技能列表

A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.

LLM通用证据清洗技能。将原始搜索结果、网页片段、OCR残片等原始材料清洗为可用证据，减少脏输入、伪实体、重复片段和错域材料对后续判断的污染。在搜索结果返回后、进入freshness判定或叙事生成前使用。触发条件：搜索结果质量差、证据量大但信噪比低、需要标准化证据格式。

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EventKit integration patterns, permission handling, zero-width character steganography, and batch operations for macOS/iOS apps

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Deep event-driven architecture workflow—events vs commands, ordering and idempotency, sagas, outbox pattern, observability, and failure modes. Use when designing async systems, event buses, or refactoring synchronous chains.

Run AI agent evaluations via EvalPal — trigger eval runs, check results, and

大数据 ETL 流程生成器 - 根据源表 DDL 生成标准化 ETL 加工 SQL（HiveSQL/MySQL）

Deep ETL/ELT design workflow—extract patterns, transforms, loading strategies, idempotency, validation, and reconciliation. Use when designing batch data flows between systems or hardening pipelines for correctness.

Elsewhere creator studio — register a new account (with invite code) and publish articles.

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