Mesh Flow
by Roy Yuen
A compile-then-run DAG orchestration system for building rigorous, artifact-driven agentic workflows.
- Build multi-step agent pipelines with hard verification gates
- Enforce human-in-the-loop approval before sensitive code deployments
- Visualize complex agent task dependencies using Mermaid DAGs
$15
One-time purchase · Own forever
Included in download
- Build multi-step agent pipelines with hard verification gates
- Enforce human-in-the-loop approval before sensitive code deployments
- terminal automation included
- Includes example output and usage patterns
See it in action
Compiling project.yaml... OK Graph validated: 4 nodes, 0 cycles. Running logic-check [ID: draft-plan]... Status: DONE Artifacts Created: [arch-spec-v1] Gate: all_artifacts_present (PASSED) Next Nodes: [generate-tests, write-code] Trace logged to .mesh/traces/run_a92b.json
Mesh Flow
by Roy Yuen
A compile-then-run DAG orchestration system for building rigorous, artifact-driven agentic workflows.
$15
One-time purchase · Own forever
⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →
Included in download
- Build multi-step agent pipelines with hard verification gates
- Enforce human-in-the-loop approval before sensitive code deployments
- terminal automation included
- Includes example output and usage patterns
- Instant install
See it in action
Compiling project.yaml... OK Graph validated: 4 nodes, 0 cycles. Running logic-check [ID: draft-plan]... Status: DONE Artifacts Created: [arch-spec-v1] Gate: all_artifacts_present (PASSED) Next Nodes: [generate-tests, write-code] Trace logged to .mesh/traces/run_a92b.json
About This Skill
What it does
Mesh Flow replaces fragile, implicit prompt-chaining with a robust, artifact-driven DAG (Directed Acyclic Graph) orchestration system. By defining your agent workflows in a structured project.yaml, you move logic out of the prompt and into a compile-time validated system. It enforces hard gates—such as human approval or dependency verification—that the AI cannot bypass or hallucinate past.
Why use this skill
Standard agentic workflows often fail because the LLM decides to skip steps or "forgets" requirements. Mesh Flow treats your agentic workflow like a CI/CD pipeline. It features a Compile-then-Run architecture that validates your topology for cycles and missing artifacts before single token is generated. This ensures 100% predictable execution paths, explicit failure states (failed, blocked, rejected), and absolute control over recovery paths.
Supported tools
- YAML-based workflow configurations
- Standardized Adapter Interfaces for cross-skill communication
- Mermaid DAG visualization for debugging
- Zod-backed schema validation
- CLI tools for compilation and execution (mesh compile, mesh run)
Output structure
The skill produces a normalized execution plan and a detailed execution trace. Every node execution returns a standardized status, a list of produced artifacts, and comprehensive metadata including tool calls and verification reasoning.
📖 Learn more: Best DevOps & Deployment Skills for Claude Code →
Use Cases
- Build multi-step agent pipelines with hard verification gates
- Enforce human-in-the-loop approval before sensitive code deployments
- Visualize complex agent task dependencies using Mermaid DAGs
- Standardize artifact sharing between disparate AI skills and agents
How to Install
unzip mesh-flow.zip -d ~/.claude/skills/Reviews
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