coding-and-data

Route mixed coding and data tasks to background sessions for repository implementation and technical analysis.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/aimentor606/aether --skill coding-and-data-aimentor606
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coding-and-data
Source: https://github.com/aimentor606/aether/tree/main/core/kortix-master/opencode/skills/GENERAL-KNOWLEDGE-WORKER/coding-and-data
Command: npx skills add https://github.com/aimentor606/aether --skill coding-and-data-aimentor606

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Routing work that mixes coding, repository implementation, SQL/data analysis, or technical investigation into structured background sessions so complex engineering and data tasks are executed with clear context and verifiable outputs.

Core Features & Use Cases

  • Background Session Orchestration: Start background or parallel sessions to run code, explore repos, or perform long-running analyses without blocking the main conversation.
  • Repository and Data Awareness: Ensure sessions receive repo context, PR/issue links, file boundaries, connector names, schema hints, and date ranges before delegating work.
  • Code Review & Investigation Patterns: Run parallel reviewers with distinct goals, synthesize agreements and disagreements, and publish actionable recommendations or PR comments after validation.
  • Post-Completion Validation: Read generated artifacts, summarize verification steps, and present deliverables rather than blindly trusting child session output.

Quick Start

Delegate this task to a background coding session with the repository path, relevant PR or issue links, target files or schemas, and a clear acceptance criteria for the deliverable.

Frequently Asked Questions about coding-and-data

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

FAQPage Schema
How do I run background coding sessions for repository implementation and code review?

Background sessions route mixed coding and data analysis tasks into structured parallel execution environments, preventing long-running repository implementations or SQL queries from blocking your main conversation flow.

What context do I need to provide for SQL data analysis and repo navigation tasks?

You must provide repository context, file boundaries, schema hints, connector names, date ranges, and explicit data source details to ensure background sessions execute technical analysis with clear context and verifiable outputs.

How do I validate code review recommendations from parallel background sessions?

Post-completion validation reads generated artifacts, summarizes verification steps, and synthesizes agreements and disagreements from parallel reviewers to present deliverables rather than blindly trusting child session output.

Can I delegate long-running data analysis and codebase implementation without blocking the main thread?

Yes, you can delegate long-running data analysis and codebase implementation to background or parallel sessions, allowing you to explore repositories and execute complex engineering tasks asynchronously without blocking the main conversation.

What is the best way to orchestrate parallel code reviewers with distinct goals?

Start background sessions with distinct review goals, synthesize their agreements and disagreements, then publish actionable recommendations or PR comments after validating their generated artifacts and verification steps.