parallel-agents

Parallel Agent Orchestration

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Install skill "parallel-agents" with this command: npx skills add parcadei/continuous-claude-v3/parcadei-continuous-claude-v3-parallel-agents

Parallel Agent Orchestration

When launching multiple agents in parallel, follow this pattern to avoid context bloat.

Core Principles

  • No TaskOutput calls - TaskOutput returns full agent output, bloating context

  • Run in background - Always use run_in_background: true

  • File-based confirmation - Agents write status to files, not return values

  • Append, don't overwrite - Multiple agents can write to same status file

Output Patterns

Simple Confirmation (parallel batch work)

For tasks where agents just need to confirm completion:

Agent writes to shared status file

echo "COMPLETE: <task-name> - $(date)" >> .claude/cache/<batch-name>-status.txt

  • Use >> to append (not > which overwrites)

  • Include timestamp for ordering

  • One line per agent completion

  • Check with: cat .claude/cache/<batch-name>-status.txt

Detailed Output (research/exploration)

For tasks requiring detailed findings:

.claude/cache/agents/<task-type>/<agent-id>/ ├── output.md # Main findings ├── artifacts/ # Any generated files └── status.txt # Completion confirmation

  • Each agent gets own directory

  • Full output preserved for later reading

  • Status file still used for quick completion check

Task Prompt Template

Task: <TASK_NAME>

Your Mission

<clear objective>

Output

When done, write confirmation: ```bash echo "COMPLETE: <identifier> - $(date)" >> .claude/cache/<batch>-status.txt ```

Do NOT return large output. Complete work silently.

Launching Pattern

// Launch all in single message block (parallel) Task({ description: "Task 1", prompt: "...", subagent_type: "general-purpose", run_in_background: true }) Task({ description: "Task 2", prompt: "...", subagent_type: "general-purpose", run_in_background: true }) // ... up to 15 parallel agents

Monitoring

Check completion status

cat .claude/cache/<batch>-status.txt

Count completions

wc -l .claude/cache/<batch>-status.txt

Watch for updates

tail -f .claude/cache/<batch>-status.txt

Batch Size

  • Max 15 agents per parallel batch

  • Wait for batch to complete before launching next

  • Use status file to track which completed

DO

  • Use run_in_background: true always

  • Have agents write to status files

  • Use append (>> ) not overwrite (> )

  • Give each agent clear, self-contained instructions

  • Include all context in prompt (agents don't share memory)

DON'T

  • Call TaskOutput (bloats context)

  • Return large outputs from agents

  • Launch more than 15 at once

  • Rely on agent return values for orchestration

Example: Provider Backfill

Status file

.claude/cache/provider-backfill-status.txt

Each agent appends on completion

echo "COMPLETE: anthropic - Thu Jan 2 12:34:56 2025" >> .claude/cache/provider-backfill-status.txt echo "COMPLETE: openai - Thu Jan 2 12:35:12 2025" >> .claude/cache/provider-backfill-status.txt

Check progress:

cat .claude/cache/provider-backfill-status.txt

COMPLETE: anthropic - Thu Jan 2 12:34:56 2025

COMPLETE: openai - Thu Jan 2 12:35:12 2025

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