feature-council

Orchestrate parallel solver agents to synthesize feature implementations into a plan.

24|2|Updated Dec 30, 2025

Search Tags:#multi-agent #synthesis #implementation-plan #solver-agents #feature-council #edge-case-coverage

Ready to run

npx skills add https://github.com/michaelboeding/skills --skill feature-council

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: feature-council
Source: https://github.com/michaelboeding/skills/tree/main/skills/feature-council
Command: npx skills add https://github.com/michaelboeding/skills --skill feature-council

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating feature development when exploring multiple independent approaches is time-consuming and error-prone. This Skill automates parallel agent-based implementations and synthesizes the strongest elements into a single plan.

Core Features & Use Cases

Spawn multiple solver agents to independently implement the same feature.
Synthesize best elements from all agents to produce a robust final solution.
Produce a concrete implementation plan with traceability to contributing agents.

Quick Start

Provide your feature request and desired agent count (3-10). The system will spawn agents, gather results, and return a synthesized plan and detailed execution steps.

Frequently Asked Questions about feature-council

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

FAQPage Schema

How do I implement a feature using multiple independent approaches?▼

Multi-agent synthesis spawns parallel solver agents to independently implement the same feature, then combines the strongest elements from each approach into a single robust solution. This enables comprehensive exploration and thorough edge-case coverage.

What's the best way to coordinate complex feature development across multiple approaches?▼

Feature council orchestration automates parallel agent-based implementation by capturing your requirements, spawning agents simultaneously, comparing results, and synthesizing the best solution with an explicit implementation plan and full traceability.

Can I automate exploration of diverse implementation strategies for a single feature?▼

Yes. The skill spawns 3-10 independent solver agents in parallel, each generating a complete implementation approach, then synthesizes the strongest elements into a concrete plan with detailed execution steps and contributing agent attribution.

When should I use parallel solver agents instead of a single implementation approach?▼

Use multi-agent synthesis for complex features where edge-case coverage and diverse architectural approaches are valuable. It's most effective when exploring trade-offs, validating design decisions, or reducing implementation risk through parallel exploration.

What output do I get from synthesizing multiple solver implementations?▼

You receive a final synthesized implementation plan, detailed execution steps, comparison analysis of all agent approaches, and explicit traceability showing which agents contributed each element of the solution.