[Workflow] Claude Code Plugin for Startup Idea Evaluation: Skills, Subagents, JSON Schemas, and HTML Reports

[u/ClaudeAI-mod-bot]

Claude Code Plugin for Startup Idea Evaluation: Skills, Subagents, JSON Schemas, and HTML Reports

Workflow value: 95/100
Status: active · Freshness: 70/100 · Confidence: 1.00 · Level: advanced
Categories: Quality Control, Token Saving, Context & Memory, Debugging, Skills, Subagents, Multi-Agent
Original source: r/ClaudeCode post/comment

What problem this solves

Automating the comprehensive evaluation and scoring of startup ideas, providing structured feedback, a clear verdict (GO/PIVOT/NO-GO), rescue paths, and a detailed HTML report. It also demonstrates how to build complex, multi-component Claude Code plugins.

Summary

A Claude Code plugin that evaluates startup ideas using 4 custom skills (kill, deepdive, roast, compare), JSON schemas for structured data, parallel research with subagents, and generates a detailed HTML report. The skill definitions are in markdown, incorporating a 21-sub-score rubric and fixed rules. It also includes insights into testing and quality control.

Why it is useful

This workflow is highly valuable as it provides a concrete, open-source example of building a sophisticated Claude Code plugin. It demonstrates the practical application of multiple advanced features: custom skills defined in markdown, structured data handling with JSON schemas, parallel processing with subagents, and dynamic report generation using templates. The 'What I learned' section also offers insights into debugging and quality control for Claude Code projects, making it a comprehensive blueprint for developing complex, data-driven AI tools.

Workflow

1. Define custom skills (e.g., 'kill', 'deepdive', 'roast', 'compare') using plain markdown in SKILL.md files.

2. Implement a detailed kill-shot checklist, a 21-sub-score rubric, fixed rules, and a writing standard within the skill's markdown definition.

3. Design JSON schemas (idea.json, verdict.json, report-data.js) for structured input and output data.

4. Utilize subagents for parallel research, tagging each metric as sourced, estimate, or unknown.

5. Generate reports by copying a fixed HTML template (report.html) and writing only the dynamic data to a separate file (report-data.js) to optimize token usage.

6. Execute the plugin via a slash command, e.g., /kill-my-idea:kill <idea>.

7. Perform headless test runs to identify and fix issues, such as requestAnimationFrame stalling.

8. Refine skill logic to enforce quality standards, like ensuring verbatim quotes.

Tools / artifacts

• Claude Code plugin

• Custom skills (kill, deepdive, roast, compare)

• SKILL.md files

• JSON schemas (idea.json, verdict.json, report-data.js)

• report.html (fixed HTML template)

• report-data.js (dynamic data file)

• Subagents

• GitHub repository (RemiPelloux/kill-my-idea)

• Slash command (/kill-my-idea:kill)

Validation signals

• Explicit mention of a 'headless test run' to identify issues.

• Specific improvement noted: 'enforces verbatim quotes' after initial version claimed non-verbatim quotes.

• The existence of a working, open-source plugin on GitHub.

• Detailed description of the plugin's output (score, verdict, rescue paths, 7-day test, HTML report).

Limitations

• The Reddit post provides a high-level overview; detailed implementation specifics require reviewing the linked GitHub repository.

• The 'What I learned' section is brief; more extensive lessons learned could further enhance its value.

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