audience-research

audience-research is a skill for Claude Code from MoizIbnYousaf/marketing-cli. It costs 142 tokens per session (3,357 once invoked), scanned A, original, MIT.

A research method for describing the people a business wants to reach, including their needs, habits, and buying context. It can use project brand files when they are available.

In plain words
What is it for?
Creating or updating buyer personas, ideal-customer profiles, target-market research, and audience profiles.
Why use it?
It helps replace vague, generic content with guidance based on a defined audience.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-cli plugin — 88 skills, 9 commands, 1 hook, 2 MCP servers shipped together

Good fit Creating or updating buyer personas, ideal-customer profiles, target-market research, and audience profiles.

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

Made for: Claude Code.

Or install marketing-cli, the plugin that ships this one along with the rest of its 88 skills, 9 commands, 1 hook, 2 MCP servers.

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 audience-research

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/audience-research"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/audience-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,357 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 335
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00142 $0.03357
Opus 5 $0.00071 $0.01679
Sonnet 5 $0.00028 $0.00671
Haiku 4.5 $0.00014 $0.00336

Measured 9d ago against content hash cfe795d8352b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

audience-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 9d 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/audience-research/SKILL.md · 409 lines

How it starts

The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Note: Examples below use fictional brands (Acme, Lumi, Helm). Replace with your own brand context.

/audience-research -- Know Who You're Talking To

Every marketing skill gets better when you know your audience. Generic copy happens when you write for "everyone." Specific copy that converts happens when you write for a real person with real problems.

This skill builds that audience profile. It's the foundation - 8 of 11 content skills read audience.md to shape their output. Running this first makes everything downstream sharper.

No SaaS tools needed. Systematic research plus web search.


On Activation

  1. Check if brand/ directory exists in the project root.
  2. If it does, read available files: voice-profile.md, positioning.md, audience.md, competitors.md, creative-kit.md, stack.md, learnings.md.
  3. Apply any loaded brand context to enhance output quality - skip questions the user has already answered.
  4. If brand/ does not exist, proceed without it - this skill works standalone.

Iteration Detection

Before starting, check whether ./brand/audience.md already exists.

If audience.md EXISTS --> Update Mode

Do not start from scratch. Instead:

  1. Read the existing audience profile.

  2. Present a summary of current personas:

    EXISTING AUDIENCE PROFILE
    Last updated {date} by /audience-research
    
    Personas:
    ├── {Persona 1 name}    {one-liner}
    ├── {Persona 2 name}    {one-liner}
    └── Primary: {primary persona name}
    
    Watering holes: {N} mapped
    
    ──────────────────────────────────────────────
    
    What would you like to do?
    
    1. Refine existing personas with fresh research
    2. Add a new persona segment
    3. Deep-dive into watering holes
    4. Full rebuild from scratch
    
  3. Process the user's choice:

    • Option 1 --> Re-run research for existing personas, update with new data
    • Option 2 --> Identify the new segment, build persona, merge into existing file
    • Option 3 --> Focus on community mining for existing personas
    • Option 4 --> Full process from scratch

Read the full file on GitHub · 409 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. 9d ago First seen · 409 lines · 142 tokens per session scan A cfe795d8352b

Subscribe to this mod's changes

audience-research is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 23d ago), licensed MIT. It adds 142 tokens to every session and 3,357 once invoked, about $0.0007 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.

Related

Other skills, from other repositories

linkedin-reply-handler

Draft a reply to a specific existing LinkedIn comment from its URL. Use when the user wants to reply to a comment on any post, or follow up after an author replied to them. Parses the commentUrn, resolves the correct parentComment target (LinkedIn flattens threads to 2 levels), and posts via Publora on approval. Not…

sergebulaev/linkedin-skills · 88 tokens

linkedin-comment-drafter

Draft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL and asks to comment, engage, be first commenter, or repost with their thoughts. Produces 1-3 variants in the user's voice, picks a reaction, and publishes via…

sergebulaev/linkedin-skills · 97 tokens

linkedin-employee-advocacy

Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team"…

sergebulaev/linkedin-skills · 82 tokens

ads-amazon

Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media…

AgriciDaniel/claude-ads · 76 tokens

ads-landing

Audit paid-ad landing pages for message match, mobile experience, performance, accessibility, trust, forms, consent, tracking, security, and conversion friction. Use for landing-page audit, post-click experience, LP audit, conversion-rate optimization, form optimization, ad-to-page message match, redirects, blocked…

AgriciDaniel/claude-ads · 81 tokens

ads-linkedin

Audit LinkedIn Ads measurement, Insight Tag and conversions, professional audiences, lead generation, ABM, creative, bidding, budgets, pacing, automation, and policy. Use for LinkedIn Ads, Campaign Manager, Insight Tag, Lead Gen Forms, Thought Leader Ads, ABM campaigns, or B2B paid media.

AgriciDaniel/claude-ads · 68 tokens