Analyze all open GitHub issues and pull requests, then produce reports backed by links to specific code commits. Assess bugs, feature requests, and merge readiness without changing anything on GitHub.
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Builds and improves web interfaces, covering layout, styling, motion, and usability. It records design rules before implementation, uses supplied references or design research, and checks the result in real browsers for visual consistency, accessibility, and performance.
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Create or update hierarchical AGENTS.md files that explain a project's structure, commands, and conventions. Analyze directory complexity to choose useful locations, then keep local guidance concise and avoid repeating parent instructions.
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Investigate LazyCodex and Codex bugs using reproduction results and source code. Identify the responsible repository, then prepare or submit an English GitHub report with evidence, likely causes, fix guidance, and a verification plan.
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Set up a language server, a tool that helps agents understand source code, for a project. Detect the language, install and configure the server, then verify that it responds to a diagnostic request.
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Use language servers, tools that understand code structure, to check errors, locate definitions, and find references in Codex. Check whether a symbol can be renamed and apply the rename across the workspace.
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Reviews completed changes against the original goal, constraints, code quality, and security. Combines hands-on checks of the actual application or API with recorded evidence, then reports blockers and a passed, failed, or inconclusive verdict.
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Understand how Codex Rules adds project instructions and file-specific rules to agent context. Check supported rule locations, when rules are applied, and environment settings for modes, sources, and text limits.
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Coordinates a named team of Codex workers with concrete responsibilities and shared progress records. It selects available collaboration tools, manages communication and separate working copies when needed, and handles integration, team archival, and cleanup after the work ends.
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Retrieve pages blocked by web access filters, read Chinese and social platforms through dedicated tools, and inspect archived copies with their dates. Escalate to browser interaction when simpler extraction methods cannot provide the needed content.
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Carry development tasks through implementation and verification on the actual interface, such as a browser, terminal, or API. Define success criteria upfront, scale checks to the change, and retain evidence and progress notes.
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Checks the visual quality of web pages, terminal interfaces, and paginated documents. Uses phone and desktop captures, light and dark themes, and an Apple design checklist to produce screenshot evidence and item-by-item verdicts.
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Builds and refines web pages and components using documented design rules. Covers layout, styling, animation, and reusable components, with browser-based checks for visual quality, performance, accessibility, and SEO.
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Manage Git changes and investigate repository history with evidence from commands. Group related edits into focused commits, reorganize branch history when requested, trace changes, and identify the first faulty commit when a repeatable check is available.
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Refactor code through a staged process that maps dependencies, assesses test coverage, and plans small changes. Use it to extract functions, simplify code, or restructure modules while checking tests and diagnostics throughout.
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Investigate a topic with cooperating agents assigned to distinct questions. Track sources, conflicting evidence, and unresolved claims, then assemble a cited deliverable with verification records and quality checks suited to the requested format.
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Apply strict coding practices to Python, Rust, TypeScript, and Go projects. The skill guides typed errors, handling every variant, resource management, and tests that verify observable behavior, while prioritizing reuse and minimal changes.
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Turn a broad coding request into a concrete work plan grounded in the codebase. After user approval, it documents affected files, decisions, dependencies, and verification steps so a separate worker can carry out the implementation.
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Cleans redundant comments, dead code, duplication, and unnecessary complexity from branch changes or selected files. Establishes passing regression tests first, then checks that cleanup preserves existing behavior and public APIs using the project's quality tools.
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Reproduce and fix LazyCodex or Codex defects in a temporary workspace. Verify the change with regression tests and real usage, then deliver an upstream Codex pull request or a LazyCodex issue containing the tested patch.
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Finds and rewrites code by its syntax structure across 25 languages. Use it to locate matching calls or declarations, preview bulk changes, and run reusable YAML rules that check code or apply fixes.
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Automate forms, clicks, screenshots, and website checks in a browser where you are already signed in. A separately launched browser also supports scraping and network capture, while login or verification steps can be handed to a person.
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Analyze CSV, Parquet, and JSON files to answer questions through grouping, joins, cleaning, time series, and charts. Chooses DuckDB or Polars and a suitable processing location based on the task and available memory.
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Checks LazyCodex and Codex CLI installations against current source code, inspecting versions, settings, plugin files, and runtime behavior. Produces an evidence-backed health report with suggested fixes while leaving the installed setup unchanged.
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