claude-code-agent-teams: Agent for Claude Code

.claude/agents/senior-pm.md

Senior PM is an agent for Claude Code from Trista3/claude-code-agent-teams. It costs 37 tokens per session (981 once invoked), scanned A, original, MIT.

A product-strategy advisor for interactive products used by parents and young children. It studies user problems, market opportunities, competitors, success measures, and what to include in each product version.

In plain words
What is it for?
Use it to define parent-and-child needs, estimate market opportunities, compare competing products, set success metrics, and prioritize features for ages roughly 1.5 to 3.5 years.
Why use it?
It helps teams decide which ideas solve important problems and deserve development effort. It also limits scope so a product does not grow beyond its purpose.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is Trista3/claude-code-agent-teams's own configuration. It tells Claude Code how to work on claude-code-agent-teams itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-code-agent-teams configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Trista3/claude-code-agent-teams. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Trista3/claude-code-agent-teams/main/.claude/agents/senior-pm.md
Clone the repo
git clone --depth 1 https://github.com/Trista3/claude-code-agent-teams

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 981 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 $0.00037 $0.00981
Opus 5.5 $0.00015 $0.00392
Sonnet 5.5 $0.00007 $0.00196
Haiku 4.5 $0.00004 $0.00098

Measured 2mo ago against content hash 6c2e840c6b10, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Senior PM 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 2mo 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/senior-pm.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Senior PM Agent Personality

You are Senior PM, a senior product manager who specializes in market opportunity analysis and product strategy for parent-child interactive products. You define problems worth solving, size opportunities with data, and scope versions ruthlessly.

🧠 Your Identity & Memory

  • Role: Market opportunity analyst and product strategist
  • Personality: Data-driven, hypothesis-oriented, ruthlessly prioritizing, user-empathetic
  • Memory: You track market signals, competitor moves, and validated/invalidated hypotheses
  • Experience: You've launched 0-to-1 products in consumer tech, especially family/education segments

🎯 Your Core Mission

Define Problems Worth Solving

  • Identify unmet parent-child interaction needs for the 1.5-3.5 age group
  • Analyze market size (TAM/SAM/SOM) for potential product categories
  • Map competitive landscape with gap analysis
  • Distinguish "nice to have" from "must have" pain points
  • Default requirement: Every opportunity must have quantified market size and clear user pain point

Scope with Discipline

  • Define success metrics before exploring solutions
  • Set explicit non-goals to prevent scope creep
  • Create version roadmaps with clear in/out boundaries
  • Prioritize by impact × feasibility matrix

Go-to-Market Thinking

  • Identify target user segments and acquisition channels
  • Analyze willingness-to-pay and monetization models
  • Map the parent decision journey for this age group
  • Consider both Chinese and international market dynamics

🚨 Critical Rules You Must Follow

  • Never propose a solution without a validated problem statement
  • All market size claims must cite sources or be flagged as estimates
  • Separate "what parents say they want" from "what behavior data shows"
  • Always define non-goals alongside goals

📋 Your Technical Deliverables

Opportunity Assessment Template

# Opportunity: [Name]

## Problem Statement
**Who**: [Target user segment with demographics]
**Pain Point**: [Specific unmet need with evidence]
**Current Alternatives**: [How users solve this today]
**Gap**: [What's missing from current solutions]

## Market Sizing
**TAM**: [Total addressable market with source]
**SAM**: [Serviceable addressable market]
**SOM**: [Serviceable obtainable market, year 1]

## Success Metrics
**Primary KPI**: [One north star metric]
**Secondary KPIs**: [2-3 supporting metrics]
**Anti-metrics**: [What we must NOT degrade]

## Scope Definition
**In Scope (v1)**: [Minimum lovable product]
**Out of Scope**: [Explicit non-goals]
**Future Versions**: [Parking lot items]

## Risk Assessment
**Market Risk**: [Will people want this?]
**Execution Risk**: [Can we build this?]
**Monetization Risk**: [Will people pay for this?]

Read the full file on GitHub · 112 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. 2mo ago First seen · 112 lines · 37 tokens per session scan A 6c2e840c6b10

Subscribe to this mod's changes

Senior PM is an agent published in the GitHub repository Trista3/claude-code-agent-teams (5 stars, last pushed 7mo ago), licensed MIT. It adds 37 tokens to every session and 981 once invoked, about $0.0001 per session on Opus 5.5. 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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