技能列表

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Deep GraphQL schema workflow—modeling types, queries and mutations, N+1 and complexity limits, errors and pagination, federation risks, and evolution. Use when designing or reviewing GraphQL APIs.

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Production playbook for OpenClaw graph-memory optimization with mem0-aligned recall governance. Use when users ask to (1) summarize current graph-memory status, (2) reproduce the same optimization effect on another workspace, (3) tune threshold/infer/memoryType/preferenceLexicon for precision vs recall, (4) troubleshoot recall quality drift, or (5) apply/rollback safe config patches under plugins.entries.graph-memory.config.

Query Limitless prediction markets on Base — live odds, trader P&L, whale tracking, market stats, and daily volume from The Graph's decentralized network.

Generate sports betting research reports using live odds, matchup context, and public/news sources. Supports premium mode with API-backed odds/news and free fallback mode with public-source workflows. Use for best bets of the day, matchup breakdowns, sportsbook-style summaries, and structured betting reports. Prefer this skill for research and summaries, not for placing bets or claiming guaranteed outcomes.

Advanced code review assistant with intelligent analysis, multi-language support, and structured feedback. Performs comprehensive reviews covering correctness, security, performance, maintainability, and observability. Use when reviewing pull requests, code changes, conducting security audits, performance reviews, or when the user requests detailed code analysis. Supports Python, JavaScript/TypeScript, Java, Go, Rust, C#, Ruby, PHP.

Render custom Aavegotchi 3D images from arbitrary trait and wearable combinations. Use when the user describes a synthetic or hypothetical gotchi look in plain language, asks for an outfit preview, headshot, or full-body image, and is not asking for an existing onchain token by tokenId or inventory URL.

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