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.