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Sequential reasoning with deep self-reflection and backtracking. Use when problems have step-by-step dependencies, need careful logical reasoning, or require error correction. Each step includes self-…
When the user wants to manage product shelf life, implement FEFO (First-Expired-First-Out), optimize freshness, or handle perishable products. Also use when the user mentions "expiration management," …
Use when initializing or refreshing project-specific WebdriverIO context so other skills can reuse cached configuration, conventions, and environment details with lower token and execution cost.
Delegate repetitive tasks to specialized agent to preserve context. Use when user asks to fix linting errors, fix diagnostics, rename variables across files, update imports, fix formatting issues, or …
Generates Vitest tests in JavaScript/TypeScript with Vite-native speed. Jest-compatible API with ESM support and HMR. Use when user mentions "Vitest", "vi.mock", "vitest.config". Triggers on: "Vitest"…
Use this skill when investigating issues through logs. Activate when the user needs to analyze log files, search for specific events in logs, correlate logs across services, investigate incidents thro…
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Building AI agents and assistants with Convex. Use when implementing chat interfaces, AI assistants, tool-calling agents, RAG (retrieval-augmented generation), conversation threads, or integrating LLM…
Universal error handling, exception management, and logging best practices for all development agents across JavaScript/TypeScript, Python, Rust, Go, and Java. Use when implementing error handling, ex…
When the user wants to solve strip packing problems, pack items into fixed-width strips, or minimize packing height. Also use when the user mentions "strip packing," "cutting stock with fixed width," …
Use when temporarily skipping failing WebdriverIO tests for app bugs or unimplemented functionality, while tracking ownership, ticket linkage, and re-enable status.
This skill should be used when the user asks to "visual test", "test the GUI", "headless test", "test a running app", "interact with the UI", "take a screenshot of the app", "click a widget", "find a …
Creates code-based evaluators for LangSmith-traced agents. Use when building custom evaluation logic, testing tool usage patterns, or scoring agent outputs programmatically. Triggers on requests to ev…
Automate Simla Com tasks via Rube MCP (Composio). Always search tools first for current schemas.
Edge-optimized RAG memory system for OpenClaw with semantic search. Automatically loads memory files, provides intelligent recall, and enhances conversations with relevant context. Perfect for Jetson …
Human-in-the-loop interaction patterns for ASC operations. Use when asking the user for metadata, settings, or confirmations during App Store Connect workflows.
When the user wants to solve large-scale optimization problems using column generation, decomposition methods, or Dantzig-Wolfe decomposition. Also use when the user mentions "column generation," "mas…
When the user wants to optimize task assignments, match workers to jobs, or solve assignment problems. Also use when the user mentions "Hungarian algorithm," "assignment optimization," "worker-task as…
Unit tests are triggered before code submission. Scanning and verifying the method's pre-conditions, post-conditions, and invariants, reduces AI hallucinations through contract-based design.
Generates production-grade Cypress E2E and component tests in JavaScript or TypeScript. Supports local execution and TestMu AI cloud. Use when the user asks to write Cypress tests, set up Cypress, tes…
Use this skill when analyzing error patterns in applications. Activate when the user has recurring errors, wants to find root causes of issues, needs to identify systemic problems, is analyzing error …
Generates illustrations for articles
Evaluate, optimize, and enhance prompts using 58 proven prompting techniques. Use when user asks to improve, optimize, or analyze a prompt; when a prompt needs better clarity, specificity, or structur…
On-device AI with Apple FoundationModels framework: text generation, streaming responses, structured output with @Generable. Use when adding on-device AI features, text generation, or ML-powered conte…