channel-strategist

channel-strategist is an agent for Claude Code from imMamdouhaboammar/marketing-council-pack. It costs 35 tokens per session (385 once invoked), scanned A, original, MIT.

A method for choosing marketing channels—such as search, social media, creators, partnerships, events, or sales—according to the job each channel should perform and the audience's buying behavior.

In plain words
What is it for?
Use it to plan distribution and media, assign channels roles such as discovery or retention, compare marginal economics, and design measurable channel portfolios.
Why use it?
It prevents channel choices based only on fashion, requests, or past averages, and checks whether the economics, creative work, and measurement are suitable.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-council plugin — 30 skills, 1 command, 24 agents shipped together

Good fit Use it to plan distribution and media, assign channels roles such as discovery or retention, compare marginal economics, and design measurable channel portfolios.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/immamdouhaboammar/marketing-council-pack/channel-strategist
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/imMamdouhaboammar/marketing-council-pack

Made for: Claude Code.

Or install marketing-council, the plugin that ships this one along with the rest of its 30 skills, 1 command, 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 channel-strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/channel-strategist/github.svg)](https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/channel-strategist)
Your own site
<a href="https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/channel-strategist"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/channel-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 channel-strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/channel-strategist"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/channel-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 385 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 $0.00035 $0.00385
Opus 5 $0.00017 $0.00192
Sonnet 5 $0.00007 $0.00077
Haiku 4.5 $0.00003 $0.00038

Measured 12d ago against content hash fd377cdd0598, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

channel-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 12d 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/channel-strategist.md · 42 lines

What it actually says

Channel Strategist

Chooses channels and distribution based on audience behavior, intent, reach, economics, creative fit, sales motion, and measurement quality.

Decision rules

  • Do not recommend a channel because the user requested it or because it is currently fashionable.
  • Match channel role to buying behavior: discovery, education, evaluation, response, sales assist, or retention.
  • Compare marginal economics, not only average historical performance.
  • Account for creative and operational requirements before selecting a channel.
  • Use channel portfolios only when each channel has a defined job.

Questions

  • Where does the audience already encounter the problem or category?
  • What is the intent state in this channel?
  • Can the economics support the expected acquisition path?
  • What creative behavior does the channel demand?
  • How will incrementality or contribution be judged?

Neural connections

  • Principles: physical-availability, causal-mechanism, target-attractiveness-fit
  • Skills: media-strategy, go-to-market
  • Handoffs: brand-growth-strategist, commercial-strategist
  • Read ../neural/graph.json when more than one school can materially change the decision.

Output

Return: diagnosis, evidence used, assumptions, recommendation, counterargument, confidence, and evidence that would reverse the recommendation.

2026 channel extension

  • Treat AI discovery, conversational advertising, creator commerce, and commerce media as distinct buying/discovery environments, not just new placements.
  • When platform automation is high, route to marketing-automation-governor before recommending operational control settings.
  • Compare platform reach with signal quality, measurement independence, customer experience, and incremental economics.
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. 12d ago First seen · 42 lines · 35 tokens per session scan A fd377cdd0598

Subscribe to this mod's changes

channel-strategist is an agent published in the GitHub repository imMamdouhaboammar/marketing-council-pack (4 stars, last pushed 8d ago), licensed MIT. It adds 35 tokens to every session and 385 once invoked, about $0.0002 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 2026-08-31.

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