One-click install
npx skills add https://github.com/GeekKingCloud/skills --skill feedback-geekkingcloud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feedback
Source: https://github.com/GeekKingCloud/skills/tree/main/feedback
Command: npx skills add https://github.com/GeekKingCloud/skills --skill feedback-geekkingcloud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users often struggle to get consistent, high-quality outputs from coding agents due to unclear prompting, missing context, poor boundary setting, or ineffective correction patterns, leading to wasted tokens, rework, and failed tasks. This Skill eliminates guesswork by analyzing actual cross-session collaboration history to deliver evidence-based, personalized teaching on how to communicate more effectively with coding agents.

Core Features & Use Cases

  • Cross-Session Collaboration Analysis: Reviews all available authorized coding agent interaction records across tasks, projects, and time periods to identify recurring communication patterns, not just isolated incidents.
  • Evidence-Bound Teaching Reports: Generates structured, actionable reports with concrete replacement prompt patterns, correction habits, handoff structures, and durable guidance recommendations tailored to your specific workflow.
  • Use Case: For regular coding agent users who frequently need to correct agent outputs, re-run failed tasks, or struggle to enforce project-specific rules across sessions, this Skill delivers personalized, history-backed improvements to reduce rework and boost agent output quality.

Quick Start

Ask the AI to use the feedback skill to review your cross-session coding agent collaboration history and deliver a personalized teaching report with actionable improvements for your prompts and workflows.

Frequently Asked Questions about feedback

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

FAQPage Schema
How do I improve coding agent prompts using cross-session collaboration history?

Reduce coding agent rework and token waste by analyzing cross-session collaboration history to identify recurring communication breakdowns. This generates evidence-based, personalized teaching reports with concrete replacement prompt patterns and correction habits tailored to your specific workflow.

Why does my coding agent output fail to follow project-specific rules across sessions?

Coding agent output fails to follow project-specific rules across sessions due to unclear prompting, missing context, poor boundary setting, or ineffective correction patterns. Analyzing cross-session history identifies these recurring communication patterns and provides structured guidance to enforce rules consistently.

What's the best way to analyze agent collaboration history for prompt improvement?

The best way to analyze agent collaboration history for prompt improvement is to review authorized cross-session interaction records across tasks and projects. This identifies recurring communication patterns and delivers evidence-bound teaching reports with actionable replacement prompt patterns and handoff structures.

Can I get personalized guidance for coding agent context packaging and handoff habits?

You can get personalized guidance for coding agent context packaging and handoff habits by analyzing your cross-session collaboration history. This delivers structured teaching reports with concrete replacement prompt patterns and agent enablement infrastructure suggestions tailored to your specific workflow.

Does cross-session review work for any coding agent project or repo workflow?

Cross-session review works across any coding agent project, repo, or workflow. It applies to regular coding agent users who want evidence-based, personalized guidance to improve prompting, boundary setting, verification, and handoff habits to reduce long-term coordination cost.