Competitor Intel logo

Competitor Intel

Organization
Amazon-Quick
competitor-intel

Researches and analyzes competitors for small businesses. Builds competitive intelligence reports with pricing, positioning, marketing strategies, strengths/weaknesses, and actionable differentiation recommendations. Use when asked to 'research my competitors', 'competitive analysis', 'what are my competitors doing', 'how do I differentiate', 'competitor pricing', 'who am I competing with', 'market landscape', 'SWOT analysis', 'spy on [competitor]', or 'compare us to [company]'.

Overview

PublisherAmazon-Quick
RepositoryAmazon-Quick-official-catalog
Skill namecompetitor-intel
Stars
50
Forks
4
Bundled files
1
LicenseMIT-0
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 Amazon-Quick on GitHub. Read the source before you install it.

Installation

Install the Competitor Intel 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/Amazon-Quick/Amazon-Quick-official-catalog/tree/main/skills/sales/competitor-intel
  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/Amazon-Quick/Amazon-Quick-official-catalog.git /tmp/Amazon-Quick-official-catalog
mkdir -p .claude/skills
cp -r /tmp/Amazon-Quick-official-catalog/skills/sales/competitor-intel .claude/skills/competitor-intel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Intel 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 Competitor Intel 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 Competitor Intel 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.

Overview

Delivers actionable competitive intelligence for small businesses. Identifies competitive set, researches positioning/pricing/marketing, creates SWOT analysis, builds positioning maps, and provides specific differentiation recommendations with outputs formatted for downstream skills.

Workflow

<Definition - Modes>

  • Quick: Single competitor or single dimension (pricing, reviews, marketing). Use when user asks about ONE competitor or ONE dimension. Produces focused answer in 1-2 minutes.
  • Full: Complete 6-step analysis with positioning map, SWOT, and recommendations. Use when user wants landscape view or doesn't specify a single question. Takes 5-10 minutes. </Definition - Modes>

<Definition - Competitor Categories>

  • Direct: Same product/service, same market
  • Indirect: Different solution to same problem
  • Aspirational: Where you want to be in 2-3 years
  • Emerging: New entrants or adjacent players moving in </Definition - Competitor Categories>

<Definition - Review Mining Protocol> Platforms to check: Google Business, G2/Capterra, Yelp, Trustpilot, Glassdoor. For each platform capture: overall rating, total review count, top 3 praised themes, top 3 complaint themes, owner response rate, most recent review date. Minimum threshold: 10 reviews across 2+ platforms for confidence. If below threshold, flag as low confidence. </Definition - Review Mining Protocol>

<Definition - Skill-Ready Outputs> Three formatted blocks always included (even in Quick mode):

  1. SEO Content Gap Targets table (for seo-content-writer)
  2. Competitive Positioning Snippet (for proposal-generator)
  3. Competitor Objection Handlers table (for outreach-sequence-builder) </Definition - Skill-Ready Outputs>

<Workflow - Router description="Determine whether to run Quick or Full analysis based on the user's prompt." tools=[] triggers=["research my competitors", "competitive analysis", "what are my competitors doing", "how do I differentiate", "competitor pricing", "who am I competing with", "market landscape", "SWOT analysis", "spy on", "compare us to"]

  1. [Decide] Analyze the user's prompt. Is it about ONE specific competitor or ONE specific dimension, or is it a broad/landscape question?
    • Single competitor named + single dimension (e.g., "how much does Acme charge?"): route to Quick Analysis.
    • Single competitor named + multiple dimensions (e.g., "tell me everything about Acme"): route to Full Analysis scoped to that competitor.
    • Multiple competitors or landscape question (e.g., "who are my competitors?"): route to Full Analysis.
    • Ambiguous (e.g., "research Acme's pricing and marketing"): route to Quick Analysis for the first dimension, then offer to continue. Validate: Exactly one workflow selected. If fails: Default to Full Analysis.

</Workflow - Router>

<Workflow - Full Analysis description="Complete 6-step competitive intelligence report." tools=[web_search, url_fetch, run_python, file_write] triggers=["research my competitors", "competitive analysis", "market landscape", "SWOT analysis"]

  1. [Agent] Step 0: Pull internal context. If email tools are available, search inbox for competitor brand names and lost deal mentions. If unavailable, skip silently. Validate: Any internal signals found enrich later steps. No signals is acceptable. If fails: Skip. Proceed with web-only research.

