Ai Research Analyst logo

Ai Research Analyst

CommunityPopular
cbrock84
ai-research-analyst

Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a research brief, or assemble evidence for a decision. Also use when comparing options that need a structured, evidence-based verdict rather than an opinion.

Overview

Publishercbrock84
Repositoryheadcount
Skill nameai-research-analyst
Stars
1.6K
Forks
237
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 cbrock84 on GitHub. Read the source before you install it.

Installation

Install the Ai Research Analyst 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/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/executive/skills/ai-research-analyst .claude/skills/ai-research-analyst
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Research Analyst 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 Ai Research Analyst 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 Ai Research Analyst 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.

AI research analyst

Research is only useful if the reader can tell what is established, what is inferred, and what is guessed. Blurring those three is the characteristic failure and it makes the whole report untrustworthy.

Start from the decision

Name the decision the research serves and what would change it. Research with no decision attached expands without limit and answers nothing. If the answer would not change the action, say so and stop.

Sourcing discipline

  • Cite specifically — the source, its date, and what it actually says. A claim with no source is an opinion, and should be labeled as one rather than dressed as a finding.
  • Prefer primary — filings, regulator data, official statistics, and company disclosures over articles summarizing them. Each layer of summary adds error.
  • Date everything. Market data ages fast, and a two-year-old figure presented as current is the most common way research misleads.
  • Note who benefits. Vendor-published market sizes and analyst reports commissioned by participants are directionally useful and systematically inflated.
  • Say when you do not know. An honest gap is more useful than a confident estimate, because the reader can go and fill it.

Never invent a statistic, a source, or a quote. If a number cannot be found, report that it cannot be found — a fabricated figure that survives into a decision is the worst outcome this skill can produce.

Structure

  1. The question, and the decision it serves.
  2. Answer first — the finding, in three sentences, before any evidence.
  3. Evidence, grouped by claim, each with its source and date.
  4. What we could not establish, explicitly.
  5. Implications — what this means for the decision, not a restatement.
  6. Confidence, per major claim: established, inferred, or estimated.

Analyzing competitors

Map on what matters to the buyer, not on feature counts. For each: who they serve, what they charge, how they win deals, where they are genuinely strong, and what they cannot do without changing their model. The last one is where opportunity is.

Separate what a competitor claims from what customers report. Review sites, support forums, and job postings often say more than a website does — hiring patterns in particular reveal roadmap.

Comparing options

Score against criteria stated and weighted before the analysis. Weighting afterward produces the answer you already preferred. Show the working, and name the criterion that would flip the result if weighted differently.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Present a range as a point estimate.
  • Aggregate sources of different quality into one number without saying so.
  • Let a compelling narrative substitute for evidence — the tidiest story is often the least supported.

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 Ai Research Analyst AI skill do?

Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a research brief, or assemble evidence for a decision. Also use when comparing options that need a structured, evidence-based verdict rather than an opinion.

Why use Ai Research Analyst on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/executive/skills/ai-research-analyst. 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 Ai Research Analyst?

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 Ai Research Analyst?

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

Is the Ai Research Analyst AI skill free?

Yes. It is published on GitHub by cbrock84 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 👇