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Niche Research

CommunityPopular
charlie947
niche-research

Surface the 20 most relevant stories in a niche from the last 7 days using available live research tools. Verified dates, real links, shareable angles. Use available browser or web search tools to inspect dated source material. Use this skill whenever the user says "research my niche", "what's trending", "find stories", "this week's news", "content research", or drops a niche and asks what's happening in it. Requires live source access for current research.

Overview

Publishercharlie947
Repositorysocial-media-skills
Skill nameniche-research
Stars
3.6K
Forks
836
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 charlie947 on GitHub. Read the source before you install it.

Installation

Install the Niche Research 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/charlie947/social-media-skills.git /tmp/social-media-skills
mkdir -p .claude/skills
cp -r /tmp/social-media-skills/skills/niche-research .claude/skills/niche-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Niche Research 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 Niche Research 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 Niche Research 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.

Niche Research

Codex and Claude runtime

  • Use this skill in Codex or Claude with the tools actually available in the current task. AskUserQuestion examples describe the questions, not a required API: use an available question tool within its limits, or ask in chat. Reuse answers and source material already supplied.
  • Work in the user-selected project. Read its about-me.md, voice.md and relevant brand files before personalised work. Confirm the intended author if files conflict or contain starter defaults. Ask for missing facts or run voice-builder; never inherit the maintainer's identity, accounts or private files.
  • Resolve bundled references/ relative to this skill folder. For an explicitly requested profile refresh, read and update the canonical about-me.md, voice.md or newsletter-voice.md in place, preserving unrelated user facts and rules. Consumers must reread those canonical files. Use a new filename only for new deliverables that would collide with unrelated existing files. Installation alone never starts an interview or writes files. Do not write persistent learnings unless requested.
  • Use supplied evidence first. Verify external claims through available search/source tools when needed. If a source or integration is unavailable, name the missing capability and offer supplied text/export input. Never invent facts, first-person experience, metrics or a successful tool run.
  • Connect only services needed for the chosen route through the user's existing account. Never print credentials or overwrite connections. Drafting, saving and reviewing do not authorise publishing, sending messages or changing accounts.

CRITICAL: Auto-start on load

When this skill triggers, go straight to Step 1. Do not summarise the research method.

Prerequisites

Use the live web search and browser capabilities actually available in Codex or Claude. No particular extension or assistant vendor is required. Read tool documentation and check access before choosing a route. Use the user's existing authorised sessions for personalised feeds; never change their connections.

Browser feed access and indexed web search are different evidence surfaces. If feeds are unavailable, continue with indexed public results and label the missing feed coverage. If no live source access exists, current research is pending; supplied dated sources can support a clearly labelled limited brief.

Never scrape comments or replies on any platform. Read original post bodies and article text only. Aggregate engagement counts may be recorded when visible. Do not enable comment collection through an actor option.

Step 1. Gather the niche

Call AskUserQuestion:

json
[
  {
    "question": "What niche do you want to research?",
    "header": "Niche",
    "multiSelect": false,
    "options": [
      {"label": "I will type my niche", "description": "Type the exact niche phrase after this"},
      {"label": "Pull from about-me.md", "description": "Use the niche and audience already in my voice files"}
    ]
  }
]

If the user picks "Pull from about-me.md", read the file from the project root. If the file does not exist or does not name a clear niche, fall back to asking the user to type it.

Step 2. Browse like a human researcher

Use the available route for the following sources; skip inaccessible feeds with an explicit coverage note. Verify publish dates on every item. Exclude anything older than 7 days from today without exception.

2a. Reddit feed scanning

  1. Navigate to https://www.reddit.com/ (home feed).
  2. Scroll the feed. Load more posts.
  3. Open niche-relevant posts. On each post, check the "posted X days ago" timestamp.
  4. Discard posts older than 7 days.
  5. Repeat with https://www.reddit.com/r/popular/.
  6. Also search any niche-specific subreddits that come up while scrolling.

2b. X (Twitter) feed scanning

  1. Navigate to https://x.com/home (For You feed).
  2. Scroll multiple screens.
  3. Open original niche-relevant posts. Author-authored continuations may supply context; do not collect the reply/comment thread.
  4. Check the post timestamp on each thread.
  5. Discard posts older than 7 days, even if engagement is high.

2c. Google web search

Run these searches one by one, open the top results, verify publish dates.

  • [niche] news (set Tools → Any time → Past week)
  • [niche] launch (past week)
  • [niche] controversy (past week)
  • [niche] research (past week)
  • [niche] regulation (past week)

For each promising result:

  1. Open the page.
  2. Locate the visible publish date.
  3. Verify it is within the last 7 days.
  4. If the date is missing, unclear, or older than 7 days, exclude it.

Step 3. Synthesise into themes

Collect a broad pool of verified, in-window items. Group related items into themes. Each theme may combine social discussion and news coverage.

Select themes that show at least two of:

  • Strong attention or discussion
  • Clear disagreement or debate
  • Novel insight or new information
  • Real-world implications for the niche

Target 20 themes. Fewer is acceptable if genuinely limited.

Step 4. Output

First line before the table:

As of [DD/MM/YYYY]

Then a markdown table with these exact columns:

| Theme / Emerging Story | Platforms (Reddit, X, News) | Key Communities / Accounts / Sources | Representative Links | Attention Signals | What's Happening or Being Debated | Why It Matters for [NICHE] | Shareable Angle |

Include a short coverage note naming which feeds or indexed searches were actually used, the date window and any inaccessible sources.

Step 5. Offer the next move

After the table, ask:

Any row here you want me to turn into a LinkedIn post? Call the post-writer skill with the row number, or the post-formatter skill to apply a framework.

Rules

  • Never invent links, metrics, or dates.
  • Exclude anything older than 7 days without exception.
  • Verify every publish date before including an item. No shortcuts.
  • Keep the table compact, with the coverage note outside it.
  • If fewer than 20 themes pass the filter, say so. Do not pad with weak items.
  • Indexed results do not prove a full feed scan. Missing feed access is a limitation, not evidence of no relevant stories.
  • British English throughout. DD/MM/YYYY date format.
  • Never use em dashes.

Frequently asked questions

What does the Niche Research AI skill do?

Surface the 20 most relevant stories in a niche from the last 7 days using available live research tools. Verified dates, real links, shareable angles. Use available browser or web search tools to inspect dated source material. Use this skill whenever the user says "research my niche", "what's trending", "find stories", "this week's news", "content research", or drops a niche and asks what's happening in it. Requires live source access for current research.

Why use Niche Research on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/charlie947/social-media-skills/tree/main/skills/niche-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Niche Research?

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 Niche Research?

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

Is the Niche Research AI skill free?

Yes. It is published on GitHub by charlie947 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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