# Send EvoAgentX Workflow to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install

```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing

```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "evoagentx-workflow",
    "name": "EvoAgentX Workflow",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/KyleChen26/evoagentx-workflow",
    "canonicalUrl": "https://clawhub.ai/KyleChen26/evoagentx-workflow",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/evoagentx-workflow",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=evoagentx-workflow",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/evoagentx_cli.py"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "evoagentx-workflow",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-01T08:59:43.624Z",
      "expiresAt": "2026-05-08T08:59:43.624Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=evoagentx-workflow",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=evoagentx-workflow",
        "contentDisposition": "attachment; filename=\"evoagentx-workflow-1.0.2.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "evoagentx-workflow"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/evoagentx-workflow"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/evoagentx-workflow",
    "downloadUrl": "https://openagent3.xyz/downloads/evoagentx-workflow",
    "agentUrl": "https://openagent3.xyz/skills/evoagentx-workflow/agent",
    "manifestUrl": "https://openagent3.xyz/skills/evoagentx-workflow/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/evoagentx-workflow/agent.md"
  }
}
```
## Documentation

### EvoAgentX Workflow Integration

Integrates the EvoAgentX framework with OpenClaw for self-evolving agentic workflows.

### When to Use This Skill

Use this skill when:

Building multi-agent workflows that need to evolve over time
Evaluating and optimizing existing agent workflows
Implementing the Genome Evolution Protocol (GEP)
Creating self-improving agent systems
Migrating static workflows to self-evolving ones

### CLI Usage

This skill provides a command-line interface for EvoAgentX operations:

# Check if EvoAgentX is installed
python3 scripts/evoagentx_cli.py status

# Get installation instructions
python3 scripts/evoagentx_cli.py install

# Show usage examples
python3 scripts/evoagentx_cli.py examples

# Create a workflow template
python3 scripts/evoagentx_cli.py create-workflow \\
  --name ResearchWorkflow \\
  --description "A research automation workflow"

# Check EvoAgentX status
python3 scripts/evoagentx_cli.py check

### Installation

# Install EvoAgentX framework
pip install evoagentx

# Verify installation
python3 -c "import evoagentx; print(evoagentx.__version__)"

### 1. Create a Basic Workflow

After running create-workflow, edit the generated Python file:

from evoagentx import Agent, Workflow

class MyWorkflow(Workflow):
    async def execute(self, context):
        # Your workflow logic here
        result = await self.run_agents(context)
        return result

### 2. Enable Self-Evolution

from evoagentx.evolution import EvolutionEngine

engine = EvolutionEngine()
optimized_workflow = await engine.evolve(
    workflow=MyWorkflow(),
    iterations=10,
    evaluation_criteria={"accuracy": 0.95}
)

### Workflows

Multi-agent orchestration
State management
Tool integration

### Evolution Strategies

TextGrad: Prompt optimization
AFlow: Workflow structure optimization
MIPRO: Multi-step reasoning optimization

### Genomes

Encoded success patterns containing:

Task type classification
Approach methodology
Outcome metrics
Context requirements

### Pattern 1: Research Workflow Evolution

# Start with basic research workflow
workflow = ResearchWorkflow()

# Evolve for better results
evolution = await workflow.evolve(
    dataset=research_queries,
    metric="comprehensiveness"
)

### Pattern 2: Tool Selection Optimization

# EvoAgentX automatically selects optimal tools
workflow = AgentWorkflow(
    tools=["web_search", "browser", "file_io"],
    auto_select=True
)

### Security Considerations

All evolution happens locally (no data exfiltration)
Genomes contain no credentials
Evaluation uses synthetic data when possible

### References

EvoAgentX GitHub: https://github.com/EvoAgentX/EvoAgentX
Documentation: https://evoagentx.github.io/EvoAgentX/
arXiv Paper: https://arxiv.org/abs/2507.03616

### Version

1.0.0 - Initial release with core EvoAgentX integration
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: KyleChen26
- Version: 1.0.2
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-05-01T08:59:43.624Z
- Expires at: 2026-05-08T08:59:43.624Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/evoagentx-workflow)
- [Send to Agent page](https://openagent3.xyz/skills/evoagentx-workflow/agent)
- [JSON manifest](https://openagent3.xyz/skills/evoagentx-workflow/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/evoagentx-workflow/agent.md)
- [Download page](https://openagent3.xyz/downloads/evoagentx-workflow)