Retrospective trade review + improvement coaching for the user's Senpi trading. Answers "did I sell too early or late", "what did I miss this week", "master my week", "compare my trades to the market / to the best whales", "how could I make more gains", "suggest improvements", "review my trades", "am I getting shaken out too early / how are my exits firing", "what did my own limits block / what couldn't I take", "where am I leaking", "walk me through / explain my [asset] trade", "what am I paying in fees / maker vs taker", "why is [strategy] losing". When the user has NOTHING to review yet, `meta.book_state` routes it: nothing deployed -> read the market (senpi-market-pulse) then shortlist a fit (senpi-strategy-discover); deployed-but-idle -> diagnose THAT strategy, never pitch another. A hidden engine (scripts/review.py) reconstructs every CLOSED trade from discovery, enriches each exit reason + blocked signals from the runtime telemetry event log, computes the honest "if I'd held to now" counterfactual, and crosses the book against what the market did — you narrate it under strict guardrails: process over outcome (lead with the aggregate, not the one reversal), it's the STRATEGY not the user, NO fabricated "+$X/week", no performance-chasing, honest sourcing (onchain facts = discovery, exit reason / blocked / leaks = telemetry), and the user chooses how deep the fix goes. Composes senpi-market-pulse (movers), senpi-smart-money (whales), and senpi-portfolio (live state). Requires a USER-scoped Senpi token.
cp -r cryptoskill/skills/exchanges/senpi-ai-senpi-improve-trades .claude/skills/clawhub install senpi-ai-senpi-improve-tradesCapabilities below are detected automatically by an open-source scanner that reads the skill's text and scripts (see how this is computed). Not measured means the scanner couldn't make a confident call — it is NOT a green check, and you should treat it as a possible red flag until a human or a stronger scanner has measured it.
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