Overview
- Skill Key
- harrylabs0913/pattern-miner
- Author
- harrylabs0913
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/harrylabs0913/pattern-miner
- Latest Commit SHA
- 513ce8aa94e82a2f35509a777eebbca815801d41
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Pattern Miner 技能。 若已安装,则直接安装 Pattern Miner 技能。
# pattern-miner Skill
Intelligent pattern recognition and actionable insights from multi-source data.
## Description
The `pattern-miner` skill discovers hidden patterns in your workflow data (conversations, decisions, tasks) using machine learning techniques. It identifies recurring themes, associations, and anomalies, then generates actionable insights to improve productivity and decision-making.
## Installation
```bash
cd ~/.openclaw/workspace/skills/pattern-miner
npm install
npm run build
```
### Python Dependencies
```bash
pip install numpy scikit-learn pandas tree-sitter
```
## Usage
### CLI Commands
```bash
# Run pattern mining
pattern-miner mine
# Incremental mining (only new data)
pattern-miner mine --incremental
# List discovered patterns
pattern-miner list
pattern-miner list --type cluster
pattern-miner list --verbose
# Analyze specific patterns/insights
pattern-miner analyze
pattern-miner analyze --pattern <id>
pattern-miner analyze --insight <id>
pattern-miner analyze --category optimization
# Apply insights
pattern-miner apply --confirm
pattern-miner apply --insight <id> --confirm
pattern-miner apply --category automation --dry-run
# Show statistics
pattern-miner stats
# Export patterns
pattern-miner export --format json --output patterns.json
pattern-miner export --format csv --output patterns.csv
# Configuration
pattern-miner config --show
pattern-miner config --init
```
### Node.js API
```typescript
import { PatternMiner } from '@openclaw/skill-pattern-miner';
const miner = new PatternMiner({
minConfidence: 0.7,
minFrequency: 5,
analysisTypes: ['cluster', 'association', 'anomaly']
});
await miner.initialize();
// Run mining
const results = await miner.mine();
console.log(`Found ${results.summary.totalPatterns} patterns`);
console.log(`Generated ${results.summary.totalInsights} insights`);
// List patterns
const patterns = await miner.listPatterns();
const clusterPatterns = await miner.listPatterns('cluster', 10);
// List...
# Pattern Miner
🔍 Intelligent pattern recognition and actionable insights from multi-source data.
## Quick Start
```bash
# Install dependencies
cd ~/.openclaw/workspace/skills/pattern-miner
npm install
npm run build
# Install Python dependencies
pip install numpy scikit-learn pandas
# Run your first mining session
pattern-miner mine
# View results
pattern-miner list
pattern-miner stats
```
## What It Does
Pattern Miner analyzes your workflow data to discover:
- **Recurring patterns** in conversations and decisions
- **Hidden associations** between tasks and topics
- **Anomalies** that need attention
- **Actionable insights** to improve productivity
## Commands
| Command | Description |
|---------|-------------|
| `mine` | Run pattern mining on collected data |
| `list` | List discovered patterns |
| `analyze` | Analyze specific patterns or insights |
| `apply` | Apply insights to generate improvements |
| `stats` | Show mining statistics |
| `export` | Export patterns to file |
| `config` | Show or edit configuration |
## Example Output
```
🔍 Starting pattern mining...
✓ Collected 156 items
✓ Found 8 patterns
✓ Generated 5 insights
📊 Top Insights:
1. Recurring Pattern: Code review feedback patterns...
Found 12 similar items forming a pattern
→ Action: Review and standardize this pattern
2. Association: testing → documentation
These items frequently occur together (confidence: 0.82)
→ Action: Consider linking or automating these related items
```
## API Usage
```typescript
import { PatternMiner } from '@openclaw/skill-pattern-miner';
const miner = new PatternMiner();
await miner.initialize();
const results = await miner.mine();
console.log(`Found ${results.summary.totalPatterns} patterns`);
const insights = await miner.listInsights(undefined, true);
for (const insight of insights) {
console.log(`- ${insight.title}: ${insight.action}`);
}
```
## Configuration
Create `~/.pattern-miner/config.json`:
```json
{
"minConfidence":...
openstockdata
OpenClaw Skill for stock data analysis
capt-marbles
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discoverability and citation.
capgoblin
Access unsecured credit lines for AI agents on the Arc Network using the Credex Protocol. Use for borrowing USDC against reputation, repaying debt to grow credit limits, providing liquidity as an LP, or managing cross-chain USDC via Circle Bridge. Triggers on "borrow from credex", "repay debt", "deposit to pool", "check credit status", "provide liquidity", or any credit/lending task on Arc.
capt-marbles
Control PhantomBuster automation agents via API. List agents, launch automations, get output/results, check status, and abort running agents. Use when the user needs to run LinkedIn scraping, Twitter automation, lead generation phantoms, or any PhantomBuster workflow.
camelsprout
DuckDB CLI specialist for SQL analysis, data processing and file conversion. Use for SQL queries, CSV/Parquet/JSON analysis, database queries, or data conversion. Triggers on "duckdb", "sql", "query", "data analysis", "parquet", "convert data".
camohiddendj
DuckDuckGo HTML search scraper CLI with JSON, CSV, OpenSearch, markdown, and compact outputs.