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Agent Skill

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

总安装

194

周安装

8

GitHub Stars

234

下载量

63
CodexClaudeCursorGemini CLI

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

unknown

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:manus(manus 搜索)
来源仓库:https://github.com/sanjay3290/postgres-skill
仓库路径:skills/manus
安装命令:
npx skills add https://github.com/sanjay3290/postgres-skill --skill manus
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/sanjay3290/postgres-skill --skill manus

简介

用于辅助数据库表结构、查询语句和迁移脚本任务。

  • 适合分析 schema、编写 SQL、排查查询问题或生成迁移建议。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 使用时需明确数据库类型、连接环境和目标表,区分只读与写入操作。
  • 涉及删除、更新或批量导入时应优先 dry-run 或备份保护。

SKILL.md

Manus

Manus is an autonomous AI agent that handles complex tasks asynchronously. Particularly strong at deep research with parallel processing, web browsing, and generating comprehensive reports with data visualizations.

When to Use Manus

  • Deep research - Market analysis, competitive landscaping, product comparisons
  • Stock/financial analysis - Company research, technical analysis, price charts
  • Product research - Feature comparisons across brands, specs analysis
  • Report generation - Creates markdown reports, CSVs, charts, and visualizations
  • Multi-source synthesis - Gathers and combines information from multiple websites
  • Long-running tasks - Anything taking 1-10+ minutes of autonomous work

Research Prompt Examples

Effective research prompts are specific about scope, sources, and desired output:

Product comparison:

Find the best 4K monitors for Mac with Thunderbolt connectivity and 120Hz+ refresh rate.
Focus on BenQ, Samsung, Dell, LG. Only include models released in the last year.
Compare specs, prices, and Mac-specific features. Output a comparison table.

Stock/company analysis:

Analyze [TICKER] stock: company profile, recent performance, technical indicators,
valuation metrics, and insider activity. Include a price chart for the past year.

Market research:

Research the [industry] market: key players, market size, growth trends,
recent developments, and competitive landscape. Focus on [region/segment].

Competitive analysis:

Compare [Product A] vs [Product B] vs [Product C]: features, pricing,
user reviews, pros/cons. Create a decision matrix for [use case].

Environment Setup

Requires MANUS_API_KEY environment variable. Base URL: https://api.manus.ai

Core Workflow

  1. Create task → Returns task_id immediately
  2. Poll status → Check until status is completed or failed
  3. Return results → Extract output text and file attachments

Creating a Task

curl -s -X POST "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"<task description>","agentProfile":"manus-1.6"}'

Agent Profiles:

  • manus-1.6-lite - Fast, simple tasks (quick lookups, simple questions)
  • manus-1.6 - Standard (default, good for most research)
  • manus-1.6-max - Complex reasoning (deep research, multi-source analysis, detailed reports)

Response:

{"task_id":"abc123","task_title":"...","task_url":"https://manus.im/app/abc123"}

Checking Task Status

curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY"

Status values: pending, running, completed, failed

Poll every 5-10 seconds until completed.

Extract text output:

curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY" | jq -r '.output[] | select(.role=="assistant") | .content[] | select(.type=="output_text") | .text'

Extract file attachments:

curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY" | jq -r '.output[] | select(.role=="assistant") | .content[] | select(.type=="output_file") | "\(.fileName): \(.fileUrl)"'

Listing Tasks

curl -s -X GET "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" | jq '.data[] | {id, status, title: .metadata.task_title}'

Multi-turn Conversations

Continue an existing task by including taskId:

curl -s -X POST "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"follow-up question","taskId":"abc123","agentProfile":"manus-1.6"}'

Delete a Task

curl -s -X DELETE "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY"

Advanced Options

ParameterDescription
taskModechat, adaptive, or agent
projectIdAssociate with project for shared instructions
attachmentsArray of file objects (see below)
connectorsPre-configured connector IDs (Gmail, Calendar, Notion)
createShareableLinkEnable public access URL

File Attachments

Attach files using one of three formats:

URL attachment:

{"prompt":"Analyze this","attachments":[{"type":"url","url":"https://example.com/doc.pdf"}]}

Base64 attachment:

{"prompt":"What's in this image?","attachments":[{"type":"base64","data":"<base64>","mime_type":"image/png"}]}

File ID (after upload):

{"prompt":"Review this file","attachments":[{"type":"file","file_id":"file-xxx"}]}

Projects

Create a project with shared instructions:

curl -s -X POST "https://api.manus.ai/v1/projects" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"name":"My Project","instruction":"Always respond concisely"}'

Use project in task:

curl -s -X POST "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"...","projectId":"proj_xxx","agentProfile":"manus-1.6"}'

Best Practices

  • Use manus-1.6-lite for simple queries (faster, cheaper)
  • Use manus-1.6 or manus-1.6-max for research tasks
  • Always report task_url so user can view progress in browser
  • Poll status with reasonable intervals (5-10s for simple, 15-30s for research)
  • Check credit_usage field to track consumption
  • For research: be specific about scope, timeframe, sources, and desired output format
  • Research tasks typically produce multiple output files (reports, CSVs, charts) - extract all attachments
  • Manus uses parallel processing for multi-faceted research - one prompt can cover multiple angles

Error Handling

Check for failed tasks:

curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY" | jq '{status, error}'

If status is failed, the error field contains the reason. Common issues:

  • Invalid API key → Check MANUS_API_KEY is set
  • Task timeout → Simplify prompt or use manus-1.6-max
  • Rate limited → Wait and retry

API Reference

For complete endpoint documentation, see references/api.md.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

36.68%
按下载量换算23

Claude

31.95%
按下载量换算20

Cursor

18.9%
按下载量换算12

Gemini CLI

10.36%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

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。

来源信息

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