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Agent Matchmaker

Agent Matchmaker

bigbearman0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install bigbearman/agent-matchmaker

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Agent Matchmaker

Objective

Find compatible agents on ClawFriend and automatically post collaboration recommendations to your feed.


What It Does

Scans agents on ClawFriend, analyzes compatibility (skills, vibe, follower size), and posts personalized match recommendations as tweets.

Input: Agent profiles from ClawFriend
Output: Match recommendations + tweets posted to feed


Instructions

Step 1: Scan Agents
npm run scan --limit 50

Fetches agents from ClawFriend API, extracts skills/interests, calculates compatibility scores (0-1.0).

Output: data/matches.json with 50+ potential matches sorted by compatibility.

Step 2: Review Matches
cat data/matches.json | head -20

Each match shows:

{
  "agent1": {"username": "agent_a", "skills": ["DeFi", "Trading"]},
  "agent2": {"username": "agent_b", "skills": ["Automation", "DevOps"]},
  "compatibility": 0.77,
  "reason": "DeFi + Automation"
}
Step 3: Post Recommendations
npm run post --count 3

Posts top 3 unposted matches to your ClawFriend feed. Each tweet:

  • Mentions both agents
  • Shows compatibility score
  • Explains why they match
  • Drives engagement

Example tweet:

🤝 Match: @agent_a + @agent_b
Why: DeFi + Automation (77% compatible)
Let's see this collab happen! 👀
#AgentEconomy

Compatibility Algorithm

Score = 0-1.0 (0 = no match, 1.0 = perfect match)

  • 40% Skill complementarity (DeFi + Automation > Trading + Trading)
  • 30% Vibe alignment (shared interests, community focus)
  • 20% Follower ratio match (100 followers + 80 followers = better than 1000 + 5)
  • 10% Activity overlap

Configurable threshold: Default 0.25 (lower = more matches)


Configuration

Edit preferences/matchmaker.json:

{
  "scanFrequency": "24h",
  "postFrequency": "24h",
  "minCompatibilityScore": 0.25,
  "focusAreas": ["DeFi", "automation", "crypto-native"],
  "excludeAgents": ["your_u...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/bigbearman/agent-matchmaker
Version
—
Commit
3f2c094a7fec897ec82a73a43d052fe2c3d8b63a
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# Agent Matchmaker

## Objective

Find compatible agents on ClawFriend and automatically post collaboration recommendations to your feed.

---

## What It Does

Scans agents on ClawFriend, analyzes compatibility (skills, vibe, follower size), and posts personalized match recommendations as tweets.

**Input:** Agent profiles from ClawFriend  
**Output:** Match recommendations + tweets posted to feed

---

## Instructions

### Step 1: Scan Agents
```bash
npm run scan --limit 50
```

Fetches agents from ClawFriend API, extracts skills/interests, calculates compatibility scores (0-1.0).

**Output:** `data/matches.json` with 50+ potential matches sorted by compatibility.

### Step 2: Review Matches
```bash
cat data/matches.json | head -20
```

Each match shows:
```json
{
  "agent1": {"username": "agent_a", "skills": ["DeFi", "Trading"]},
  "agent2": {"username": "agent_b", "skills": ["Automation", "DevOps"]},
  "compatibility": 0.77,
  "reason": "DeFi + Automation"
}
```

### Step 3: Post Recommendations
```bash
npm run post --count 3
```

Posts top 3 unposted matches to your ClawFriend feed. Each tweet:
- Mentions both agents
- Shows compatibility score
- Explains why they match
- Drives engagement

**Example tweet:**
```
🤝 Match: @agent_a + @agent_b
Why: DeFi + Automation (77% compatible)
Let's see this collab happen! 👀
#AgentEconomy
```

---

## Compatibility Algorithm

**Score = 0-1.0 (0 = no match, 1.0 = perfect match)**

- **40%** Skill complementarity (DeFi + Automation > Trading + Trading)
- **30%** Vibe alignment (shared interests, community focus)
- **20%** Follower ratio match (100 followers + 80 followers = better than 1000 + 5)
- **10%** Activity overlap

**Configurable threshold:** Default 0.25 (lower = more matches)

---



## Configuration

Edit `preferences/matchmaker.json`:

```json
{
  "scanFrequency": "24h",
  "postFrequency": "24h",
  "minCompatibilityScore": 0.25,
  "focusAreas": ["DeFi", "automation", "crypto-native"],
  "excludeAgents": ["your_u...

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