Research Market Listening logo

Research Market Listening

OrganizationPopular
gooseworks-ai
research-market-listening

Step of the research-market playbook: the worker brief for listening to what people say about the brand and category, risks first. Run research-market instead; not for direct use.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill nameresearch-market-listening
Stars
1.3K
Forks
219
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Research Market Listening 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/gooseworks-ai/goose-skills/tree/main/skills/marketing/research-market-listening
  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/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/research-market-listening .claude/skills/research-market-listening
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Research Market Listening 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 Research Market Listening 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 Research Market Listening 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.

listening

You listen to what people are saying right now about the brand, its founder, its products and its category, on the platforms its buyers use. Do every platform on the list before you return. Never stop to ask. The craft — the watchlist, name collisions, where and how to listen, who is speaking, how to classify, risk levels, outliers and trends — is ../research-market/references/listening-craft.md; read it first.

Inputs you get: the brand, products, founder and execs, handles, rivals, category terms (brand brain first), company type, today's date, the window (last 30 days by default; last 7 when the ask says "this week"), the saved watchlist if any, the last report's "What people are saying" section if any.

Worker rules: don't load any skill or playbook and don't start subagents or workflows — this brief is all you need. Standard depth: about 12 searches and 12 page fetches; a brand watch, about 6 and 6; a quarterly full report may go deeper. Every fact carries its link and date inline — the report quotes you directly.

Tools: web search (recency words, site: queries) and web fetch, freely; the platforms' own public pages only — never unofficial mirrors, archives or unofficial APIs; never log in. Pages that need the browser go on "Needs the browser" for the main run. The brand's own users (comments on its posts, its community, reviews of it) are first-hand evidence: if a page won't open, finish that read with site: searches and fetches of the posts themselves rather than dropping it, and say how it was read. Free server reads the main run gives you (organic posts, social_inspiration_search) are extras.

Two ways you run

  • Inside a market report: all steps below; return the full shape.
  • Brand watch (alone, on a schedule or on ask): steps 1–2, then the brand's mentions since the last watch (counted per day), the negative themes among them (named, with counts), a news check on the main rivals, and the voices' last 7 days for convergence only — risk first, alerts only. Return either the alerts that cross a threshold below, or exactly nothing crossed a threshold with the counts you checked (for the baseline). No positive themes, outliers or trends.

Brand-watch thresholds (alert when any is crossed): a serious or rising risk (craft file § Risk); brand mentions at ≥2× the last watch's count on the same method; a new negative theme raised by 3+ separate people; a post about the brand from an account with ≥100k followers or ≥50k views; misinformation about the brand; a rival's shutdown, price change or launch aimed at the brand's buyers.

Steps

  1. Watchlist. Use the saved one, or draft it: name forms, handle, products, founder, rivals, category and problem terms. Search the bare name first and write the name-collision exclusions.
  2. Risk first. Search the brand, products and founder with words like recall, reaction, rash, scam, lawsuit, refund, broke, hacked, boycott. Anything serious (S1 in the craft file) goes at the very top of your return, marked TELL THE FOUNDER NOW, so the main run can alert them before the report.
  3. Listen. Every query on every default platform for the company type, within the window: web search, then the platform's public pages, then the comments on the top posts. Tag who is speaking (independent · owned · affiliated) and undated items. Count only independent, dated, on-target items; say every count is a sample.
  4. Themes, outliers, trends. Themes in people's words with n and two linked quotes; quotes worth keeping as buyer language; outlier candidates with their baselines (or "baseline not read"); trends with dated evidence and a post-by date.
  5. Voices the buyer follows. Read their last 7 days (30 in a full report) and flag convergence, spike, underdog and controversy (craft file § Voices); in brand-watch mode only a convergence on our category is an alert.
  6. Rivals' conversation. What people say about the main rivals (complaints, praise, switching talk) — same method, so the volumes are comparable; otherwise say "not comparable".

Return this, in this shape

markdown
## What people are saying — <brand> — <window> (as of <date>)
TELL THE FOUNDER NOW: <S1 items, or "none">
Watchlist: <the table> · name confused with: <…>
Mentions (sample): <n independent by platform> · positive n · negative n · mixed n · neutral n · questions n · affiliated shown n · undated n
Themes: <theme in their words — n — two quotes with links>
Risks: <S2 / S3 items with link, reach, separate people, what we know>
Sales signals, rival complaints, reuse candidates, creators who fit: …
Product requests and workarounds: <quote — link — date>
How close to buying: curiosity n · consideration n · price or availability n · comparison n · bought n · repeat n · recommends n
Voices: <topic — signal (convergence / spike / underdog / controversy) — who — links — post-by date>
Rivals' conversation: <rival — what people say — volume (same method) or "not comparable">
Outliers: <link · creator · multiple (baseline n) · hook · format · topic> — save list for the main run
Trends: <trend · first seen · platform · evidence · stage · fit · audio rights · post-by · confidence>
Quotes worth keeping (people's own words, for the report and for audience research to pick up): <verbatim · link to the post or comment itself, never a community's home page · date>
Source mix: <share of items by kind of source — e.g. complaints sites, developer forums, social> and how it bends the picture
Needs the browser: …
Couldn't read: <platform or page — why — what it would have added>

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 Research Market Listening AI skill do?

Step of the research-market playbook: the worker brief for listening to what people say about the brand and category, risks first. Run research-market instead; not for direct use.

Why use Research Market Listening on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/research-market-listening. 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 Research Market Listening?

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 Research Market Listening?

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

Is the Research Market Listening AI skill free?

Yes. It is published on GitHub by gooseworks-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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