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Competitor Analysis

Community
Firstp1ck
competitor-analysis

Agents should invoke this skill when comparing competing products, services, libraries, tools, vendors, or approaches for market/product positioning, feature matrices, strategic trade-offs, pricing, adoption, or differentiation.

Overview

PublisherFirstp1ck
Repositorypi-coding-agent-forge
Skill namecompetitor-analysis
Stars
93
Forks
22
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 Firstp1ck on GitHub. Read the source before you install it.

Installation

Install the Competitor Analysis 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/Firstp1ck/pi-coding-agent-forge/tree/main/pi-skill-competitor-analysis/skills/competitor-analysis
  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/Firstp1ck/pi-coding-agent-forge.git /tmp/pi-coding-agent-forge
mkdir -p .claude/skills
cp -r /tmp/pi-coding-agent-forge/pi-skill-competitor-analysis/skills/competitor-analysis .claude/skills/competitor-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Analysis 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 Analysis 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 Analysis 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.

Competitor Analysis

Research competitive landscape and produce actionable comparisons.

Product stream vs market stream

Split investigation to mirror parallel research patterns; merge before strategic recommendations.

StreamFocusTypical sources
ProductFeature matrix, specs, APIs, pricing tables, integrations, release cadenceOfficial docs, changelogs, pricing pages, registries
MarketPositioning, messaging, ICP, reviews, sentiment, analyst takes, share/narrativeG2/Capterra, HN/Reddit, landing copy, news, reports

Execution: Run both streams in parallel (batched searches/fetches per stream) when possible. If using subagents, assign one stream per worker with a fixed handoff schema (bullets + URLs); one synthesis pass produces Steps 3–6 below.

Process

Step 1 — Define Scope

markdown
**Subject:** [What product/feature we're analyzing]
**Competitors to evaluate:** [Specific names, or "discover competitors"]
**Purpose:** [What decision this informs]
**Dimensions:** [Features, pricing, UX, performance, target audience]

Step 2 — Discover Competitors

Assign discovery to both streams: product-side (direct substitutes, OSS alternatives) and market-side (who buyers compare you to in reviews and “vs” articles).

If competitors aren't specified:

  • Search for "[category] alternatives"
  • Check comparison sites (G2, AlternativeTo, Product Hunt)
  • Search GitHub for open-source alternatives
  • Check Hacker News and Reddit for community recommendations
  • Review industry reports and analyst coverage

Step 3 — Feature Matrix (product stream)

markdown
## Feature Comparison

| Feature | Our Product | Competitor A | Competitor B | Competitor C |
|---|---|---|---|---|
| [Feature 1] | Yes | Yes | No | Partial |
| [Feature 2] | Planned | Yes | Yes | Yes |
| [Feature 3] | No | No | Yes | No |
| **Pricing** | [model] | [model] | [model] | [model] |
| **Target audience** | [who] | [who] | [who] | [who] |
| **Open source** | Yes/No | Yes/No | Yes/No | Yes/No |

Step 4 — Positioning Analysis (market stream)

For each competitor:

markdown
### [Competitor Name]

**Positioning:** [How they describe themselves]
**Target audience:** [Who they serve]
**Key differentiator:** [What makes them unique]
**Strengths:** [Where they excel]
**Weaknesses:** [Where they fall short]
**Pricing:** [Model and price points]
**Community/adoption:** [Size, activity, notable users]
**Threat level:** [High / Medium / Low — to our product]

Step 5 — Strategic Insights (merge)

Reconcile product facts with market narrative (e.g. a feature exists but messaging downplays it).

markdown
## Market Insights

### Gaps in the Market
- [Opportunity that no competitor addresses well]

### Table Stakes
- [Features every competitor has — we need these too]

### Differentiators Available
- [Areas where we can uniquely differentiate]

### Risks
- [Competitive risks to monitor]

Step 6 — Recommendation

markdown
## Recommendation

Based on the competitive landscape:
1. [Product strategy recommendation]
2. [Feature priority recommendation]
3. [Positioning recommendation]

Source Quality

For competitor analysis, prioritize:

  1. Official product pages and documentation
  2. Independent reviews (G2, Capterra)
  3. Community discussions (Reddit, HN, forums)
  4. Blog posts and comparisons (check for bias/sponsorship)

Scout skill — Competitor analysis and market research · P1 product/market streams: 2026-04-10

Frequently asked questions

What does the Competitor Analysis AI skill do?

Agents should invoke this skill when comparing competing products, services, libraries, tools, vendors, or approaches for market/product positioning, feature matrices, strategic trade-offs, pricing, adoption, or differentiation.

Why use Competitor Analysis on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Firstp1ck/pi-coding-agent-forge/tree/main/pi-skill-competitor-analysis/skills/competitor-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Competitor Analysis?

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 Analysis?

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

Is the Competitor Analysis AI skill free?

Yes. It is published on GitHub by Firstp1ck 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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