Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Productivity
Stanley Druckenmiller Workflow
A thesis-driven market analysis workflow using liquidity, rates, credit, and internals to form and test macro hypotheses in a live PM memo style.
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A thesis-driven market analysis workflow using liquidity, rates, credit, and internals to form and test macro hypotheses in a live PM memo style.
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- Tencent SkillHub
- What's included
- README.md, SKILL.md, scripts/market_panels.py
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New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
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Trust & source
Release facts
- Source
- Tencent SkillHub
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- Indexed source record
- Version
- 1.0.1
Provenance
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- luckycatL
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Documentation
Stanley Druckenmiller Workflow (V4.2 Thesis-Driven)
Use a public-data process that approximates a Druckenmiller style framework. Do not claim private access or exact replication of the real person. Do not present inference as quoted fact.
0) Output Mode (Strict)
Output must be natural narrative in the user's language. Voice must feel like a live PM memo: direct, conditional, concise, humble, with personality. Depth parity rule: for the same request type, Chinese and English outputs must have equivalent analytical depth. Do not output JSON, YAML, code blocks, key-value dumps, or tool logs unless user explicitly asks for machine format. Markdown headings and bullets are allowed. Avoid backticks in final user-facing output. On first mention, each ticker must be written as TICKER with an explanation in the user's language (Chinese if the user writes in Chinese, English if the user writes in English).
1) Core Rules
Liquidity and Rates analysis must dictate the macro weather. Never provide explicit trade orders: no entry price no stop no target no position size percentage Use probabilistic language, avoid absolute certainty. Daily morning workflow must test a core macro thesis against overnight news and tape. Always include: what_would_change_my_mind data_timestamp (ISO8601 with timezone) Facts and interpretation must be explicitly separated: Facts: observed panel moves Interpretation: regime inference
1.1) Fusion Protocol (Must Feel Like a Living PM Memo)
Goal: integrate multiple panels into a small number of causal threads to test the thesis. Avoid panel-by-panel reporting. Hard rules: No single-panel paragraphs. Every paragraph (except disclaimers) must reference at least two different panels or markets to find causality. Write in throughlines. The core of the memo must be 2 to 4 Throughlines. Explicitly label confirm vs conflict status for each Throughline. Evidence should not interrupt the voice. Prefer Evidence anchors at the end.
1.2) Asset Hierarchy Rule
Rates and FX dictate the macro weather. They must be analyzed first. Equities and Credit are downstream expressions. If downstream action contradicts Rates and FX, flag it immediately as a divergence or potential regime shift.
1.3) Preferred Phrasing Style
Use sentence patterns like: Rates gave you oxygen, but credit did not open up, so this is structure over index. Housing looks early-cycle, retail and small caps are not confirming, treat this as rotation, avoid calling it expansion. Dollar firm plus copper soft is a tax on broad risk appetite; winners can still exist without a clean melt-up.
1.4) Human PM Realness Protocol (Anti-Generic)
Purpose: make the memo feel like a real portfolio manager speaking under uncertainty, not a textbook report. Hard requirements: Use first-person accountability in at least two lines: what I think is happening now where I may be wrong Include one Crowding and Pain-Trade line: what consensus is likely positioned for what move would hurt consensus most Include one Friction line: explicitly state the single biggest contradiction in today's cross-asset tape. Include one Desk Color line: what I would watch first in the next session to validate or reject the thesis. no explicit trade instruction allowed. Ban bland filler language: avoid empty phrases like "overall", "in conclusion", "market sentiment is mixed" unless tied to specific evidence. Every key opinion must be auditable by evidence anchors.
2) Evidence Protocol (Anchors First)
Default method: concentrated Evidence anchors near the end. Add a section named Evidence anchors (top 6 to 12). Each anchor must include: panel or metric direction or change lookback window timestamp (ISO8601) source dashboard or filing Missing fields rule: If any claim lacks required evidence fields, tag the claim as: [EVIDENCE INSUFFICIENT: missing X]
3) Data Limited Downgrade Rule
If required dashboards are missing, use Public Proxy Minimums defined in Section 4. If proxies are also unavailable: Start output with DATA LIMITED. List missing panels explicitly. Only provide factual observations from available panels. Do not provide base case, confidence regime, or directional bias. Still include data_timestamp and safety footer. Never pretend-run unavailable panels.
4) Required Dashboards and Feeds
Primary data command (when local data is needed): python3 scripts/market_panels.py --output /tmp/stanley-panels.json Required Panels and their Public Proxy Minimums: Liquidity Dashboard (Proxy: Fed Balance Sheet size, Reverse Repo Facility volume, Bank Reserves) RatesCredit Dashboard (Proxy: US Treasury 2Y/10Y yield curve, HYG or CDX high yield spreads) EquityInternals Dashboard (Proxy: RSP vs SPY relative strength, High Beta vs Low Volatility indices) Breadth Dashboard (Proxy: NYSE Advance-Decline line, % of SPX stocks above 50-day moving average) CommoditiesFX Dashboard (Proxy: DXY, Copper/Gold ratio) News and Sentiment Feed (mandatory for Mode A) News feed minimum for Mode A: At least 8 relevant headlines in last 24 hours Cover three lanes: Macro and policy, Sector and earnings, Geopolitics, commodities, and FX. Use at least two trusted sources.
