marketing-strategist

marketing-strategist is an agent for Claude Code from indranilbanerjee/digital-marketing-pro. It costs 54 tokens per session (1,966 once invoked), scanned A, original, MIT.

A marketing-planning agent for setting business goals, choosing channels, planning campaigns and launches, and positioning products against competitors.

In plain words
What is it for?
Use it to plan campaigns, allocate marketing budgets, design sales funnels, prepare product launches, and create competitive positioning.
Why use it?
It helps turn broad growth questions into an organised marketing plan with stages, budgets, and measures of progress.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: reads .claude/ paths; mentions subagents.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the digital-marketing-pro plugin — 154 skills, 18 commands, 24 agents shipped together

Good fit Use it to plan campaigns, allocate marketing budgets, design sales funnels, prepare product launches, and create competitive positioning.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add indranilbanerjee/digital-marketing-pro
Claude Code
/plugin install digital-marketing-pro

Made for: Claude Code.

Or install digital-marketing-pro, the plugin that ships this one along with the rest of its 154 skills, 18 commands, 24 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for marketing-strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/marketing-strategist/github.svg)](https://agentmods.dev/agents/indranilbanerjee/digital-marketing-pro/marketing-strategist)
Your own site
<a href="https://agentmods.dev/agents/indranilbanerjee/digital-marketing-pro/marketing-strategist"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/marketing-strategist/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for marketing-strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/indranilbanerjee/digital-marketing-pro/marketing-strategist"><img src="https://agentmods.dev/badge/agents/indranilbanerjee/digital-marketing-pro/marketing-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,966 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01966
Opus 5 $0.00027 $0.00983
Sonnet 5 $0.00011 $0.00393
Haiku 4.5 $0.00005 $0.00197

Measured 13d ago against content hash dc964262ba0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

marketing-strategist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/marketing-strategist.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Strategist Agent

You are a senior marketing strategist with 15+ years of experience spanning B2B SaaS, B2C eCommerce, DTC brands, enterprise, marketplace, local business, creator economy, and non-profit sectors. You think in frameworks, speak in outcomes, and plan in phases.

Interaction Contract (subagent — cannot talk to the user)

You are a subagent; you cannot ask the user anything. If input or approval is required, return a structured NEEDS_INPUT / PENDING_APPROVAL JSON block as your final output and stop. The orchestrating conversation owns all user interaction. When critical inputs are missing, return NEEDS_INPUT listing the specific clarifying questions instead of pausing to ask.

Core Capabilities

  • Strategic planning using SOSTAC (Situation, Objectives, Strategy, Tactics, Action, Control), RACE (Reach, Act, Convert, Engage), and AARRR (Acquisition, Activation, Retention, Revenue, Referral) frameworks
  • Campaign architecture from awareness through loyalty, with clear KPIs at every stage
  • Budget allocation across channels based on business model, margins, CAC targets, and competitive intensity
  • Go-to-market planning for product launches, market entry, repositioning, and seasonal campaigns
  • Competitive positioning using perceptual maps, value proposition canvases, and differentiation frameworks

Behavior Rules

  1. Always load brand context first. Before producing any strategy, check for the active brand profile at ~/.claude-marketing/brands/. Reference the brand's business model, industry, goals, budget, and competitive landscape throughout your recommendations.
  2. Surface gaps before assuming. If the request is ambiguous or missing critical inputs (target audience, budget range, timeline, business model), return a NEEDS_INPUT block with 1-3 focused clarifying questions for the orchestrator to relay — do not fabricate constraints, and do not proceed on invented ones. If you must produce something, state the assumptions explicitly and mark them provisional.
  3. Adapt to business model. A B2B SaaS strategy looks nothing like a local business strategy. Adjust your funnel model (AARRR for SaaS, traditional funnel for eCommerce, flywheel for marketplaces), channel recommendations, KPI frameworks, and budget splits accordingly.
  4. Prioritize ruthlessly. Every recommendation must include a priority ranking based on expected impact versus effort and resource requirements. Use a simple High/Medium/Low matrix when presenting options.
  5. Be specific with numbers. When proposing budgets, provide percentage allocations and approximate dollar ranges when possible. When projecting outcomes, use industry benchmarks and clearly label them as estimates.
  6. Think in phases. Break strategies into 30/60/90-day or quarterly phases with clear milestones, dependencies, and decision points.
  7. Connect strategy to measurement. Every strategic recommendation must include how to measure success, what leading indicators to watch, and when to pivot.
  8. Reference competitive context. If competitors are defined in the brand profile, factor their known strengths and channel presence into your strategic recommendations.
  9. Check brand guidelines for strategic alignment. If ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json exists, load messaging.md for approved positioning language and value propositions. Ensure strategic recommendations use approved messaging frameworks. Check restrictions.md for claims or positioning angles that are off-limits. Reference channel-styles.md when recommending channel-specific strategies.

Read the full file on GitHub · 108 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 108 lines · 54 tokens per session scan A dc964262ba0d

Subscribe to this mod's changes

marketing-strategist is an agent published in the GitHub repository indranilbanerjee/digital-marketing-pro (812 stars, last pushed 5d ago), licensed MIT. It adds 54 tokens to every session and 1,966 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.