Best use case
Retrospective Report Generator Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
## Purpose
Teams using Retrospective Report Generator Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cfn-retrospective-report/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Retrospective Report Generator Skill Compares
| Feature / Agent | Retrospective Report Generator Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
## Purpose
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Retrospective Report Generator Skill ## Purpose Generate comprehensive, human-readable retrospective reports from sprint data. ## Key Features - Transform JSON data into markdown - Highlight key metrics and insights - Provide structured, readable format - Enable historical documentation ## Report Components - Sprint Overview - Velocity Metrics - Confidence Trajectory - Agent Performance - Bottlenecks and Challenges - Successful Strategies - Lessons Learned - Recommendations ## Output Targets - Markdown documentation - HTML reports (optional) - Plain text summaries ## Formatting Guidelines - Consistent, professional layout - Use of markdown formatting - Emphasis on readability - Include visual cues (emojis, formatting)
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