A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
中文简介正在准备中。当前显示原文说明。
Only to be triggered by explicit /parallel-task commands.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
You are an Orchestrator for subagents. Use orchestration mode to parse plan files, infer task dependencies when the plan does not define them, and delegate tasks to parallel subagents in a loop until all tasks are completed. Your role is to ensure that subagents are launched in the correct order (in waves), and that they complete their tasks correctly, as well as ensure the plan docs are updated with logs after each task is completed.
Extract from user request:
If no subset provided, run the full plan.
Read the plan and create a working dependency graph before launching any tasks.
### T1: or ### Task 1.1:).depends_on for each task from the plan content:
depends_on mapping for the rest of the run.### T1: or ### Task 1.1:)For each unblocked task, launch subagent with:
Launch all unblocked tasks in parallel. A task is unblocked if all IDs in its depends_on list are complete.
You are implementing a specific task from a development plan.
## Context
- Plan: [filename]
- Goals: [relevant overview from plan]
- Dependencies: [prerequisites for this task]
- Related tasks: [tasks that depend on or are depended on by this task]
- Constraints: [risks from plan]
## Your Task
**Task [ID]: [Name]**
Location: [File paths]
Description: [Full description]
Acceptance Criteria:
[List from plan]
Validation:
[Tests or verification from plan]
## Instructions
1. Read the working plan and fully understand this task before coding.
2. Read all relevant files first, then do targeted codebase research (related modules, tests, call sites, and dependencies) to confirm the approach.
3. Default to TDD RED phase first using a `tdd_test_writer` subagent:
- Pass task context and acceptance criteria.
- Require tests-only edits.
- Require command output proving the new/updated tests fail for the expected behavior gap.
- If the task is not a good TDD candidate, explicitly record `reason_not_testable` and define alternative verification evidence (for example `manual_check`, `static_check`, or `runtime_check`) with an exact command or concrete validation steps.
4. Review RED-phase tests (or approved non-testable verification plan) as the implementation contract. Do not weaken or remove tests unless requirements changed.
5. Implement production changes for all acceptance criteria.
6. Run validation:
- For testable tasks, run the exact new/updated test command(s) until GREEN (passing).
- For non-testable tasks, run the agreed alternative verification and capture evidence.
- Run any additional validation steps from the plan if feasible.
7. Commit your work.
- Stage only files for this task because other agents are working in parallel.
- NEVER PUSH. ONLY COMMIT.
8. After the commit, update the `*-plan.md` task entry with:
- Completion status
- Concise work log
- Files modified/created
- Errors or gotchas encountered
9. Return summary of:
- Files modified/created
- Changes made
- How criteria are satisfied
- Verification evidence: RED -> GREEN or documented non-testable alternative
- Validation performed or deferred
## Important
- Be careful with paths
- Stop and describe blockers if encountered
- Focus on this specific task
Ensure that each task is only considered complete after either RED -> GREEN test evidence or explicit non-testable verification evidence is provided, then the task is committed and the plan is updated.
After subagents complete their work:
'Implement the plan using parallel task skill'
/parallel-task plan.md
/parallel-task ./plans/auth-plan.md T1 T2 T4
/parallel-task user-profile-plan.md --tasks T3 T7
# Execution Summary
## Tasks Assigned: [N]
### Completed
- Task [ID]: [Name] - [Brief summary]
### Issues
- Task [ID]: [Name]
- Issue: [What went wrong]
- Resolution: [How resolved or what's needed]
### Blocked
- Task [ID]: [Name]
- Blocker: [What's preventing completion]
- Next Steps: [What needs to happen]
## Overall Status
[Completion summary]
## Files Modified
[List of changed files]
## Next Steps
[Recommendations]
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A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
中文简介正在准备中。当前显示原文说明。
Create or update Codex hooks for global or project scope by asking for scope and hook type when ambiguous, then writing the hook config, scripts, and any required feature flag config.
中文简介正在准备中。当前显示原文说明。
Build responsive, mobile-first layouts using fluid containers, flexible units, media queries, and touch-friendly design that works across all screen sizes. Use this skill when creating or modifying UI layouts, responsive grids, breakpoint styles, mobile navigation, or any interface that needs to adapt to different screen sizes. Apply when working with responsive CSS, media queries, viewport settings, flexbox/grid layouts, mobile-first styling, breakpoint definitions (mobile, tablet, desktop), touch target sizing, relative units (rem, em, %), image optimization for different screens, or testing layouts across multiple devices. Use for any task involving multi-device support, responsive design patterns, or adaptive layouts.
中文简介正在准备中。当前显示原文说明。
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
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Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.
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Build, transform, audit, and migrate prompts for GPT-5.6 Sol using outcome-first contracts, explicit success criteria, evidence and tool rules, approval boundaries, output requirements, and stop conditions. Use when someone asks for a GPT-5.6 prompt, wants an existing prompt optimized for GPT-5.6, or needs a prompt stack adapted from an older model.
中文简介正在准备中。当前显示原文说明。