Wind Skills - Setup Guide¶
Source: skills.sh (174K+ combined installs)
GitHub: Wind-Alice/AliceMarket (108⭐, 14 forks, pushed Sep 10, 2026)
Category: Financial Data & Investment Research
First Seen: August 13, 2026 sweep (as wind-information-co-ltd/wind-skills); publisher renamed Sep 11, 2026 sweep - github.com/wind-information-co-ltd/wind-skills now 301-redirects to Wind-Alice/AliceMarket
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-alice/alicemarket
Publisher rename (Sep 11, 2026): the skills.sh source and GitHub repo moved from
wind-information-co-ltd/wind-skillstowind-alice/alicemarket(Wind-Alice/AliceMarket). Install commands referencing the old slug should be updated.
Core Skills¶
| Skill | Installs | Use For |
|---|---|---|
| wind-mcp-skill | 157.6K | MCP integration for Wind data access |
| wind-find-finance-skill | 24.5K | Finding the right Wind financial dataset |
| wind-alice | 3.1K | Wind's AI assistant (Alice) integration |
| post-market-debrief | 670 | End-of-day market summary generation |
| equity-investment-thesis | 569 | Thesis construction for equity positions |
| sector_rotation_radar_skill | 510 | Sector rotation signals |
| a-share-primary-theme-identification | 501 | A-share market theme detection |
| trade_plan_builder_skill | 418 | Trade plan construction |
| market_regime_switch_skill | 404 | Market regime detection |
| valuation-pricing-framework / valuation_snapshot_skill | 393 / 324 | Valuation: framework, snapshot |
| peer_comparison_decision_skill | 338 | Peer comparison decisions |
| theme_leader_identification_skill | 334 | Theme-leader identification |
| position_sizing_decision_skill / stop_loss_discipline_skill / take_profit_ladder_skill | 326 / 251 / 231 | Trade construction and risk discipline |
| breakout_candidate_finder_skill / pullback_opportunity_finder_skill | 298 / 278 | Entry-pattern scanning |
| bull_bear_case_builder_skill / business_model_decoder_skill | 278 / 275 | Thesis building |
| institutional_position_shift_skill / major_announcement_impact_skill | 273 / 273 | Event-driven research |
| high_quality_compounder_finder_skill / moat_strength_review_skill | 268 / 250 | Quality screening |
| conference_call_takeaway_skill / guidance_change_impact_skill / sec_filing_question_answer_skill | 232 / 203 / 202 | Earnings and filings research |
| industry_chain_signal_skill / macro_event_market_impact_skill | 228 / 188 | Macro and industry signals |
| avatar-warren-buffett-investing / avatar-charlie-munger-thinking / avatar-nassim-taleb-risk / avatar-naval-ravikant-thinking | 154 / 146 / 149 / 129 | Investor-persona reasoning lenses |
| market_sentiment_temperature_skill / market_breadth_health_skill / daily_watchlist_morning_brief_skill / intraday_abnormal_move_alert_skill | 149 / 146 / 148 / 147 | Sentiment, breadth, watchlist, alert workflows |
| premarket_trade_checklist_skill / theme_heat_tracker_skill / volume_spike_reasoning_skill | 121 / 119 / 114 | Premarket, theme-heat, volume-spike workflows |
| ~20 more workflow skills | 100-133 | Dip-buy, PEAD, dividends, buybacks, breakout execution, exits, earnings calendars, capital flows |
| (8 more) | <100 each | Long tail below the 100-install bar |
Full inventory: 71 skills indexed on skills.sh (Sep 15, 2026 snapshot) - 63 at 100+ installs, 8 below the bar; the repo ships the full Alice skill library. 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
Integration with CorpusIQ¶
CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.
This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.
Limitations / Verification¶
- Data access is gated by Wind credentials; the research skills work standalone with any data source
- Verify:
wind-mcp-skillMCP endpoint returns a dataset query successfully before relying on it