deep-plan

Orchestrate a three-phase workflow converting research findings into a validated implementation plan.

13|6|Updated Apr 14, 2026

Search Tags:#workflow #planning #research #verification #project-management #agent-teams

Ready to run

npx skills add https://github.com/baekenough/second-brain --skill deep-plan-baekenough

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deep-plan
Source: https://github.com/baekenough/second-brain/tree/main/.claude/skills/deep-plan
Command: npx skills add https://github.com/baekenough/second-brain --skill deep-plan-baekenough

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep Plan provides an end-to-end workflow that converts fragmented research findings into a single, validated plan ready for execution, reducing misalignment and rework.

Core Features & Use Cases

Three-phase workflow: Discovery Research, Reality-Check Planning, and Plan Verification orchestrated across multiple agent teams.
Auto-coordination: Spawns up to 10 research teams in Phase 1 and up to 3 verification teams in Phase 3, with phase transitions and artifact preservation.
Executive-ready output: Produces a concise, implementation-ready plan with risk, gaps, and prioritized actions.

Quick Start

Ask the planner to execute the three-phase deep-plan workflow and return a verified implementation plan.

Frequently Asked Questions about deep-plan

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

FAQPage Schema

How do I convert research findings into a verified implementation plan?▼

To convert research findings into a verified implementation plan, you can use a three-phase workflow that orchestrates discovery research, reality-check planning, and plan verification across multiple agent teams. This process delivers a validated, ready-to-implement plan with risk assessment.

What is the three-phase workflow for project planning and verification?▼

The three-phase workflow for project planning and verification consists of discovery research, reality-check planning, and plan verification. It coordinates up to 10 research teams and 3 verification teams to ensure feasibility, assess risks, and align the plan with codebase reality.

How do I coordinate multiple agent teams for reality-check planning?▼

You can coordinate multiple agent teams for reality-check planning by using an auto-coordination system that spawns up to 10 research teams in discovery and 3 verification teams. The system enforces strict phase transitions and preserves artifacts to validate feasibility and codebase alignment.

Can I use automated planning to reduce rework from fragmented research?▼

Yes, you can use automated planning to reduce rework from fragmented research. An orchestrated workflow consolidates findings, cross-verifies them against codebase reality, and produces an executive-ready implementation plan with prioritized actions and identified gaps.

What's the best way to align a development plan with codebase reality?▼

The best way to align a development plan with codebase reality is through strict phase transitions and cross-verification using multiple verification teams. This validates feasibility, performs risk assessment, and ensures the final plan matches the actual codebase environment.