research-plan

Name: research-plan
Availability: InStock
Author: quantfiction

Coordinate research planning to produce verified RESEARCH_DOSSIER artifacts.

Updated Aug 23, 2026

Search Tags:#automation #planning #documentation #research #governance #evidence #adrs

Ready to run

npx skills add https://github.com/quantfiction/dotfiles --skill research-plan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-plan
Source: https://github.com/quantfiction/dotfiles/tree/main/claude/plugins/global-skills/skills/research-plan
Command: npx skills add https://github.com/quantfiction/dotfiles --skill research-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate research planning to transform rough ideas into verified, evidence-backed plans. This workflow coordinates specialized sub-agents to gather evidence, enabling decision-ready plans before implementation.

Core Features & Use Cases

Structured intake and role assignment for sub-agents (Codebase Analyst, API/SDK Researcher, Learnings Retriever, Best Practices Scout, Git History Analyzer).
Evidence-first deliverable: outputs a RESEARCH_DOSSIER with verified facts, known unknowns, and recommended actions.
Governance and safety: enforces source attribution, verification steps, and versioned artifacts.

Quick Start

Provide a project slug and intake path to kick off the research planning workflow.

Frequently Asked Questions about research-plan

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

FAQPage Schema

How do I coordinate research planning to transform rough ideas into verified plans?▼

Structured intake and role assignment coordinate research planning by deploying sub-agents like Codebase Analyst and API Researcher to gather evidence, transforming rough ideas into verified, decision-ready plans.

What is a RESEARCH_DOSSIER and how does it support architecture decisions?▼

A RESEARCH_DOSSIER is an evidence-first deliverable that outputs verified facts, known unknowns, and recommended actions. It supports architecture decisions by enforcing source attribution, verification steps, and versioned artifacts.

Can I use automated research planning for ADR creation and knowledge capture?▼

Yes, automated research planning applies to ADR creation and knowledge capture across code, APIs, and architecture. It coordinates sub-agents to gather evidence for decision-ready plans.

How do I start a targeted research workflow with evidence rules?▼

Provide a project slug and intake path to kick off the research planning workflow. The workflow enforces evidence rules, ensures intake exists, and supports both targeted and deep research modes.

What sub-agent roles are assigned during evidence-based research planning?▼

Sub-agent roles include Codebase Analyst, API/SDK Researcher, Learnings Retriever, Best Practices Scout, and Git History Analyzer. These roles coordinate to gather evidence for verified plans.

Does evidence-based research planning enforce source attribution and governance?▼

Yes, research planning enforces governance and safety through source attribution, verification steps, and versioned artifacts. These rules ensure evidence-backed plans remain traceable and decision-ready.