feature-flow

Orchestrate end-to-end feature development across research, planning, testing, and merge stages.

23|2|Updated Mar 7, 2026

Search Tags:#automation #workflow #planning #modular #orchestrate #feature-flow #multiexpert

Ready to run

npx skills add https://github.com/kirich1409/krozov-ai-tools --skill feature-flow-kirich1409

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: feature-flow
Source: https://github.com/kirich1409/krozov-ai-tools/tree/main/plugins/developer-workflow/skills/feature-flow
Command: npx skills add https://github.com/kirich1409/krozov-ai-tools --skill feature-flow-kirich1409

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating complex feature development tasks with consistent, end-to-end orchestration across research, decomposition, planning, reviews, testing, implementation, and merge—without writing direct code.

Core Features & Use Cases

End-to-end feature lifecycle orchestration across multiple skills
Deterministic stage transitions and traceable results
Safe, multi-agent handoffs with centralized context and receipts

Quick Start

Invoke this skill with a feature description to start the end-to-end lifecycle through modular sub-skills.

Frequently Asked Questions about feature-flow

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

FAQPage Schema

How do I orchestrate end-to-end feature development across multiple agents?▼

End-to-end feature development is orchestrated by coordinating research, decomposition, planning, review, testing, implementation, and merge through modular sub-skills. This approach manages cross-functional collaboration with safe multi-agent handoffs and centralized context.

What is the best way to manage staged handoffs for large feature planning?▼

Managing staged handoffs for large feature planning requires a deterministic workflow with traceable decision points. Using modular sub-skills ensures safe transitions across research, decomposition, and implementation phases while preserving centralized context and receipts.

Can I use modular workflow orchestration for complex features without writing direct code?▼

Modular workflow orchestration handles complex feature development without writing direct code by applying frontmatter-driven discovery and pluggable components. It coordinates the entire lifecycle from research to merge using modular sub-skills and deterministic stage transitions.

How do I ensure safe rollback paths during multi-agent feature implementation?▼

Safe rollback paths during multi-agent feature implementation are ensured through deterministic stage transitions, safety checks, and traceable decision points. The orchestration workflow provides clear recovery mechanisms across research, planning, testing, and merge stages.

Does feature lifecycle orchestration support pluggable components like scripts and references?▼

Feature lifecycle orchestration supports pluggable components such as scripts, references, and assets through frontmatter-driven discovery. This architecture allows flexible integration of external resources while maintaining a deterministic workflow across all development stages.