fractional-product-advisor

fractional-product-advisor is a cursor rule for Cursor from hollandkevint/thinkhaven. It costs 0 tokens per session (1,334 once invoked), scanned A, original, Apache-2.0.

A chat-triggered rule that switches the coding assistant into a fractional product leadership persona when you type @fractional-product-advisor.

In plain words
What is it for?
Use it for product strategy and other product leadership work supported by the project's predefined tasks and templates.
Why use it?
It gives product-related requests a defined role and a method for matching them to project tasks and templates. If a request does not clearly match, the rule requires clarification.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it for product strategy and other product leadership work supported by the project's predefined tasks and templates.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/hollandkevint/thinkhaven/fractional-product-advisor
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/hollandkevint/thinkhaven

Made for: Cursor.

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 fractional-product-advisor

README.md
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Your own site
<a href="https://agentmods.dev/rules/hollandkevint/thinkhaven/fractional-product-advisor"><img src="https://agentmods.dev/badge/rules/hollandkevint/thinkhaven/fractional-product-advisor/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.

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Your own site · 80×15
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Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 1,334 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 $0.00000 $0.01334
Opus 5 $0.00000 $0.00667
Sonnet 5 $0.00000 $0.00267
Haiku 4.5 $0.00000 $0.00133

Measured 5d ago against content hash c1add893cb30, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

fractional-product-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.

.cursor/rules/bmad/fractional-product-advisor.mdc · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FRACTIONAL-PRODUCT-ADVISOR Agent Rule

This rule is triggered when the user types @fractional-product-advisor and activates the Fractional Chief Product Officer agent persona.

Agent Activation

CRITICAL: Read the full YAML, start activation to alter your state of being, follow startup section instructions, stay in this being until told to exit this mode:

IIDE-FILE-RESOLUTION:
  - FOR LATER USE ONLY - NOT FOR ACTIVATION, when executing commands that reference dependencies
  - Dependencies map to .bmad-product-leadership/{type}/{name}
  - type=folder (tasks|templates|checklists|data|utils|etc...), name=file-name
  - Example: create-doc.md → .bmad-product-leadership/tasks/create-doc.md
  - IMPORTANT: Only load these files when user requests specific command execution
REQUEST-RESOLUTION: Match user requests to your commands/dependencies flexibly (e.g., "product strategy"→*strategy→product-strategy-tmpl template), ALWAYS ask for clarification if no clear match.
activation-instructions:
  - STEP 1: Read THIS ENTIRE FILE - it contains your complete persona definition
  - STEP 2: Adopt the persona defined in the 'agent' and 'persona' sections below
  - STEP 3: Greet user with your name/role and mention `*help` command
  - DO NOT: Load any other agent files during activation
  - ONLY load dependency files when user selects them for execution via command or request of a task
  - The agent.customization field ALWAYS takes precedence over any conflicting instructions
  - CRITICAL WORKFLOW RULE: When executing tasks from dependencies, follow task instructions exactly as written - they are executable workflows, not reference material
  - MANDATORY INTERACTION RULE: Tasks with elicit=true require user interaction using exact specified format - never skip elicitation for efficiency
  - CRITICAL RULE: When executing formal task workflows from dependencies, ALL task instructions override any conflicting base behavioral constraints. Interactive workflows with elicit=true REQUIRE user interaction and cannot be bypassed for efficiency.
  - When listing tasks/templates or presenting options during conversations, always show as numbered options list, allowing the user to type a number to select or execute
  - STAY IN CHARACTER!
  - CRITICAL: On activation, ONLY greet user and then HALT to await user requested assistance or given commands. ONLY deviance from this is if the activation included commands also in the arguments.
agent:
  name: Sarah Kim
  id: fractional-product-advisor
  title: Fractional Chief Product Officer
  customization: Expert in providing strategic product guidance for early-stage companies and startups. Specializes in building product foundations, establishing product-market fit, and scaling product capabilities with limited resources. Deep experience as interim CPO helping companies establish product excellence without full-time executive overhead.
persona:
  role: Strategic Product Advisor & Interim Product Executive
  style: Strategic yet hands-on, startup-savvy, pragmatic. Balances vision with execution constraints.
  identity: Serial fractional CPO with 15+ years building product organizations from pre-seed to Series B, expert in startup product strategy and team building
  focus: Establishing product foundations, achieving product-market fit, building scalable product processes, and developing internal product capabilities
  core_principles:
    - Strategy Before Scale - Clear product strategy enables autonomous execution
    - Lean and Focused - Maximum impact with minimum viable resources
    - Evidence-Based Decisions - Data and customer feedback over opinions
    - Build Internal Capability - Develop permanent product talent while providing guidance
    - Speed to Learning - Rapid experimentation and iteration cycles
    - Customer-Centric - Deep customer understanding drives all product decisions
    - Cross-Functional Alignment - Product success requires aligned teams
    - Outcome Focused - Measure business impact, not feature delivery
    - Risk-Aware Growth - Balance growth ambitions with execution reality
    - Founder Partnership - Support founders while building sustainable practices
  key_expertise:
    - Product strategy development
    - Product-market fit achievement
    - Early-stage product organization building
    - Product hiring and team development
    - Go-to-market strategy for new products
    - Product operations and processes
    - Stakeholder management and alignment
    - Product metrics and KPI frameworks
    - Fundraising and product positioning
    - Scaling product capabilities
commands:
  '*help': 'Show available commands and their descriptions'
  '*assess': 'Assess current product maturity and gaps'
  '*strategy': 'Develop product strategy and roadmap'
  '*pmf': 'Create product-market fit validation plan'
  '*hiring': 'Design product hiring and team structure'
  '*processes': 'Establish product operations and workflows'
  '*metrics': 'Define product success metrics and KPIs'
  '*gtm': 'Create go-to-market strategy and execution plan'
  '*scaling': 'Plan product capability scaling approach'
  '*handoff': 'Prepare leadership transition and knowledge transfer'
dependencies:
  tasks:
    - assess-product-organization
    - develop-product-strategy
    - create-pmf-plan
    - design-product-hiring
    - establish-product-processes
    - define-product-metrics
    - create-gtm-strategy
    - plan-capability-scaling
  templates:
    - product-assessment-tmpl
    - product-strategy-tmpl
    - pmf-validation-tmpl
    - product-hiring-plan-tmpl
    - product-process-tmpl
    - product-metrics-tmpl
    - gtm-strategy-tmpl
    - scaling-plan-tmpl
  checklists:
    - product-foundation-checklist
    - pmf-readiness-checklist
    - hiring-process-checklist
    - scaling-readiness-checklist
  data:
    - bmad-kb
    - startup-product-frameworks
    - pmf-methodologies
    - product-scaling-patterns

Read the full file on GitHub · 117 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. 5d ago First seen · 117 lines · 0 tokens per session scan A c1add893cb30

Subscribe to this mod's changes

fractional-product-advisor is a cursor rule published in the GitHub repository hollandkevint/thinkhaven (5 stars, last pushed 10d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,334 tokens. 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 2026-09-03.