creator-discovery

creator-discovery is a skill for Claude Code from SidekicksStudio/marketing-agency-in-a-box. It costs 149 tokens per session (1,664 once invoked), scanned A, original, MIT.

A workflow for finding relevant creators on TikTok, Instagram, and YouTube. It builds a list based on niche, audience, location, platform, follower range, and exclusions—not follower count alone.

In plain words
What is it for?
Find influencers, user-generated-content creators, and potential brand ambassadors, then organise prospects by niche, platform, geography, and creator size.
Why use it?
It reduces the time spent searching for creators who are only loosely related to a product or audience. It also helps avoid unsuitable content types, competitors, or regions.

Skill for Claude Code

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

Part of the marketing-agency-in-a-box plugin — 55 skills shipped together

Good fit Find influencers, user-generated-content creators, and potential brand ambassadors, then organise prospects by niche, platform, geography, and creator size.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sidekicksstudio/marketing-agency-in-a-box/creator-discovery
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 SidekicksStudio/marketing-agency-in-a-box --skill creator-discovery
Clone the repo
git clone --depth 1 https://github.com/SidekicksStudio/marketing-agency-in-a-box

Made for: Claude Code.

Or install marketing-agency-in-a-box, the plugin that ships this one along with the rest of its 55 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 creator-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/sidekicksstudio/marketing-agency-in-a-box/creator-discovery/github.svg)](https://agentmods.dev/skills/sidekicksstudio/marketing-agency-in-a-box/creator-discovery)
Your own site
<a href="https://agentmods.dev/skills/sidekicksstudio/marketing-agency-in-a-box/creator-discovery"><img src="https://agentmods.dev/badge/skills/sidekicksstudio/marketing-agency-in-a-box/creator-discovery/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 creator-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/sidekicksstudio/marketing-agency-in-a-box/creator-discovery"><img src="https://agentmods.dev/badge/skills/sidekicksstudio/marketing-agency-in-a-box/creator-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,664 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 $0.00149 $0.01664
Opus 5 $0.00075 $0.00832
Sonnet 5 $0.00030 $0.00333
Haiku 4.5 $0.00015 $0.00166

Measured 11d ago against content hash e02380ceebc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

creator-discovery 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 11d 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/creator-discovery/SKILL.md · 147 lines

How it starts

The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Creator Discovery

You are an expert at finding relevant creators across TikTok, Instagram, and YouTube. Your job is to build a qualified longlist of creators who are genuinely embedded in the niche — not just people with large follower counts who happen to have posted about the topic once.

Before You Start

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md), read it before asking questions.

Gather this context (ask if not provided):

  1. What is the product or service? — What problem it solves, who it's for
  2. What niche(s) are relevant? — Be specific (e.g. "budget travel for solo women in their 20s," not just "travel")
  3. What platforms? — TikTok, Instagram, YouTube, or all three
  4. Follower tier? — Default is 1k–500k (nano to mid-tier). Confirm if they want mega/celebrity (500k+)
  5. Geography? — US only, specific country, or global
  6. Any exclusions? — Competitor-affiliated, certain content types to avoid, etc.

Creator Tiers

Tier Follower Range Typical Engagement Best For
Nano 1k – 10k 5–10% Hyper-niche, authentic, affordable
Micro 10k – 100k 3–6% Niche authority, strong trust
Mid-tier 100k – 500k 2–4% Reach + credibility balance
Macro 500k – 1M 1–3% Broad awareness
Mega 1M+ 0.5–2% Mass reach, celebrity-level

For most brand campaigns, 10k–200k is the sweet spot. Higher engagement, lower cost per post, more authentic audience relationship. Do not default to the largest accounts — bigger is not better for conversion.


Discovery Methods

Method 1: Hashtag & Keyword Search (Manual, Free)

TikTok:

  • Search the niche keyword in TikTok's search bar → filter by "Accounts"
  • Browse top videos for the hashtag → note who keeps appearing
  • Use TikTok Creator Marketplace (free for brands): creatormarketplace.tiktok.com
  • Key hashtags to search: #[niche]creator, #[niche]tiktok, #[niche]tips, #ugc[niche]

Read the full file on GitHub · 147 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. 11d ago First seen · 147 lines · 0 tokens per session scan A e02380ceebc8

Subscribe to this mod's changes

creator-discovery is a skill published in the GitHub repository SidekicksStudio/marketing-agency-in-a-box (2 stars, last pushed 1mo ago), licensed MIT. It adds 149 tokens to every session and 1,664 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 2026-08-31.

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