landscape

Cluster hypotheses by tags and keywords into per-goal landscape files.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/achousal/EngramR --skill landscape
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: landscape
Source: https://github.com/achousal/EngramR/tree/main/.claude/skills/landscape
Command: npx skills add https://github.com/achousal/EngramR --skill landscape

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams identify structure in the hypothesis space by clustering related hypotheses, exposing gaps, and surfacing redundancies to guide research focus.

Core Features & Use Cases

  • Cluster hypotheses by tags, keywords, and mechanisms to reveal thematic groups.
  • Generate per-goal landscapes and a global landscape index to track progress across research goals.
  • Update landscape reports to support meta-reviews, /generate prompts, and /evolve decisions.

Quick Start

Analyze the active goals to produce a landscape summary and update the index.

Frequently Asked Questions about landscape

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

FAQPage Schema
How do I cluster and map research hypotheses to find gaps and redundancies?

Cluster and map research hypotheses by grouping related notes through tags, keywords, and mechanisms to reveal thematic structure. This exposes gaps and redundancies to guide research focus.

What is a hypothesis landscape and when do I need it for research programs?

A hypothesis landscape is a structured map of thematic clusters across active research goals. You need it when managing multiple goals to track progress and identify structural gaps.

How do I generate a per-goal landscape and global landscape index for my research notes?

Generate a per-goal landscape and global landscape index by reading hypothesis notes and writing structured landscape files. The index updates in _research/landscape.md.

Can I use landscape clustering for research programs with multiple active goals?

Yes, landscape clustering applies to research programs with multiple active goals. It enables per-goal landscapes and a global landscape index to support meta-reviews.

What is the best way to track hypothesis structure across multiple research goals?

Track hypothesis structure by generating per-goal landscapes and updating a global landscape index. This approach summarizes thematic clusters and supports decisions.

How do landscape reports support meta-reviews and research evolution decisions?

Landscape reports support meta-reviews by revealing clusters and gaps in the hypothesis space. They guide research focus and inform decisions through structured landscape summaries.