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Build React components, forms, and custom hooks with TypeScript. Organize state and data fetching, debug rendering problems, migrate class components, and improve performance, with type checks and component tests to validate the implementation.
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Inspect recent merges for leftover debug code, TODO comments, lint warnings, and technical debt, meaning deferred maintenance work. Create a prioritized cleanup list that separates small fix candidates from issues requiring human judgment.
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Write and debug code for further training large language models with TRL. Match training methods to dataset formats, configure supervised or preference-based training, and set up reward functions through Python or the command line.
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Routes quality checks to the appropriate skill, covering code review and fixes, debugging, security checks, acceptance testing, AI response evaluation, and interface reviews. It also directs requests for validating phase outputs or reviewing plans across AI systems.
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Investigate errors and unexpected behavior through reproduction, isolation, diagnosis, and a proposed fix. Receive a structured report covering the root cause, necessary code or configuration changes, and suggested tests to prevent the issue from returning.
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Find and load the appropriate skill for an agent working inside OpenRig. This index maps situations such as recovery, handover, debugging, and planning to relevant guidance, with commands that retrieve content matching the installed CLI.
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Coordinate temporary agents for code exploration, independent implementation tasks, verification, reviews, or complex debugging. Define self-contained assignments, run independent work in parallel, and check returned evidence before combining the results.
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Investigate Python script failures by capturing regular output, error details, and exit codes. Log the working directory and resolved file paths to expose missing files, permission problems, missing modules, or differences in automated execution.
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Debug PowerPoint generation with python-pptx, a Python library for presentations. Follow a sequence of installation checks, minimal tests, error logging, and fixes for tables and charts, then inspect the generated slides.
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Plan a browser game's architecture before coding. Choose an engine, separate game rules from rendering, and define input, assets, menus, saves, debugging, and performance checks within a shared design.
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Set up a repeatable build, launch, and debugging workflow for macOS apps using Xcode or SwiftPM, Swift’s package manager. A project script handles relaunching, connects to the Codex Run button, and supports logs and process checks.
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Test and debug rendered web apps by reproducing interaction bugs, checking layouts and console errors, making focused fixes, and validating again. Results include screenshots, observed state changes, and a QA report explaining coverage and remaining gaps.
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Build and debug Python agents with Swarms, a framework for coordinating multiple AI agents. Covers tool connections, saved memory, autonomous execution, and workflow choices such as sequential steps, parallel work, specialist delegation, and combined answers.
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Inspect and control live Chrome pages to investigate display problems, console errors, failed requests, and slow loading. Capture screenshots, automate page interactions, and record performance traces to identify where delays or layout shifts occur.
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Design specialized assistants that work with their own separate context. Define responsibilities, delegation conditions, working steps, and report formats for reusable subagents handling verification, debugging, security audits, or code reviews.
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Add or debug web animations with GSAP, from entrance effects to scroll-driven sequences. Coordinate timing across multiple elements, adjust motion, and address rendering performance and cleanup when using animations in React.
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Guide AI agent development from requirements and project setup through implementation, behavior evaluation, deployment, and monitoring. Provides coding rules, debugging steps, and links to specialized skills so each phase follows a defined process.
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Guide Nexent backend design, implementation, debugging, and review across database schemas, FastAPI endpoints, services, and configuration. Check existing interfaces, consult references for each affected layer, and verify successful and failed behavior while preserving public contracts.
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Route GitHub Agentic Workflows requests to the appropriate task guide. It selects prompts for design, creation, updates, debugging, or upgrades, with additional guidance for specialized tasks and repository-specific instructions when available.
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Investigate .NET app crashes on Apple platforms by converting runtime addresses in .ips logs into function names, source files, and line numbers. It locates matching debug symbols and supports retrieving logs from connected iOS devices.
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Capture MSBuild execution records as binary logs during .NET builds, tests, packaging, publishing, or restores. It explains unique filenames, PowerShell quoting, and file checks so logs remain available for later failure or performance analysis.
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Design error recovery for gh-aw workflows, including failed installations and API calls. Define retry limits, increasing wait times, error categories, and debug logs to handle temporary failures and prevent endless retries.
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Inspect Kiln’s interface in a real browser, capture screenshots, and run or debug end-to-end tests that check complete user flows. A sandbox with sample project data provides populated screens for checking UI changes.
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Inspect automated test results in TestDino, filter runs by branch or environment, and investigate failed or flaky tests—tests with inconsistent outcomes. Use historical runs to explore likely causes and recommendations for a failing test.
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