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.
$npx -y skills add senpi-ai/senpi-skills --skill senpi-improve-tradesInstalls into the current project.
Run `npx skills use "https://github.com/senpi-ai/senpi-skills" --skill "senpi-ai/senpi-skills/senpi-improve-trades"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/senpi-ai/senpi-skills" that are relevant to the current task. Run `npx skills add "https://github.com/senpi-ai/senpi-skills"` and select the relevant skills, then follow their instructions.