Installable skillMIT

Simplify

Simplify content and interactions to reduce cognitive load. Chains: plain-language-design, cognitive-load-assessment, focus-attention-design. Use when given content, a flow, or an interface that needs to be made more accessible.

BY wanghaishengUPDATED Oct 27, 2026
INTENDED FOR✳Claude Code↗Cursor◎ChatGPTInstall in a listed agent.

instructions.md

---
name: simplify
description: "Simplify content and interactions to reduce cognitive load. Chains: plain-language-design, cognitive-load-assessment, focus-attention-design. Use when given content, a flow, or an interface that needs to be made more accessible."
---

# Simplify

Take existing content, a flow, or an interface and produce a
cognitively simplified version.

## Process

### Step 1: Assess Current Load
Using **cognitive-load-assessment**, evaluate the current state. Identify
the highest-load elements and classify them as intrinsic or extraneous.

### Step 2: Simplify Language
Using **plain-language-design**, rewrite all user-facing text:
- Reduce to grade 6–8 reading level (grade 4–6 for critical content)
- Replace jargon with plain alternatives
- Shorten sentences to 15–20 words maximum
- Make every instruction specific and single-action

### Step 3: Reduce Visual and Interaction Load
Using **focus-attention-design**, reduce the interface to essentials:
- Identify the one primary action per screen
- De-emphasise or remove secondary elements
- Remove decorative elements that don't serve the task
- Simplify navigation to the minimum effective depth

### Step 4: Present Before and After
Show the original alongside the simplified version with annotations
explaining each change and why it improves cognitive accessibility.

## Output

Deliver the simplified version with a change log that explains every
modification. This allows the team to make informed decisions about
which simplifications to adopt.
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.