forge-orchestrating

Analyze the latest executor session and generate actionable feedback for the next agent.

Updated Feb 9, 2026
One-click install
npx skills add https://github.com/ZhiHanZ/forge --skill forge-orchestrating
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forge-orchestrating
Source: https://github.com/ZhiHanZ/forge/tree/main/skills/forge-orchestrating
Command: npx skills add https://github.com/ZhiHanZ/forge --skill forge-orchestrating

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-session reviews in autonomous coding loops are time-consuming and vary in quality. This skill provides a structured review workflow that analyzes the executor's results and context to generate consistent, actionable guidance for the next agent.

Core Features & Use Cases

  • Phase-based orientation and assessment that evaluates what happened in the last session.
  • Curates patterns, gotchas, and decisions from the session to accelerate future work.
  • Writes targeted feedback with context pointers for the next agent to act on.

Quick Start

Review the latest executor session and generate concise, actionable feedback for the next agent.

Frequently Asked Questions about forge-orchestrating

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

FAQPage Schema
How do I generate actionable feedback for the next agent after an autonomous coding session?

Post-session feedback for the next agent is generated by analyzing the latest executor session's diffs and context notes, aggregating patterns, gotchas, and decisions into targeted guidance with context pointers.

What is the best way to conduct a post-session review for autonomous coding loops?

A post-session review for autonomous coding loops applies structured phase-based orientation to evaluate the executor's results, enforcing criteria across readability, proof, style, and boundaries to produce consistent guidance.

Can I use diff-analysis to extract coding patterns and gotchas from a recent executor session?

Yes, diff-analysis is applied during the post-session review to curate coding patterns, gotchas, and decisions from the recent executor session, accelerating future work for subsequent agents.

How do I include evaluation criteria for readability and style in an automated code review?

Automated code review evaluation criteria for readability and style are enforced during the post-session analysis, assessing the executor's output boundaries and generating targeted feedback suitable for context inclusion.

Does post-session feedback for autonomous agents require manual context note preparation?

Post-session feedback for autonomous agents requires no manual context note preparation; the process analyzes existing executor session results and context automatically to write actionable guidance with context pointers for the next agent.