mesh-flow (version 2) for general ai agentic (codex, claude code, opencode)
by Roy Yuen
Transform brittle prompt chains into robust, artifact-driven DAG workflows with hard gates and explicit traces.
- Design complex multi-node agent workflows in structured YAML
- Enforce human-in-the-loop approval gates for critical agent actions
- Generate Mermaid diagrams to visualize agent orchestration logic
$6
One-time purchase
Included in download
- Design complex multi-node agent workflows in structured YAML
- Enforce human-in-the-loop approval gates for critical agent actions
- terminal, file_read, file_write automation included
- Includes example output and usage patterns
See it in action
$ mesh compile project.yaml ✓ Topology validated (5 nodes) ✓ Artifact contracts resolved ✓ Emitted: execution-plan.json $ mesh run execution-plan.json [1/5] draft-plan: DONE (Artifact: plan_v1) [2/5] review: BLOCKED (Gate: human_approval required) Waiting for operator...
mesh-flow (version 2) for general ai agentic (codex, claude code, opencode)
by Roy Yuen
Transform brittle prompt chains into robust, artifact-driven DAG workflows with hard gates and explicit traces.
$6
One-time purchase
⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →
Included in download
- Design complex multi-node agent workflows in structured YAML
- Enforce human-in-the-loop approval gates for critical agent actions
- terminal, file_read, file_write automation included
- Includes example output and usage patterns
- Instant install
See it in action
$ mesh compile project.yaml ✓ Topology validated (5 nodes) ✓ Artifact contracts resolved ✓ Emitted: execution-plan.json $ mesh run execution-plan.json [1/5] draft-plan: DONE (Artifact: plan_v1) [2/5] review: BLOCKED (Gate: human_approval required) Waiting for operator...
About This Skill
Artifact-Driven DAG Orchestration
Modern AI agents often fail because of brittle, implicit prompt-chaining. Mesh Flow solves this by providing a robust compile-then-run DAG system that moves orchestration logic out of prompts and into a structured framework. It ensures your multi-agent workflows are predictable, verifiable, and governed by hard-coded logic rather than model probabilities.
What it does
- Decouples Topology from Logic: Define your workflow in a single
project.yamlidentifying nodes by what artifacts they consume and produce. - Strict Validation: The compiler checks for circular dependencies, missing artifact producers, and schema violations before execution starts.
- Enforced Hard Gates: Implement human-in-the-loop approvals, artifact presence checks, and custom verifiers that models cannot bypass.
- Standardized Adapter Contract: Provides a uniform interface for all skill nodes, ensuring consistent trace logging and error reporting.
Why use this skill
Unlike simple sequential prompting, Mesh Flow offers a professional state machine with three distinct failure states (failed, blocked, rejected) and automated recovery paths. It includes a CLI for local validation, execution, and generating Mermaid visualizations of your agent's decision graph. This is essential for developers building production-grade agentic systems where reliability and observability are non-negotiable.
📖 Learn more: Best DevOps & Deployment Skills for Claude Code →
Use Cases
- Design complex multi-node agent workflows in structured YAML
- Enforce human-in-the-loop approval gates for critical agent actions
- Generate Mermaid diagrams to visualize agent orchestration logic
- Validate artifact dependencies before running expensive model chains
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/mesh-flow-version-2-for-general-ai-agentic-codex-claude-code-opencode | tar xz -C ~/.claude/skills/Free skills install directly. Paid skills require purchase - use the download button above after buying.
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