Guide · Agent skill
How to use the Code Exemplars Blueprint Generator agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The Code Exemplars Blueprint Generator is an agent skill that gives an AI coding agent a ready-made set of instructions for scanning your project and picking out well-written files, such as a clean service class or a well-structured test. The output is an exemplars.md document that points to those real files, so your team has a written reference for how code should look. This guide explains what the skill does, how to install it, how to trigger it, and what to check before you rely on the result.
Code Exemplars Blueprint Generatorgithub/awesome-copilot · MIT Download the skill Quick start
- 1Download the ZIP. Download the skill ZIP from this page.
- 2Unzip into a skills folder. Unzip it into ~/.claude/skills/ for personal use, or into the project's .claude/skills/ folder for one project.
- 3Or upload in the Claude apps. In the Claude apps, go to Settings → Capabilities → Skills and upload the ZIP.
- 4Choose your settings. Set the technology, scan depth, categorization, snippet and comment options in the configuration variables if the defaults do not suit you.
- 5Ask for the exemplars document. Request a scan of your codebase that produces an exemplars.md file, naming your stack and goal.
- 6Review the file paths. Open the listed files and confirm they exist and are good examples worth copying.
What is an agent skill, and what does this one make the agent do?
An agent skill is a folder containing a SKILL.md file. The file holds instructions that an AI agent can load when a task matches the skill's description. This skill is a prompt template: when an agent uses it, it produces a detailed instruction telling the agent to scan the codebase, identify high-quality files, and write an exemplars.md document that references them.
The generated document is meant to be a team reference. Because it points to existing files, new features can follow established patterns instead of inventing new ones. The skill does not run checks, enforce standards, or change your code.
- Scans the codebase for high-quality, representative files
- Groups examples by pattern type, architecture layer, or file type
- Records each example's file path, what makes it good, and optionally a short snippet and comments
- Adds introduction, table of contents, and conclusion sections to exemplars.md
Install the Code Exemplars Blueprint Generator skill
Download the ZIP for this skill from this page. Then install it using one of the two methods below.
For Claude Code, unzip the download into ~/.claude/skills/ to make it available across your projects, or into a project's .claude/skills/ folder to limit it to that project. In the Claude apps, you can instead upload the ZIP under Settings → Capabilities → Skills.
- Personal install: unzip into ~/.claude/skills/
- Project install: unzip into the project's .claude/skills/ folder
- Claude apps: Settings → Capabilities → Skills, then upload the ZIP
Which settings can you change before running it?
The skill's SKILL.md has configuration variables at the top that control the generated prompt. You can set the primary technology (Auto-detect, .NET, Java, JavaScript, TypeScript, React, Angular, Python, or Other), the scan depth (Basic, Standard, or Comprehensive), whether to include code snippets, the categorization method (Pattern Type, Architecture Layer, or File Type), the maximum examples per category (the template default is 3), and whether to include explanatory comments for each exemplar.
- PROJECT_TYPE: the primary technology to focus on, or Auto-detect
- SCAN_DEPTH: how deeply the codebase is analyzed
- INCLUDE_CODE_SNIPPETS: true or false
- CATEGORIZATION: how exemplars are organized
- MAX_EXAMPLES_PER_CATEGORY: the cap per category
- INCLUDE_COMMENTS: true or false
How do you trigger the skill with a natural request?
Ask the agent in plain language about what you want documented. The skill is written for GitHub Copilot-style workflows and describes its output as an exemplars.md file generated from a scan of your codebase. Name the document and the goal so the agent can match the request to the skill.
Be specific about the technology and purpose. A request that mentions your stack and the team's need for consistency is more likely to produce a useful result than a vague one.
- "Scan this codebase and generate an exemplars.md of our coding standards."
- "Focus on our TypeScript and React code and write exemplars for new feature work."
- "Create a Java exemplars guide with unit test examples, one per category, no snippets."
What should you check in the output?
Every file path in exemplars.md should exist in your repository. The prompt asks the agent to reference only real files and to verify paths, but you should still open a few of the listed files and confirm they are good examples. Remove any entry that is weak, outdated, or does not match what you want the team to copy.
The quality of the result depends on the code. If the project has little existing code, or the existing code is inconsistent, the output will be weak or generic.
- Open several listed files and confirm the paths are correct
- Remove examples that reflect old or poor practice
- Read the conclusion and adjust recommendations to match your team's real standards
Safety notes: scripts and network access
This skill does not run scripts and does not use the network, according to its listing. It is a set of instructions that an agent reads and follows. It still lets the agent read your project files, so only use it on code you are comfortable having the agent read, and review the generated document before sharing it.
- Runs scripts: no
- Uses network: no
- Only documents examples; it does not run tests, linters, or fixes
What people use it for
- Writing a team guide to coding standards from an existing codebase
- Onboarding a new engineer with examples of established service, controller, or test patterns
- Preparing consistency guidelines before a large feature push
- Documenting frontend component and form-handling conventions for a React or Angular app
Frequently asked questions
Is the Code Exemplars Blueprint Generator free to use?
The skill is published under the MIT licence, as stated on this page. Check the licence file in the source repository for the full terms. This page does not list prices for any agent product you use with it.
How do I install the code-exemplars-blueprint-generator skill?
Download the ZIP from this page and unzip it into ~/.claude/skills/ for personal use or into a project's .claude/skills/ folder. In the Claude apps, you can upload the ZIP under Settings → Capabilities → Skills.
What do I need to run this skill?
You need an AI coding agent that can read your project files. The skill is written for GitHub Copilot-style workflows. It does not run scripts and does not use the network.
Does the skill fix code or enforce coding standards?
No. It produces an exemplars.md document that points to good existing files. It does not run checks, enforce standards, or modify code.
Which languages does it support?
The skill lists .NET, Java, JavaScript, TypeScript, React, Angular, and Python, plus an Auto-detect option and an Other option in its configuration.
What should I use instead if my project has little existing code?
The skill's own description says it works best on codebases with enough existing code to show good patterns, since otherwise the output is weak or generic. In that case, write the standards guide by hand or wait until more representative code exists.
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Our verdict
Use this skill if your team wants a written guide to its own coding standards, or if you are onboarding onto an existing codebase and need real examples of established patterns. Skip it if your project has little existing code, or if you need a tool that enforces standards, runs checks, or fixes code, because this skill only documents examples.
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