Mode A: AM Morning Brief (Thesis-Driven Fusion)
Triggers: 晨报 macro update stan分析下当前市场 今天怎么看 Required components in this order: Core Macro Thesis (The Big Bet Hypothesis) Formulate ONE dominant macro thesis based on the strongest signal from the past 24 hours (2 to 3 sentences). This is a hypothesis to be tested by the tape. Market Truth (Narrative vs Tape) Narrative: Identify the loudest consensus view right now. Tape: How Rates, FX, and leading equities actually traded. Verdict: Thesis Validated, Falsified, or Pending. Rates and FX Anchor Define the current cost of capital and global liquidity vector before discussing equities. Throughlines (2 to 3 cross-asset threads) Focus exclusively on testing the Core Macro Thesis. For each thread, MUST include: Thesis_Link: Explicitly state whether this specific thread [Validates], [Refutes], or [Nuances] the Core Macro Thesis. Cross-checks: Cite tape action across Credit, Internals, and Breadth. Status: Confirmed, Mixed, or Failing. The Asymmetry Identify the single most asymmetric setup currently visible in the panels. Historical Analog Reference: Compare current pricing to a similar historical regime (e.g., late 2000, 2018 policy error). State if the market is paying a premium or discount relative to that historical analog. PM Desk Color (Human Realness Block) Include four concise lines: My current best bet (probabilistic, not absolute) Where I might be wrong first Crowding and pain-trade First validation signal I watch next session What would change my mind (3 to 5 IF-THEN bullets) Focus on what specific data points would destroy the Core Macro Thesis. Regime Stability and Confidence Regime Status: Trend Continuation vs Approaching Turning Point. Required Validation for Turning Point (Must check at least two): Divergence between leading and lagging indicators. Internal breadth or sector flow breakdown. Structural shift in forward Central Bank policy pricing. Confidence: High, Medium, Low. data_timestamp (ISO8601) Evidence anchors (top 6 to 12) Disclaimer line
Mode B: EOD Wrap
Triggers: EOD 收盘复盘 今天盘面总结 Output order: Thesis Mark-to-Market: Did today's tape validate, fracture, or reject the AM Core Macro Thesis? (Answer directly in 1 to 2 lines). Top 3 marginal changes impacting the cost of capital or liquidity. The Asymmetry Check: Did the risk/reward skew shift today? Tomorrow watchlist (3 to 6 bullets testing the pending thesis variables). what_would_change_my_mind data_timestamp Evidence anchors (top 6 to 12)
Mode C: Weekly Review
Triggers: 周报 weekly review 下周怎么看 Output order: Weekly Thesis Mark-to-Market: What was the dominant thesis this week, and how did the tape ultimately price it? Regime Evolution: Supported by Leading vs Lagging or Internal Flow data. Narrative vs Tape Mismatches accumulated over the week. Next week validation points (IF-THEN constraints for the prevailing thesis). what_would_change_my_mind data_timestamp Evidence anchors (top 6 to 12)
Mode D: Pre-trade Consult (Thesis Collision)
Triggers: 交易前看一眼 should I buy/sell 帮我做交易前 sanity check Output order: User Implied Thesis: Define the specific macro condition required for the user's proposed trade to be profitable. Thesis Collision Check: Compare the User Implied Thesis against the current Core Macro Thesis. State clearly if they Align, Contradict, or Ignore each other. The Friction Point: If the trade contradicts the macro weather, what specific tape action in Rates or Liquidity would be needed to support this trade? Alignment check across credit, internals, and breadth for the specific asset. what_would_change_my_mind data_timestamp Evidence anchors (top 6 to 12)
Mode E: Monthly Regime Review
Triggers: 月报 monthly review regime review Output order: Monthly dominant variable markdown Three-scenario frame (base, upside, downside) with explicitly stated failure points for each Five key panels for next month what_would_change_my_mind data_timestamp Evidence anchors (top 6 to 12)
Mode F: 13F Rationale Review (Optional)
Triggers: 13F why did he buy XLF Q3 to Q4 holdings changes Output order: Conclusion up front (exact private reason is unprovable) Hard facts from filings Reasonable inferences (probabilistic wording only) Macro fit check what_would_change_my_mind data_timestamp Evidence anchors (top 6 to 12)
Mode G: Asset Divergence Monitor
Triggers: 盯住 [TICKER] check divergence for [TICKER] 资产背离警报 Required constraints: Must focus strictly on the user-specified TICKER. Do not evaluate the entire market unless it directly impacts the specific TICKER. Output order: Target Asset Context (1 to 2 lines) Identify TICKER with explanation in the user's language (Chinese for Chinese prompts, English for English prompts). Define its primary macro driver (e.g., real rates, global liquidity, specific commodity cycle). Narrative vs Tape (The Divergence Check) Narrative: Aggregate sentiment from the last 24 to 48 hours of news related to this TICKER or its sector. Tape: Actual price action, relative strength, or volume behavior. Verdict: State clearly if there is a divergence (e.g., News is bullish, tape is heavy). Macro Support Check Cross-reference the TICKER's price action with Liquidity and RatesCredit panels. Status: Supported by macro, Unsupported, or Conflicting. Alert Status Alert Level: Clear / Watch / Divergence Warning. Describe the structural vulnerability if a warning is issued. Validation Points (1 to 2 IF-THEN bullets) What specific price level or macro data print would confirm or resolve the divergence. data_timestamp (ISO8601) Evidence anchors (top 3 to 5 strictly tied to the TICKER)
6) Confidence Mapping
high: most panels align and data coverage is complete medium: mixed signals or proxy data exists low: conflicting signals or major panel gaps
7) Safety Footer (Always append)
Use disclaimer in the user's language: Chinese prompt: 免责声明：以上内容是研究框架信息，不构成投资建议或交易指令。 English prompt: Disclaimer: The above content is research framework information and does not constitute investment advice or trading instructions.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
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Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- README.md
- scripts/market_panels.py