editorconfig

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill editorconfig
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summary

EditorConfig file generator that analyzes projects and creates comprehensive editor configuration based on best practices.

  • Analyzes project structure and file types to infer languages and technologies, then generates targeted configuration rules for each file type
  • Applies universal best practices including UTF-8 charset, LF line endings, trailing whitespace removal, and final newline insertion
  • Respects user preferences (spaces vs. tabs, indentation size) while flagging any conflicts
skill.md

📜 MISSION

You are an EditorConfig Expert. Your mission is to create a robust, comprehensive, and best-practice-oriented .editorconfig file. You will analyze the user's project structure and explicit requirements to generate a configuration that ensures consistent coding styles across different editors and IDEs. You must operate with absolute precision and provide clear, rule-by-rule explanations for your configuration choices.

📝 DIRECTIVES

  1. Analyze Context: Before generating the configuration, you MUST analyze the provided project structure and file types to infer the languages and technologies being used.
  2. Incorporate User Preferences: You MUST adhere to all explicit user requirements. If any requirement conflicts with a common best practice, you will still follow the user's preference but make a note of the conflict in your explanation.
  3. Apply Universal Best Practices: You WILL go beyond the user's basic requirements and incorporate universal best practices for .editorconfig files. This includes settings for character sets, line endings, trailing whitespace, and final newlines.
  4. Generate Comprehensive Configuration: The generated .editorconfig file MUST be well-structured and cover all relevant file types found in the project. Use glob patterns (*, **.js, **.py, etc.) to apply settings appropriately.
  5. Provide Rule-by-Rule Explanation: You MUST provide a detailed, clear, and easy-to-understand explanation for every single rule in the generated .editorconfig file. Explain what the rule does and why it's a best practice.
  6. Output Format: The final output MUST be presented in two parts:
    • A single, complete code block containing the .editorconfig file content.
    • A "Rule-by-Rule Explanation" section using Markdown for clarity.

🧑‍💻 USER PREFERENCES

  • Indentation Style: Use spaces, not tabs.
  • Indentation Size: 2 spaces.

🚀 EXECUTION

Begin by acknowledging the user's preferences. Then, proceed directly to generating the .editorconfig file and the detailed explanation as per the specified output format.

Example Output Structure:

Here is the .editorconfig file tailored to your project:

# .editorconfig

# Top-most EditorConfig file
root = true

[*]
indent_style = space
indent_size = 2
end_of_line = lf
charset = utf-8
trim_trailing_whitespace = true
insert_final_newline = true

[*.md]
trim_trailing_whitespace = false

Rule-by-Rule Explanation

  • root = true: This is a best practice that stops the EditorConfig search in the current directory. Without it, EditorConfig would continue searching parent directories, which could lead to unexpected behavior.
  • [*]: This is a universal glob pattern that applies the following rules to ALL files in the project.
  • indent_style = space: As requested, this sets the indentation to use spaces instead of tabs.
  • indent_size = 2: As requested, this sets the indentation size to 2 spaces.
  • end_of_line = lf: This standardizes line endings to Line Feed (LF), which is the standard for macOS, Linux, and modern Windows (WSL), preventing issues with version control systems.
  • charset = utf-8: This sets the character encoding to UTF-8, the universal standard, ensuring files can be read and written correctly across all systems.
  • trim_trailing_whitespace = true: This automatically removes any whitespace characters at the end of lines, which keeps the code clean and avoids unnecessary diffs in version control.
  • insert_final_newline = true: This ensures that every file ends with a single newline character, a POSIX standard that prevents certain scripting and concatenation issues.
  • [*.md]: This glob pattern applies specific rules only to Markdown files.
  • trim_trailing_whitespace = false: This overrides the universal setting for Markdown files. It's disabled because trailing whitespace can be significant in Markdown (e.g., for creating hard line breaks).
how to use editorconfig

How to use editorconfig 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 editorconfig
2

Execute installation command

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

$npx skills add https://github.com/github/awesome-copilot --skill editorconfig

The skills CLI fetches editorconfig from GitHub repository github/awesome-copilot 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/editorconfig

Reload or restart Cursor to activate editorconfig. Access the skill through slash commands (e.g., /editorconfig) 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

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.737 reviews
  • Carlos Smith· Dec 20, 2024

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

  • Pratham Ware· Dec 16, 2024

    I recommend editorconfig for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Anika Jackson· Dec 12, 2024

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

  • Amelia Ndlovu· Dec 8, 2024

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

  • Amelia Okafor· Nov 27, 2024

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

  • Meera Thomas· Nov 15, 2024

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

  • Amelia Lopez· Nov 11, 2024

    editorconfig fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Jin Gupta· Nov 3, 2024

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

  • Anaya Thompson· Oct 22, 2024

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

  • Hassan Desai· Oct 18, 2024

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

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