Bundle

July 2026 Skill Drop

5 certified workflows from the July 2026 Nexus Skill Drop, grouped as one release bundle.

Savings Callout

$27.50 bundle price vs. $49.95 as singles.

Formula pricing keeps every bundle at roughly 45% off the included single-skill prices.

Bundle License

$27.50

$49.95

Includes every listed skill with support for Claude Code, Codex, OpenClaw, and Google Antigravity, with the full individual price shown crossed out so the bundle discount is explicit.

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All sales final. No refunds on digital products.

What You Get In This Bundle

5 certified workflows from the July 2026 Nexus Skill Drop, grouped as one release bundle.

Included with this bundle

5 workflow skills grouped around one buyer job.
Claude Code, Codex, OpenClaw, and Google Antigravity adapters for every included skill.
Setup guidance and representative output examples for the included skills.

Upgrade Path

If you later decide to move from bundles into Pro, bundle buyers get $16.50 off the first year of Pro automatically at checkout.

Included Skills

AI Workflow Verification Matrix

$9.99

Teams shipping agentic workflows need a repeatable way to verify step behavior, edge cases, and fallback paths before launch, but they usually test ad hoc and miss failure chains.

Prompt Injection Threat Map

$9.99

Agent workflows that ingest web pages, tickets, or docs need a way to trace prompt-injection exposure across steps, but most teams only notice the issue after a bad run.

n8n Template Adaptation Brief

$9.99

Teams copy public automation templates, but they still need a concise adaptation plan to fit internal systems, credentials, naming, and review gates before deployment.

Multi-Agent Handoff Contract

$9.99

As teams chain multiple agents or tools together, they need a clear handoff contract for inputs, outputs, validation, and ownership, but these boundaries are usually implicit.

Grounded Answer Citation Audit

$9.99

Teams using RAG and document chat need to confirm that answers are actually supported by cited sources, yet many outputs look plausible without being grounded.