documentation

epicenterhq/epicenter · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/epicenterhq/epicenter --skill documentation
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summary

Follow writing-voice for tone.

skill.md

Documentation

Follow writing-voice for tone.

Documentation explains why, not what. Users can read code to see what it does. They need you to explain the reasoning.

When to Apply This Skill

Use this pattern when you need to:

  • Write or update folder README.md files with architecture intent.
  • Add JSDoc to public APIs with usage context and examples.
  • Review docs/comments that currently restate code without rationale.
  • Add code comments for non-obvious decisions, constraints, or workarounds.

Folder READMEs

Primary job: explain why this folder exists and the mental model.

Can Include

  • ASCII art diagrams for complex relationships
  • Overview of key exports or entry points
  • Brief file descriptions IF they add context beyond the filename
  • Relationships to other folders

Avoid

  • Exhaustive file listings that just duplicate ls
  • Descriptions that repeat the filename ("auth.ts - authentication")
  • Implementation details better expressed in code

Good

# Converters

Transform field schemas into format-specific representations.

```
┌─────────────┐     ┌──────────────┐
│ Field Schema│────▶│  to-arktype  │────▶ Runtime validation
└─────────────┘     ├──────────────┤
                    │  to-drizzle  │────▶ SQLite columns
                    └──────────────┘
```

Field schemas are pure JSON Schema objects with `x-component` hints. Each converter takes the same input and produces output for a specific consumer.

Bad

# Converters

- `to-arktype.ts` - Converts to ArkType
- `to-drizzle.ts` - Converts to Drizzle
- `index.ts` - Exports

The bad example just lists files without explaining the pattern or when to add new converters.

JSDoc Comments

JSDoc explains when and why to use something, not just what it does.

Good

/**
 * Get all table helpers as an array.
 *
 * Useful for providers and indexes that need to iterate over all tables.
 * Returns only the table helpers, excluding utility methods like `clearAll`.
 *
 * @example
 * ```typescript
 * for (const table of tables.defined()) {
 *   console.log(table.name, table.count());
 * }
 * ```
 */
defined() { ... }

Bad

/** Returns all table helpers as an array. */
defined() { ... }

Rules

  • Include @example blocks with realistic usage
  • Explain WHEN to use it, not just WHAT it does
  • Document non-obvious behavior or edge cases
  • Public APIs get detailed docs; internal helpers can be minimal

Code Comments

Comments explain why, not what.

Good

// Y.Doc clientIDs are random 32-bit integers, so we can't rely on ordering.
// Use timestamps from the entries themselves for deterministic sorting.
const sorted = entries.sort((a, b) => a.timestamp - b.timestamp);

Bad

// Sort the entries
const sorted = entries.sort((a, b) => a.timestamp - b.timestamp);

Rules

  • If the code is clear, don't comment it
  • Comment the "why" when it's not obvious
  • Comment workarounds with links to issues/docs
  • Delete commented-out code; that's what git is for
how to use documentation

How to use documentation on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add documentation
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/epicenterhq/epicenter --skill documentation

The skills CLI fetches documentation from GitHub repository epicenterhq/epicenter and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/documentation

Reload or restart Cursor to activate documentation. Access the skill through slash commands (e.g., /documentation) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.735 reviews
  • Li Thomas· Dec 28, 2024

    documentation reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ava Brown· Dec 24, 2024

    documentation has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Shikha Mishra· Dec 4, 2024

    We added documentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Nov 23, 2024

    Useful defaults in documentation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Isabella Bansal· Nov 19, 2024

    Registry listing for documentation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Ama Menon· Nov 15, 2024

    Solid pick for teams standardizing on skills: documentation is focused, and the summary matches what you get after install.

  • Pratham Ware· Oct 14, 2024

    Registry listing for documentation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Li Bansal· Oct 10, 2024

    Useful defaults in documentation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Mateo Abbas· Oct 6, 2024

    documentation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Sep 21, 2024

    Solid pick for teams standardizing on skills: documentation is focused, and the summary matches what you get after install.

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