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martin-ai-automation-workflowsMartin AI 自动化工作流程

Agent Skill

martin-ai-automation-workflows 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:martin-ai-automation-workflows(Martin AI 自动化工作流程)
来源仓库:https://github.com/kirkraman/martin-ai-automation-workflows
安装命令:
openclaw skills install martin-ai-automation-workflows
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install martin-ai-automation-workflows

简介

martin-ai-automation-workflows 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 通过 SkillBoss API Hub 构建结合多个模型和服务的自动化 AI 工作流程,支持批处理、计划任务和事件驱动管道等模式。
  • 通过 clawhub 安装,命令为 openclaw skills install martin-ai-automation-workflows,需结合来源仓库和 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 当前信息基于原始 SKILL.md 摘录,部分功能描述可能不完整,需进一步查阅文档确认细节。

SKILL.md

name
ai-automation-workflows
description
Build automated AI workflows combining multiple models and services via SkillBoss API Hub. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: bash scripting, Python SDK, curl, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai orchestration
allowed-tools
Bash(curl *)

AI Automation Workflows

Build automated AI workflows via SkillBoss API Hub.

Quick Start

export SKILLBOSS_API_KEY="your_key_here"

# Simple automation: Generate daily image
curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "image",
    "inputs": {"prompt": "Inspirational quote background, minimalist design, date: '"$(date +%Y-%m-%d)"'"},
    "prefer": "quality"
  }'

Automation Patterns

Pattern 1: Batch Processing

Process multiple items with the same workflow.

#!/bin/bash
# batch_images.sh - Generate images for multiple prompts

PROMPTS=(
  "Mountain landscape at sunrise"
  "Ocean waves at sunset"
  "Forest path in autumn"
  "Desert dunes at night"
)

for prompt in "${PROMPTS[@]}"; do
  echo "Generating: $prompt"
  curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
    -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"type\": \"image\", \"inputs\": {\"prompt\": \"$prompt, professional photography, 4K\"}, \"prefer\": \"quality\"}" \
    > "output_${prompt// /_}.json"
  sleep 2  # Rate limiting
done

Pattern 2: Sequential Pipeline

Chain multiple AI operations.

#!/bin/bash
# content_pipeline.sh - Full content creation pipeline

TOPIC="AI in healthcare"

# Step 1: Research
echo "Researching..."
RESEARCH=$(curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"type\": \"search\", \"inputs\": {\"query\": \"$TOPIC latest developments\"}, \"prefer\": \"balanced\"}" \
  | jq -r '.result')

# Step 2: Write article
echo "Writing article..."
ARTICLE=$(curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"type\": \"chat\", \"inputs\": {\"messages\": [{\"role\": \"user\", \"content\": \"Write a 500-word blog post about $TOPIC based on: $RESEARCH\"}]}, \"prefer\": \"balanced\"}" \
  | jq -r '.result.choices[0].message.content')

# Step 3: Generate image
echo "Generating image..."
IMAGE=$(curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"type\": \"image\", \"inputs\": {\"prompt\": \"Blog header image for article about $TOPIC, modern, professional\"}, \"prefer\": \"quality\"}" \
  | jq -r '.result.image_url')

# Step 4: Generate social post
echo "Creating social post..."
SOCIAL=$(curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"type\": \"chat\", \"inputs\": {\"messages\": [{\"role\": \"user\", \"content\": \"Write a Twitter thread (5 tweets) summarizing: $ARTICLE\"}]}, \"prefer\": \"balanced\"}" \
  | jq -r '.result.choices[0].message.content')

echo "Pipeline complete!"

Pattern 3: Parallel Processing

Run multiple operations simultaneously.

#!/bin/bash
# parallel_generation.sh - Generate multiple assets in parallel

# Start all jobs in background
curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "image", "inputs": {"prompt": "Hero image..."}, "prefer": "quality"}' \
  > hero.json &
PID1=$!

curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "image", "inputs": {"prompt": "Feature image 1..."}, "prefer": "quality"}' \
  > feature1.json &
PID2=$!

curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "image", "inputs": {"prompt": "Feature image 2..."}, "prefer": "quality"}' \
  > feature2.json &
PID3=$!

# Wait for all to complete
wait $PID1 $PID2 $PID3
echo "All images generated!"

Pattern 4: Conditional Workflow

Branch based on results.

