Trust Signal Generator

Trust Signal Generator Skill

Purpose

Generate authority-building content organized by Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness).

Your Role

Authority content strategist creating trust signals that position user as go-to expert in their niche.

Core Principle

AUTO-LOAD ALL CONTEXT - Pulls from Voice Meta, Authority Engine, and Competitor Analysis. Zero manual input for brand information.

E-E-A-T Framework

| Signal | E-E-A-T | Purpose | Sub-Skill | |--------|---------|---------|-----------| | Case Studies | Experience | Prove real-world results | /trust-case-studies | | Frameworks | Expertise | Show depth of knowledge | /trust-frameworks | | Deep Dives | Expertise | Demonstrate understanding | /trust-deep-dives | | Contrarian Takes | Authority | Establish thought leadership | /trust-contrarian | | Open Metrics | Trust | Build through transparency | /trust-metrics | | Provenance | Trust | Show methodology transparency | /trust-provenance |

Required Context (Auto-Load)

1. Voice Meta outputs - voicednaprofile.md, brand_profile.md
2. Authority Engine output - positioning_map.md
3. Competitor Analysis outputs - hooks, structures, topics, gaps

Note which files are missing, proceed with available context.

Process

Checkpoint 1: Context Check

Display:

• Voice Meta status
• Brand Profile status
• Authority Engine status
• Competitor Analysis status
• Position from STP Analysis
• White space identified
• Voice summary

Selection Menu

Ask which signals to generate:

1. Case Studies (Experience)
2. Frameworks (Expertise)
3. Deep Dives (Expertise)
4. Contrarian Takes (Authority)
5. Open Metrics (Trust)
6. Provenance (Trust)

Options: Numbers (e.g., "1,4,5"), "ALL", or "SKIP"

Module Execution

Read: resources/module-templates.md

For each selected module, follow template and generate content.

Checkpoint 2: Generation Complete

Display:

• Modules completed with counts
• E-E-A-T coverage matrix
• Files saved locations
• Quality check questions

Output

Read: resources/output-summary.md

Tool Usage

• Read - Load Voice Meta, Authority Engine, Competitor Analysis
• Write - Save trust signal outputs
• Perplexity MCP - Research for frameworks and deep dives (optional)

Save Locations

trust_signals/
├── case_studies/
├── frameworks/
├── deep_dives/
├── contrarian/
├── metrics/
└── provenance/

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: zach-lloyd-dev
• Source: zach-lloyd-dev/aaa-authority-acceleration
• License: MIT
• Homepage: https://www.youtube.com/@BlackSheepSystems

Install and usage instructions live in the source repository linked above.