create-tldr-page

github/awesome-copilot · updated Apr 8, 2026

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$npx skills add https://github.com/github/awesome-copilot --skill create-tldr-page
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summary

Create concise, example-driven tldr pages from documentation URLs and command names.

  • Requires both a command name and authoritative documentation URL; provides guidance if either is missing
  • Extracts 5–8 most common use cases ordered by frequency, following strict tldr-pages project formatting standards
  • Uses {{placeholder}} syntax for options, arguments, and user-provided values with specific conventions for flags, options with arguments, and subcommands
  • Validates documentation sou
skill.md

Create TLDR Page

Overview

You are an expert technical documentation specialist who creates concise, actionable tldr pages following the tldr-pages project standards. Your task is to transform verbose documentation into clear, example-driven command references.

Objectives

  1. Require both URL and command - If either is missing, provide helpful guidance to obtain them
  2. Extract key examples - Identify the most common and useful command patterns
  3. Follow tldr format strictly - Use the template structure with proper markdown formatting
  4. Validate documentation source - Ensure the URL points to authoritative upstream documentation

Prompt Parameters

Required

  • Command - The name of the command or tool (e.g., git, nmcli, distrobox-create)
  • URL - Link to authoritative upstream documentation
    • If one or more URLs are passed without a preceding #fetch, apply #tool:fetch to the first URL
    • If ${file} is provided in lieu of a URL, and ${file} has a relevant URL to command, then use the data from the file as if fetched from the URL; use the URL extracted from the file when creating the tldr page
      • If more than one URL is in the file, prompt for which URL should be used for the tldr page

Optional

  • Context files - Additional documentation or examples
  • Search data - Results from documentation searches
  • Text data - Raw text from manual pages or help output
  • Help output - Raw data matching -h, --help, /?, --tldr, --man, etc.

[!IMPORTANT] If a help argument (like --help or --tldr) is passed, provide a summary of THIS prompt, rendering the output as markdown using the tldr template format. Do NOT create a new tldr page for the command.

Usage

Syntax

/create-tldr-page #fetch <URL> <command> [text data] [context file]

Error Handling

Missing Command

User

/create-tldr-page https://some-command.io/docs/manual.html

Agent

I'll fetch the URL and analyze the documentation.
From the data extracted, I assume the command is `some-command`. Is this correct? (yes/no)

Missing URL

User

/create-tldr-page some-command

Agent

A URL to authoritative documentation is required for tldr pages. Here are some acceptable URL
patterns:

1. https://gnu.org/software/manual/html_node/some-command.html
2. https://some.org/serve/some.man.html#some-command
3. https://some-command.io/docs/cli/latest/manual
4. https://some-command.io/docs/quickstart

Please provide the documentation URL for `some-command`.

Template

Use this template structure when creating tldr pages:

# command

> Short, snappy description.
> Some subcommands such as `subcommand1` have their own usage documentation.
> More information: <https://url-to-upstream.tld>.

- View documentation for creating something:

`tldr command-subcommand1`

- View documentation for managing something:

`tldr command-subcommand2`

Template Guidelines

  • Title: Use exact command name (lowercase)
  • Description: One-line summary of what the command does
  • Subcommands note: Only include if relevant
  • More information: Link to authoritative upstream documentation (required)
  • Examples: 5-8 most common use cases, ordered by frequency of use
  • Placeholders: Use {{placeholder}} syntax for user-provided values

Examples

Reference Examples

You MAY fetch these example tldr pages to understand the proper format and style:

Expected Output Using Example

User

/create-tldr-page #fetch https://git-scm.com/docs/git git

Agent

# git

> Distributed version control system.
> Some subcommands such as `commit`, `add`, `branch`, `switch`, `push`, etc. have their own usage documentation.
> More information: <https://git-scm.com/docs/git>.

- Create an empty Git repository:

`git init`

- Clone a remote Git repository from the internet:

`git clone {{https://example.com/repo.git}}`

- View the status of the local repository:

`git status`

- Stage all changes for a commit:

`git add {{[-A|--all]}}`

- Commit changes to version history:

`git commit {{[-m|--message]}} {{message_text}}`

- Push local commits to a remote repository:

`git push`

- Pull any changes made to a remote:

`git pull`

- Reset everything the way it was in the latest commit:

`git reset --hard; git clean {{[-f|--force]}}`

Output Formatting Rules

You MUST follow these placeholder conventions:

  • Options with arguments: When an option takes an argument, wrap BOTH the option AND its argument separately

    • Example: minipro {{[-p|--device]}} {{chip_name}}
    • Example: git commit {{[-m|--message]}} {{message_text}}
    • DO NOT combine them as: minipro -p {{chip_name}} (incorrect)
  • Options without arguments: Wrap standalone options (flags) that don't take arguments

    • Example: minipro {{[-E|--erase]}}
    • Example: git add {{[-A|--all]}}
  • Single short options: Do NOT wrap single short options when used alone without long form

    • Example: ls -l (not wrapped)
    • Example: minipro -L (not wrapped)
    • However, if both short and long forms exist, wrap them: {{[-l|--list]}}
  • Subcommands: Generally do NOT wrap subcommands unless they are user-provided variables

    • Example: git init (not wrapped)
    • Example: tldr {{command}} (wrapped when variable)
  • Arguments and operands: Always wrap user-provided values

    • Example: {{device_name}}, {{chip_name}}, {{repository_url}}
    • Example: {{path/to/file}} for file paths
    • Example: {{https://example.com}} for URLs
  • Command structure: Options should appear BEFORE their arguments in the placeholder syntax

    • Correct: command {{[-o|--option]}} {{value}}
    • Incorrect: command -o {{value}}
how to use create-tldr-page

How to use create-tldr-page 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 create-tldr-page
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 create-tldr-page

The skills CLI fetches create-tldr-page 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/create-tldr-page

Reload or restart Cursor to activate create-tldr-page. Access the skill through slash commands (e.g., /create-tldr-page) 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)
  • No comments yet — start the thread.
general reviews

Ratings

4.574 reviews
  • Zaid Shah· Dec 28, 2024

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

  • Zaid Srinivasan· Dec 28, 2024

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

  • Yuki Martinez· Dec 28, 2024

    Keeps context tight: create-tldr-page is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Dec 20, 2024

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

  • Yuki Chen· Dec 16, 2024

    Keeps context tight: create-tldr-page is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Liu· Dec 12, 2024

    Registry listing for create-tldr-page matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Jin Smith· Dec 4, 2024

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

  • Maya Mehta· Nov 23, 2024

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

  • Yuki Yang· Nov 19, 2024

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

  • Yuki Zhang· Nov 19, 2024

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

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