#!/bin/bash
# conditional_workflow.sh - Process based on content analysis

INPUT_TEXT="$1"

# Analyze content
ANALYSIS=$(curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"type\": \"chat\", \"inputs\": {\"messages\": [{\"role\": \"user\", \"content\": \"Classify this text as: positive, negative, or neutral. Return only the classification.\
\
$INPUT_TEXT\"}]}, \"prefer\": \"balanced\"}" \
  | jq -r '.result.choices[0].message.content')

# Branch based on result
case "$ANALYSIS" in
  *positive*)
    echo "Generating celebration image..."
    curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
      -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
      -H "Content-Type: application/json" \
      -d '{"type": "image", "inputs": {"prompt": "Celebration, success, happy"}, "prefer": "quality"}'
    ;;
  *negative*)
    echo "Generating supportive message..."
    curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
      -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
      -H "Content-Type: application/json" \
      -d "{\"type\": \"chat\", \"inputs\": {\"messages\": [{\"role\": \"user\", \"content\": \"Write a supportive, encouraging response to: $INPUT_TEXT\"}]}, \"prefer\": \"balanced\"}" \
      | jq -r '.data.result.choices[0].message.content'
    ;;
  *)
    echo "Generating neutral acknowledgment..."
    ;;
esac

Pattern 5: Retry with Fallback

Handle failures gracefully.

#!/bin/bash
# retry_workflow.sh - Retry failed operations

generate_with_retry() {
  local prompt="$1"
  local max_attempts=3
  local attempt=1

  while [ $attempt -le $max_attempts ]; do
    echo "Attempt $attempt..."

    result=$(curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
      -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
      -H "Content-Type: application/json" \
      -d "{\"type\": \"image\", \"inputs\": {\"prompt\": \"$prompt\"}, \"prefer\": \"quality\"}" 2>&1)

    if [ $? -eq 0 ]; then
      echo "$result"
      return 0
    fi

    echo "Failed, retrying..."
    ((attempt++))
    sleep $((attempt * 2))  # Exponential backoff
  done

  # Fallback with different preference
  echo "Falling back with balanced preference..."
  curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
    -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"type\": \"image\", \"inputs\": {\"prompt\": \"$prompt\"}, \"prefer\": \"balanced\"}"
}

generate_with_retry "A beautiful sunset over mountains"

Scheduled Automation

Cron Job Setup

# Edit crontab
crontab -e

# Daily content generation at 9 AM
0 9 * * * /path/to/daily_content.sh >> /var/log/ai-automation.log 2>&1

# Weekly report every Monday at 8 AM
0 8 * * 1 /path/to/weekly_report.sh >> /var/log/ai-automation.log 2>&1

# Every 6 hours: social media content
0 */6 * * * /path/to/social_content.sh >> /var/log/ai-automation.log 2>&1

Daily Content Script

#!/bin/bash
# daily_content.sh - Run daily at 9 AM

DATE=$(date +%Y-%m-%d)
OUTPUT_DIR="/output/$DATE"
mkdir -p "$OUTPUT_DIR"

# Generate daily quote image
curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "image", "inputs": {"prompt": "Motivational quote background, minimalist, morning vibes"}, "prefer": "quality"}' \
  > "$OUTPUT_DIR/quote_image.json"

# Generate daily tip
curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "chat", "inputs": {"messages": [{"role": "user", "content": "Give me one actionable productivity tip for today. Be concise."}]}, "prefer": "balanced"}' \
  > "$OUTPUT_DIR/daily_tip.json"

echo "Daily content generated: $DATE"

Monitoring and Logging

Logging Wrapper

#!/bin/bash
# logged_workflow.sh - With comprehensive logging

LOG_FILE="/var/log/ai-workflow-$(date +%Y%m%d).log"

log() {
  echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
}

log "Starting workflow"

# Track execution time
START_TIME=$(date +%s)

# Run workflow
log "Generating image..."
RESULT=$(curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "image", "inputs": {"prompt": "test"}, "prefer": "balanced"}' 2>&1)
STATUS=$?

if [ $STATUS -eq 0 ]; then
  log "Success: Image generated"
else
  log "Error: $RESULT"
fi

END_TIME=$(date +%s)
DURATION=$((END_TIME - START_TIME))
log "Completed in ${DURATION}s"

Error Alerting

#!/bin/bash
# monitored_workflow.sh - With error alerts

run_with_alert() {
  local result
  result=$("$@" 2>&1)
  local status=$?

