skills.rest
MinhThang1009
MinhThang1009COMMUNITY
Explore all skills by this author →
GitHub

pipeline-retrospective

Analyze pipeline artifacts across six performance dimensions and write improvement proposals.

15|6|Updated May 7, 2026
Search Tags:#automation#audit#retrospective#plugin#pipeline#improvement#artifact
One-click install
npx skills add https://github.com/MinhThang1009/dotclaude --skill pipeline-retrospective
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pipeline-retrospective
Source: https://github.com/MinhThang1009/dotclaude/tree/main/plugins/subagent-system/skills/pipeline-retrospective
Command: npx skills add https://github.com/MinhThang1009/dotclaude --skill pipeline-retrospective

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams automatically evaluate completed pipeline runs, identify performance gaps, and generate actionable improvement proposals for the plugin itself.

Core Features & Use Cases

  • Read all pipeline artifacts (checkpoints, progress, alerts, reports) from the project root.
  • Assess six performance dimensions (coverage, findings, completion, pipeline health, fix quality, and skill triggering) and produce a structured improvement plan.
  • Write targeted improvement proposals to .claude/improvement-proposals.md and guide next steps for applying changes.

Quick Start

After a pipeline run finishes, invoke the retrospective to generate improvement proposals for the plugin.

Frequently Asked Questions about pipeline-retrospective

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

FAQPage Schema
How do I automate a pipeline retrospective after a run finishes?▼

A pipeline retrospective evaluates completed runs by reading all pipeline artifacts and analyzing six performance dimensions. It generates targeted improvement proposals and writes a structured improvement plan to .claude/improvement-proposals.md for continuous plugin enhancement.

What performance dimensions are assessed during a pipeline audit?▼

A pipeline audit assesses six performance dimensions: coverage, findings, completion, pipeline health, fix quality, and skill triggering. Analyzing these areas identifies performance gaps and produces a structured improvement plan for the plugin and its agents.

Can I generate improvement proposals for pipeline artifacts automatically?▼

Yes, you can generate improvement proposals automatically by evaluating pipeline artifacts like checkpoints, progress, alerts, and reports. The retrospective process analyzes these artifacts and outputs a targeted improvement plan to .claude/improvement-proposals.md.

Where does the pipeline improvement plan get saved?▼

The pipeline improvement plan gets saved to .claude/improvement-proposals.md. This structured output file contains targeted improvement proposals derived from analyzing pipeline artifacts across six performance dimensions to guide next steps for applying changes.

Do I need any dependencies to run a pipeline retrospective evaluation?▼

No dependencies are required to run a pipeline retrospective evaluation. It operates directly on completed pipeline runs by reading project root artifacts to assess coverage, findings, completion, health, fix quality, and skill triggering dimensions.

Related Skills

Explore More Software Engineering Skills→
Alanlee0323Alanlee0323

evaluating-models

Analyze MLflow evaluation artifacts to generate data-driven model performance reports.

Community
Advanced
sky770825sky770825

reflect

Analyze conversational data for corrections and encode learnings into agent definitions.

Community
Advanced
ezagent42ezagent42
1

retro

Analyze milestone execution data to generate structured retrospective recommendations.

Official
Advanced
rezosndrezosnd

excel-generator

Generate styled Excel workbooks with formulas, charts, and data validation.

Community
Intermediate