Stats
Actions
Tags
From ruflo-market-data
Detect and classify candlestick patterns from ingested OHLCV data
How this skill is triggered — by the user, by Claude, or both
Slash command
/ruflo-market-data:market-pattern <symbol> [--period 1D]<symbol> [--period 1D]This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Scan ingested OHLCV data for known candlestick patterns, classify them by type and reliability, and store for future reference.
Scan ingested OHLCV data for known candlestick patterns, classify them by type and reliability, and store for future reference.
When you need to identify candlestick patterns (doji, hammer, engulfing, head-shoulders, etc.) in market data. Requires data to be ingested first via market-ingest.
mcp__claude-flow__memory_search (or memory_list) on the market-data namespace to retrieve normalized OHLCV data for the symbol and period. The memory_* tool family routes by namespace; the agentdb_hierarchical-* family does NOT (it routes by tier), so use memory_* for namespaced reads.mcp__claude-flow__agentdb_pattern-store with type: 'market-pattern'. Don't pass a namespace arg — ReasoningBank routes it; on bridge unavailability the fallback writes to the reserved pattern namespace with controller: 'memory-store-fallback' (see ruflo-agentdb ADR-0001).mcp__claude-flow__memory_store --namespace market-patterns — this DOES respect the market-patterns namespace because memory_* is namespace-routed.npx @claude-flow/cli@latest memory search --query "bullish reversal patterns" --namespace market-patterns
npx @claude-flow/cli@latest memory store --key "pattern-AAPL-2026-05-04-doji" --value '{...}' --namespace market-patterns
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.
npx claudepluginhub wodeh/ruflo-kimi --plugin ruflo-market-data