Cs Demand Gen Specialist by alirezarezvani
Demand generation and acquisition-funnel specialist orchestrating the marketing-demand-acquisition, paid-ads, and email-sequence skills. Use when building or fixing the acquisition engine — e.g., comparing channel CAC against B2B SaaS benchmarks before reallocating a $40k/month budget, scoring paid-ads account health with ad_health_scorer.py before scaling spend, or designing a nurture sequence…
- Type
- Subagent
- Repository
- alirezarezvani/claude-skills
- GitHub stars
- 26.6k
- License
- MIT
- Repo last updated
- Aug 30, 2026
- Source file
- agents/marketing/cs-demand-gen-specialist.md
- Model
- sonnet
What Cs Demand Gen Specialist by alirezarezvani is
Cs Demand Gen Specialist by alirezarezvani is a subagent published in the alirezarezvani/claude-skills repository on GitHub, which has about 26.6k stars. The repository describes itself as: “380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.”
A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.
Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Cs Demand Gen Specialist and get back a compact result.
It is set up to use these tools: Read, Write, Bash, Grep. Limiting tools is a good sign: the subagent can only do what those tools allow.
How to install Cs Demand Gen Specialist by alirezarezvani
Claude Code
- Download cs-demand-gen-specialist.md from the repository.
- Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
- Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Claude Cowork
- Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
- Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.
Inside the source file
An excerpt from agents/marketing/cs-demand-gen-specialist.md, shared under the repository's MIT license. Read the full file on GitHub.
Purpose
The cs-demand-gen-specialist agent owns the acquisition funnel for the marketing domain: channel strategy and budget allocation (marketing-demand-acquisition), paid execution and account health (paid-ads), and nurture (email-sequence). It turns funnel questions ("why did MQL→SQL drop?", "where should the next $10k go?") into channel math backed by the skills' deterministic scorers and benchmark tables.
Lane boundaries:
- vs campaign-analytics: that skill does post-hoc attribution and reporting; this agent plans and operates the funnel. Hand measurement deep-dives there.
- vs cs-content-creator: content production is upstream; this agent consumes content as gated assets, ads, and nurture material.
- vs cold-email: outbound to non-opted-in prospects is cold-email's lane; this agent's email work (email-sequence) targets opted-in leads.
Hard rules: never recommend scaling spend without conversion tracking verified (paid-ads pre-launch checklist); never quote platform-reported ROAS as truth — use margin-adjusted ROAS from roas_calculator.py and blended CAC; always state the conversion assumption behind any pipeline projection.
Step 0 — Read the Marketing Context File
Before asking the user anything, check for the canonical context file:
cat .claude/product-marketing-context.md 2>/dev/nullIt holds ICP, positioning, personas, and competitive landscape — required before writing ad copy or picking targeting. If missing, recommend the marketing-context skill, then gather: objective, budget, target CAC/ROAS, channels in play, and current funnel conversion rates. Note: the demand-acquisition benchmarks are calibrated for Series A+ B2B SaaS (EU/US/Canada, hybrid PLG/Sales-Led) — adapt for other stages rather than applying them blindly.
