A rigorous diagnostic skill that scores draft messages against the Made to Stick SUCCESs framework to ensure they resonate and drive action.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bookforge-stickiness-audit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bookforge-stickiness-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Stickiness Audit?
The Stickiness Audit is a specialized tool within the Openclaw Skills library designed to provide an evidence-grounded verdict on the effectiveness of pitches, announcements, and landing pages. Inspired by the principles in Made to Stick by Chip and Dan Heath, it moves beyond generic writing advice to offer a principled scoring method for professional communicators.
By evaluating a draft across the six SUCCESs dimensions—Simple, Unexpected, Concrete, Credible, Emotional, and Stories—plus the Curse of Knowledge villain axis, this skill identifies exactly why a message might fail to land. It functions as a last-mile quality gate, ensuring that your core message is compact, sensory, and emotionally resonant before you ship it to your audience.
Stickiness Audit Use Cases
- Running a last-mile quality check on high-stakes emails or keynote speeches to ensure maximum memorability.
- Comparing two different versions of a landing page hero section to determine which is more likely to convert.
- Identifying the Curse of Knowledge in technical documentation or internal memos that might be too jargon-heavy for the target audience.
- Providing a structured communications critique for marketing teams or founders during a launch phase.
How Stickiness Audit Works
- The agent initializes task tracking for all seven stickiness dimensions and establishes an audit frame based on the draft, audience, and goal.
- It performs a sequential analysis of the text, scoring each SUCCESs dimension (0/1/2) based on specific pass/fail criteria and quoted evidence.
- The agent evaluates the Curse of Knowledge villain axis to detect expert blind spots that may obscure the message for non-experts.
- A quick anti-pattern scan is conducted to check for issues like burying the lead or decision paralysis.
- The skill synthesizes a comprehensive stickiness-scorecard.md file, featuring a ranked list of the top 3 rewrite targets and specialist handoff recommendations.
Stickiness Audit Setup
To use this diagnostic tool within your agent environment, ensure you have the Openclaw Skills framework configured. You can install the skill and its dependencies via your CLI:
# Install the core audit skill
clawhub install bookforge-stickiness-audit
# Install recommended specialist dependencies
clawhub install bookforge-core-message-extractor
clawhub install bookforge-concrete-language-rewriter
Stickiness Audit Data Schema & Taxonomy
The skill generates a structured report file that serves as a diagnostic trail for the user.
| Feature | Description |
|---|---|
| Audit Frame | Captures the audience profile, intent, and communication channel constraints. |
| Scorecard Table | A 7-row matrix containing scores, verdicts, and direct quotes from the draft. |
| Kidney-Heist Line | A calibration sentence comparing the draft to the book's gold-standard urban legend. |
| Rewrite Targets | A prioritized list of fixes ranked by severity and estimated implementation effort (S/M/L). |
| Handoffs | Explicit routing to specialist Openclaw Skills for deep-dive remediation. |
Stickiness Audit Advanced Features
- Specialist Routing: Automatically recommends the exact foundation skill (e.g., curiosity-gap-architect) needed to fix specific dimension failures.
- Multi-Version Comparison: Can ingest multiple draft versions simultaneously to provide a data-driven recommendation on which one to ship.
- Anti-Pattern Detection: Includes a cross-cutting logic gate to catch structural communication errors like common-sense sedation.
- Evidence-Grounded Auditing: Every score is tied to a specific quoted passage, making the AI's logic completely auditable and transparent.
SKILL.md
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