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Wind Skills — Setup Guide

Source: skills.sh (132.6K combined installs) GitHub: wind-information-co-ltd/wind-skills Category: Financial Data & Investment Research First Seen: August 13, 2026 sweep Quality Tier: 🟢 Production (data access) / 🟡 Beta (research skills)

Wind Information is China's Bloomberg-equivalent — the dominant financial data terminal for Chinese markets (A-shares, bonds, funds, macro). This official cluster gives agents two things: MCP-based access to Wind's data feeds, and a large library of investment-research workflows (DCF models, valuation snapshots, backtests, post-market debriefs, earnings analysis). The strongest signal for agent-native institutional finance from an Asian data vendor to date.

Installation

npx skills add wind-information-co-ltd/wind-skills

Core Skills

Skill Installs Use For
wind-mcp-skill 93.8K MCP integration for Wind data access
wind-find-finance-skill 24.5K Finding the right Wind financial dataset
wind-alice 2.2K Wind's AI assistant (Alice) integration
post-market-debrief 549 End-of-day market summary generation
equity-investment-thesis 450 Thesis construction for equity positions
backtest-expert 447 Strategy backtesting workflows
sector_rotation_radar_skill 422 Sector rotation signals
a-share-primary-theme-identification 420 A-share market theme detection
valuation-pricing-framework / dcf-model / valuation_snapshot_skill 264–297 Valuation: framework, DCF, snapshot
earnings-analysis / guidance_change_impact_skill / sec_filing_question_answer_skill 166–262 Earnings and filings research
position_sizing_decision_skill / position-sizer / stop_loss_discipline_skill / take_profit_ladder_skill 190–257 Trade construction and risk discipline
avatar-warren-buffett-investing / avatar-charlie-munger-thinking / avatar-nassim-taleb-risk / avatar-naval-ravikant-thinking 95–115 Investor-persona reasoning lenses
(63 more) <100 each Market regime, themes, breadth, announcements, PEAD, dividends, watchlists

Full inventory: 82 skills spanning data access, research, trade planning, and persona-based reasoning.

Prerequisites

  • Wind terminal account or Wind MCP access (data skills require credentials)
  • For A-share data: mainland China data-access terms apply

CorpusIQ Use Cases

  • Business-data connector parity — Wind's MCP pattern is a reference architecture for CorpusIQ's own multi-connector endpoint; study how they expose terminal data to agents
  • Finance vertical intelligence — research workflows (DCF, earnings analysis) as templates for finance-focused CorpusIQ users
  • Market-ecosystem insight — the persona-avatar skills show how established finance vendors package reasoning frameworks for agents

Limitations / Verification

  • Data access is gated by Wind credentials; the research skills work standalone with any data source
  • Verify: wind-mcp-skill MCP endpoint returns a dataset query successfully before relying on it