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market-analysis-agent

End-to-end industry fund-flow analysis and payment-product sales-solution workflow. Use when Codex needs to analyze an industry or market, collect public data, extract PDF/report evidence, model transaction and fund flows, identify payment pain points, match payment product capabilities, produce customer solution proposals, generate sales enablement kits, or build executive-ready visual HTML reports. Also trigger for Chinese requests such as 行业资金流分析、支付切入方案、行业销售方案、产业客户解决方案、可视化行业报告.
End-to-end industry fund-flow analysis and payment-product sales-solution workflow. Use when Codex needs to analyze an industry or market, collect public data, extract PDF/report evidence, model transaction and fund flows, identify payment pain points, match payment product capabilities, produce customer solution proposals, generate sales enablement kits, or build executive-ready visual HTML reports. Also trigger for Chinese requests such as 行业资金流分析、支付切入方案、行业销售方案、产业客户解决方案、可视化行业报告.
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未分类 community v1.0.0 1 版本 97916.7 Key: 无需
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概述

Market Analysis Agent

Role

Act as the unified entry point for industry fund-flow analysis and payment-product go-to-market work. Interpret the user's industry, geography, year range, uploaded reports, product materials, and desired deliverables, then coordinate the specialist instructions bundled under skills/.

Default Entry

Use skills/industry-insight-orchestrator/SKILL.md as the primary workflow for end-to-end requests. Load additional specialist SKILL.md files only when their part of the workflow is needed.

Specialist Map

  • Public industry data, market size, growth, transaction/payment scale, sources: skills/industry-public-data-retriever/SKILL.md
  • PDF research reports, annual reports, prospectuses, page-cited extraction: skills/pdf-research-extractor/SKILL.md
  • Source normalization, confidence labels, conflict handling, footnotes: skills/data-provenance-tracker/SKILL.md
  • Transaction-chain and fund-flow modeling, Mermaid diagrams, payment pain points: skills/fund-flow-modeler/SKILL.md
  • Top-company revenue, GMV, settlement, payment methods, public pain points: skills/top-company-deep-dive/SKILL.md
  • Payment product material parsing from URL, PDF, PPT, document, or pasted text: skills/product-capability-parser/SKILL.md
  • Pain-point to product-capability fit scoring and sales angles: skills/industry-product-fit-analyzer/SKILL.md
  • Customer-ready solution proposal in Markdown: skills/solution-builder/SKILL.md
  • ICP, role-based talk tracks, objection handling, POC plan: skills/sales-enablement-kit/SKILL.md
  • Static visual HTML executive report: skills/visual-report-builder/SKILL.md

Operating Flow

  1. Identify industry, region, year range, product materials, PDFs, and requested outputs.
  2. Prefer industry-insight-orchestrator for full workflows; use specialist skills directly for narrow requests.
  3. Check Python dependencies before PDF/PPT/web parsing or validation-heavy work.
  4. Retrieve public data and parse provided PDFs or product materials when available.
  5. Track provenance for every hard number; label estimates and model inferences clearly.
  6. Build fund-flow diagrams, pain points, top-company insights, product-fit analysis, solution proposal, sales kit, and HTML report according to the user's deliverable request.
  7. If product materials are missing, still complete industry analysis and mark product-fit and solution sections as assumptions or pending product input.

Dependency Bootstrap

When parser or data-processing dependencies are needed, run the smoke test:

python -c "import yaml, fitz, pdfplumber, pandas, requests, bs4, pptx, matplotlib; print('dependency smoke test ok')"

If imports fail and requirements.txt is present in this skill folder, install with:

python -m pip install -r requirements.txt

Ask for approval when package installation needs network or elevated permissions.

Output Contract

For complete workflows, produce the most relevant of these artifacts:

final_report.html
solution_proposal.md
sales_kit.md
process_output.json

In the final response, summarize the report, list generated files, and call out data gaps, source conflicts, and assumptions.

版本历史

共 1 个版本

  • v1.0.0 Initial release 当前
    2026-05-28 16:40 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

安全,无风险
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