# Send Recommend 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": "recommend",
    "name": "Recommend",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/ivangdavila/recommend",
    "canonicalUrl": "https://clawhub.ai/ivangdavila/recommend",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/recommend",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=recommend",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "categories.md",
      "sources.md"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "recommend",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-08T00:36:05.342Z",
      "expiresAt": "2026-05-15T00:36:05.342Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=recommend",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=recommend",
        "contentDisposition": "attachment; filename=\"recommend-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "recommend"
      },
      "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/recommend"
    },
    "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/recommend",
    "downloadUrl": "https://openagent3.xyz/downloads/recommend",
    "agentUrl": "https://openagent3.xyz/skills/recommend/agent",
    "manifestUrl": "https://openagent3.xyz/skills/recommend/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/recommend/agent.md"
  }
}
```
## Documentation

### Core Loop

Context → Preferences → Research → Match → Recommend

Every recommendation requires: knowing the user + knowing the options.

Check sources.md for where to find user context. Check categories.md for domain-specific factors.

### Step 1: Context Gathering

Before recommending, search user context. See sources.md for full source list.

Minimum output: 3-5 relevant user signals before proceeding. If insufficient, ask targeted questions.

### Step 2: Preference Extraction

From gathered context, extract:

DimensionQuestionValuesWhat matters most? (Quality, price, speed, novelty, safety)ConstraintsHard limits? (Budget, time, dietary, ethical)HistoryWhat worked? What disappointed?MoodAdventurous or safe? Exploring or comfort?

Output: 3-5 bullet preference profile for this request.

### Step 3: Research Options

Now—and only now—research candidates:

Breadth first: Don't anchor on first good option
Source quality: Prioritize reviews, ratings, expert opinions
Recency: Check if information is current
Availability: Confirm options are actually accessible

Output: Shortlist of 3-7 viable candidates with key attributes.

### Step 4: Match & Rank

Score each candidate against the preference profile:

Candidate → Values alignment + Constraint fit + History match + Mood fit

Disqualify anything that violates hard constraints.

Rank by total alignment, not just one dimension.

### Step 5: Recommend

Present 1-3 recommendations:

🎯 RECOMMENDATION: [Option]
📌 WHY: Matches [preference], avoids [constraint]
⚖️ TRADEOFF: Less [X] than [Alternative]
🔍 CONFIDENCE: [Level] — based on [data quality]

### Adaptive Learning

After each recommendation:

Track outcome: Accepted? Modified? Rejected?
Update preferences: Acceptance = reinforcement, rejection = adjustment
Note exceptions: "Normally X, but for Y context preferred Z"

Store learnings in memory for future recommendations.

### Traps

Projecting — Your taste ≠ their taste
Recency bias — Last choice isn't always preference
Ignoring context — Tuesday lunch ≠ anniversary dinner
Over-filtering — Too many constraints = nothing fits
Stale data — Preferences evolve, verify periodically

Recommendations are predictions. More context = better predictions.
## 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: 2026-05-08T00:36:05.342Z
- Expires at: 2026-05-15T00:36:05.342Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/recommend)
- [Send to Agent page](https://openagent3.xyz/skills/recommend/agent)
- [JSON manifest](https://openagent3.xyz/skills/recommend/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/recommend/agent.md)
- [Download page](https://openagent3.xyz/downloads/recommend)