Individual skill
audience-calibration
Calibrate hook speed, cognitive load, proof type, and register across audiences using the Elaboration Likelihood Model and Construal Level Theory. Use when tailoring hooks to specific readers or channels.
skills/audience-calibration/SKILL.md
Source commit 953e486421606632752c455b4ea3e8305220f2c0
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 19
- Repository last updated
- Nov 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- agent-skill Repository topic
- agent-skills Repository topic
- chatgpt Repository topic
- claude Repository topic
- claude-ai Repository topic
- claude-skill Repository topic
- claude-skills Repository topic
- gemini Repository topic
- plugin Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 4,609 bytes
Read excerpt
# Audience Calibration & Cognitive Routing
A hook that converts a Staff Engineer on GitHub will bore a consumer scrolling on a phone at 11 PM. Conversely, a hook that stops a consumer on social media will trigger immediate disgust and skepticism in a CFO or systems architect.
Use the **Elaboration Likelihood Model (ELM - Petty & Cacioppo 1986)** and **Construal Level Theory (CLT - Trope & Liberman 2010)** to calibrate your hook's processing route, psychological distance, and proof density.
---
## Step 1: Diagnose Processing Route (ELM) & Construal Level (CLT)
1. **Central Route Processing (High Motivation + High Ability to Scrutinize)** Your reader is actively trying to solve a painful problem, evaluate a tool, or learn a craft.
- *Rule* - Peripheral tricks (flashy formatting, clever puns, emotional hype, authority name-dropping) **backfire** here. Lead with **Low-Construal (concrete, close, mechanistic) evidence** such as exact numbers, reproducible steps, failure boundaries, and architecture trade-offs.
2. **Peripheral-to-Central Bridge (Low Initial Motivation or Low Bandwidth / Skimming)** Your reader is scrolling a feed, checking email between meetings, or browsing casually.
- *Rule* - Readers will not invest cognitive effort in a 40-word technical paragraph on Line 1. Use a **High-Fluency Peripheral Hook** (a visceral 8-word scene, a sharp visual isolation, or an unexpected number contrast) in Seconds 1-3 that immediately bridges into Central substance by Sentence 3.