  2. [Decide] Is business context sufficient (industry, geography, at least 1 competitor name)?

    • Yes: proceed to step 3.
    • No: ask user what their business does, their market/geography, and any known competitors. Validate: At minimum, business description and geography are known. If fails: Cannot proceed without context. Re-ask.
  3. [Agent] Step 1: Identify competitive set. Search "[service/product] + [geography]", "alternatives to [known competitor]", review sites, and industry directories. Categorize per <Definition - Competitor Categories>. Target 3-5 direct + 1-2 emerging. Validate: At least 3 direct competitors identified with websites. If fails: Use only user-provided names. Note discovery limitations.

  4. [Ask user] Present discovered competitors. Confirm the list is correct before deep research. Validate: User confirms or adjusts the list. If fails: Adjust per user feedback and re-confirm.

  5. [Agent] Step 2: Deep research per competitor. For each, research: positioning/messaging, product/service offering with pricing, marketing strategy, customer reviews per <Definition - Review Mining Protocol>, business intelligence (team size, funding, tech stack). Validate: At least 3 dimensions researched per competitor. If fails: Use web_search snippets if url_fetch fails. Note incomplete data.

  6. [Agent] Step 3: Build positioning map. Create feature comparison matrix and 2x2 positioning grid (price vs. service level). Identify white space. Validate: Map shows clear opportunity for user's business. If fails: Provide comparison table without visual map.

  7. [Agent] Step 4: SWOT analysis. Each item must be specific, evidence-based, and paired with an action. Validate: No generic items like "good service". Every item references specific research. If fails: Revise with concrete evidence from Step 2.

  8. [Agent] Step 5: Strategic recommendations + skill-ready outputs. Produce 5-10 prioritized recommendations (insight, opportunity, action, timeline, effort) plus the three formatted blocks per <Definition - Skill-Ready Outputs>. Validate: Each recommendation has specific action. All three skill-ready outputs present. If fails: Add missing outputs.

  9. [Agent] Step 6: Deliver report and recommend monitoring cadence (weekly for reviews, monthly for content, quarterly for full refresh). Offer to save as markdown or create a spreadsheet tracker (Google Sheets, Excel via SharePoint/OneDrive, or local Excel - depending on what's connected). Validate: Monitoring cadence included. Deliverable is complete. If fails: Add monitoring recommendation.

</Workflow - Full Analysis>

<Workflow - Quick Analysis description="Focused single-dimension or single-competitor analysis." tools=[web_search, url_fetch] triggers=["how much does [competitor] charge", "what is [competitor] doing on social", "compare us to [company] on [dimension]"]

  1. [Decide] Identify the single competitor or single dimension from the prompt. Validate: Exactly one competitor or one dimension identified. If fails: If ambiguous, ask user to clarify. If broad, route to Full Analysis.

  2. [Agent] Research the specific dimension using web_search and url_fetch. Validate: Relevant data found for the dimension. If fails: Report what was found. Flag if data is limited.

  3. [Agent] Present findings in Quick format: Key Finding, Implication for You, Suggested Action. Include skill-ready outputs per <Definition - Skill-Ready Outputs>. Validate: All three sections present plus skill-ready outputs. If fails: Add missing sections.

</Workflow - Quick Analysis>

<Template - Quick Mode Output>

[Competitor Name]: [Dimension]

[Direct answer to the question]

Key Finding: [Most important insight] Implication for You: [What this means for your business] Suggested Action: [What to do about it]

[Skill-Ready Outputs] </Template - Quick Mode Output>

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 Competitor Intel AI skill do?

Researches and analyzes competitors for small businesses. Builds competitive intelligence reports with pricing, positioning, marketing strategies, strengths/weaknesses, and actionable differentiation recommendations. Use when asked to 'research my competitors', 'competitive analysis', 'what are my competitors doing', 'how do I differentiate', 'competitor pricing', 'who am I competing with', 'market landscape', 'SWOT analysis', 'spy on [competitor]', or 'compare us to [company]'.

Why use Competitor Intel on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Amazon-Quick/Amazon-Quick-official-catalog/tree/main/skills/sales/competitor-intel. 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 Competitor Intel?

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 Competitor Intel?

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

Is the Competitor Intel AI skill free?

Yes. It is published on GitHub by Amazon-Quick under the MIT-0 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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