# Run Parallel Research with Ten Agents

Linear research can miss perspectives and take too long on broad questions. This skill directs users to a ten-agent workflow for parallel collection and synthesis.

## Install

```bash
npx skillstore add sickn33/infinite-gratitude
```

## Metadata

- Status: approved
- Slug: sickn33-infinite-gratitude
- Skillstore revision: r2
- Version status: missing
- Tree hash: 9f2e963d5db8a853b83e235d9d85e9e30bd7fbafb8efd5679e37257d5a463042
- Author: sickn33
- GitHub username: sickn33
- License: MIT
- Repository: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/infinite-gratitude
- Ref: 88a8e9a07f4c54ab105c1c41b6267c287146b07b
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 79
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/sickn33-infinite-gratitude
- Manifest: https://skillstore.pages.dev/api/skills/sickn33-infinite-gratitude/manifest

## Capabilities

- Introduces a ten-agent approach for parallel research.
- Identifies broad, extensive research as the intended task type.
- Encourages gathering multiple perspectives before synthesis.
- Links to the source repository for full installation and usage details.
- Provides a manual command for cloning the external repository.

## Use Cases

- Build a literature overview: Divide a broad topic into parallel evidence tracks, then combine agreements, disagreements, and open questions.
- Compare market options: Research competitors, customers, pricing, regulations, and risks concurrently before preparing a strategic comparison.
- Prepare a decision brief: Collect technical, financial, operational, and stakeholder evidence in parallel for a time-sensitive decision.

## Prompt Templates

### Research a topic

```
Use Infinite Gratitude to research [topic]. Summarize the main findings and list the supporting sources.
```

### Compare two options

```
Research [option A] and [option B] in parallel. Compare evidence, tradeoffs, uncertainties, and source quality.
```

### Map an evidence landscape

```
Assign parallel tracks for [topic]: history, current evidence, stakeholders, risks, alternatives, and open questions. Synthesize agreements and conflicts.
```

### Create a decision dossier

```
Run ten parallel research tracks on [decision]. Define distinct scopes, require citations, reconcile contradictions, and produce recommendations with confidence levels.
```

## Limitations

- The package contains an overview, not the complete orchestration workflow.
- Installation and detailed usage depend on a mutable external repository.
- Parallel research may produce conflicting or duplicated findings.
- Research outputs still require source verification and expert review.

## Best Practices

- Define distinct research tracks before starting parallel work.
- Require citations and publication dates for important claims.
- Reconcile contradictions and state uncertainty in the final synthesis.

## Anti Patterns

- Do not use ten agents for a narrow fact lookup.
- Do not merge duplicate claims without checking their original sources.
- Do not present agent consensus as proof of factual accuracy.

## Security Audit

- Audited at: 2026-07-24T01:19:23.691\+00:00
- Summary: Three static findings are false positives because they are inert metadata, citations, or Markdown fencing. Two low-risk findings are confirmed because the skill delegates guidance and cloning to a mutable external repository. No prompt injection or additional intent-level threat was found.

## Stats

- Views: 102
- Downloads: 12
- Favorites: 0
- Popularity score: 0