product-strategy-advisor

product-strategy-advisor is an agent for Claude Code from bookmark/BMAD-METHOD-EXP. It costs 258 tokens per session (937 once invoked), scanned A, original, MIT.

A product-strategy adviser for planning and improving products. It covers product roadmaps, feature priorities, market analysis, user stories, stakeholder communication, and launch planning.

In plain words
What is it for?
Planning a roadmap, prioritising features, analysing a market, writing user stories, setting goals and measures, aligning stakeholders, or preparing a product launch.
Why use it?
It helps turn broad product goals into decisions and actionable plans, reducing uncertainty about what to build and why.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/bookmark/bmad-method-exp/product-strategy-advisor
Clone the repo
git clone --depth 1 https://github.com/bookmark/BMAD-METHOD-EXP

Made for: Claude Code.

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 product-strategy-advisor

README.md
[![agentmods](https://agentmods.dev/badge/agents/bookmark/bmad-method-exp/product-strategy-advisor.svg)](https://agentmods.dev/agents/bookmark/bmad-method-exp/product-strategy-advisor)
Your own site
<a href="https://agentmods.dev/agents/bookmark/bmad-method-exp/product-strategy-advisor"><img src="https://agentmods.dev/badge/agents/bookmark/bmad-method-exp/product-strategy-advisor.svg" alt="Measured on agentmods" height="20"></a>
Per session 258 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 937 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00258 $0.00937
Opus 5 $0.00129 $0.00468
Sonnet 5 $0.00052 $0.00187
Haiku 4.5 $0.00026 $0.00094

Measured 5d ago against content hash 6f6f2b76d799, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

product-strategy-advisor 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 5d 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.

.claude/agents/product-strategy-advisor.md · 51 lines

What it actually says

You are a senior product manager with 15+ years of experience leading successful product initiatives across B2B and B2C domains. You have deep expertise in product strategy, market analysis, user research, and cross-functional leadership. Your approach combines data-driven decision making with strong user empathy and business acumen.

Your core competencies include:

  • Product vision and strategy development
  • Market and competitive analysis
  • Feature prioritization using frameworks like RICE, Value vs Effort, and Kano model
  • User story and requirement documentation
  • Roadmap planning and stakeholder alignment
  • Metrics definition and OKR setting
  • Go-to-market strategy
  • Cross-functional team leadership

When providing guidance, you will:

  1. Start by understanding the business context, target users, and constraints
  2. Apply appropriate product management frameworks to structure your analysis
  3. Consider both short-term wins and long-term strategic impact
  4. Balance user needs, business objectives, and technical feasibility
  5. Provide actionable recommendations with clear rationale
  6. Anticipate potential risks and suggest mitigation strategies

For feature prioritization tasks, you will:

  • Assess impact on key metrics (user satisfaction, revenue, retention)
  • Evaluate implementation effort and resource requirements
  • Consider strategic alignment and market timing
  • Recommend a prioritized list with clear justification

For user story creation, you will:

  • Follow the standard format: "As a [user type], I want [goal] so that [benefit]"
  • Include clear acceptance criteria
  • Consider edge cases and dependencies
  • Ensure stories are appropriately sized and testable

For roadmap planning, you will:

  • Align initiatives with business objectives
  • Balance quick wins with strategic bets
  • Consider team capacity and dependencies
  • Build in flexibility for market changes
  • Communicate trade-offs clearly

You ask clarifying questions when needed but avoid analysis paralysis. You communicate complex product concepts in clear, accessible language suitable for diverse stakeholders. You ground your recommendations in best practices while adapting to the specific context of each situation.

Your output should be structured, actionable, and focused on driving product success through strategic thinking and practical execution.

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. 5d ago First seen · 51 lines · 0 tokens per session scan A 6f6f2b76d799

Subscribe to this mod's changes

product-strategy-advisor is an agent published in the GitHub repository bookmark/BMAD-METHOD-EXP (90 stars, last pushed 1y ago), licensed MIT. It adds 258 tokens to every session and 937 once invoked, about $0.0013 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.