Systematically trace bugs backward through call stack to find original trigger
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Skills that do not fit the categories above (14.4K skills)
Systematically trace bugs backward through call stack to find original trigger
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Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-level capture is needed.
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Find one insight that eliminates multiple components - "if this is true, we don't need X, Y, or Z
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Capture a self-contained static HTML snapshot from a running app or mock component so it can be reviewed or uploaded to Stitch.
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Draft, prepare, publish, and verify personal or project LinkedIn posts through the user's signed-in Chrome session, including audience review, public-safe media uploads, links, action-time confirmation, and post-publication checks.
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Spot patterns appearing in 3+ domains to find universal principles
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Recognize when disagreements reveal valuable context, preserve multiple valid approaches instead of forcing premature resolution
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Sync local skills repository with upstream changes from obra/superpowers-skills
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Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
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Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?
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Execute detailed plans in batches with review checkpoints
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Complete feature development with structured options for merge, PR, or cleanup
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Compact the current conversation into a handoff document for another agent to pick up.
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Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
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Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts".
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Validate GCI competition predictions and notebook outputs against expected schema, metric, and submission constraints.
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Force unrelated concepts together to discover emergent properties - "What if we treated X like Y?
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Generate .excalidraw diagrams from natural language. Use when creating flowcharts, mind maps, system architecture diagrams, sequence diagrams, ER diagrams, network diagrams, or any visual process visualization.
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Use multiple Claude agents to investigate and fix independent problems concurrently
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NVIDIA DeepStream model-import guidance for bringing vision models from Hugging Face or NVIDIA NGC into DeepStream pipelines with export, TensorRT build, and benchmark steps.
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Expert fintech engineer specializing in financial systems, regulatory compliance, and secure transaction processing. Masters banking integrations, payment systems, and building scalable financial technology that meets stringent regulatory requirements.
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Expert payment integration specialist mastering payment gateway integration, PCI compliance, and financial transaction processing. Specializes in secure payment flows, multi-currency support, and fraud prevention with focus on reliability, compliance, and seamless user experience.
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A2A agent card JSON templates with schema validation and examples for different agent types. Use when creating agent cards, implementing A2A protocol discovery, setting up agent metadata, configuring authentication schemes, defining agent capabilities, or when user mentions agent card, agent discovery, A2A metadata, service endpoint configuration, or agent authentication setup.
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Turn public agenda, news, policy moves, geopolitical developments, sanctions, trade disputes, regulation, elections, diplomatic signals, and strategic-risk events into decision-ready briefs. Use when the user asks an agent to analyze what changed, why it matters, who is affected, what is uncertain, scenarios, watch-next indicators, or risk implications instead of producing a simple news summary.
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