在 Manus 中运行任何 Skill
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一键导入
一键在 Manus 中运行任何 Skill
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updated:2026年5月5日 00:18
SKILL.md
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| name | market-pattern |
| description | Detect and classify candlestick patterns from ingested OHLCV data |
| argument-hint | <symbol> [--period 1D] |
| allowed-tools | mcp__claude-flow__memory_search mcp__claude-flow__memory_list mcp__claude-flow__memory_store mcp__claude-flow__agentdb_pattern-store mcp__claude-flow__agentdb_pattern-search mcp__claude-flow__ruvllm_hnsw_route Bash |
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