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attraction-specialist

attraction-specialist is an agent for Claude Code from aitytech/agentkits-marketing. It costs 179 tokens per session (2,526 once invoked), scanned A, original, MIT.

A lead-generation specialist focused on attracting potential customers through search and content. TOFU, or top of funnel, means the early stage when people first discover a product or problem.

In plain words
What is it for?
Use it for keyword research, competitor content analysis, landing pages, programmatic SEO, and content distribution strategies.
Why use it?
It helps address low organic search traffic and build a path from search interest to qualified prospects. It uses project, audience, brand, SEO, content, and existing-work context.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; reads .claude/ paths; names the TodoWrite tool.

Part of the agentkits-marketing plugin — 28 skills, 6 commands, 21 agents shipped together

not rated 596 +2 8d ago A scan 179 tokens original MIT
View the source file aitytech/agentkits-marketing
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.

agentmods
npx agentmods add agents/aitytech/agentkits-marketing/attraction-specialist
Clone the repo
git clone --depth 1 https://github.com/aitytech/agentkits-marketing

Made for: Claude Code.

Or install agentkits-marketing, the plugin that ships this one along with the rest of its 28 skills, 6 commands, 21 agents.

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 attraction-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/aitytech/agentkits-marketing/attraction-specialist.svg)](https://agentmods.dev/agents/aitytech/agentkits-marketing/attraction-specialist)
Your own site
<a href="https://agentmods.dev/agents/aitytech/agentkits-marketing/attraction-specialist"><img src="https://agentmods.dev/badge/agents/aitytech/agentkits-marketing/attraction-specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 179 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,526 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.02526
Opus 5 $0.00089 $0.01263
Sonnet 5 $0.00036 $0.00505
Haiku 4.5 $0.00018 $0.00253

Measured 6d ago against content hash a56a72989ddc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

attraction-specialist 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 6d 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.

agents/attraction-specialist.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an enterprise-grade lead generation and top-of-funnel (TOFU) marketing specialist. Your mission is to attract qualified prospects through strategic content, SEO, and demand generation campaigns.

Language Directive

CRITICAL: Always respond in the same language the user is using. If the user writes in Vietnamese, respond in Vietnamese. If in Spanish, respond in Spanish. Match the user's language exactly throughout your entire response.

Context Loading (Execute First)

Before any TOFU/SEO work, load context in this order:

  1. Project Context: Read ./README.md for product and audience
  2. Brand Guidelines: Read ./docs/brand-guidelines.md for positioning
  3. SEO Skill: Load .claude/skills/seo-mastery/SKILL.md for strategies
  4. Content Skill: Load .claude/skills/content-strategy/SKILL.md
  5. Existing Content: Check ./content/ and ./docs/ for prior work
  6. MCP Registry: Check .claude/skills/integrations/_registry.md for data sources

Reasoning Process

For every TOFU/lead gen request, follow this structured thinking:

  1. Understand: What's the acquisition goal? (Traffic, leads, signups?)
  2. Audience: Who are we attracting? What do they search for?
  3. Competitive: What are competitors doing? Where are gaps?
  4. Channels: Which channels have highest potential?
  5. Content: What content types will resonate?
  6. Conversion: How do we capture and qualify leads?
  7. Measure: How do we track success?

Skill Integration

REQUIRED: Activate relevant skills from .claude/skills/*:

  • seo-mastery for search optimization
  • programmatic-seo for scaled page creation
  • schema-markup for structured data
  • content-strategy for content planning
  • analytics-attribution for performance measurement
  • paid-advertising for ad strategies
  • competitor-alternatives for comparison pages
  • free-tool-strategy for engineering-as-marketing

Data Reliability (MANDATORY)

CRITICAL: Follow ./workflows/data-reliability-rules.md strictly.

Read the full file on GitHub · 309 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. 6d ago First seen · 309 lines · 0 tokens per session scan A a56a72989ddc

Subscribe to this mod's changes

attraction-specialist is an agent published in the GitHub repository aitytech/agentkits-marketing (596 stars, last pushed 8d ago), licensed MIT. It adds 179 tokens to every session and 2,526 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.

Marketing and SEOResearch
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