Imported from majiayu000/claude-skill-registry-data (orchestration/dispatching-parallel-agents-axiomantic-spellbook/SKILL.md). Install upstream with npx skills add majiayu000/claude-skill-registry-data --skill dispatching-parallel-agents-axiomantic-spellbook. Copyright stays with the author.

Dispatching Parallel Agents

Decision Heuristics: Subagent vs Main Context

Use subagents when cost (instructions + work + output) < keeping intermediate steps in main context.

Use Subagent (Explore or Task) When:

Stay in Main Context When:

Quick Decision:

IF searching unknown scope → Explore subagent
IF reading 3+ files for single question → subagent
IF parallel independent tasks → multiple subagents
IF user interaction needed during task → main context
IF building on established context → main context

Task Output Storage

Agent Transcripts (Persistent):

~/.claude/projects/<project-encoded>/agent-{agentId}.jsonl

The <project-encoded> path is the project root with slashes replaced by dashes:

• /Users/alice/Development/myproject → -Users-alice-Development-myproject

Access Methods:

• Foreground tasks: results inline
• Background tasks: TaskOutput(task_id: "agent-id")
• Post-hoc: read .jsonl directly

Known Issue: TaskOutput visibility bug (#15098) - orchestrator must retrieve for subagents.

Overview: Parallel Dispatch

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.

Invariant Principles

1. Independence gate: Verify no shared state, no sequential dependencies, no file conflicts before dispatch
2. One agent per domain: Each agent owns exactly one problem scope; overlap kills parallelism
3. Self-contained prompts: Agent receives ALL context needed; no cross-agent dependencies
4. Constraint boundaries: Explicit limits prevent scope creep ("do NOT change X")
5. Merge verification required: Agent work integrated only after conflict check + full test suite

Inputs

Outputs

When to Use

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:

• 3+ test files failing with different root causes
• Multiple subsystems broken independently
• Each problem can be understood without context from others
• No shared state between investigations

Don't use when:

• Failures are related (fix one might fix others)
• Need to understand full system state
• Agents would interfere with each other (same files, shared resources)
• Exploratory debugging (you don't know what's broken yet)

The Pattern

1. Identify Independent Domains

Group failures by what's broken:

• File A tests: Tool approval flow
• File B tests: Batch completion behavior
• File C tests: Abort functionality

Each domain is independent - fixing tool approval doesn't affect abort tests.

2. Create Focused Agent Prompts

Each agent gets:

• Specific scope: One test file or subsystem
• Clear goal: Make these tests pass
• Constraints: Don't change other code
• Expected output: Summary of what you found and fixed

3. Dispatch in Parallel

OpenCode Agent Inheritance: Use CURRENT_AGENT_TYPE (yolo, yolo-focused, or general) as subagent_type for all parallel agents.

// CURRENT_AGENT_TYPE detected at session start (yolo, yolo-focused, or general)
Task({
  subagent_type: CURRENT_AGENT_TYPE,
  description: "Fix abort tests",
  prompt: "Fix agent-tool-abort.test.ts failures",
});
Task({
  subagent_type: CURRENT_AGENT_TYPE,
  description: "Fix batch tests",
  prompt: "Fix batch-completion-behavior.test.ts failures",
});
Task({
  subagent_type: CURRENT_AGENT_TYPE,
  description: "Fix approval tests",
  prompt: "Fix tool-approval-race-conditions.test.ts failures",
});
// All three run concurrently with inherited permissions

4. Review and Integrate

Only integrate when: summaries reviewed, no file conflicts, tests green.

Agent Prompt Structure

Good agent prompts are:

1. Focused - One clear problem domain
2. Self-contained - All context needed to understand the problem
3. Specific about output - What should the agent return?

Template

Fix [SPECIFIC SCOPE]:

Failures:

1. [test name] - [expected vs actual]
2. [test name] - [expected vs actual]

Context: [paste error messages, relevant code pointers]

Constraints:

- Do NOT change [specific boundaries]
- Focus only on [scope]

Return: Summary of root cause + changes made

Full Example

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.

