NaCl63

Orderflow Claude Skill — Development skill for Claude Code

Development community

Evidence-graded order-flow & footprint skill for Claude.

How to install Orderflow Claude Skill

This entry records only its repository, not the path inside it, so there is no exact command to give. Open NaCl63/Orderflow-Claude-skill and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Orderflow Claude Skill does

Evidence-graded order-flow & footprint skill for Claude. Reads footprint, DOM, profile and CVD screenshots, separates what’s measured from what’s inferred, and shows what flow is actually useful for, without making trade calls.

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README

orderflow — an evidence-graded order-flow & footprint skill for Claude

Reads footprint and order-flow charts like a skeptical quant: splits measured data from inference, insists on location, and tells you which patterns have actually been tested (almost none have).

What it does

Reads chart screenshots (footprint, volume profile, DOM, heatmap, CVD, OI) with a fixed 10-step protocol: sides established from the legend or printed delta, never from colour; row size measured from the image; time zone never assumed; unreadable numbers flagged, not guessed.
Explains concepts: delta, CVD, diagonal and stacked imbalances, absorption vs stalls, finished/unfinished auctions, POC/value area/VWAP, OFI and why delta and price disagree.
Judges setups as falsifiable rule cards (13 of them): mechanism, conditions, entry, stop, failure modes, counterexample, evidence tier, test status.
BTC specifics: venue fragmentation, wash trading, funding, OI × delta labels as probabilities, liquidation cascades, spot vs perp.
Says what footprints are good for: a horizon map from ticks to hours, and the practical uses the evidence supports: diagnosing the move that just printed, reading liquidity to adjust risk, defining invalidation, filtering a setup that stands on its own (with a test procedure), and execution timing.
Vets claims from videos, courses and vendors against base rates and a checklist.

What it won't do

Give trade calls. Its directional lean defaults to "none" and it answers with conditional scenarios, plus what the chart is useful for at the horizon the evidence covers. It will not call a pattern "high probability" without a cited test.

Evidence it rests on

Peer-reviewed market-microstructure research (Cont, Kukanov & Stoikov; Gould & Bonart; Bouchaud et al.; Makarov & Schoar, and others; full list in `references/evidence.md`), plus the author's own event studies on Binance BTCUSDT 2020-2024 after fees, which found n