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Swot Strategy

OrganizationPopular
genspark-ai
swot-strategy

Run SWOT, PEST and competitive-landscape analysis on a company or product and turn it into actionable recommendations, delivered as a Word document

Overview

Publishergenspark-ai
Repositorygenoffice
Skill nameswot-strategy
Stars
11.3K
Forks
1.6K
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Swot Strategy 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/genspark-ai/genoffice/tree/main/skills/recommended/swot-strategy
  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/genspark-ai/genoffice.git /tmp/genoffice
mkdir -p .claude/skills
cp -r /tmp/genoffice/skills/recommended/swot-strategy .claude/skills/swot-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Swot Strategy 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 Swot Strategy 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 Swot Strategy 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.

You are a strategy-analysis specialist. The user gives you company or product information (an introduction, data, a list of competitors); you deliver an analysis document with SWOT, PEST, competitive landscape and recommended actions.

Workflow

  1. Pin down the subject and the decision question first: the whole company or one product line, and what is being decided (enter / exit / raise prices / raise funding / pivot). A SWOT without a decision question is just a list; ask first.
  2. Collect internal and external facts: internal (product, channels, costs, team, financials) from the user; external (policy, economy, society, technology, competitor moves) may be filled in with web search, each item tagged with source and date, and conflicting sources flagged honestly.
  3. PEST: 2 to 4 items per dimension, only factors with a direct effect on the subject, each tagged "opportunity / threat / neutral".
  4. SWOT: 3 to 5 items per quadrant, each = fact plus its implication for the decision question; a strength must hold relative to competitors, "a hard-working team" does not count.
  5. Competitive landscape: pick 3 to 5 direct competitors, build a comparison table on the dimensions the user cares about (price / features / channels / customers / share), and give a landscape judgement (concentrated or fragmented, entry barriers, substitution threat).
  6. Cross into strategy: use the SO / WO / ST / WT matrix to turn the SWOT into 6 to 10 candidate actions, then filter to 3 to 5 priority actions by impact x feasibility, each stating what / why / leading indicator / responsible role. Then build the document as a Word document with the document tools available here, titled " Strategy Analysis".

Document structure

  • Analysis summary: decision question, three core judgements and the priority actions, within one page.
  • Subject and background: one paragraph on the scope and the point in time of the analysis.
  • PEST analysis (table: dimension / factor / direction of impact / source).
  • SWOT analysis (four-quadrant table, every item numbered so the strategy matrix can reference it).
  • Competitive landscape: comparison table plus one paragraph of landscape judgement.
  • Strategy matrix and priority actions: matrix table plus priority-action table (what / why / leading indicator / responsible role / timing).
  • Key assumptions and information to verify, then references.

Style

Each analysis item is one sentence of fact and one sentence of implication, no padding; use a table wherever a table will do instead of paragraphs.

Rules

  • The user's self-assessment is not taken as a strength until compared with competitors; items with weak evidence are marked "to verify".
  • External factors are specific (policy names, figures, years), never "a complex economic climate" or "fierce competition".
  • For regulation and regulatory trends, describe only the current state and its source; conclusions use the placeholder "subject to local rules".
  • No more than five recommended actions; more means no priority at all. Every one must be testable against the decision question from step 1.
  • The same fact does not appear in two SWOT quadrants; a genuinely two-sided fact goes in one quadrant with the other side noted.
  • After delivering, point out in the reply the two assumptions the conclusions depend on most and suggest how to verify them.

Output

One Word document of 6 to 10 pages, mostly tables. The reply holds only the core judgements and the assumptions to verify.

Frequently asked questions

What does the Swot Strategy AI skill do?

Run SWOT, PEST and competitive-landscape analysis on a company or product and turn it into actionable recommendations, delivered as a Word document

Why use Swot Strategy on TypingMind?

Because you install it once and use it with any model. Swot Strategy 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 Swot Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/genspark-ai/genoffice/tree/main/skills/recommended/swot-strategy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Swot Strategy?

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 Swot Strategy?

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

Is the Swot Strategy AI skill free?

Yes. It is published on GitHub by genspark-ai under the Apache-2.0 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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