# Send Automate 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": "automate",
    "name": "Automate",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/ivangdavila/automate",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/automate",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/automate",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=automate",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "signals.md",
      "templates.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "automate",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T08:00:21.064Z",
      "expiresAt": "2026-05-07T08:00:21.064Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=automate",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=automate",
        "contentDisposition": "attachment; filename=\"automate-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "automate"
      },
      "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/automate"
    },
    "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/automate",
    "downloadUrl": "https://openagent3.xyz/downloads/automate",
    "agentUrl": "https://openagent3.xyz/skills/automate/agent",
    "manifestUrl": "https://openagent3.xyz/skills/automate/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/automate/agent.md"
  }
}
```
## Documentation

### Core Principle

LLMs are expensive, slow, and probabilistic. Scripts are free, fast, and deterministic.

Every time you do something twice that could be scripted, you're wasting:

Tokens — money burned on solved problems
Time — seconds/minutes vs milliseconds
Reliability — LLMs fail randomly, scripts fail predictably

Check signals.md for detection patterns. Check templates.md for common script patterns.

### The Automation Test

Before doing any task, ask:

Is this deterministic? Same input → same output every time?
Is this repetitive? Will this happen again?
Is this rule-based? Can I write down the exact steps?

If yes to all three → script it, don't LLM it.

### Script vs LLM Decision Matrix

Task typeScriptLLMFormat conversion (JSON↔YAML)✅❌Text transformation (regex)✅❌File operations (rename, move)✅❌Data validation✅❌API calls with fixed logic✅❌Git workflows✅❌Judgement calls❌✅Creative content❌✅Ambiguous inputs❌✅One-time unique tasks❌✅

### Automation Triggers

When you notice yourself:

Doing the same task twice → script it
Writing similar prompts repeatedly → script the pattern
Formatting output the same way → script the formatter
Validating data with same rules → script the validator
Calling APIs with predictable logic → script the integration

### Automation Proposal Format

When you spot an opportunity:

🔧 Automation opportunity

Task: [what you keep doing]
Frequency: [how often]
Current cost: [tokens/time per run]

Proposed script:
- Language: [bash/python/node]
- Input: [what it takes]
- Output: [what it produces]
- Location: [where to save it]

Estimated savings: [tokens/time saved per month]

Should I write it?

### Script Standards

When writing automation:

Single purpose — one script, one job
Idempotent — safe to run multiple times
Documented — usage in comments at top
Logged — output what you're doing
Fail loud — exit codes, error messages
No secrets hardcoded — env vars or keychain

### Tracking Automations

Document what you've built:

### Active Scripts
- scripts/format-json.sh — JSON prettifier [saved ~2k tokens/week]
- scripts/deploy-staging.sh — one-command deploy [saved 5min/deploy]
- scripts/sync-env.sh — env file sync [eliminated manual errors]

### Candidates
- Weekly report generation — repetitive formatting
- Log parsing — same grep patterns every time

### The 3x Rule

If you do something 3 times, it must become a script.

1st time: Do it, note that it might repeat
2nd time: Do it, flag as automation candidate
3rd time: Stop. Write the script first, then run it.

### Anti-Patterns

Don'tDo insteadRe-prompt for same transformationWrite a script onceUse LLM for data validationWrite validation rulesBurn tokens on formattingUse formatters (prettier, jq, etc.)Ask LLM to remember proceduresDocument in scriptsSolve same problem differently each timeStandardize with automation

Every script written = permanent token savings. Compound your efficiency.
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: ivangdavila
- Version: 1.0.0
## 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: 2026-04-30T08:00:21.064Z
- Expires at: 2026-05-07T08:00:21.064Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/automate)
- [Send to Agent page](https://openagent3.xyz/skills/automate/agent)
- [JSON manifest](https://openagent3.xyz/skills/automate/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/automate/agent.md)
- [Download page](https://openagent3.xyz/downloads/automate)