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Creates self-contained HTML charts, tables, diagrams, and dashboards for display within a conversation. It keeps figures traceable to calculations and checks readability in light and dark themes, including narrow mobile layouts, before showing the page.

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• Explaining numerical findings with charts
• Presenting comparisons as tables or diagrams
• Showing a dashboard within a conversation

Research a coding task before implementation and turn it into a detailed work plan with decisions, dependencies, and verification steps. The plan is written after approval, while code changes remain a separate workflow.

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• Planning a large change before implementation
• Turning a vague request into concrete tasks
• Preparing a plan for another agent to execute

Check opencode commands, HTTP server behavior, lifecycle events, and terminal startup with purpose-built scripts. Find stored sessions by ID, title, or scoped message searches, and export conversations as JSON for further inspection.

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• Check CLI commands and HTTP server health
• Observe lifecycle events associated with plugin hooks
• Check terminal startup and keyboard input

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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• Checking supported locations for rule files
• Understanding when file-specific rules are applied
• Configuring rule modes and text limits

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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• Read a page that returns a 403 error
• Retrieve posts from Chinese platforms
• Check dated archives of unavailable pages

Audit a codebase with three vulnerability hunters and two engineers who build small demonstrations of suspected flaws. Verify attack paths, assess severity from demonstrated impact, and report evidence, targeted fixes, and checks to prevent recurrence.

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• Review security before a release
• Audit security risks in a pull request
• Verify whether a suspected flaw is exploitable

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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• Diagnosing unexpected behavior after an update
• Checking configuration and plugin files
• Auditing differences from current source code

Coordinate child agents on tasks that must happen in a particular order. Define dependencies, pass results through handoff files, verify the outcome, and recover individual failed tasks while reusing work that has already finished.

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• Coordinate tasks that depend on earlier results
• Run document audits, revisions, and checks in order
• Retry failed tasks while keeping completed results

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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• Implement and verify a reproducible bug fix
• Submit an upstream Codex pull request
• Deliver a tested LazyCodex patch in an issue

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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• Checking code errors after edits
• Locating function or variable definitions
• Finding where a symbol is used

Execute a written work plan by assigning implementation and verification to subagents. Track progress, isolate work in Git worktrees, record test evidence, and require independent verification before marking tasks complete, with optional pull request delivery.

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• Executing a saved work plan
• Assigning independent tasks to parallel agents
• Resuming work with recorded progress and evidence

Breaks long-running goals into small, verifiable steps, tracks progress, and records evidence from actual operation. Checkpoints preserve what has been proven so work can resume after interruptions and continue toward explicit completion criteria.

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• Managing a long-running development goal
• Resuming work after an interruption
• Recording evidence for completion criteria

Check the appearance and interaction states of web pages, terminal interfaces, and paginated documents. Uses captured images, light and dark themes, viewport comparisons, and independent reviews to produce evidence-backed verdicts for each checklist item.

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• Checking a UI after implementation changes
• Comparing a page with a design reference
• Finding Japanese text clipping and awkward wrapping

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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• Building a landing page from a screenshot or website reference
• Improving an existing dashboard’s layout and visual design
• Adding animation and interaction feedback

Investigate a topic with cooperating agents that divide the research, challenge findings, and track evidence. Produce a cited synthesis with an auditable research record, verification artifacts where needed, and explicit treatment of unresolved or refuted claims.

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• Investigating a topic from several perspectives
• Checking conflicting claims against evidence
• Researching code alongside external documentation

Uses multiple agents with different critical roles to challenge assumptions, complexity, risks, and alternatives. Findings that withstand review go to a dedicated planner, who turns them into sequenced tasks with explicit success criteria.

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• Reviewing assumptions before implementation
• Checking integration risks and edge cases
• Comparing alternative approaches

Explain tips shown in senpi or omo by checking the installed tip list, user settings, and implementation code. Learn what a feature actually does, why a tip appears, and which tips your setup can show.

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• Understand a Tip: line shown during a session
• Check which tips your settings allow
• Explore how model fallback guidance works

Investigate crashes, hangs, incorrect responses, and other failures by testing hypotheses against observed runtime behavior. Confirm the cause, verify the fix with a reproducing test, check the real workflow, and remove temporary debugging artifacts.

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• Investigating crashes, hangs, or incorrect responses
• Tracing intermittent failures or asynchronous behavior
• Analyzing binary behavior without source code

Automate website navigation, form filling, screenshots, data extraction, and web app testing while keeping page state between scripts. Works with a fresh Chromium session or an existing Chrome session through an extension.

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• Automating navigation and form entry
• Saving screenshots of web pages
• Extracting website data

Guides coding work from planning and implementation through checks on actual screens, commands, or APIs. It adjusts verification to the change’s risk and records evidence, decisions, and cleanup so completion can be assessed against the requested outcome.

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• Fixing a bug and verifying the original failure is resolved
• Checking a feature through its actual screen or API
• Recording decisions and evidence for a development handoff

Get started with omo through a guided feature tour and workflow introduction. Optional setup migration and past-session analysis connect its features to existing work habits, while memory tools record useful preferences for future sessions.

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• Learning omo's features and basic workflow
• Migrating settings from another coding agent
• Reviewing past agent sessions for work patterns

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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• Report a reproducible LazyCodex or Codex bug
• Identify which project owns a defect
• Add new evidence to an existing issue

Document a project's structure, commands, and specific conventions in a hierarchy of AGENTS.md files. Analyze directory complexity to choose useful locations, update existing guidance, and check that child files avoid repeating their parents.

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• Create project guidance for coding agents
• Refresh existing AGENTS.md documentation
• Document rules specific to complex directories

Have agents with different roles challenge a proposed approach, exposing weak assumptions, missed interactions, and unnecessary complexity. Surviving findings go to a dedicated planning agent, which produces sequenced tasks with explicit success criteria.

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• Checking assumptions before committing to a plan
• Finding integration risks and overlooked edge cases
• Challenging unnecessary complexity in a design