Real Skill packageSource verifiedClawHub registry

marketing-engineer

Marketing Engineer 营销工程体系（源自 Shann Holmberg 方法论）+ 单文件营销驾驶舱。当用户要搭建/运营产品营销工作区、要「随时看到整体情况/文件状态/排期」的可视看板、做内容营销策划、GEO/SEO 优化、AI 引擎可见度诊断、关键词调研、多渠道分发、竞品情报、上线推广 campaign 时使用。覆盖：一键工作区脚手架、治理规则（证据留源/人审/口径一致）、内容生产管线（工单制）、GEO 打法、驾驶舱引擎（工作区全景：左目录树/右文件列表、状态判定、实时扫描、明亮暗夜双主题）、外部增强 skill 编排（缺失时自动降级）。

Identity and source

Publisher attributioniguoguoregistry owner unverified by skillvetai
Functional categoryMarketing, SEO & Salesautomatically inferred · 70% rule confidence
Package forminstruction with code19 recorded files
Canonical sourceClawHub registryclawhub:iguoguo:marketing-engineer
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/24/2026.claude/skills/marketing-engineer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/24/2026.agents/skills/marketing-engineer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/24/2026skills/marketing-engineer

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @iguoguo/marketing-engineer
clawhub inspect @iguoguo/marketing-engineer --version 0.1.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
19 / 19 inspected as text
Checked
9/24/2026, 4:47:59 AM
Scanner
0.1.3
Policy
1.0.3
4 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
3 dependency and API indicators
  • api: clawhub.ai
  • api: github.com
  • api: x.com
External clawhub result: suspicious

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/23/2026, 6:39:55 PM
Release binding
Matches this record
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:351323253484f01b62bda593c0be1f9a9b448ab58395758546d416fcc7ae0d83
Show up to 19 recorded paths
  • .gitignore
  • assets/dashboard-skeleton.html
  • CHANGELOG.md
  • LICENSE
  • README_EN.md
  • README.md
  • references/brand-consistency-audit.md
  • references/dashboard-playbook.md
  • references/geo-playbook.md
  • references/usage-manual.md
  • references/workflow-content-production.md
  • references/workspace-structure.md
  • scripts/build_dashboard.py
  • scripts/init_workspace.py
  • scripts/md-faq-to-schema.py
  • scripts/scan_workspace.py
  • scripts/serve_dashboard.py
  • skill-card.md
  • SKILL.md

Source changelog

Initial release of marketing-engineer – a comprehensive, workflow-driven marketing operations toolkit powered by Shann Holmberg’s methodology. - Provides rapid setup of a product marketing workspace with a single-file dashboard for real-time visibility. - Structured process: knowledge foundation → tickets/workflows → human review → feedback loop, strictly evidence-based and auditable. - Driving principles: consistent terminology, traceable facts, mandatory approval for releases, and always up-to-date cockpit views. - Tooling includes workspace scaffolding, status scanning, dashboard generation, drag-and-drop content pipeline scripts, and optional integration with research/trend analysis skills. - Clear fallback paths ensure workflows continue seamlessly even when optional enhancements are unavailable.