Agent skill · Data & Analytics

dispatching-parallel-investigations

Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks

K-Dense-AIgithub.com/K-Dense-AIGitHub ↗
claude-codeNOASSERTION
Install
npx skills add K-Dense-AI/science-superpowers --skill dispatching-parallel-investigations --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/dispatching-parallel-investigations/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 280
Language: Shell

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Dispatching Parallel Investigations ## Overview You delegate investigations to specialized agents with isolated context. By precisely crafting their instructions, you keep each focused and preserve your own context for synthesis. They never inherit your session history — you construct exactly what each needs. When you have multiple independent investigations (different datasets, different sub-topics in a literature survey, different pre-specified robustness checks), running them sequentially wastes time. Each is independent and can run in parallel. **Core principle:** One agent per independent investigation. Let them run concurrently, then synthesize. ## The Pre-Registration Guard (read first) Parallelism multiplies researcher degrees of freedom. If you dispatch 20 specifications and report the one that "works," you have p-hacked at scale — parallelism made it faster, not more honest. - **Pre-specified robustness checks are fine in parallel** — they were registered, and you report all of them. - **Exploratory analyses are fine in parallel** — as long as every result is labeled exploratory and none is promoted to confirmatory. - **Never** use parallel dispatch to search the specif

What's inside
Steps it walks through
  1. Overview
  2. The Pre-Registration Guard (read first)
  3. When to Use
  4. The Pattern
  5. 1. Identify Independent Investigations
  6. 2. Create Focused Agent Tasks
  7. 3. Dispatch in Parallel
  8. 4. Synthesize and Verify
  9. Agent Prompt Structure
  10. Common Mistakes
  11. Verification
  12. Integration
More from science-superpowers
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About this skill
What does the dispatching-parallel-investigations skill do?

Use when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks

How do I install it?

Run `npx skills add K-Dense-AI/science-superpowers --skill dispatching-parallel-investigations --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From K-Dense-AI/science-superpowers, a repository with 280 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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