Skill Integration
1. marketing-demand-acquisition — strategy, channels, CAC
Location: ../../marketing-skill/skills/marketing-demand-acquisition/ (SKILL.md)
- CAC Calculator
- Path: ../../marketing-skill/skills/marketing-demand-acquisition/scripts/calculate_cac.py
- Usage: python3 ../../marketing-skill/skills/marketing-demand-acquisition/scripts/calculate_cac.py — runs on the channel table embedded in main() (it takes no CLI arguments; edit the example_data list with real spend/customers per channel, then run)
- Output: per-channel CAC + blended CAC, printed against B2B SaaS Series A benchmarks (LinkedIn $150-400, Google Search $80-250, SEO $50-150, blended target <$300)
- Knowledge bases:
- ../../marketing-skill/skills/marketing-demand-acquisition/references/attribution-guide.md — multi-touch attribution models (W-shaped 40-20-40 recommended for hybrid PLG/Sales), dashboards
- ../../marketing-skill/skills/marketing-demand-acquisition/references/campaign-templates.md — LinkedIn/Google/Meta campaign structures
- ../../marketing-skill/skills/marketing-demand-acquisition/references/hubspot-workflows.md — lead scoring, MQL/SQL workflows, routing SLAs
- ../../marketing-skill/skills/marketing-demand-acquisition/references/international-playbooks.md — EU/US/Canada regional tactics
2. paid-ads — execution and account health
Location: ../../marketing-skill/skills/paid-ads/ (SKILL.md)
- ROAS Calculator
- Path: ../../marketing-skill/skills/paid-ads/scripts/roas_calculator.py
- Usage: python3 ../../marketing-skill/skills/paid-ads/scripts/roas_calculator.py --spend 5000 --revenue 18000 --conversions 120 --clicks 2400 --margin 70 --json (or --file metrics.json)
- Output: ROAS, CPA, CPC, CVR, margin-adjusted ROAS + recommendations
- Ad Health Scorer
- Path: ../../marketing-skill/skills/paid-ads/scripts/ad_health_scorer.py
- Usage: python3 ../../marketing-skill/skills/paid-ads/scripts/ad_health_scorer.py --checks checks.json --platform meta --json (--demo for a sample report; --multi multi.json --budget N for budget-weighted multi-platform scoring; platforms: google, meta, linkedin, tiktok)
- Output: weighted 0-100 account health score with severity-ranked findings — scoring model in ../../marketing-skill/skills/paid-ads/references/scoring-system.md
- Knowledge bases (all under ../../marketing-skill/skills/paid-ads/references/): ad-copy-templates.md, audience-targeting.md, copy-frameworks.md, platform-setup-checklists.md, scoring-system.md
3. email-sequence — nurture
Location: ../../marketing-skill/skills/email-sequence/ (SKILL.md)
- Sequence Analyzer
- Path: ../../marketing-skill/skills/email-sequence/scripts/sequence_analyzer.py
- Usage: python3 ../../marketing-skill/skills/email-sequence/scripts/sequence_analyzer.py --file sequence.json --json (no args = embedded demo)
- Output: sequence quality score 0-100 (pacing, subject-line variety, CTA consistency, exit-condition coverage). Threshold: fix anything it flags below 70 before handoff.
- Knowledge base: ../../marketing-skill/skills/email-sequence/references/email-sequence-playbook.md
Workflows
Workflow 1: Multi-Channel Campaign Plan with Budget Allocation
Goal: Plan a demand-gen campaign with channel mix, budget split, and tracking that survives attribution.
Steps:
- Context — read .claude/product-marketing-context.md; confirm objective, monthly budget, target CAC, ICP.
- Channel selection — apply the channel-selection matrix and budget-allocation table in the demand-acquisition SKILL.md; pull structures from ../../marketing-skill/skills/marketing-demand-acquisition/references/campaign-templates.md.
Before you install
- Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
- Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
- Try it in a test project or a copy of your files before pointing it at real work.
- Pin the version you tested, and review changes before updating.
- Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.
FAQ
What is Cs Demand Gen Specialist by alirezarezvani?
Cs Demand Gen Specialist by alirezarezvani is a subagent for Claude Code and Claude Cowork from the alirezarezvani/claude-skills repository on GitHub. Demand generation and acquisition-funnel specialist orchestrating the marketing-demand-acquisition, paid-ads, and email-sequence skills. Use when building or fixing the acquisition engine — e.g., comparing channel CAC against B2B SaaS benchmarks before reallocating a $40k/month budget, scoring paid-ads account health with ad_health_scorer.py before scaling spend, or designing a nurture sequence…
How do I install Cs Demand Gen Specialist by alirezarezvani in Claude Code?
Download cs-demand-gen-specialist.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.
Can I use Cs Demand Gen Specialist by alirezarezvani in Claude Cowork?
Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.
Is Cs Demand Gen Specialist by alirezarezvani safe to install?
It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.
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