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- README Generator — Audience + Quick Start
README Generator — Audience + Quick Start
Generate a skimmable README from real project manifests: audience sections, honest status, install/run commands, config table. Evidence-first — no placeholder filler or invented badges.
$5
Works with the AI tools you already use
README Generator — Audience + Quick Start
Example session with this skill installed
project_name: LedgerLite
one_liner: A small CLI that summarises CSV bank exports into monthly category totals.
audience: developers
manifests_or_excerpts:
package.json scripts: { "start": "node bin/ledgerlite.js", "test": "node --test" }
engines: node >= 18
.env.example: LEDGER_CURRENCY=USD
primary_commands: npm install; npm start -- --file ./export.csv
status: beta
license: MIT
repo_layout: src/, bin/ledgerlite.js, examples/
output_depth: standard
- Read your context and instructions
- Compiled the readme generator
- Generated the data export
LedgerLite
A small CLI that summarises CSV bank exports into monthly category totals.
Status: beta · Audience: developers · License: MIT
Why this exists
Bank CSV exports are hard to skim. LedgerLite turns a single export file into monthly category totals so you can spot spend patterns without a spreadsheet.
Features
- Summarise CSV exports by month and category
- CLI entry via
bin/ledgerlite.js - Configurable default currency via env
Quick start
Prerequisites
- Node.js 18+
Install
npm install
Run
npm start -- --file ./export.csv
Usage
npm start -- --file ./export.csv
npm test
Configuration
| Variable / setting | Purpose | Required |
|---|---|---|
| LEDGER_CURRENCY | Default currency label in summaries | no |
Project layout
bin/ledgerlite.js— CLI entrysrc/— parsing and aggregationexamples/— sample CSV inputs
License
MIT
Caveat
This README was drafted from supplied project materials. Verify commands, versions, and claims with a human owner before publishing.
readme-generator-audience-quick-start.csv
CSV · data export
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Your project README is often the difference between a user installing your tool or bouncing to a competitor. Most AI-generated documentation is full of fluff, hallucinated badges, and generic "TODO" placeholders that make your repo look abandoned. This skill eliminates the noise by architecting decision-useful READMEs grounded strictly in your actual manifests and project facts.
What it does
- Manifest analysis extracts accurate install and run commands directly from
package.json,pyproject.toml,Cargo.toml, orDockerfile. - Audience tailoring adjusts the tone and section priority for developers, end-users, or operators.
- Environment mapping builds configuration tables from
.env.examplefiles without leaking secrets. - Honest status reporting clearly labels project maturity from idea to stable to prevent user frustration.
- Dependency auditing lists the tech stack based on verified project files, not guesses.
How it works
- Supply your project name, one-liner, and target audience.
- Provide manifests like
package.jsonor directory trees for context. - The skill analyzes the build scripts and dependencies to draft a structured, skimmable document.
- Review the grounded output which omits any section not supported by evidence.
Frameworks & tools
Works with any project containing standard manifests including Node.js, Python, Rust, Go, Ruby, and Docker-based environments.
Why this beats prompting it yourself
Generic prompts often invent features or add broken install commands that don't match your actual code. This skill uses a strict architecture lens to ensure every claim is backed by the files you provide, resulting in documentation that is actually usable for onboarding.
Use cases
- Drafting a high-quality README for a new open-source library.
- Refactoring a messy internal repository doc into a clear operator runbook.
- Creating audience-specific documentation for a CLI tool.
- Standardizing documentation across a team's microservices.
Known limitations
This skill requires project manifests or file excerpts to be effective. It will not invent features, benchmarks, or badges not present in the provided materials.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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- Passed all security checks, Safe to install