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...

Security Scan

The skill appears to do what its marketing claims (B2B marketing automation) but there are important inconsistencies — notably it contains executable Python scripts that call an external LLM using an OPENAI_API_KEY even though the registry declares no required environment variables — so you should review and limit secrets and network exposure before installing.

Purpose & Capability

Name/description align with included scripts and reference docs: the package legitimately implements ICP/strategy, content repurposing, email sequence, SEO and reporting. However the registry metadata claims 'instruction-only' / no required env vars while the shipped scripts clearly require the openai client and an OPENAI_API_KEY — a manifest mismatch that should have been declared.

Instruction Scope

SKILL.md and scripts instruct the agent to run the provided Python scripts (strategy_builder, content_repurposer, email generator, competitor monitor, etc.). Several scripts read user-supplied local files (source docs, batch lists) and pass their contents to an LLM call (via llm_utils.call_llm). That implies sending potentially sensitive content to an external model endpoint. The SKILL.md does not explicitly warn about external data transmission or specify which env var is required in the registry, reducing transparency.

Install Mechanism

No installer or remote download steps are declared; code is bundled with the skill (9 scripts + docs). The only external runtime dependency is the Python 'openai' package (installed via pip), which is expected for LLM-based scripts. There are no obscure download URLs or archive extractions in the manifest.

Credentials

The code (llm_utils.py referenced in SKILL.md) requires OPENAI_API_KEY and the SKILL.md/README instructs the user to set an OpenAI-compatible API key and install openai. Yet the registry lists no required env vars or primary credential. That omission is disproportionate and misleading: an API key is necessary for normal operation and will be used to transmit content to an external LLM service.

Persistence & Privilege

Skill is not always:true and is user-invocable; it does not request elevated platform privileges or modify other skill configs. It will be able to run autonomously only if the agent chooses to invoke it (default behavior), which is normal for skills.

What to consider before installing

This skill largely matches its stated marketing function, but exercise caution before installing: 1) The bundled Python scripts call an external LLM and require an OPENAI_API_KEY (and the openai package), but the registry manifest did not list any required env vars — treat that as a red flag and add the missing declaration or ask the author for clarity. 2) Any long-form source files you feed into content_repurposer or other scripts will be sent to the LLM provider; do not include PII, secrets, customer data, or proprietary documents you can't expose. 3) Inspect scripts/llm_utils.py to confirm which endpoint, model, and timeout/retry/logging behavior are used, and ensure API calls are not logged to disk or sent to additional endpoints. 4) Run the skill in an isolated environment first (no production keys) and monitor network calls to confirm only the expected LLM endpoints are used. 5) Prefer creating a scoped/test API key with limited quota and audit logs; if you accept the skill, ask the maintainer to update the manifest to declare OPENAI_API_KEY and other runtime requirements for transparency.

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)