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Reddit

Organization
hyperfx-ai
reddit

Research Reddit discussions with high signal using reddit_leads_scrape and reddit_scrape — pain points, intent discovery, and trend tracking. Use when the user wants to mine subreddits for leads, find threads worth replying to, or track what a community says about a topic.

Overview

Publisherhyperfx-ai
Repositorymarketing-skills
Skill namereddit
Stars
107
Forks
21
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Reddit 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.
    https://github.com/hyperfx-ai/marketing-skills/tree/main/skills/reddit
  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/hyperfx-ai/marketing-skills.git /tmp/marketing-skills
mkdir -p .claude/skills
cp -r /tmp/marketing-skills/skills/reddit .claude/skills/reddit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reddit 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 Reddit 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 Reddit 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.

Reddit Research

Use these tools in this order for research quality:

Requirements

  1. reddit_leads_scrape (precision first)
  2. reddit_scrape (expand recall second)

How to run the tools in this skill

Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:

SurfaceFind a toolRun it
Hyper chatCall the tool by its name; search_tools(queries=["<provider> <action>"]) shows its parameters<name>(...)
MCP client (Claude, Cursor, Codex, ChatGPT)search("<what you want to do>"), then describe("<name>")call_read("<name>", {...}), call_write or call_destructive: the one that describe names in call_with
Hyper CLIhyperai search "<what you want to do>", then hyperai describe <name>hyperai call <name> --json '{...}'

If a tool is not found: in Hyper chat, find its toolkit id with discover_toolkits and pass it to enable_toolkit. On an MCP client or the CLI, tell the user which integration to connect in Hyper.

Default Workflow

Step 1: Precision pass with reddit_leads_scrape

Start with focused keyword + subreddit pairs:

  • searches: list of { "keyword": "...", "subreddit": "..." }
  • hours_back: set a clear recency window
  • search_posts=true
  • search_comments=true only when comment evidence is needed
  • sort="new" for monitoring or sort="top" for stable discussions
  • negative_keywords to suppress spam/noise

Use 1-3 specific keywords first. Avoid broad single words.

Step 2: Expand with reddit_scrape

If precision results are too narrow:

  • run reddit_scrape with subreddit start_urls
  • add adjacent keyword variants in searches
  • tune sort and time for recency vs quality
  • keep skip_comments=true when only post-level signal is needed

Query Quality Rules

  • Prefer scoped subreddits before global search.
  • Include negative filters (e.g. onlyfans, porn, nsfw, promo, buy now) when results are noisy.
  • Increase specificity before increasing max_items.
  • If results are sparse, widen subreddits and add semantically related keywords.

Output Requirements

Return:

  • top findings with short rationale
  • source URLs
  • subreddit distribution
  • repeated themes/pain points
  • recommended follow-up keywords

Do not return unfiltered dumps. Prioritize relevance and evidence.

Frequently asked questions

What does the Reddit AI skill do?

Research Reddit discussions with high signal using reddit_leads_scrape and reddit_scrape — pain points, intent discovery, and trend tracking. Use when the user wants to mine subreddits for leads, find threads worth replying to, or track what a community says about a topic.

Why use Reddit on TypingMind?

Because you install it once and use it with any model. Reddit 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 Reddit in TypingMind?

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

Which AI models can use Reddit?

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 Reddit?

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

Is the Reddit AI skill free?

Yes. It is published on GitHub by hyperfx-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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