marketing-research

marketing-research is a skill for Claude Code, Codex from ishwarjha/claude-marketing-research-skill. It costs 179 tokens per session (3,004 once invoked), scanned A, original, Apache-2.0.

A structured research system for studying products, audiences, markets, competitors, and positioning. Positioning means explaining how a product differs from alternatives and why a specific audience should choose it.

In plain words
What is it for?
It is for researching customers, competitors, markets, product value propositions, audience profiles, market awareness, and product positioning.
Why use it?
It gives marketing research tasks a consistent structure and writing approach. This helps turn scattered information about a market or audience into usable analysis.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It is for researching customers, competitors, markets, product value propositions, audience profiles, market awareness, and product positioning.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ishwarjha/claude-marketing-research-skill/marketing-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 ishwarjha/claude-marketing-research-skill --skill marketing-research
Clone the repo
git clone --depth 1 https://github.com/ishwarjha/claude-marketing-research-skill

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.

agentmods badge for marketing-research

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ishwarjha/claude-marketing-research-skill/marketing-research"><img src="https://agentmods.dev/badge/skills/ishwarjha/claude-marketing-research-skill/marketing-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,004 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 $0.00179 $0.03004
Opus 5 $0.00089 $0.01502
Sonnet 5 $0.00036 $0.00601
Haiku 4.5 $0.00018 $0.00300

Measured 12d ago against content hash e192e89c8785, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

marketing-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 12d 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.

marketing-research/SKILL.md · 330 lines

How it starts

The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Research Sourcebook

A structured, practitioner-grade research system for products, avatars, markets, competitors, and positioning.


WRITING RULES (Apply to Every Module)

These rules govern ALL output. Follow them without exception.

Style:

  1. Never use em dashes. Use periods, commas, colons, or separate sentences instead.
  2. Minimize parenthetical content. If something matters, give it a full sentence. If it does not matter, cut it.
  3. Write in active voice. Short paragraphs. Plain language. No hedging.
  4. Lead every section with the sharpest insight, not setup or context. Put the point first.
  5. Each sentence should earn its place. Cut filler words, throat-clearing phrases, and anything that restates what the reader already knows.
  6. Use "not X, but Y" constructions sparingly. Once per section at most.

Structure: 7. Tables over prose. Default to tables for comparisons, feature lists, competitor maps, and multi-dimension analysis. 8. One paragraph max per competitor in landscape maps. 9. Dimensionalized benefits: 3-4 sentences. One vivid scenario, not a narrative. 10. No "Chain-Forward Summary" sections. Context carries forward internally. 11. Mechanism stories: 1 short paragraph setup + 1 short paragraph outcome. 12. Value propositions stay full-length. These are copy assets. 13. Mental model reframes: 1 example per model. Pick the strongest. 14. Target module length: 100-150 lines. Full run approximately 600-700 lines total. 15. Use web search for competitor research. Pull current data. 16. Deliver each module as a single markdown file.


STEP 0: INTAKE INTERVIEW (Always Start Here)

Ask all questions at once:

Before we dive in, I need a few details:

1. What is your product? Short description: what it is, what it does, who it serves.
2. What are the main components, features, or chapters?
3. Who is your ideal customer? Their role, situation, and what they want.
4. Do you have any named competitors? Even 2-3 is enough.
5. What stage are you at?
   a) Just starting. Need everything.
   b) Have a product defined. Need avatar and market research.
   c) Have avatar research done. Need positioning and copy angles.
   d) Have everything. Need a competitor comparison.

Read the full file on GitHub · 330 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. 12d ago First seen · 330 lines · 179 tokens per session scan A e192e89c8785

Subscribe to this mod's changes

marketing-research is a skill published in the GitHub repository ishwarjha/claude-marketing-research-skill (49 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 179 tokens to every session and 3,004 once invoked, about $0.0009 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.

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