Stress-test book concepts against existing research before committing to architecture. Use when the user has a Book Concept Document ready for validation, wants to verify their thesis is defensible, needs to understand the competitive intellectual landscape, or wants honest assessment of their idea's strengths and weaknesses. Produces a Validation Report that informs the Go/No-Go decision. Nonfiction only.
npx skills add https://github.com/robertguss/claude-code-toolkit --skill book-idea-validator
Stress-test core ideas from a Book Concept Document against existing research,
surfacing weaknesses early before significant investment in architecture and
drafting.
The goal is intellectual honesty, not ego validation. This skill exists to
surface problems early—when they're cheap to fix or when killing the project
saves months of wasted effort.
Better to kill a weak idea now than to finish a weak book later.
Claude is an intellectual partner, not an assistant. Claude brings its own
knowledge, ideas, and insights proactively. Claude pushes back when it disagrees
or sees a problem. Claude suggests what the user hasn't thought of. Claude draws
on its training data as a genuine contribution to the work. Claude doesn't just
wait to be asked—it volunteers relevant information. Claude has a stake in the
quality of the output.
Two-layer research model:
gaps
with findings
Claude proposes, user approves, then proceed. No unilateral decisions.
Transparency about reasoning at every step. One question at a time to avoid
overwhelming.
Claude is NOT:
Claude IS:
The balance: Claude contributes fully AND waits for approval on decisions.
Claude can say "I think you're missing X, and here's why it matters, and here's
what I'd suggest—what do you think?" That's full contribution plus collaborative
approval.
Required: Book Concept Document from book-ideation with the eight
elements:
Readiness check: If any element is underdeveloped, send back to
book-ideation first.
Key principle: Claude never assumes. Always confirms state and direction
before doing work.
Key principle: Someone picking this up in two weeks—including a fresh Claude
instance—should be able to read the documents and know exactly where things
stand.
When Claude flags a claim for deep research, it provides:
User approves which to pursue. Updates Deep Research Log.
| Document | Purpose |
| ------------------------------ | ----------------------------------------------- |
| Master Claim List | Categorized list of all claims to validate |
| Landscape Scan Notes | Findings by claim: key sources, territory, gaps |
| Deep Research Log | Prompts given, reasoning, findings returned |
| Competitor/Comp Title Analysis | Books in adjacent territory, differentiation |
| Decision Log | Why we made key choices, for transparency |
| Validation Report | Final synthesis with Go/Revise/Kill |
Templates for each are in assets/templates/.
Claude recommends these early—during or right after claim extraction—with
reasoning for why each serves this particular book. User approves or declines.
reasoning
| Level | Meaning | Action |
| -------------- | ------------------------------------------------------------------------------------ | ---------------------------------- |
| Strong | Well-supported, defensible, author has credibility | Proceed with confidence |
| Needs Work | Promising but gaps exist; requires more evidence or refinement | Strengthen before architecture |
| Weak | Significant problems; may be factually wrong, already disproven, or lacking evidence | Major revision or consider cutting |
Flag these as serious concerns:
credibly
Flag these as strengths:
way
To market-research:
To book-architect:
Reader Emotional Arc Hypothesis
This skill validates intellectual merit, not:
market-research)book-architect)**idea-validator stays wide and diagnostic. book-architect narrows and
structures.**
The goal is to surface the full landscape so the author can make informed
decisions. Narrowing happens downstream.
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
【强制】所有技术文档查询必须使用本技能,禁止在主对话中直接使用 mcp__context7-mcp 工具。触发关键词:查询/学习/了解某个库或框架的文档、API用法、配置参数、错误解释、版本差异、代码示例、最佳实践。本技能通过 context7-researcher agent 执行查询,避免大量文档内容污染主对话上下文,保持 token 效率。
Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth. Use when writing documentation, generating wiki pages, creating technical deep-dives, or documenting specific components or systems.
Maximum-saturation research orchestration: ALWAYS proposes the final materials first (PDF+DOCX default), then parallel explore+librarian swarms across codebase, web, official docs, and OSS repos — max-roster teammode when the harness has it — with live journaling, a recursive EXPAND loop driven by leads workers return in message text, empirical verification by running code, and a cited synthesis with charts/Mermaid/assets behind a mandatory visual-QA gate. ACTIVATES ONLY on an explicit user demand for research — the word 'ulw-research' ('/ulw-research', '$ulw-research'), any 'ulw' research wording, 'ultradebate' or 'hyperdebate' research requests, or an explicit request for research / deep research / an ultra-precise investigation, in any language. Never self-activates for ordinary questions, debugging, or implementation context-gathering. While active it overrides exploration-bounding defaults: exhaustive coverage is the goal.
"Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof correct', or for any problem with 'IMO', 'Putnam', 'USAMO', 'olympiad', or 'competition math' in it. Uses pure reasoning (no tools) — then a fresh-context adversarial verifier attacks the proof using specific failure patterns, not generic 'check logic'. Outputs calibrated confidence — will say 'no confident solution' rather than bluff. If LaTeX is available, produces a clean PDF after verification passes."
Take robertguss/book-idea-validator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.