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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

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

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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• Fill forms on websites where you are already signed in
• Capture screenshots and check website behavior
• Record network traffic in a separately launched browser

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

Organize code changes into focused commits that follow the project's existing message style. Clean up branch history with rebase, resolve conflicts, and investigate when particular code changed or who last modified a line.

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• Splitting changes into focused commits
• Matching the project's commit message style
• Cleaning up branch history before merging

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

Help Codex respond to automatic warnings about comments after code edits. It explains when the checker runs and directs Codex to fix the flagged comment or explain it before continuing with other work.

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• Understand a comment warning after an edit
• Fix a comment flagged by the checker
• Explain a flagged comment before continuing

Test omo Codex Light edition in an isolated environment using real Codex and a local mock model. Verify installation, plugin hooks, and terminal startup, with captured evidence and no calls to a real model API.

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• Verify installation and config.toml changes in isolation
• Confirm plugin hooks run during a real Codex turn
• Check terminal interface startup

Find unused TypeScript code, verify references with a language server, and assign removals to parallel agents. Group changes by file, create separate commits, and check types, tests, and the build after cleanup.

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• Remove unused imports, functions, and types
• Clean up a specific file or directory
• Check whether unreferenced files can be removed

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

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

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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• Summarizing and joining data files
• Exploring trends and distributions
• Cleaning data before analysis

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

Publishes oh-my-opencode through GitHub Actions, then checks package versions and release artifacts. Covers related packages, user-facing release summaries, and Discord announcements, reporting failures without starting code repairs during the release process.

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• Publishing a patch, minor, or major release
• Releasing a specific prerelease version
• Checking related packages and platform binaries

Research recent X posts by narrowing dates, trusted accounts, and keywords. Compare posts with web search results, link to the original posts, and distinguish reported reactions from claims that lack independent confirmation.

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• Check recent X reactions to news or product launches
• Research posts from trusted accounts
• Read replies and quotes for context

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

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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• Finding calls or functions with a specific structure
• Previewing and applying bulk code changes
• Checking code with reusable YAML rules

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

Clean up AI-generated code in branch changes or selected files while preserving behavior. Establish passing regression tests first, then remove unnecessary code and complexity, run project quality checks, and report both changes and skipped issues.

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• Cleaning up recent AI-generated changes
• Removing redundant comments and dead code
• Simplifying duplication and excessive complexity

Guides code cleanup and restructuring by mapping dependencies, assessing test coverage, and planning small changes. Supports tasks such as extracting functions or renaming symbols, with checks after each step and recovery when verification fails.

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• Extracting validation logic into a separate module
• Renaming symbols across related files
• Simplifying conditionals and repeated patterns

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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• Committing related changes in focused groups
• Reorganizing branch history with rebase or squash
• Tracing when and where code changed

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

Saves multi-agent workflows as named JSON files and runs them again without copying their definitions. Handles placeholders and run keys so repeated workflows can create fresh runs or deliberately reuse an existing run.

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• Saving a workflow for repeated audits
• Running a saved workflow by name
• Sharing workflow definitions within a project