/superimplement
Command: npx skills add https://github.com/FuZhiyu/superRA --skill superimplement

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill brings disciplined implementation and validation to superRA task trees, preventing incomplete work, weak reviews, and unreproducible results.

Core Features & Use Cases

  • Task Execution: Computes the implementation frontier and dispatches implementer-reviewer pairs for approved prerequisite tasks.
  • Review and Recovery: Handles blocked tasks, missing context, revise states, reviewer feedback, and iterative corrections.
  • Validation and Completion: Verifies commits, recorded results, pipeline reproducibility, and deferred review items before presenting integration or disposition options.
  • Use Case: Use this Skill to resume a partially completed research project, implement its frontier tasks, review each result, and verify the full pipeline before integration.

Quick Start

Use the superimplement skill to execute the current superRA task tree, review the implementation work, and verify reproducibility before presenting completion options.

Frequently Asked Questions about superimplement

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

FAQPage Schema
How do I validate reproducibility for a research task tree before integration?

To validate research task tree reproducibility, execute implementation and reviewer dispatch logic to verify commits, recorded results, and pipeline outputs before presenting integration or disposition options. This process ensures all frontier tasks meet reproducibility verification standards.

What is implementer-reviewer dispatch in agent orchestration for research workflows?

Implementer-reviewer dispatch in agent orchestration assigns implementation and review roles to compute the research task tree frontier, handling approved prerequisite tasks, blocked states, and iterative corrections to maintain disciplined workflow validation.

How do I resume a partially completed research project with mixed task statuses?

Resume a partially completed research project by reloading the tracked superRA task tree with clean state, handling revise states and missing context, then dispatching implementer-reviewer pairs for remaining frontier tasks to continue execution and validation.

Do I need a valid tracked superRA task tree to execute research task validation?

Yes, research task validation requires a valid tracked superRA task tree, the superRA orchestration and domain skills, clean task-tree state, committed results, and verified pipeline outputs to properly execute frontier tasks and verify reproducibility before integration.

What's the best way to handle blocked tasks and revise states in research workflows?

Handle blocked tasks and revise states by processing reviewer feedback iteratively, recovering missing context, and applying corrections through the implementer-reviewer dispatch mechanism until the task tree frontier tasks pass validation and reproducibility verification for completion disposition.

Why does my research pipeline fail reproducibility verification after task implementation?

Research pipeline reproducibility verification fails when committed results, task-tree state, or pipeline outputs lack proper validation, requiring implementer-reviewer dispatch to process revise states, verify commits, and resolve deferred review items before presenting completion disposition options.