Influencer logo

Influencer

OrganizationPopular
vellum-ai
influencer

Research influencers on Instagram, TikTok, and X/Twitter through your browser

Overview

Publishervellum-ai
Repositoryvellum-assistant
Skill nameinfluencer
Stars
1.3K
Forks
186
Bundled files
8
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vellum-ai on GitHub. Read the source before you install it.

Installation

Install the Influencer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/skills/influencer .claude/skills/influencer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Influencer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Influencer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Influencer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Use browser automation for collection and host_bash helper scripts for deterministic parsing, scoring, and comparison. All browser operations are executed through the assistant browser CLI, invoked via host_bash.

Required tools

  • host_bash for assistant browser CLI commands and helper scripts in scripts/.

Step graph (state machine)

Step 1: Route intent

Use deterministic routing when intent is unclear:

bash
bun {baseDir}/scripts/influencer-intent.ts --request "<latest user request>" --has-candidates <true|false> --has-shortlist <true|false>

Use returned step to route to discover, enrich_profile, or compare_shortlist.

Step 2: Discover candidates (discover)

Instagram
  1. Navigate to keyword search/post surfaces.
  2. Snapshot + extract:
bash
assistant browser --session influencer --json snapshot
assistant browser --session influencer --json extract --include-links
  1. Parse candidates:
bash
bun {baseDir}/scripts/influencer-parse-candidates.ts --platform instagram --input-json '<json payload with extracted text/links>'
TikTok
  1. Navigate to user search page for query.
  2. Use assistant browser --session influencer scroll + assistant browser --session influencer wait-for to load additional candidates.
  3. Extract and parse:
bash
bun {baseDir}/scripts/influencer-parse-candidates.ts --platform tiktok --input-json '<json payload with extracted text>'
X/Twitter
  1. Navigate to people search view (f=user).
  2. Snapshot + extract:
bash
assistant browser --session influencer --json snapshot
assistant browser --session influencer --json extract --include-links
  1. Parse:
bash
bun {baseDir}/scripts/influencer-parse-candidates.ts --platform twitter --input-json '<json payload with extracted text/links>'

Step 3: Enrich profiles (enrich_profile)

For each selected candidate profile:

  1. Navigate to profile URL.
  2. Snapshot + extract profile metadata (bio, follower counts, verification indicators).
  3. Score with criteria:
bash
bun {baseDir}/scripts/influencer-score.ts --query "<user query>" --min-followers <n> --max-followers <n> --verified-only <true|false> --input-json '<json payload with profiles>'
  1. If themes are missing, enrich using:
bash
bun {baseDir}/scripts/influencer-theme-extract.ts --bio "<bio>" --query "<user query>"

Step 4: Build shortlist (compare_shortlist)

Generate deterministic comparison output:

bash
bun {baseDir}/scripts/influencer-compare.ts --limit <n> --input-json '<json payload with profiles and criteria>'

Present results grouped by platform with:

  • Username / display name
  • Followers (normalized)
  • Verification status
  • Theme highlights
  • Profile URL

Retry and fallback policy

  • Retry budget: 3 attempts for each state-changing browser step.
  • After any navigation or click that changes DOM, run fresh assistant browser --session influencer --json snapshot.
  • If blocked by sign-in wall or challenge after retries, ask user to complete that step and resume from latest successful state.

Platform notes

  • Instagram search often surfaces posts/reels before profiles; use author-handle pivot logic.
  • TikTok search can require scroll cycles to load profile cards.
  • X/Twitter should use people-search surfaces to avoid irrelevant mixed-content feeds.

Example helper payload shape

json
{
  "phase": "discover",
  "context": { "platform": "instagram" },
  "extracted": {
    "text": "...",
    "links": ["https://www.instagram.com/example/"]
  },
  "userIntent": "find fitness creators"
}

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Influencer AI skill do?

Research influencers on Instagram, TikTok, and X/Twitter through your browser

Why use Influencer on TypingMind?

Because you install it once and use it with any model. Influencer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Influencer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vellum-ai/vellum-assistant/tree/main/skills/influencer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Influencer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Influencer?

As many as you like. As long as a model supports skills, you can use Influencer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Influencer AI skill free?

Yes. It is published on GitHub by vellum-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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