From sanjay3290-ai-skills
Delegates research-heavy tasks like market analysis, product comparisons, stock research, and report generation to autonomous Manus AI agent with parallel web browsing and visualizations.
npx claudepluginhub sanjay3290/ai-skills --plugin postgresThis skill uses the workspace's default tool permissions.
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.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Checks Next.js compilation errors using a running Turbopack dev server after code edits. Fixes actionable issues before reporting complete. Replaces `next build`.
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.
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].
Requires MANUS_API_KEY environment variable. Base URL: https://api.manus.ai
task_id immediatelystatus is completed or failedcurl -s -X POST "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"<task description>","agentProfile":"manus-1.6"}'
Agent Profiles:
manus-1.6-lite - Fast, simple tasks (quick lookups, simple questions)manus-1.6 - Standard (default, good for most research)manus-1.6-max - Complex reasoning (deep research, multi-source analysis, detailed reports)Response:
{"task_id":"abc123","task_title":"...","task_url":"https://manus.im/app/abc123"}
curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$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)"'
curl -s -X GET "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" | jq '.data[] | {id, status, title: .metadata.task_title}'
Continue an existing task by including taskId:
curl -s -X POST "https://api.manus.ai/v1/tasks" -H "API_KEY:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"follow-up question","taskId":"abc123","agentProfile":"manus-1.6"}'
curl -s -X DELETE "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY"
| Parameter | Description |
|---|---|
taskMode | chat, adaptive, or agent |
projectId | Associate with project for shared instructions |
attachments | Array of file objects (see below) |
connectors | Pre-configured connector IDs (Gmail, Calendar, Notion) |
createShareableLink | Enable public access URL |
Attach files using one of three formats:
URL attachment:
{"prompt":"Analyze this","attachments":[{"type":"url","url":"https://example.com/doc.pdf"}]}
Base64 attachment:
{"prompt":"What's in this image?","attachments":[{"type":"base64","data":"<base64>","mime_type":"image/png"}]}
File ID (after upload):
{"prompt":"Review this file","attachments":[{"type":"file","file_id":"file-xxx"}]}
Create a project with shared instructions:
curl -s -X POST "https://api.manus.ai/v1/projects" -H "API_KEY:$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:$MANUS_API_KEY" -H "Content-Type:application/json" -d '{"prompt":"...","projectId":"proj_xxx","agentProfile":"manus-1.6"}'
manus-1.6-lite for simple queries (faster, cheaper)manus-1.6 or manus-1.6-max for research taskstask_url so user can view progress in browsercredit_usage field to track consumptionCheck for failed tasks:
curl -s -X GET "https://api.manus.ai/v1/tasks/{task_id}" -H "API_KEY:$MANUS_API_KEY" | jq '{status, error}'
If status is failed, the error field contains the reason. Common issues:
MANUS_API_KEY is setmanus-1.6-maxFor complete endpoint documentation, see references/api.md.