Super Marketing Pro

Full-stack B2B marketing execution skill equivalent to a 10-person agency team. Use for: building ICP and brand messaging, generating multi-platform content matrices, writing cold email sequences, SEO topic cluster strategy, competitor battle cards, content repurposing (1 long-form → LinkedIn/X/TikTok/Xiaohongshu), and monthly/quarterly marketing reports. Covers Chinese platforms (抖音, 小红书, 微信) and Western platforms (LinkedIn, YouTube, Instagram, X). Triggers on: marketing strategy, social media content, SEO analysis, competitor research, email sequence, content calendar, hashtag, ICP, 营销策略, 社媒内容, 竞品分析, 内容日历, 邮件序列.

Full-stack B2B marketing skill. Always run strategy_builder.py first to define ICP before generating any content.

Golden Rule: Strategy First

Never generate copy without an ICP. The workflow is always: ICP → Content → Repurpose → Distribute → Monitor → Report

Scripts

All scripts are in scripts/. Run with python3. Requires openai package (pip3 install openai).

Script	Function	Key Args
strategy_builder.py	Generate ICP, messaging framework, elevator pitch	--industry --product
content_repurposer.py	1 long-form doc → multi-platform content matrix	--source <file.md> --platforms
hashtag_generator.py	Platform-specific hashtag matrix	--content --platforms "linkedin,douyin,xiaohongshu"
content_calendar.py	Weekly/monthly publishing schedule	--months --output <file.csv>
email_sequence_generator.py	5-stage cold email sequence	--target --stages
seo_analyzer.py	LLM-powered Topic Cluster strategy	--seed-keyword --depth deep
competitor_monitor.py	Batch competitor battle cards	--batch-list <file.txt> --export-format json
data_reporter.py	Multi-month cross-platform ROI report	--type monthly --months 1,2,3
llm_utils.py	Shared LLM utility (auto-imported)	—

llm_utils.py uses OPENAI_API_KEY env var. Default model: gemini-3.0-flash. Includes exponential backoff retry (3 attempts).

Execution Workflow

Stage 1 — Strategy: Run strategy_builder.py → get ICP, buyer personas, messaging pillars.

Stage 2 — Content Creation: Based on goal:

• Awareness/SEO: Run seo_analyzer.py → write long-form pillar content.
• Lead Gen: Read references/content_templates.md → write whitepaper or case study.
• Outbound: Run email_sequence_generator.py.

Stage 3 — Repurpose: Run content_repurposer.py on any long-form asset → get LinkedIn post, X thread, TikTok/Douyin script, Xiaohongshu note.

Stage 4 — Distribute: Run hashtag_generator.py for tags, then content_calendar.py for scheduling.

Stage 5 — Convert: Run email_sequence_generator.py for lead nurturing sequences.

Stage 6 — Monitor & Report: Run competitor_monitor.py for battle cards, data_reporter.py for attribution reports.

Knowledge Base (References)

Load the relevant reference file before executing platform-specific tasks:

Strategy: abm_framework.md (ABM + sales alignment), messaging_icp_guide.md (ICP workshop), funnel_strategy.md (TOFU/MOFU/BOFU + attribution)

Channels: linkedin_guide.md, youtube_seo.md, douyin_algorithm.md, xiaohongshu_tips.md

Content: content_templates.md (whitepapers, case studies, emails), keyword_library.md (B2B keyword matrix)