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monkeypants
monkeypantsCOMMUNITY
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review

Collect evidence from artifacts and interviews to generate review documents and GitHub issues.

1|Updated Feb 12, 2026
Search Tags:#feedback#post-mortem#github issues#review#improvement#consulting
One-click install
npx skills add https://github.com/monkeypants/consultamatron --skill review-monkeypants
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/monkeypants/consultamatron/tree/main/commons/consulting/skills/review
Command: npx skills add https://github.com/monkeypants/consultamatron --skill review-monkeypants

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of reviewing completed consulting projects, identifying areas for improvement, and translating those insights into actionable GitHub issues.

Core Features & Use Cases

  • Evidence Collection: Gathers data from project artifacts and consultant interviews.
  • Insight Generation: Produces private review documents and sanitizes findings for public reporting.
  • Actionable Output: Creates GitHub issues with specific recommendations for skill enhancement.
  • Use Case: After a Wardley Mapping project concludes, this Skill will interview the consultant, compile a report on what worked and what didn't, and then create a GitHub issue to improve the wm-chain skill based on the feedback.

Quick Start

Use the review skill to start a post-implementation review for the project 'customer-segmentation-project'.

Frequently Asked Questions about review

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

FAQPage Schema
How do I conduct a post-mortem review for a completed consulting project?▼

Post-implementation reviews gather evidence from workspace artifacts and consultant interviews to evaluate consulting projects. The process generates private review documents, sanitizes findings, and raises GitHub issues with specific improvement recommendations.

How do I automate creating GitHub issues from project feedback?▼

Automating GitHub issue creation from project feedback involves sanitizing review findings and raising improvement recommendations directly on the monkeypants/consultamatron repository. This translates post-project insights into actionable development tasks.

What is the best way to collect evidence and feedback after a consulting engagement?▼

Collecting evidence and feedback after consulting involves gathering data from project artifacts and conducting consultant interviews. This evidence is compiled into private review documents to identify what worked and what didn't during the engagement.

Can I use this post-project review process for Wardley Mapping and Business Model Canvas skillsets?▼

Yes, the post-project review process supports iterative refinement and terminal gate completion specifically for Wardley Mapping and Business Model Canvas skillsets. It evaluates completed consulting engagements within these frameworks.

Does the post-mortem process keep client data confidential when raising GitHub issues?▼

The post-mortem process keeps client data confidential by sanitizing findings before public reporting. It generates private review documents first, then sanitizes the data to safely create public GitHub issues.

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