feature-pilot

Automates complete SDLC lifecycle including validation for a given product.

Updated Feb 21, 2026
One-click install
npx skills add https://github.com/buddypia/kaiju-voice --skill feature-pilot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feature-pilot
Source: https://github.com/buddypia/kaiju-voice/tree/main/.claude/skills/feature-pilot
Command: npx skills add https://github.com/buddypia/kaiju-voice --skill feature-pilot

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the entire AI-driven feature development lifecycle by acting as a single entry point for all development requests, automating task classification, and orchestrating subordinate skills.

Core Features & Use Cases

  • Automated Request Classification: Intelligently determines the work type (new feature, bug fix, modification) from natural language requests.
  • End-to-End Orchestration: Manages the entire development pipeline, from initial research and specification to implementation, testing, and quality gates.
  • Built-in Validation: Integrates a "Readiness Gate" for direct Go/No-Go validation, reducing external dependencies.
  • Use Case: A product manager can request a new feature by simply stating "Implement a user profile editing feature," and the feature-pilot will handle all subsequent steps, including spec generation, coding, and testing.

Quick Start

Use the feature-pilot skill to implement a new feature for user authentication.

Frequently Asked Questions about feature-pilot

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

FAQPage Schema
How do I automate AI-driven feature development from request to testing?

AI-driven feature development can be automated by classifying natural language requests into work types and routing them through a multi-phase pipeline that includes research, specification, implementation, and quality gates.

What is the best way to orchestrate a workflow pipeline for bug fixes and feature modifications?

Workflow orchestration for bug fixes and modifications is managed by a state machine that ensures context continuity, routing tasks through specification generation, UI approval, and integrated validation phases.

Can I use natural language requests to classify development tasks automatically?

Natural language requests can be automatically classified into work types like NEW_FEATURE, MODIFY_FEATURE, or BUG_FIX, streamlining the intake process for development pipelines.

Does feature-pilot require external tools for quality gate validation?

Quality gate validation is built-in, utilizing a direct Readiness Gate for Go/No-Go validation to reduce external dependencies during the development pipeline.

How does the state machine maintain context continuity during implementation?

Context continuity during implementation is maintained by managing the pipeline state through a dedicated CONTEXT.json file, ensuring integrated validation across all development phases.