Common Mistakes

Anti-Patterns

Real Example

Scenario: 6 failures across 3 files post-refactor

Domain isolation:

• agent-tool-abort.test.ts (3 failures): timing issues
• batch-completion-behavior.test.ts (2 failures): event structure bug
• tool-approval-race-conditions.test.ts (1 failure): async waiting

Dispatch: 3 parallel agents, each scoped to one file

Results:

• Agent 1: Replaced timeouts with event-based waiting
• Agent 2: Fixed event structure bug (threadId in wrong place)
• Agent 3: Added wait for async tool execution to complete

Integration: All fixes independent, zero conflicts, full suite green

Gain: 3 problems solved in time of 1

Context Minimization Protocol

Your job is to COORDINATE subagents, not to DO the work yourself. Every line of code you read or write in main context is WASTED TOKENS.

FORBIDDEN in Main Context

ALLOWED in Main Context

• Dispatching subagents (Task tool)
• Reading subagent result summaries
• Updating todo list (TodoWrite tool)
• Phase transitions and gate checks
• User communication (questions, status updates)
• Reading/writing plan documents (design docs, impl plans)

Self-Check Before Any Action

Before EVERY action, ask yourself:

Am I about to read a source file? → STOP. Dispatch subagent.
Am I about to edit code? → STOP. Dispatch subagent.
Am I about to run a command? → STOP. Dispatch subagent.
Am I about to analyze output? → STOP. Dispatch subagent.

If you catch yourself violating this, IMMEDIATELY stop and dispatch a subagent instead.

Subagent Dispatch Template

OpenCode Agent Inheritance: If CURRENT_AGENT_TYPE is yolo or yolo-focused, use that as subagent_type instead of general. This ensures subagents inherit autonomous permissions.

Task(
  description: "[3-5 word summary]",
  subagent_type: "[CURRENT_AGENT_TYPE or 'general']",
  prompt: """
First, invoke the [SKILL-NAME] skill using the Skill tool.
Then follow its complete workflow.

## Context for the Skill

[ONLY provide context - file paths, requirements, constraints]
[DO NOT provide implementation instructions]
[DO NOT duplicate what the skill already knows]
"""
)

Agent Type Selection:

WRONG vs RIGHT Examples

WRONG - Doing work in main context:

Let me read the config file to understand the structure...
[reads file]
Now I'll update line 45 to add the new field...
[edits file]

RIGHT - Delegating to subagent:

Task(description: "Implement config field", prompt: "Invoke test-driven-development skill. Context: Add 'extends' field to provider config in packages/opencode/src/config/config.ts")
[waits for subagent result]
Subagent completed successfully. Proceeding to next task.

WRONG - Instructions in subagent prompt:

prompt: "Use TDD skill. First write a test that checks the extends field exists. Then implement by adding a z.string().optional() field after line 865. Make sure to update the description..."

RIGHT - Context only in subagent prompt:

prompt: "Invoke test-driven-development skill. Context: Add 'extends' field to Config.Provider schema. Location: packages/opencode/src/config/config.ts around line 865."

Subagent Prompt Length Verification

Before dispatching ANY subagent:

1. Count lines in subagent prompt
2. Estimate tokens: lines * 7
3. If > 200 lines and no valid justification: compress before dispatch
4. Most subagent prompts should be OPTIMAL (< 150 lines) since they provide CONTEXT and invoke skills

Self-Check

Before completing:

• Independence verified: no shared state, no file overlap
• Each agent prompt is self-contained with full context
• Constraints explicitly state what NOT to change
• All agent summaries reviewed before integration
• Conflict check performed on returned work
• Full test suite green after merge

Key Benefits

1. Parallelization - Multiple investigations happen simultaneously
2. Focus - Each agent has narrow scope, less context to track
3. Independence - Agents don't interfere with each other
4. Speed - 3 problems solved in time of 1

Verification

After agents return:

1. Review each summary - Understand what changed
2. Check for conflicts - Did agents edit same code?
3. Run full suite - Verify all fixes work together
4. Spot check - Agents can make systematic errors

Real-World Impact

From debugging session (2025-10-03):

• 6 failures across 3 files
• 3 agents dispatched in parallel
• All investigations completed concurrently
• All fixes integrated successfully
• Zero conflicts between agent changes

<FINAL_EMPHASIS> Parallel dispatch is a force multiplier when used correctly, and a merge disaster when used carelessly. The independence gate is non-negotiable. Verify before dispatch, verify before integration. Your reputation depends on the rigor of your verification, not the speed of your dispatch. </FINAL_EMPHASIS>