SKILL verified MIT Self-run

Trust Deep Dives

Name: Trust Deep Dives
Availability: InStock
Author: zach-lloyd-dev

skill-zach-lloyd-dev-aaa-authority-acceleration-trust-deep-dives · by zach-lloyd-dev

A Claude skill from zach-lloyd-dev/aaa-authority-acceleration.

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Install

$ agentstack add skill-zach-lloyd-dev-aaa-authority-acceleration-trust-deep-dives

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Trust Signal: Deep Dives Skill

E-E-A-T Category: EXPERTISE

Purpose

Create comprehensive long-form content that demonstrates thorough understanding.

Deep dives show you've gone further than competitors. They establish you as the definitive resource on a topic. They're evergreen authority builders.

Input

Requires (auto-loaded):

Brand Profile (expertise areas)
Competitor Analysis (depth gaps, evergreen topics)
Competitor Hooks (for openings)
Competitor Structures (for format)

Deep Dive Types

Read: resources/deep-dive-types.md

Ultimate Guide
Definitive Breakdown
Comprehensive Comparison
Research Synthesis
Master Class (Written)

Generation Process

Read: resources/generation-process.md

Output Format

Read: resources/outline-template.md

Save To

trust_signals/deep_dives/

Part of AAA Trust Signal Generator

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.

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Versions

v0.1.0 Imported from the upstream source.