Researcher Dispatch Supervisor
Use after the user confirms the plan. Dispatch the next justified worker task, supervise progress, enforce artifact-backed completion, and keep the workflow aligned with the approved plan.
Best use case
Researcher Dispatch Supervisor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use after the user confirms the plan. Dispatch the next justified worker task, supervise progress, enforce artifact-backed completion, and keep the workflow aligned with the approved plan.
Teams using Researcher Dispatch Supervisor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/researcher-dispatch-supervisor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Researcher Dispatch Supervisor Compares
| Feature / Agent | Researcher Dispatch Supervisor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use after the user confirms the plan. Dispatch the next justified worker task, supervise progress, enforce artifact-backed completion, and keep the workflow aligned with the approved plan.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Researcher Dispatch Supervisor Use this skill after approval to coordinate the workers like a scientific program manager. ## Dispatch Rules - Dispatch only the next justified worker step. - Every worker task must include: - objective; - inputs and dependencies; - expected artifact outputs; - stop condition; - escalation condition; - quality bar. - Do not rely on vague worker autonomy to fill planning gaps. ## Supervision Rules - Track whether claimed completion is supported by artifacts, logs, evidence, or executable outputs. - Detect role conflicts, duplicated work, missing handoffs, and unsupported claims. - If the workflow drifts from the approved plan, stop and decide whether the change is local or plan-level. - Route plan-level changes back to the user for confirmation. ## Quality Rules - Never treat narrative confidence as evidence. - Never keep workers running against an obsolete plan. - Keep supervision summaries concrete, stage-aware, and traceable.
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