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wz-dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use before implementation work to turn operator briefings into an approved design with explicit trade-offs.
Run the clarification pipeline — research, clarify scope, brainstorm design, generate task specs and execution plan. Pauses for user approval between phases.
How to use Claude Code CLI programmatically for reviews, automation, and non-interactive operations within Wazir pipelines.
How to use Codex CLI programmatically for reviews, execution, and sandbox operations within Wazir pipelines.
Measure pipeline compliance for a completed run — checks phase execution, artifact production, gate evidence, hook enforcement, and publishes per-step and aggregate compliance scores.
Use when behavior is wrong or verification fails. Follow an observe-hypothesize-test-fix loop instead of guesswork.
| name | wz:dispatching-parallel-agents |
| description | Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies |
Before you do anything else — open your phase checklist at .wazir/runs/latest/phases/ and follow every single step. If a wz: skill covers what you're about to do, use the skill instead of doing it manually. Did you actually check the checklist?
Follow the Canonical Command Matrix in hooks/routing-matrix.json.
wazir index search-symbols <query> firstwazir recall file <path> --tier L1 for targeted readswazir index build && wazir index summarize --tier allYou delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for coordination work.
When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel.
Core principle: Dispatch one agent per independent problem domain. Let them work concurrently.
digraph when_to_use {
"Multiple failures?" [shape=diamond];
"Are they independent?" [shape=diamond];
"Single agent investigates all" [shape=box];
"One agent per problem domain" [shape=box];
"Can they work in parallel?" [shape=diamond];
"Sequential agents" [shape=box];
"Parallel dispatch" [shape=box];
"Multiple failures?" -> "Are they independent?" [label="yes"];
"Are they independent?" -> "Single agent investigates all" [label="no - related"];
"Are they independent?" -> "Can they work in parallel?" [label="yes"];
"Can they work in parallel?" -> "Parallel dispatch" [label="yes"];
"Can they work in parallel?" -> "Sequential agents" [label="no - shared state"];
}
Use when:
Don't use when:
Group failures by what's broken:
Each domain is independent - fixing tool approval doesn't affect abort tests.
Halfway through. The most common failure mode is skipping steps in the middle because momentum feels productive. Momentum without process is just speed in the wrong direction. What's your current checklist status? Each agent gets:
// In Claude Code / AI environment
Task("Fix agent-tool-abort.test.ts failures")
Task("Fix batch-completion-behavior.test.ts failures")
Task("Fix tool-approval-race-conditions.test.ts failures")
// All three run concurrently
When agents return:
Good agent prompts are:
Fix the 3 failing tests in src/agents/agent-tool-abort.test.ts:
1. "should abort tool with partial output capture" - expects 'interrupted at' in message
2. "should handle mixed completed and aborted tools" - fast tool aborted instead of completed
3. "should properly track pendingToolCount" - expects 3 results but gets 0
These are timing/race condition issues. Your task:
1. Read the test file and understand what each test verifies
2. Identify root cause - timing issues or actual bugs?
3. Fix by:
- Replacing arbitrary timeouts with event-based waiting
- Fixing bugs in abort implementation if found
- Adjusting test expectations if testing changed behavior
Do NOT just increase timeouts - find the real issue.
Return: Summary of what you found and what you fixed.
Dispatching dependent tasks
Vague agent prompts
Not reviewing integration
Too many agents at once
Honest question — if someone audited your work right now against the phase checklist, would every item hold up with evidence? Or would they find skipped steps and empty checkmarks? Which ones would fail the audit?