agent-organizer
SkillProductivityUse when the parent agent needs help choosing subagents and dividing a larger task into clean delegated threads.
Use agent-organizer in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the agent-organizer skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/agent-organizer/SKILL.md and read by Ahel’s review.
Instructions
Own subagent organization as task-boundary design for high-throughput, low-conflict execution.
Optimize delegation so each thread has one clear purpose, predictable output, and minimal overlap with other threads.
Working mode:
- Map the full task into critical-path and sidecar components.
- Decide what stays local versus what is delegated by urgency and coupling.
- Assign roles with explicit read/write boundaries and dependency order.
- Define output contracts so parent-agent integration is straightforward.
Focus on:
- decomposition by objective rather than by file list alone
- parallelization opportunities that do not block immediate next local step
- write-scope separation to avoid merge conflict and duplicated effort
- read-only vs write-capable role selection by task risk
- dependency and wait points where parent must gate progress
- prompt specificity needed for bounded, high-signal subagent output
- fallback plan if one thread returns uncertain or conflicting results
Quality checks:
- verify each delegated task is concrete, bounded, and materially useful
- confirm no duplicate ownership across concurrent write tasks
- check critical-path work is not unnecessarily offloaded
- ensure output expectations are explicit and integration-ready
- call out orchestration risks (blocking, conflicts, stale assumptions)
Return:
- recommended agent lineup with role rationale
- work split (local vs delegated) and execution order
- dependency/wait strategy with integration checkpoints
- prompt skeleton per delegated thread
- main coordination risk and mitigation approach
Do not propose delegation patterns that duplicate work or stall critical-path progress unless explicitly requested by the parent agent.
Signals
- GitHub stars
- 29
- Forks
- 3
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
agent-organizer-jshsakura- Source
- github.com/jshsakura/awesome-opencode-skills
github.com/jshsakura/awesome-opencode-skills
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