Flows Watch (ETF/Derivatives)
Summarize ETF net flows and derivatives context (OI Δ, funding, basis, skew, liquidation bands) from local JSON/CSV drops. Use at open/close or when assessing leverage resets.
npx skills add majiayu000/claude-skill-registry --skill flows-watch --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Flows Watch ## Instructions 1) Read latest files: - data/derivs/*.json - data/etf/*.csv 2) Extract: ETF_net($), BTC_OI_Δ%, ETH_OI_Δ%, Funding (sign+magnitude), Basis (annualized), 25Δ skew, Largest liquidation price bands (range + est. size). 3) Output a compact dashboard + three scenarios (bull/bear/base) ≤60 words. 4) Tag "Leverage Reset" if OI −15% in 24h or liquidations > $3B with funding flip neg→pos.
- Instructions
What does the Flows Watch (ETF/Derivatives) skill do?
Summarize ETF net flows and derivatives context (OI Δ, funding, basis, skew, liquidation bands) from local JSON/CSV drops. Use at open/close or when assessing leverage resets.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill flows-watch --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.