market-research

market-research is a skill for Claude Code from rshankras/claude-code-apple-skills. It costs 67 tokens per session (3,160 once invoked), scanned A, original, MIT.

A market analysis for iOS and macOS app ideas covering market size, growth, competition barriers, distribution, and revenue potential.

In plain words
What is it for?
Use it to estimate TAM, SAM, and SOM—the total market, reachable market, and realistic near-term share—and assess market trends.
Why use it?
It helps determine whether an app opportunity is large enough, accessible enough, and worth pursuing.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool; positional $N argument.

Part of the apple-skills plugin — 147 skills shipped together , and of apple-skills

Good fit Use it to estimate TAM, SAM, and SOM—the total market, reachable market, and realistic near-term share—and assess market trends.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rshankras/claude-code-apple-skills/market-research
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.

Any agent
npx skills add rshankras/claude-code-apple-skills --skill market-research
Clone the repo
git clone --depth 1 https://github.com/rshankras/claude-code-apple-skills

Made for: Claude Code.

Or install apple-skills, the plugin that ships this one along with the rest of its 147 skills.

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 market-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/market-research/github.svg)](https://agentmods.dev/skills/rshankras/claude-code-apple-skills/market-research)
Your own site
<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/market-research"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/market-research/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 market-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/rshankras/claude-code-apple-skills/market-research"><img src="https://agentmods.dev/badge/skills/rshankras/claude-code-apple-skills/market-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,160 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00067 $0.03160
Opus 5 $0.00034 $0.01580
Sonnet 5 $0.00013 $0.00632
Haiku 4.5 $0.00007 $0.00316

Measured 7d ago against content hash 858b4765be8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

market-research 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 7d 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.

skills/product/market-research/SKILL.md · 434 lines

How it starts

The opening of the file, as written. The whole thing — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Market Research Skill

Performs deep market research for iOS/macOS app ideas. Provides market sizing, growth analysis, and opportunity assessment.

When This Skill Activates

Use this Skill when the user wants to:

  • Understand market size and potential
  • Analyze market growth trends
  • Calculate TAM/SAM/SOM
  • Assess market maturity
  • Identify entry barriers
  • Understand distribution channels
  • Estimate revenue potential
  • Deep-dive after initial problem discovery

This is a follow-up to the product-agent skill — use this when you need market depth.

What This Skill Does

1. Market Sizing (TAM/SAM/SOM)

  • TAM (Total Addressable Market): Total revenue opportunity if you captured 100% of the market
  • SAM (Serviceable Available Market): Segment of TAM you can reach with your product/distribution
  • SOM (Serviceable Obtainable Market): Realistic share you can capture in near term (1-3 years)

2. Growth Analysis

  • Historical growth rates
  • Future projections (3-5 years)
  • Growth drivers
  • Market trends

3. Market Maturity Assessment

  • Stage: Emerging, Growing, Mature, or Declining
  • Market lifecycle position
  • Implications for new entrants

4. Entry Barriers

  • Technical barriers
  • Brand/network effects
  • Regulatory requirements
  • Capital requirements
  • Customer acquisition costs

5. Distribution Channels

  • How apps in this category reach users
  • App Store dynamics
  • Alternative channels (web, enterprise, etc.)

6. Revenue Potential

  • Average revenue per user (ARPU)
  • Conversion rates
  • LTV (Lifetime Value)
  • Revenue models in use

Output Structure

{
  "market_category": "Task Management",
  "market_sizing": {
    "tam": {
      "value": "$4.5B",
      "description": "Global productivity software market",
      "methodology": "Total potential revenue if product served all users globally"
    },
    "sam": {
      "value": "$900M",
      "description": "iOS/macOS task management apps (20% of TAM)",
      "methodology": "Addressable via App Store distribution on Apple platforms"
    },
    "som": {
      "value": "$45M",
      "description": "Realistic 3-year capture (5% of SAM)",
      "methodology": "Based on typical indie app market share penetration"
    }
  },
  "market_growth": {
    "historical_growth": "12% CAGR (2021-2025)",
    "projected_growth": "10% CAGR (2026-2030)",
    "growth_drivers": [
      "Remote work adoption",
      "Increased digital task management",
      "Mobile-first workflows"
    ],
    "headwinds": [
      "Market saturation",
      "Consolidation toward major players"
    ]
  },
  "market_maturity": {
    "stage": "Mature",
    "characteristics": [
      "Established leaders (Todoist, Things)",
      "Clear product categories",
      "Slowing growth rate",
      "Focus on feature differentiation"
    ],
    "implications": "Differentiation critical. Hard to compete on basics. Must have unique angle."
  },
  "entry_barriers": {
    "low": [
      "Technical implementation (task management is straightforward)"
    ],
    "medium": [
      "Building user base in crowded market",
      "Achieving reliable sync across devices"
    ],
    "high": [
      "Brand recognition (Todoist, Things have 10+ years)",
      "Network effects (team collaboration features)",
      "Customer switching costs (data lock-in)"
    ],
    "overall_assessment": "Medium-High - Technical execution is achievable, but market position is difficult"
  },
  "distribution_channels": {
    "primary": {
      "channel": "App Store",
      "percentage": "75%",
      "dynamics": "Discoverability challenging. ASO critical. Top charts dominated by established apps."
    },
    "secondary": [
      {
        "channel": "Direct website",
        "percentage": "15%",
        "dynamics": "For power users. Allows higher pricing. Better for subscription retention."
      },
      {
        "channel": "Word of mouth / Communities",
        "percentage": "10%",
        "dynamics": "Productivity communities, Reddit, Twitter. High-intent users."
      }
    ]
  },
  "revenue_potential": {
    "arpu": {
      "freemium": "$12/year (5% convert at $20/year)",
      "paid_only": "$30-40/year",
      "premium": "$60-100/year"
    },
    "conversion_rates": {
      "free_to_paid": "3-7% industry average",
      "trial_to_paid": "15-25% with 14-day trial"
    },
    "ltv": "$150-300 (2-5 year user lifecycle)",
    "realistic_year_1": "$50K-200K (1K-5K users at $40 ARPU)",
    "realistic_year_3": "$500K-2M (10K-50K users with growth)",
    "path_to_scale": "Requires strong differentiation, word-of-mouth growth, and retention >85%"
  },
  "market_opportunity_score": "6/10 - Moderate",
  "reasoning": "Large market with growth, but mature and competitive. Success requires clear differentiation and excellent execution. Not a 'gold rush' market, but sustainable business possible for well-positioned product."
}

Read the full file on GitHub · 434 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 434 lines · 67 tokens per session scan A 858b4765be8e

Subscribe to this mod's changes

market-research is a skill published in the GitHub repository rshankras/claude-code-apple-skills (719 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 3,160 once invoked, about $0.0003 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 2026-09-03.

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