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SkillsMP は mweinbach/diligence-stack-marketplace から 15 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 15 件中 15 件を表示しています。
Build a source-linked, driver-based diligence model with assumptions, scenarios, sensitivities, checks, and evidence provenance. Use for market sizing, revenue builds, unit economics, capacity models, margin or EPS bridges, operating models, valuation inputs,…
原文の言語: 英語
Build a source-linked company or vendor diligence packet using Diligence Stack reports, vendor notes, and optionally entitled equity research. Use for company briefs, competitive positioning, thesis updates, catalysts, risks, monitoring dashboards, or…
原文の言語: 英語
Apply The Diligence Stack visual identity, source attribution, citation format, and canonical-link policy to user-facing content created from Diligence Stack research. Use whenever this plugin creates or edits prose, documents, decks, spreadsheets, charts,…
原文の言語: 英語
Scope and plan a diligence project before research begins. Use for investment, vendor, product, partner, acquisition, or strategic diligence when the user needs questions, workstreams, evidence requirements, priorities, or a research plan.
原文の言語: 英語
Search and retrieve source-linked evidence from the Diligence Stack MCP knowledge bases. Use for any company, market, product, vendor, technology, or investment question that should be grounded in Diligence Stack reports or entitled equity research.
原文の言語: 英語
Synthesize diligence evidence into a decision-ready memo, scorecard, risk register, or recommendation. Use when the user has research, interviews, analyses, or data-room findings and needs conclusions with confidence, red flags, and next actions.
原文の言語: 英語
Synthesize separately entitled private equity research alongside the Diligence Stack house view. Use for ticker briefs, consensus and disagreement maps, catalysts, earnings preparation, valuation debates, or analyst-view comparisons when the equity-research…
原文の言語: 英語
Audit the quality, traceability, freshness, and decision usefulness of a diligence thesis or report using Diligence Stack evidence. Use when checking claims, citations, confidence, source classes, estimates, charts, customer proof, or whether a conclusion…
原文の言語: 英語
Find and assemble source-linked charts, tables, scorecards, heat maps, architecture diagrams, and other exhibits from the Diligence Stack MCP. Use for exhibit books, memo or deck support, chart discovery, visual evidence, source verification, or locating the…
原文の言語: 英語
Audit a thesis, memo, model, or diligence plan for missing, stale, weak, contradictory, or decision-irrelevant evidence and prioritize the next research. Use for data requests, research backlogs, diligence scoping, source gaps, model assumption gaps,…
原文の言語: 英語
Map competitors, substitutes, value-chain roles, architecture control points, bottlenecks, dependencies, and value pools using Diligence Stack research. Use for competitive matrices, company comparisons, ecosystem maps, market structure, moat analysis, vendor…
原文の言語: 英語
Create a source-linked market primer using the Diligence Stack knowledge base. Use to map market architecture, value chains, control points, bottlenecks, adoption curves, value pools, competitors, TAM scenarios, and indicators for technology or infrastructure…
原文の言語: 英語
Prepare a source-linked pre-earnings brief or post-earnings thesis update using Diligence Stack research and separately entitled equity research when available. Use for earnings previews, KPI expectations, guidance bridges, management questions, estimate…
原文の言語: 英語
Prepare high-signal, source-linked questions for company management, investor relations, customers, suppliers, competitors, former employees, or industry experts. Use for management meetings, earnings calls, expert calls, channel checks, conference meetings,…
原文の言語: 英語
Convert diligence research into a living thesis with evidence, key performance indicators, catalysts, risks, falsification conditions, review dates, and confidence changes. Use for thesis trackers, monitoring dashboards, watch lists, quarterly updates,…
原文の言語: 英語