ccem: Skill for Claude Code

.agents/skills/product-design/product-strategist/SKILL.md

product-strategist is a skill for Claude Code, Codex from Genuifx/ccem. It costs 25 tokens per session (2,580 once invoked), scanned A, a copy of product-strategist, Apache-2.0.

Product strategy guidance for studying markets, comparing competitors, planning how to launch products, and growing through product use.

In plain words
What is it for?
Use it for market analysis, competitive positioning, go-to-market planning, and product-led growth.
Why use it?
It helps connect product decisions with market conditions, competing offerings, and plans for reaching customers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; installed under .agents/ (shared by several agents); mentions Codex.

This is Genuifx/ccem's own configuration. It tells Claude Code and Codex how to work on ccem 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 ccem configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/market_sizing.py --segment enterprise --geo north_america.

View source ↗ Genuifx/ccem
Reuse

Borrowing it

Nothing to install: this file belongs to Genuifx/ccem. 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/Genuifx/ccem/main/.agents/skills/product-design/product-strategist/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Genuifx/ccem

Made for: Claude Code, Codex.

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.

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README.md
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Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,580 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 98% copy Near-identical to another mod 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 $0.00025 $0.02580
Opus 5.5 $0.00010 $0.01032
Sonnet 5.5 $0.00005 $0.00516
Haiku 4.5 $0.00003 $0.00258

Measured 1mo ago against content hash d68acf86a9ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

product-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 1mo 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.

Origin

This is a copy

98% identical to product-strategist — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/product-design/product-strategist/SKILL.md · 380 lines

How it starts

The opening of the file, as written. The whole thing — 380 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Strategist

Expert-level product strategy for market success.

Core Competencies

  • Market analysis
  • Competitive positioning
  • Go-to-market strategy
  • Product-led growth
  • Business modeling
  • Strategic planning
  • Portfolio management
  • Partnership strategy

Market Analysis

Market Sizing (TAM/SAM/SOM)

TAM (Total Addressable Market)
├── Total market demand if 100% market share
├── Calculation: # of potential customers × average revenue per customer
└── Example: 10M businesses × $1000/year = $10B

SAM (Serviceable Addressable Market)
├── Portion of TAM we can serve with our product
├── Filter by geography, segment, use case
└── Example: 2M businesses in our target segment = $2B

SOM (Serviceable Obtainable Market)
├── Realistic market share in 3-5 years
├── Based on competition, resources, go-to-market
└── Example: 5% of SAM = $100M

Market Analysis Framework

# Market Analysis: [Market Name]

## Market Size
- TAM: $[X]B ([growth rate]% CAGR)
- SAM: $[X]B
- SOM: $[X]M

## Market Dynamics

### Growth Drivers
1. [Driver 1] - [Impact]
2. [Driver 2] - [Impact]

### Market Barriers
1. [Barrier 1] - [Mitigation]
2. [Barrier 2] - [Mitigation]

### Trends
- [Trend 1]: [Description]
- [Trend 2]: [Description]

## Customer Segments

| Segment | Size | Growth | Need | Willingness to Pay |
|---------|------|--------|------|-------------------|
| [Seg A] | [%] | [%] | [Need] | [$] |
| [Seg B] | [%] | [%] | [Need] | [$] |

## Competitive Landscape
[See competitive analysis section]

## Key Success Factors
1. [Factor 1]
2. [Factor 2]
3. [Factor 3]

Competitive Analysis

Competitive Matrix

Factor Us Competitor A Competitor B
Price $X $Y $Z
Feature 1 ★★★ ★★ ★★★★
Feature 2 ★★★★ ★★★ ★★
UX ★★★★ ★★ ★★★
Support ★★★ ★★★★ ★★
Integration ★★★★ ★★★ ★★★★

Porter's Five Forces

THREAT OF NEW ENTRANTS: [Low/Med/High]
- Barriers to entry: [Assessment]
- Capital requirements: [Assessment]
- Brand loyalty: [Assessment]

BARGAINING POWER OF SUPPLIERS: [Low/Med/High]
- Supplier concentration: [Assessment]
- Switching costs: [Assessment]

BARGAINING POWER OF BUYERS: [Low/Med/High]
- Buyer concentration: [Assessment]
- Price sensitivity: [Assessment]

THREAT OF SUBSTITUTES: [Low/Med/High]
- Availability: [Assessment]
- Switching costs: [Assessment]

COMPETITIVE RIVALRY: [Low/Med/High]
- Number of competitors: [Assessment]
- Industry growth: [Assessment]
- Differentiation: [Assessment]

Read the full file on GitHub · 380 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. 1mo ago First seen · 380 lines · 25 tokens per session scan A d68acf86a9ee

Subscribe to this mod's changes

product-strategist is a skill published in the GitHub repository Genuifx/ccem (23 stars, last pushed today), licensed Apache-2.0. It adds 25 tokens to every session and 2,580 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to product-strategist, differing in 2 lines, and is treated as a copy.

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