skills/strategic-reading/SKILL.md
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.
npx skillsauth add garrytan/gbrain strategic-readingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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).
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.
The brain page is the artifact. PDF is a rendering, never primary.
# [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).
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.
book-mirror for
personalized analysis) for general summaries.perplexity-research for finding new
information about a topic.skills/book-mirror/SKILL.md — book personalized to whole life (vs
problem)skills/perplexity-research/SKILL.md — current-intel cross-reference
for fresh dataskills/conventions/quality.md — citation + back-link rulesThis skill guarantees:
writes_to: (when applicable).quality.md, brain-first.md, _brain-filing-rules.md) are followed.The full behavior contract is documented in the body sections above; this section exists for the conformance test.
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).
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.
tools
Validate and auto-repair YAML frontmatter on brain pages. Catches malformed pages before they enter the brain (missing closing ---, nested quotes, slug mismatches, null bytes, empty frontmatter, YAML parse failures). Wraps the `gbrain frontmatter` CLI for agent-driven workflows.
data-ai
Trace one idea's evolution through the brain: first mention, best articulation, related concepts, reversals, contradictions, abandoned branches, and the current live version. Use for single-idea conceptual lineage, not broad concept-map synthesis or structured entity metrics.
data-ai
Route to Venus (sharp executive-assistant voice persona). Used for logistics — calendar, tasks, recent messages, brain lookups — at sub-second phone-call latency. The default voice persona unless DEFAULT_PERSONA=mars is set.
tools
Route to Mars (introspective thought partner / demo showman voice persona). Used when the operator wants depth, meaning, or impressive social demos rather than logistics. Mars handles SOLO mode (philosophy, presence, patterns) and DEMO mode (tool-driven showmanship) automatically.