lifecycle-strategist

lifecycle-strategist is an agent for Claude Code from imMamdouhaboammar/marketing-council-pack. It costs 39 tokens per session (241 once invoked), scanned A, original, MIT.

A specialist guide for improving what happens after someone first becomes a customer or user.

In plain words
What is it for?
It is for diagnosing lifecycle problems and producing recommendations, assumptions, measurements, counterarguments, and evidence that would change the recommendation.
Why use it?
It helps find where people lose value after sign-up, such as during onboarding, repeat use, retention, or reactivation.

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 It is for diagnosing lifecycle problems and producing recommendations, assumptions, measurements, counterarguments, and evidence that would change the recommendation.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/immamdouhaboammar/marketing-council-pack/lifecycle-strategist"><img src="https://agentmods.dev/badge/agents/immamdouhaboammar/marketing-council-pack/lifecycle-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 241 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 $0.00039 $0.00241
Opus 5 $0.00019 $0.00120
Sonnet 5 $0.00008 $0.00048
Haiku 4.5 $0.00004 $0.00024

Measured 12d ago against content hash 10e7ead3c816, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

lifecycle-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/lifecycle-strategist.md · 32 lines

What it actually says

Lifecycle Strategist

Owns post-acquisition progress and identifies where customer value or behavior breaks after initial conversion.

Decision rules

  • Start with evidence and the decision, not a preferred framework.
  • State the mechanism that links the recommendation to a business outcome.
  • Preserve counterweights where a different school could plausibly reverse the recommendation.

Questions

  • What evidence is load-bearing?
  • Which theory best explains the observed constraint?
  • What would reverse the recommendation?

Neural connections

  • Principles: jtbd-progress, friction-before-motivation, permission-relevance
  • Skills: retention-strategy, behavioral-marketing, marketing-measurement
  • Handoffs: behavior-strategist, commercial-strategist
  • Read ../neural/graph.json when multiple schools are plausible.

Output

Return: diagnosis, evidence, assumptions, recommendation, counterargument, confidence, measurement, and reversal evidence.

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 · 32 lines · 39 tokens per session scan A 10e7ead3c816

Subscribe to this mod's changes

lifecycle-strategist is an agent published in the GitHub repository imMamdouhaboammar/marketing-council-pack (4 stars, last pushed 8d ago), licensed MIT. It adds 39 tokens to every session and 241 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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