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SkillsMP hat 15 Skills aus Raynergy-svg/ml_engine gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 15 von 15 gesammelten Skills angezeigt.
Triggered on runtime errors in the scan loop. Diagnoses the root cause, writes a targeted fix to src/, and reports what changed. The calling harness runs pytest before merging — if tests fail, the fix is reverted automatically.
Quellsprache: Englisch
Post-trade feedback loop system: shaped-reward logging, diagnostics, and self-heal. Use when investigating trade outcomes, checking system health, or understanding automated corrective actions.
Quellsprache: Englisch
Buddy MCP server: 15 tools for system observability, feedback loop control, OANDA state, and knowledge management. Use when querying system health, investigating trades, or triggering diagnostics/self-heal.
Quellsprache: Englisch
Spawned automatically on trade close by ClaudeReflectionHandler. Reads the just-closed trade, compares prediction to outcome, and writes structured learnings / rule drafts / weight proposals that Buddy picks up on the next scan cycle.
Quellsprache: Englisch
Triggered on runtime errors in the scan loop. Diagnoses the root cause, writes a targeted fix to src/, and reports what changed. The calling harness runs pytest before merging — if tests fail, the fix is reverted automatically.
Quellsprache: Englisch
Spawned automatically on trade close by ClaudeReflectionHandler. Reads the just-closed trade, compares prediction to outcome, and writes structured learnings / rule drafts / weight proposals that Buddy picks up on the next scan cycle.
Quellsprache: Englisch
Tune or audit ML Engine gate thresholds as a coordinated adaptive system. Use when confidence, momentum, risk, or agent-consensus thresholds are being changed; when one static gate bottlenecks an otherwise adaptive pipeline; or when the scanner alternates…
Quellsprache: Englisch
Review changes to ML Engine's execution path, broker integration, and risk enforcement. Use when modifying `execution.py`, OANDA adapters, sizing, routing, or trade approval logic. Focus on preserving gate integrity, R:R minimums, correlation/risk controls,…
Quellsprache: Englisch
Maintain the learning-to-rule pipeline in ML Engine. Use when learnings are malformed, promotions miscount patterns, archives bloat, mixed markdown formats conflict, or rules/learnings drift out of sync. Focus on compatibility across learnings producers,…
Quellsprache: Englisch
Verify that a module, tracker, agent, or automation feature is truly wired into live production paths in ML Engine. Use when code exists but may be dead, when a phase claims completion, or when tests pass while runtime behavior suggests the feature is inert.…
Quellsprache: Englisch
Diagnose zero-trade stalls, chronic gate rejections, or sudden throughput collapse in the ML Engine trading loop. Use when the system stops producing trades, when tradeable pairs drop to zero, or when a user asks why the scanner is blocked. Focus on virtual…
Quellsprache: Englisch
Buddy MCP server: 15 tools for system observability, feedback loop control, OANDA state, and knowledge management. Use when querying system health, investigating trades, or triggering diagnostics/self-heal.
Quellsprache: Englisch
Post-trade feedback loop system: shaped-reward logging, diagnostics, and self-heal. Use when investigating trade outcomes, checking system health, or understanding automated corrective actions.
Quellsprache: Englisch
Centralized configuration management with validation, versioning, and environment-specific overrides for the ML Engine FX trading system.
Quellsprache: Englisch
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends the agent's capabilities with specialized knowledge, workflows, or tool integrations.
Quellsprache: Englisch