stream-chain
Build Streamed Multi-Agent Workflows
Sequential AI workflows often lose context between steps. This skill defines stream-chain patterns that pass each result into the next task.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "stream-chain" from https://skillstore.io/skills/dnyoussef-stream-chain.md and its manifest at https://skillstore.io/api/skills/dnyoussef-stream-chain/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "stream-chain". Analyze a payment module, improve reliability, and generate tests.
Expected outcome:
A staged workflow with analysis findings, prioritized fixes, targeted tests, and a final verification summary.
Using "stream-chain". Run a migration assistant for a legacy frontend project.
Expected outcome:
A migration plan that lists breaking changes, update priorities, validation tasks, and documentation needs.
Using "stream-chain". Create a data quality workflow for imported customer records.
Expected outcome:
A chain that extracts records, normalizes fields, validates quality, enriches missing context, and reports issues.
Security Audit
SafeAll 87 static findings are false positives caused by Markdown inline code and fenced examples in SKILL.md. The skill is documentation for stream-chain workflows and does not contain executable scripts, network calls, credential access, or prompt-injection language. No semantic security issues were found.
Risk Factors
⚙️ External commands (87)
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https://skillstore.io/skills/dnyoussef-stream-chain/audits/8?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<a href="https://skillstore.io/skills/dnyoussef-stream-chain?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dnyoussef-stream-chain/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/dnyoussef-stream-chain.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
DNYoussef. (2026). stream-chain security audit report (audit version 8) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/dnyoussef-stream-chain/audits/8BibTeX citation
@techreport{dnyoussef-dnyoussef-stream-chain-2026,
author = {DNYoussef},
title = {stream-chain security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/dnyoussef-stream-chain/audits/8},
note = {Author version 1.0.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "stream-chain security audit report (audit version 8)"
version: "1.0.0"
type: report
authors:
- name: "DNYoussef"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/dnyoussef-stream-chain/audits/8"
identifiers:
- type: other
value: "skillstore:dnyoussef-stream-chain:audit:8"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
dnyoussef-stream-chain
2026-08-21
ruvnet-stream-chain
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Plan a feature delivery chain
Create a sequence that analyzes requirements, designs architecture, implements code, writes tests, and documents the result.
Audit code quality systematically
Run analysis, refactor, test, and optimization steps as a repeatable review workflow.
Transform project data through stages
Structure extraction, normalization, validation, enrichment, and reporting tasks as a chained data workflow.
Try These Prompts
Create a stream-chain workflow that analyzes a small module, suggests improvements, and writes a short action plan.
Show how to run the analysis pipeline, explain each stage, and describe the expected final report.
Build a five-step stream-chain plan for a new API feature, including design, implementation, tests, documentation, and review.
Create an advanced migration chain with validation steps, timeout guidance, debug usage, and a final rollback checklist.
Best Practices
- Use specific prompts so each chain step has a measurable result.
- Place verification steps after implementation or transformation steps.
- Increase timeouts for analysis, migration, or large codebase workflows.
Avoid
- Do not use vague prompts such as check everything or improve code.
- Do not chain unrelated tasks that need separate context or review.
- Do not skip validation when a chain changes code or data structures.