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Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
$ npx -y skills add coco-research/coco --skill dispatching-parallel-agents --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/dispatching-parallel-agentsContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
name: dispatching-parallel-agents description: Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies domain: foundational
**Announce at start:** "Dispatching Parallel Agents skill activated."
You 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.
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 concurrentlyWhen agents return:
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?
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.
**❌ Too broad:** "Fix all the tests" - agent gets lost **✅ Specific:** "Fix agent-tool-abort.test.ts" - focused scope
**❌ No context:** "Fix the race condition" - agent doesn't know where **✅ Context:** Paste the error messages and test names
**❌ No constraints:** Agent might refactor everything **✅ Constraints:** "Do NOT change production code" or "Fix tests only"
**❌ Vague output:** "Fix it" - you don't know what changed **✅ Specific:** "Return summary of root cause and changes"
**Related failures:** Fixing one might fix others - investigate together first **Need full context:** Understanding requires seeing entire system **Exploratory debugging:** You don't know what's broken yet **Shared state:** Agents would interfere (editing same files, using same resources)
**Scenario:** 6 test failures across 3 files after major refactoring
**Failures:**
**Decision:** Independent domains - abort logic separate from batch completion separate from race conditions
**Dispatch:**
Agent 1 → Fix agent-tool-abort.test.ts Agent 2 → Fix batch-completion-behavior.test.ts Agent 3 → Fix tool-approval-race-conditions.test.ts
**Results:**
**Integration:** All fixes independent, no conflicts, full suite green
**Time saved:** 3 problems solved in parallel vs sequentially
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
CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 185 skills, 280 commands, persistent state. Local. Open-core — MIT core; Super Intelligence is proprietary, own-use.
Repo: coco-research/coco
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