Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Macro Regime Detector
Detect the current macro regime (Risk-On, Risk-Off, Inflationary, Deflationary, Stagflation) using multi-source intelligence. Combines Fear & Greed, DXY, yie...
skill openclawclawhub Free
Detect the current macro regime (Risk-On, Risk-Off, Inflationary, Deflationary, Stagflation) using multi-source intelligence. Combines Fear & Greed, DXY, yie...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- JamieRossouw
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Macro Regime Detector
Real-time macro regime classification for crypto and traditional asset positioning.
Regimes Detected
RegimeDescriptionCrypto PositioningA β Risk-On BullVIX <15, F&G >60, DXY fallingMax long, leverage OKB β Neutral/CoolingMixed signals, consolidationSelective longs, tighter stopsC β Risk-Off BearVIX >25, F&G <25, DXY risingReduce exposure, hedgeD β Inflationary SpikeCPI surprise, Gold/BTC spikeBTC as inflation hedgeE β StagflationHigh inflation + recession fearsDefensive: BTC, gold, cashF β Liquidity CrisisCredit spreads explode, correlation 1Exit all risk, stablecoin only
Signal Sources
Fear & Greed (alternative.me/fng): 0-100 score, regime anchor Reddit pulse: r/CryptoCurrency, r/investing hot posts, bearish/bullish ratio DXY proxy: BTC/USD inverse correlation check News NLP: major economic event detection (Fed, CPI, NFP, SEC) On-chain: BTC exchange flows, miner capitulation signals
How to Use
Ask: "What macro regime are we in?" or "Should I be long or short crypto right now?" Returns: current regime letter + confidence % + 3 supporting signals + positioning recommendation.
Regime History (current session)
Feb 21 2026: Regime B (Neutral/Cooling) | F&G=8, "Extreme Fear" | Contrarian bullish signal active
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md