# Chain Agent Pipelines With Streamed Outputs

Agent workflows often lose context between stages. This skill shows how to pass outputs through memory or streams with validation steps.

## Install

```bash
npx skillstore add dnyoussef/when-chaining-agent-pipelines-use-stream-chain
```

## Metadata

- Status: approved
- Slug: dnyoussef-when-chaining-agent-pipelines-use-stream-chain
- Version: 1.0.0
- Author version: 1.0.0
- Skillstore revision: r1
- Version status: valid
- Tree hash: 852980ff195e681e2c3fd9e0f330561879b3ff678fb6e3ba18032e77815469fd
- Author: DNYoussef
- GitHub username: DNYoussef
- License: MIT
- Repository: https://github.com/DNYoussef/ai-chrome-extension/tree/main/.claude/skills/workflow/when-chaining-agent-pipelines-use-stream-chain
- Ref: 0519034dad657fb1f7706e0550e962beeda73fdf
- 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
- Quality score: 79
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/dnyoussef-when-chaining-agent-pipelines-use-stream-chain
- Manifest: https://skillstore.pages.dev/api/skills/dnyoussef-when-chaining-agent-pipelines-use-stream-chain/manifest

## Capabilities

- Outlines sequential, parallel, and hybrid agent pipeline patterns.
- Shows how to connect agent stages through memory or streams.
- Provides Claude Flow command examples for design, execution, monitoring, and validation.
- Defines success criteria for latency, throughput, error rate, and data integrity.
- Lists common pipeline issues and practical solutions.

## Use Cases

- Plan Release Automation: Design a staged release workflow where research, coding, testing, and review agents pass validated outputs forward.
- Connect AI Research Flows: Route findings from one agent into analysis and synthesis agents without losing intermediate state.
- Monitor Pipeline Quality: Track latency, throughput, backpressure, and validation results across chained agent stages.

## Prompt Templates

### Design a Basic Pipeline

```
Use this skill to design a three-stage research, code, and test pipeline. Show each stage, input, output, and validation point.
```

### Add Streaming Between Stages

```
Convert my existing agent pipeline into a stream-based flow. Identify channels, buffers, monitoring points, and error handling.
```

### Compare Pipeline Strategies

```
Review this task list and propose sequential, parallel, and hybrid agent pipeline options. Explain tradeoffs and selection criteria.
```

### Operate a Production Pipeline

```
Design a monitored agent pipeline for a release workflow. Include state management, backpressure handling, validation, and recovery steps.
```

## Limitations

- Relies on Claude Flow commands that must be installed and trusted by the user.
- Does not provide runnable application code beyond command examples and workflow steps.
- Does not verify package integrity, command output, or environment safety.
- Assumes users understand agent coordination and pipeline concepts.

## Best Practices

- Review each external command before execution and pin trusted package versions.
- Define stage inputs, outputs, validation points, and failure handling before running agents.
- Monitor throughput, latency, backpressure, and data integrity during long workflows.

## Anti Patterns

- Running npx commands from examples without confirming package source and version.
- Passing unvalidated outputs directly into later agents.
- Adding parallelism before dependencies and merge rules are clear.

## Security Audit

- Audited at: 2026-07-09T12:08:42.556\+00:00
- Summary: Actual bash examples in PROCESS.md and SKILL.md instruct users to run npx claude-flow@alpha, so those command blocks remain confirmed medium risks. Many static hits were only markdown fences, headings, or diagrams and were marked false positive. No prompt injection, credential access, or data exfiltration intent was found.

## Stats

- Views: 187
- Downloads: 7
- Favorites: 0
- Popularity score: 0