Phase 2 research tools: market sizing, competitive landscape, moat assessment, TAM/SAM/SOM, DDR generation, and structured screening.
Triggers when converting a competitive landscape, market mapping, or M&A target spreadsheet into a board-ready executive deliverable. Preserves the raw research sheet and adds a second sheet that compresses each cell while preserving the full rating + key evidence — fidelity over brevity. Verdict-led layout, Pattern brand styling, and consulting-grade formatting. Mines the rating-and-rationale source format produced by the Pattern competitive landscape pipeline.
Build a rigorous, evidence-based assessment of a company's competitive moat — the structural advantage that allows it to earn above-market returns sustainably. Use this skill whenever Ian asks to "assess the moat," "analyze competitive advantage," "how defensible is this business," "what protects this company," "evaluate the moat," "is this moat real," "rate the competitive position," or "what makes this business hard to displace." Also triggers for: "switching cost analysis," "network effect analysis," "competitive defensibility," "moat durability," "barrier to entry." This skill builds the affirmative case for a moat with the specific evidence standard required to survive adversarial IC scrutiny. It is distinct from: - Competitor profiling (market-research Level 2 — describes what competitors do) - Moat attack vectors (red-team-investment-attacks.md — challenges moat claims) - Moat type taxonomy (mckinsey-consultant Dimension 4 — lists moat categories) This skill owns the methodology for PROVING a moat is real, measuring its strength, assessing its durability, and producing an IC-ready moat verdict.
Generate or customize a comprehensive Due Diligence Request List (DDR) for PE buyout or M&A sell-side transactions. Use this skill whenever the user mentions due diligence, a DDR, data room requests, diligence checklist, or wants to prepare or tailor a request list for a deal. Trigger even if the user just says "I need a DDR for [company]", "help me build out diligence questions for [deal]", or "customize this request list." This skill covers full DDR generation from scratch given a company description, and targeted customization of an existing DDR to a specific business model, sector, and deal context.
Execute professional-grade market research projects using a structured, hypothesis-driven methodology. Use this skill whenever Ian asks to conduct market research, build a research brief, run a market analysis, size a market, profile competitors, or produce a research deliverable for any deal, product, or strategic initiative. Trigger even for partial requests like "help me build a brief for X", "what's the market look like for Y", "I need a research plan", "run diligence on this market", or "put together a research framework." This skill governs the full research workflow — from brief creation through pyramid analysis, theme development, report architecture, and the mandatory iteration loop — to final DOCX or PPTX output. Integrates with mckinsey-consultant (analytical methodology), writing-style (prose and claim discipline), claim-scrutinizer (logic redline), red-team (adversarial pass), and pattern-docx / pattern-investment-pptx (file output). Does not duplicate logic owned by those skills.
McKinsey-level structured consulting methodology for strategy, analysis, and problem-solving. This is the analytical OS — load it for any strategy work, investment evaluation, structured diagnosis, framework design, or McKinsey-style document. It owns all analytical methodology: 7-step MBB problem solving, MECE issue trees, 7 strategy dimensions, Pyramid Principle, Six Screening Questions for investments, and all analytical modules (Porter's, SWOT, market sizing, positioning maps, value chain). It does NOT govern evidence gathering or source validation — that is market-research's job. For any task that requires original data collection (market sizing, competitive intelligence, customer research), invoke market-research on top of this skill. For financial modeling, use financial-model-builder. For PPTX/docx output, use pattern-investment-pptx or pattern-docx.
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Pattern's modular skill architecture for Claude. Each skill is a folder containing a SKILL.md file that instructs Claude on methodology, output format, and quality standards for a specific domain. Skills are loaded on-demand — Claude reads the relevant SKILL.md before executing any task in its domain.
31 skills across 8 groups and 4 functional layers, plus 2 multi-agent pipelines. Every formal output runs through at least two layers — usually three or four. Layers are not optional — skipping a layer produces a draft, not a deliverable.
Source of truth: This README reflects the folders in
ian-lawrence423/Claude-skills. Update this file whenever skills are added or removed from the repo.
The skill library has four functional layers. The mandatory sequence for any formal output:
Critical: Never trigger a document production skill without running the quality layer first. A file produced without
writing-styleandclaim-scrutinizerwill fail thedoc-quality-checkerpass and require a full rebuild.
| Layer | Skills | What It Owns | When It Runs |
|---|---|---|---|
| 1 — Analytical OS | mckinsey-consultant | Problem structuring, MECE trees, frameworks, claim labeling (F/E/H), Six Screening Questions | Always active for strategy or investment work |
| 2 — Research | market-research, ntb-diligence, ic-memo, competitive-moat-assessment, executive-summary-writer, driver-tree, tam-sam-som-calculator, statistics-fundamentals, finance-metrics-quickref, gtm-metrics-analyzer | Evidence gathering, research workflow, deliverable architecture, metrics analysis | When research or a specific deliverable type is needed |
| 3 — Quality | writing-style ⚙️, claim-scrutinizer, red-team, pre-mortem, boundability | Prose standards, claim testing, adversarial stress-testing, failure mode enumeration | During drafting (writing-style) and after draft (all others) |
| 4 — Production | pattern-docx, pattern-investment-pptx, diligence-ddr, financial-model-builder, executive-briefing, written-communication, giving-presentations | Branded file output in correct format with header/footer/logo | Final step — after analytical and quality layers complete |
| 4b — QA | doc-quality-checker ⚙️ | Brand compliance, formatting, internal consistency, draft artifact language check | Auto-runs after every Layer 4 file output |
These two skills execute on every relevant output without being explicitly invoked:
| Skill | Auto-Runs When... |
|---|---|
writing-style | Any final or near-final formal output — memos, reports, investment theses, PPTX narrative text |
doc-quality-checker | After any pattern-docx or pattern-investment-pptx file is produced |
All other skills are invoked by name when the task matches their trigger criteria.
All 31 skills organized by group. Invoke the most specific skill first; fall back to broader skills if needed.
npx claudepluginhub ian-lawrence423/claude-skills --plugin deal-researchProvision direct cloud access (Vertex AI, Bedrock, or LLM gateway) for the Claude Office add-in. Generates the customized add-in manifest, walks through Azure admin consent, and writes per-user config via Microsoft Graph extension attributes.
Investment banking productivity tools: client and market insights, deck creation, financial analysis, and transaction management
Equity research tools: earnings analysis, initiating coverage reports, and research workflows
Core financial modeling and analysis tools: DCF, comps, LBO, 3-statement models, competitive analysis, and deck QC
S&P Global - Financial data and analytics skills including company tearsheets, earnings previews, and transaction summaries
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,561 supported skills.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer