millitool
engineering/

output-format-templates

// Use Notion API to create onboarding page

outputformattemplates
Content Preview
# codebase-onboarding reference

## Output Formats

### Notion Export

```javascript
// Use Notion API to create onboarding page
const { Client } = require('@notionhq/client')
const notion = new Client({ auth: process.env.NOTION_TOKEN })

const blocks = markdownToNotionBlocks(onboardingMarkdown) // use notion-to-md
await notion.pages.create({
  parent: { page_id: ONBOARDING_PARENT_PAGE_ID },
  properties: { title: { title: [{ text: { content: 'Engineer Onboarding — MyApp' } }] } },
  children: b
How to Use

Recommended: Install to project (local)

mkdir -p .claude/skills
curl -o .claude/skills/output-format-templates.md \
  https://raw.githubusercontent.com/alirezarezvani/claude-skills/main/engineering/codebase-onboarding/references/output-format-templates.md

Skill is scoped to this project only. Add .claude/skills/ to your .gitignoreif you don't want to commit it.

Alternative: Clone full repo

git clone https://github.com/alirezarezvani/claude-skills

Then reference at engineering/codebase-onboarding/references/output-format-templates.md

Related Skills

Conducting Chaos Engineering
This skill enables Claude to design and execute chaos engineering experiments to test system resilience. It is used when the user requests help with failure injection, latency simulation, resource exhaustion testing, or resilience validation. The skill is triggered by discussions of chaos experiment
skill-adapterconducting chaos engineering

by jeremylongshore · plugins-plus-skills

Engineering Features for Machine Learning
This skill empowers Claude to perform feature engineering tasks for machine learning. It creates, selects, and transforms features to improve model performance. Use this skill when the user requests feature creation, feature selection, feature transformation, or any request that involves improving t
skill-adapterengineering features for machine learning

by jeremylongshore · plugins-plus-skills

engineering_metrics
Engineering Metrics & KPIs Guide
c-level-advisorengineeringmetrics

by alirezarezvani · alirezarezvani-claude-skills

engineering-features-for-machine-learning
Execute create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "select features". Trigger with relevant phrases based on skill purpose.
engineering-features-for-machine-learningengineeringfeaturesfor

by jeremylongshore · plugins-plus-skills