using-fno

Automate project management workflows with slash commands and CLI primitives.

2|Updated Jun 18, 2026

Search Tags:#project management #code review #AI integration #pull request management #CI/CD automation

Ready to run

npx skills add https://github.com/bllshttng/footnote --skill using-fno

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: using-fno
Source: https://github.com/bllshttng/footnote/tree/main/skills/using-fno
Command: npx skills add https://github.com/bllshttng/footnote --skill using-fno

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Claude, Codex, Gemini, fno, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of ensuring that projects are fully completed and tested before merging, by automating the workflow and providing AI-driven assistance.

Core Features & Use Cases

End-to-End Project Management: Automates the entire project lifecycle from planning to deployment.
AI Integration: Leverages AI to assist in design reasoning, code review, and project coordination.
Use Case: For a developer working on a new feature, this Skill can help automate the process of writing code, reviewing changes, and ensuring that all tests pass before merging the code into the main branch.

Quick Start

Set up the Skill by running /fno:setup and configure it to target a specific feature or project.

Frequently Asked Questions about using-fno

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate project management workflows with AI integration?▼

AI integration for project management workflow automation is achieved by providing slash-command workflows and CLI primitives. This orchestrates AI agents to handle planning, reasoning, and execution tasks across the development lifecycle.

Can I use Claude, Codex, or Gemini for automated code review and pull request management?▼

Claude, Codex, and Gemini AI agents can be used for automated code review and pull request management. The system leverages these dependencies to assist in design reasoning and ensure tests pass before merging code.

How do I set up AI-driven project management for a new feature?▼

AI-driven project management setup involves running the initial configuration command and targeting a specific feature or project. This initiates the automation for writing code, reviewing changes, and merging.

What is the best way to ensure a project is fully tested before merging using AI?▼

Ensuring a project is fully tested before merging using AI requires automating the workflow with AI-driven assistance. This approach addresses the challenge of project completion by validating tests and reviewing changes automatically.

Does CI/CD automation work with AI agents for end-to-end project lifecycle management?▼

CI/CD automation works with AI agents for end-to-end project lifecycle management by automating processes from planning to deployment. This integration provides the orchestration needed for continuous execution and review.