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china-stock-research-orchestrator

china-stock-research-orchestrator

github.com/spikehonggProductivity18274 installsUpdated 33w ago
Repository

About china-stock-research-orchestrator

China Stock Research Orchestrator routes A-share company research into a suitable workflow before deep analysis. For structured equity research, it combines six core modules with optional sector overlays, while keeping facts, interpretation, and open questions distinct and linking key claims to sources.

Key features

  1. 01Select modules based on company analysis patterns
  2. 02Route mandatory, optional, and skippable modules
  3. 03Assess whether a sector overlay is needed
  4. 04Order the six core research modules
  5. 05Separate facts, interpretation, and open questions

Use cases

  1. 01Start a fresh A-share company deep dive
  2. 02Turn a broad stock-analysis request into a structured process
  3. 03Choose the core modules needed for deeper analysis
  4. 04Combine module outputs into a research framework

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/spikehongg/china-stock-research-skills --skill china-stock-research-orchestrator

After installing, type/china-stock-research-orchestratorin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
final-output-contract.md
routing-matrix.md
sector-overlay-escalation-rules.md

Details

From the project README

China Stock Research Orchestrator

Route an A-share company through the right research workflow before doing deep analysis.

Non-Negotiable Rules

  • Preserve strict separation between Facts, Interpretation, and Open Questions.
  • Require every key fact and number to carry an accessible source link.
  • Prefer official disclosures, regulators, and public official portals over media and commentary.
  • Use this skill to orchestrate the workflow, not to replace the six core modules.
  • Default every intermediate and final output to Simplified Chinese unless the user explicitly requests another language.

Read First

  • skills/shared/references/source-registry.md
  • skills/shared/references/citation-standard.md
  • skills/shared/references/company-disclosure-map.md
  • skills/shared/references/research-output-template.md
  • skills/shared/references/analysis-pattern-selector.md
  • skills/shared/references/language-output-standard.md
  • skills/china-stock-research-orchestrator/references/routing-matrix.md
  • skills/china-stock-research-orchestrator/references/sector-overlay-escalation-rules.md
  • skills/china-stock-research-orchestrator/references/final-output-contract.md

Required Inputs

  • Company name and ticker if available
  • Research objective or key question
  • As-of date if the user cares about a specific cutoff
  • Optional hints about industry, business model, or suspected issues

When to Use

  • Start a fresh A-share stock deep-dive.
  • Turn a vague request like "analyze this stock" into a structured workflow.
  • Decide which of the six core modules are necessary before going deep.
  • Merge module outputs into one consistent research framework.

Workflow

  1. Identify the company's primary and secondary analysis patterns with skills/shared/references/analysis-pattern-selector.md.
  2. Use skills/china-stock-research-orchestrator/references/routing-matrix.md to decide which core modules are mandatory, optional, or skippable.
  3. Decide whether a sector overlay is needed using skills/china-stock-research-orchestrator/references/sector-overlay-escalation-rules.md.
  4. Run the selected modules in the right order, usually strategy -> business -> financial -> industry -> risk -> valuation.
  5. Require each module to return mergeable 事实, 解读, and 待验证问题 blocks in Simplified Chinese.
  6. Merge the outputs using skills/china-stock-research-orchestrator/references/final-output-contract.md.

Required Output

  • 公司概览与路由决策: what patterns the company matches and why
  • 已选模块: which core skills are required and why
  • 已选 overlays: which optional overlays are loaded and why
  • 研究框架: merged 事实, 解读, 待验证问题, 监测指标, and 情景与估值钩子
  • 来源附录: the source set used and any evidence limitations

Core Modules Available

  • strategy-business-transition
  • business-decomposition-order-quality
  • financial-health
  • industry-competition-moat
  • risk-warning-catalysts
  • valuation-investment-strategy

Boundaries

  • Do not directly replace deep analysis inside the six core skills.
  • Do not invent a pattern match if evidence is weak; mark uncertainty in Open Questions.
  • Do not produce unsupported target prices or thesis conclusions.
  • Do not merge module outputs into a single-layer narrative; keep evidence layering intact.

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