  if [ $status -ne 0 ]; then
    # Send alert (webhook, email, etc.)
    curl -X POST "https://your-webhook.com/alert" \
      -H "Content-Type: application/json" \
      -d "{\"error\": \"$result\", \"command\": \"$*\"}"
  fi

  echo "$result"
  return $status
}

run_with_alert curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
  -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type": "image", "inputs": {"prompt": "test"}, "prefer": "balanced"}'

Python SDK Automation

#!/usr/bin/env python3
# automation.py - Python-based workflow

import requests
import json
import os
from datetime import datetime
from pathlib import Path

SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
API_BASE = "https://api.skillbossai.com/v1"

def pilot(body: dict) -> dict:
    """Call SkillBoss API Hub and return result."""
    r = requests.post(
        f"{API_BASE}/pilot",
        headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
        json=body,
        timeout=60,
    )
    return r.json()

def daily_content_pipeline():
    """Generate daily content."""
    date_str = datetime.now().strftime("%Y-%m-%d")
    output_dir = Path(f"output/{date_str}")
    output_dir.mkdir(parents=True, exist_ok=True)

    # Generate image
    result = pilot({
        "type": "image",
        "inputs": {"prompt": f"Daily inspiration for {date_str}, beautiful, uplifting"},
        "prefer": "quality"
    })
    image_url = result["result"]["image_url"]
    (output_dir / "image.json").write_text(json.dumps({"image_url": image_url}))

    # Generate caption
    result = pilot({
        "type": "chat",
        "inputs": {"messages": [{"role": "user", "content": "Write an inspiring caption for a daily motivation post. 2-3 sentences."}]},
        "prefer": "balanced"
    })
    caption = result["result"]["choices"][0]["message"]["content"]
    (output_dir / "caption.json").write_text(json.dumps({"caption": caption}))

    print(f"Generated content for {date_str}")

if __name__ == "__main__":
    daily_content_pipeline()

Workflow Templates

Content Calendar Automation

#!/bin/bash
# content_calendar.sh - Generate week of content

TOPICS=("productivity" "wellness" "technology" "creativity" "leadership")
DAYS=("Monday" "Tuesday" "Wednesday" "Thursday" "Friday")

for i in "${!DAYS[@]}"; do
  DAY=${DAYS[$i]}
  TOPIC=${TOPICS[$i]}

  echo "Generating $DAY content about $TOPIC..."

  # Image
  curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
    -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"type\": \"image\", \"inputs\": {\"prompt\": \"$TOPIC theme, $DAY motivation, social media style\"}, \"prefer\": \"quality\"}" \
    > "content/${DAY}_image.json"

  # Caption
  curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
    -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"type\": \"chat\", \"inputs\": {\"messages\": [{\"role\": \"user\", \"content\": \"Write a $DAY motivation post about $TOPIC. Include hashtags.\"}]}, \"prefer\": \"balanced\"}" \
    > "content/${DAY}_caption.json"
done

Data Processing Pipeline

#!/bin/bash
# data_processing.sh - Process and analyze data files

INPUT_DIR="./data/raw"
OUTPUT_DIR="./data/processed"

for file in "$INPUT_DIR"/*.txt; do
  filename=$(basename "$file" .txt)

  # Analyze content
  curl -s -X POST "https://api.skillbossai.com/v1/pilot" \
    -H "Authorization: Bearer $SKILLBOSS_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"type\": \"chat\", \"inputs\": {\"messages\": [{\"role\": \"user\", \"content\": \"Analyze this data and provide key insights in JSON format: $(cat $file)\"}]}, \"prefer\": \"balanced\"}" \
    > "$OUTPUT_DIR/${filename}_analysis.json"

done

Best Practices

  1. Rate limiting - Add delays between API calls
  2. Error handling - Always check return codes
  3. Logging - Track all operations
  4. Idempotency - Design for safe re-runs
  5. Monitoring - Alert on failures
  6. Backups - Save intermediate results
  7. Timeouts - Set reasonable limits

Related Skills

# Content pipelines
npx skills add skillboss/skills@ai-content-pipeline

# RAG pipelines
npx skills add skillboss/skills@ai-rag-pipeline

# Social media automation
npx skills add skillboss/skills@ai-social-media-content

# Full platform skill
npx skills add skillboss/skills@skillboss-api-hub

Discover all supported capabilities: call /v1/pilot with {"discover": true}.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

81.36%
按下载量换算522

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可疑

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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