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Strategic Reading

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garrytan
strategic-reading

Read a book, article, transcript, or case study through the lens of a specific strategic problem you're facing. Produces an applied playbook that maps the source onto the problem and gives short/medium/long-term recommendations. NOT for general book summaries.

Overview

Publishergarrytan
Repositorygbrain
Skill namestrategic-reading
Stars
30.1K
Forks
4.5K
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 garrytan on GitHub. Read the source before you install it.

Installation

Install the Strategic Reading 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/garrytan/gbrain.git /tmp/gbrain
mkdir -p .claude/skills
cp -r /tmp/gbrain/plugin-variants/gbrain-daily/skills/strategic-reading .claude/skills/strategic-reading
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategic Reading 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 Strategic Reading 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 Strategic Reading 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.

strategic-reading — Applied Analysis from Source Texts

Convention: see conventions/quality.md for citation rules (every recommendation cites the source) and back-link enforcement.

Convention: see _brain-filing-rules.md — output files by primary subject (concepts/ for general strategy, projects/ for problem-tied playbooks).

What this is

Take a large text PLUS a specific strategic problem, produce analysis that maps the text's insights onto the problem. This is not book summarization. This is reading with a mission.

Where book-mirror personalizes a book to the reader's whole life, strategic-reading personalizes it to ONE current problem. Same shape (extract → analyze → mirror), different lens.

Canonical example: a power-dynamics history book read against a specific gatekeeper-vs-incumbent fight, producing a tactical analysis that maps the book's playbook onto the situation with counter-tactics and a short/medium/long-term playbook.

Inputs

  1. Source text — book (EPUB/PDF), article, transcript, historical case study, any large document.
  2. Strategic problem — the specific situation to analyze through the lens of the text. The user describes this explicitly or it's obvious from context.

Output

The brain page is the artifact. PDF is a rendering, never primary.

Brain page structure

markdown
# [Source Title] — Applied to [Problem]

> One-paragraph executive summary: how the source maps to the situation,
> the key insight, the bottom line.

## The Core Parallel
How the source's central dynamic maps onto the user's situation.

## Chapter / Section Triage
For each major section of the source:
- 2-3 sentence summary of what it says
- Relevance to the problem: HIGH / MEDIUM / LOW
- One directly applicable quote (if any)

## The Source's Playbook
The author's framework, tactics, or strategies — organized as:
- What the protagonist DID (tactics)
- What WORKED and why
- What FAILED and why
- What OPPONENTS did that was effective

## Counter-Tactics
Specific moves from the source that map to the user's situation:
- What to DO (with source evidence)
- What to AVOID (with source evidence)
- What to WATCH FOR (warning signs from the source)

## Applied Playbook
The synthesis — actionable recommendations:
- **Short-term** (this week / this month)
- **Medium-term** (this quarter)
- **Long-term** (this year+)

## Key Quotes
Direct quotes from the source that are devastatingly relevant.
Maximum 5-10. Quality over quantity.

## See Also
Links to relevant brain pages (related concepts, related projects).

Process

Phase 1: Ingest the source
  ├── EPUB: extract chapters via BeautifulSoup (see book-mirror SKILL.md
  │   for the extraction pipeline)
  ├── PDF: pdftotext -layout
  ├── Article: web_fetch
  └── Identify Table of Contents and total size.

Phase 2: Triage chapters
  ├── Read first 2000 chars of each chapter.
  ├── Classify relevance to the problem (HIGH / MEDIUM / LOW).
  └── HIGH chapters get full reads. MEDIUM partial. LOW skipped.

Phase 3: Deep read HIGH chapters
  ├── Tactics and strategies used.
  ├── Power dynamics and how they shifted.
  ├── Specific quotes that map to the problem.
  └── Moments where the protagonist's approach succeeded or failed.

Phase 4: Synthesize
  ├── Map source insights onto the specific problem.
  ├── Build the playbook (do / avoid / watch for).
  ├── Generate short/medium/long-term recommendations.
  └── Select the most devastating quotes.

Phase 5: Write and deliver
  ├── Write the brain page at the right location:
  │     • If problem-specific: projects/<slug>/playbook.md
  │     • If general strategy: concepts/<slug>.md
  ├── put_page via the standard CLI flow.
  └── Optional: render to PDF via skills/brain-pdf.

Quality bar

  • Every recommendation must cite the source. Don't say "go direct to the mayor" — say "go direct to the mayor, because when the protagonist refused to be intimidated by a resignation threat (Ch 48), the bluff that worked on five mayors finally failed."
  • Direct quotes are mandatory. The source's own words carry more weight than paraphrase.
  • The analysis must be actionable. Not "this is interesting" but "do this, avoid that, watch for this."
  • Short/medium/long-term breakdown is mandatory. The user needs to know what to do tomorrow AND what to do this year.

What this skill is NOT

  • Not a book summary tool. Use a different skill (or book-mirror for personalized analysis) for general summaries.
  • Not a research tool. Use perplexity-research for finding new information about a topic.
  • Not academic literary analysis. No one cares about literary merit — only strategic application.

Related skills

  • skills/book-mirror/SKILL.md — book personalized to whole life (vs problem)
  • skills/perplexity-research/SKILL.md — current-intel cross-reference for fresh data
  • skills/conventions/quality.md — citation + back-link rules

Contract

This skill guarantees:

  • Routing matches the canonical triggers in the frontmatter.
  • Output written under the directories listed in writes_to: (when applicable).
  • Conventions referenced (quality.md, brain-first.md, _brain-filing-rules.md) are followed.
  • Privacy contract preserved: no real names, no fork-specific filesystem path literals, no upstream-fork references.

The full behavior contract is documented in the body sections above; this section exists for the conformance test.

Output Format

The skill's output shape is documented inline in the body sections above (see "Output", "Brain page format", or equivalent). The literal section header here exists for the conformance test (test/skills-conformance.test.ts).

Anti-Patterns

The full anti-pattern list is in the body sections above; this header exists for the conformance test if the body uses a different casing.

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 Strategic Reading AI skill do?

Read a book, article, transcript, or case study through the lens of a specific strategic problem you're facing. Produces an applied playbook that maps the source onto the problem and gives short/medium/long-term recommendations. NOT for general book summaries.

Why use Strategic Reading on TypingMind?

Because you install it once and use it with any model. Strategic Reading 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 Strategic Reading in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/garrytan/gbrain/tree/master/plugin-variants/gbrain-daily/skills/strategic-reading. 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 Strategic Reading?

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 Strategic Reading?

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

Is the Strategic Reading AI skill free?

Yes. It is published on GitHub by garrytan 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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