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Found 171 Skills
Production incident response procedures for Python/React applications. Use when responding to production outages, investigating error spikes, diagnosing performance degradation, or conducting post-mortems. Covers severity classification (SEV1-SEV4), incident commander role, communication templates, diagnostic commands for FastAPI/ PostgreSQL/Redis, rollback procedures, and blameless post-mortem process. Does NOT cover monitoring setup (use monitoring-setup) or deployment procedures (use deployment-pipeline).
Domain-specific keyword mappings for research report generation. Includes ROS2, AI/ML, and general engineering keywords for chapter classification and content mapping.
Use this when the Discover (reverse engineering) of legacy projects tends to get out of control in coverage. You need to first conduct module classification (P0/P1/P2) and constrain the depth of reverse engineering, ensuring that high-ROI modules are made traceable first instead of "writing everything but making it unmaintainable."
Standardized error handling patterns with classification, recovery, and logging strategies. error handling, error recovery, graceful degradation, resilience.
Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
Retrieve market capitalization data for a single company using Octagon MCP. Use when you need the current market value, valuation context, or size classification for any publicly traded stock.
通过专利ID或公开号查询智慧芽专利数据库中的专利著录（书目）信息。当用户提到专利著录信息查询、专利书目信息、专利申请人查询、专利发明人查询、专利分类号、专利摘要获取、专利引用分析、专利优先权主张、专利申请引用、专利审查员信息、patent bibliographic data, inventor lookup, applicant lookup, patent classification, patent metadata, PatSnap, patent citations时触发此技能。即使用户未明确提及"著录信息"，只要其需求涉及通过专利ID或公开号查询特定专利的详细元数据，也应触发此技能。
利用多模态AI分析商品主图，提取视觉特征和提示词。当用户提到分析产品图片、从商品图中提取视觉属性、识别产品Listing中的颜色/形状/材质/风格、反推图片提示词、批量视觉特征提取、将产品图信息转化为结构化数据、视觉属性统计、基于图片的商品分类、main image analysis, image feature extraction, visual attribute recognition, product image analysis, image classification, batch image analysis时触发此技能。即使用户未明确提及"图片分析"，只要其需求涉及从商品主图或附图中提取结构化信息，也应触发此技能。
Performance analysis coordination workflow. Guides profiling delegation, bottleneck classification (compute/memory/launch/communication/sync), and structured report generation. Use when the user asks to analyze performance, profile a workload, check MFU/SOL, or diagnose bottlenecks.
Jurisdiction-aware wage/hour and employment Q&A — classification, overtime, meal/rest breaks, leave, final pay — answered for the specific state/country with the controlling rule researched and cited rather than stated from memory. Use when the user asks any employment law question, or says "what's the rule in [state]", "is this exempt", "do we have to pay overtime for", or "can we classify this as".
Write and audit Python code comments using antirez's 9-type taxonomy. Two modes - write (add/improve comments in code) and audit (classify and assess existing comments with structured report). Use when users request comment improvements, docstring additions, comment quality reviews, or documentation audits. Applies systematic comment classification with Python-specific mapping (docstrings, inline comments, type hints).
Generates a complete social media crisis response playbook covering severity classification, per-level response protocols, holding statement templates, platform-specific actions, and a post-crisis review process. Also outputs a one-page Crisis Quick Card for the client to print. Invoke this skill when onboarding any new client (proactive setup), when a client reports a crisis already in progress, or when reviewing crisis preparedness for an existing account.