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Micro-Influencer Finder

by LeroyCreates · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
65
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Install in OpenClaw
/install micro-influencer-finder
Description
Define ideal micro-influencer profiles, outreach criteria, and vetting checklists for cost-effective partnerships.
README (SKILL.md)

Micro-Influencer Finder

Partnering with micro-influencers — creators with audiences typically between 1,000 and 100,000 followers — often delivers higher engagement rates and better return on investment than working with celebrity-tier influencers, but identifying the right partners is time-consuming and error-prone. Micro-Influencer Finder helps ecommerce brands define their ideal micro-influencer profile, build systematic outreach criteria, create vetting checklists to avoid fake followers and brand misalignment, and design partnership structures that maximize authentic product promotion while staying within budget constraints.

Use when

  • You are launching an influencer marketing program on a limited budget and want to find micro-influencers on TikTok, Instagram, or YouTube who genuinely align with your brand values and target customer demographics
  • You need a repeatable vetting checklist to evaluate potential micro-influencer partners for audience authenticity, engagement quality, content style fit, and brand safety before committing to a paid collaboration
  • You want to create tiered partnership structures with different compensation models such as gifting, affiliate commissions, flat fees, or hybrid arrangements based on the influencer's reach and engagement metrics
  • You are scaling from working with a handful of influencers to managing dozens of micro-influencer relationships and need standardized outreach templates, contract terms, and performance tracking frameworks

What this skill does

Micro-Influencer Finder takes your brand profile, product category, target audience, and campaign objectives to produce a comprehensive influencer partnership blueprint. It defines your ideal micro-influencer persona across multiple dimensions including niche alignment, audience demographics overlap, content style compatibility, engagement rate benchmarks, and posting frequency patterns. The skill generates a multi-step vetting framework that screens for fake followers using engagement-to-follower ratio analysis, audience geography verification, comment quality assessment, and growth pattern anomaly detection. It then produces outreach message templates for cold and warm contact scenarios, a negotiation guide with compensation benchmarks by platform and follower tier, and a performance measurement framework that tracks campaign ROI beyond vanity metrics to include attributable revenue, cost per acquisition, and brand sentiment impact.

Inputs required

  • Brand name and product category (required): Your brand and what you sell, with price point positioning. Example: "FreshFit — premium meal prep containers targeting health-conscious professionals, priced at $35-65 per set"
  • Target platforms (required): Which social platforms you want to focus on for micro-influencer partnerships, such as TikTok, Instagram Reels, YouTube Shorts, or a combination, along with any platform-specific goals
  • Campaign budget range (required): Your total available budget for micro-influencer partnerships per month or per campaign cycle, so the skill can recommend appropriate partnership tiers and expected partner volume
  • Target audience demographics (required): The customer profile you want influencers to reach, including age, gender, interests, geographic regions, and income level indicators
  • Previous influencer experience (optional): Any past influencer partnerships you have run, what worked or failed, and lessons learned so recommendations can be tailored to avoid repeating mistakes

Output format

The output is structured into five detailed sections. First, an Ideal Micro-Influencer Profile that defines the perfect partner across eight dimensions: niche category and subtopics, follower count range, minimum engagement rate by platform, audience demographics overlap targets, content style and aesthetic markers, posting frequency and consistency standards, brand affinity indicators to look for, and red flags that disqualify a candidate. Second, a Vetting Checklist with a scored evaluation rubric covering authenticity metrics such as engagement-to-follower ratio benchmarks by platform, comment sentiment analysis guidelines, follower growth trajectory patterns indicating organic versus purchased growth, audience geography distribution requirements, and content quality consistency assessment. Third, an Outreach Playbook containing customizable message templates for initial cold outreach via direct message and email, follow-up sequences for non-responders, warm introduction scripts when you have a mutual connection, and a negotiation guide with compensation benchmarks organized by platform and follower tier including gifting-only, affiliate commission structures, flat fee ranges, and hybrid models. Fourth, a Partnership Structure section defining tiered collaboration levels from one-time product seeding through ambassador programs, with specific deliverable expectations, usage rights terms, exclusivity considerations, and FTC disclosure requirements for each tier. Fifth, a Performance Tracking Framework specifying which metrics to track per influencer and per campaign including content reach and impressions, engagement rate on sponsored posts versus the creator's organic average, click-through rates using tracked links or unique discount codes, attributed conversions and revenue, cost per acquisition by influencer, and qualitative brand sentiment indicators from audience comments and mentions.

Scope

  • Designed for: ecommerce operators, DTC brand marketing teams, influencer marketing managers, social media coordinators
  • Platform context: TikTok, Instagram, YouTube, Pinterest, Twitter/X, platform-agnostic strategic guidance
  • Language: English

Limitations

  • Does not directly search influencer databases or social platforms to find specific creator profiles — output is a strategic framework and criteria for your own manual or tool-assisted search
  • Cannot verify individual influencer metrics in real time; authenticity checks described are manual inspection guidelines, not automated audits
  • Compensation benchmarks are based on general industry data and may vary significantly by niche, geography, and current market conditions
Usage Guidance
This skill looks safe to use as a planning aid. Users should still review any generated outreach, compensation, contract, and FTC-disclosure guidance before using it in real campaigns.
Capability Analysis
Type: OpenClaw Skill Name: micro-influencer-finder Version: 1.0.0 The skill bundle contains only metadata and a descriptive markdown file (SKILL.md) outlining a strategic framework for influencer marketing. There is no executable code, and the instructions are purely informational, lacking any signs of prompt injection, data exfiltration, or malicious intent.
Capability Assessment
Purpose & Capability
The visible instructions align with the stated purpose: defining influencer profiles, vetting criteria, outreach templates, partnership structures, and performance tracking guidance.
Instruction Scope
The skill appears to generate advisory marketing frameworks and templates; it does not instruct the agent to search databases, contact influencers, post publicly, or take account actions.
Install Mechanism
No install specification, binaries, environment variables, credentials, or code files are present.
Credentials
No local file access, network access, shell commands, browser automation, or provider integrations are indicated.
Persistence & Privilege
No persistence, background behavior, credential use, privileged access, or stored memory behavior is shown.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install micro-influencer-finder
  3. After installation, invoke the skill by name or use /micro-influencer-finder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release.
Metadata
Slug micro-influencer-finder
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Micro-Influencer Finder?

Define ideal micro-influencer profiles, outreach criteria, and vetting checklists for cost-effective partnerships. It is an AI Agent Skill for Claude Code / OpenClaw, with 65 downloads so far.

How do I install Micro-Influencer Finder?

Run "/install micro-influencer-finder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Micro-Influencer Finder free?

Yes, Micro-Influencer Finder is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Micro-Influencer Finder support?

Micro-Influencer Finder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Micro-Influencer Finder?

It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.0.0.

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