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Web Search Agent Skill

Search the web, platforms, and datasets. Use when asked to search, find, look up, research, or discover information from the web, YouTube, Amazon, eBay, news, academic sources, or any online platform.

4k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill web-search

What comes with it

275 bytes besides the instruction
skill.meta.json

The instruction itself

10 sections, as written by the author

Setup

Read your credentials from ~/.gooseworks/credentials.json:

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Search the web, platforms, and proprietary datasets. Pick the best API for the task — or combine several for comprehensive results.

1. Tavily — Comprehensive Web Search & Research

Best for: General web search, deep research reports, site mapping, and crawling.

Search the web:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/search"}'
  "query": "latest developments in AI agents",
  "search_depth": "advanced",
  "include_answer": true,
  "max_results": 10
}'

Deep research (async — returns a report with citations):

# Step 1: Start research task
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/research","body":{"input":"Compare AI agent frameworks for production use","model":"pro"}}'
# Step 2: Poll for results using request_id
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/research/{request_id}"}'

Map a website (discover all URLs):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/map","body":{"url":"https://docs.example.com","limit":200}}'

Crawl a website (extract content from multiple pages):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tavily","path":"/crawl"}'
  "url": "https://docs.example.com",
  "max_depth": 3,
  "limit": 50
}'

Key parameters: search_depth (basic/fast/advanced/ultra-fast), topic (general/news), time_range (day/week/month/year), include_domains/exclude_domains, include_answer, include_raw_content, country.

Best for: Finding similar content, semantic/embeddings-based search, category-filtered search (people, companies), and deep research.

Neural web search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/search"}'
  "query": "startups building AI coding assistants",
  "numResults": 10,
  "type": "auto",
  "contents": {"text": true}
}'

Find similar pages:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/findSimilar"}'
  "url": "https://example.com/article",
  "numResults": 10,
  "contents": {"text": true}
}'

Get a sourced AI answer:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/answer","body":{"query":"What are the best practices for prompt engineering?"}}'

Get page contents:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/contents","body":{"urls":["https://example.com"],"text":true,"summary":true}}'

Deep research (async):

# Step 1: Create task
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/research/v1","body":{"instructions":"Research the current state of AI coding assistants","model":"exa-research-pro"}}'
# Step 2: Poll with researchId
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/research/v1/{researchId}"}'

Key parameters: type (auto/neural/fast/deep), category (people/company), includeDomains/excludeDomains, startPublishedDate/endPublishedDate, includeText/excludeText.

Best for: Quick, high-quality web search with intelligent ranking and instant answers. Low latency.

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"andi","path":"/v1/search","query":{"q":"how%20does%20RAG%20work","depth":"deep","limit":"20"}}'

Key parameters: q (query), limit (1-100), depth (fast/deep), intent (NewsSearchIntent, VideoSearchIntent, ImageSearchIntent), dateRange (day/week/month/year), includeDomains/excludeDomains, country, language.

4. Linkup — Question-Based Search with Sourced Answers

Best for: Natural language questions, sourced answers with citations, structured output.

Search with sourced answer:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search"}'
  "q": "What are the latest AI agent frameworks?",
  "depth": "deep",
  "outputType": "sourcedAnswer"
}'

Structured output search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search"}'
  "q": "Top 5 AI startups in 2025",
  "depth": "deep",
  "outputType": "structured",
  "structuredOutputSchema": {
    "type": "object",
    "properties": {
      "startups": {
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "name": {"type": "string"},
            "description": {"type": "string"},
            "funding": {"type": "string"}
          }
        }
      }
    }
  }
}'

Key parameters: q (natural language question), depth (standard/deep), outputType (searchResults/sourcedAnswer/structured), fromDate/toDate, includeDomains/excludeDomains, maxResults.

Best for: Searching across web, academic/proprietary datasets, and news. AI-generated answers. Deep research tasks.

Web search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/search","body":{"query":"AI agent frameworks comparison","search_type":"web","max_num_results":10}}'

Academic/proprietary search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/search","body":{"query":"transformer architecture improvements","search_type":"proprietary"}}'

News search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/search","body":{"query":"OpenAI latest announcements","search_type":"news"}}'

AI-generated answer:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/answer","body":{"query":"What are best practices for building AI agents?"}}'

Deep research (async):

# Step 1: Create task
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/deepresearch/tasks","body":{"query":"Comprehensive analysis of vector databases market","mode":"standard"}}'
# Step 2: Poll for status
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/deepresearch/tasks/{id}/status"}'

Key parameters: search_type (web/proprietary/news), fast_mode, included_sources/excluded_sources, relevance_threshold, start_date/end_date, country_code.

Best for: Searching specific platforms — Amazon, eBay, Walmart, YouTube, Airbnb, TripAdvisor, app stores, and ad libraries (Meta, TikTok, Reddit, LinkedIn).

All SearchAPI calls use the same endpoint with different engine values:

Amazon product search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"amazon_search","q":"wireless%20headphones"}}'

eBay search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"ebay_search","q":"vintage%20watch"}}'

Walmart search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"walmart_search","q":"laptop"}}'

YouTube search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"youtube","q":"AI%20agents"}}'

YouTube video details / comments / transcripts:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"youtube_video","video_id":"dQw4w9WgXcQ"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"youtube_comments","video_id":"dQw4w9WgXcQ"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"youtube_transcripts","video_id":"dQw4w9WgXcQ"}}'

Airbnb search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"airbnb","q":"Paris","adults":"2","check_in_date":"2025-06-01","check_out_date":"2025-06-07"}}'

TripAdvisor search:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"tripadvisor","q":"best%20restaurants%20NYC"}}'

Apple App Store:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"apple_app_store","term":"productivity"}}'

Ad library search (Meta, TikTok, Reddit, LinkedIn):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"meta_ad_library","q":"AI%20tools"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"tiktok_ads_library","q":"AI"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"reddit_ad_library","q":"software"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"linkedin_ad_library","q":"hiring"}}'

Social media profiles:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"tiktok_profile","username":"openai"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"searchapi","path":"/api/v1/search","query":{"engine":"instagram_profile","username":"openai"}}'

Available engines: amazon_search, ebay_search, walmart_search, youtube, youtube_video, youtube_comments, youtube_transcripts, youtube_channel, youtube_channel_videos, airbnb, tripadvisor, apple_app_store, meta_ad_library, tiktok_ads_library, reddit_ad_library, linkedin_ad_library, tiktok_profile, instagram_profile.

Tips

  • General web search: Start with Tavily (search_depth: "advanced") or Exa (type: "auto") for best relevance
  • Speed matters: Use Andi for fast results, Tavily ultra-fast for lowest latency
  • Sourced answers: Linkup and Valyu both generate answers with citations — Linkup is best for Q&A, Valyu for blending web + proprietary data
  • Academic/research data: Valyu's proprietary search type covers arxiv, pubmed, and academic datasets
  • News: Use Valyu (search_type: "news") or Tavily (topic: "news") for current events
  • Deep research: Tavily, Exa, and Valyu all offer async research tasks — Tavily for web-focused, Exa for comprehensive with citations, Valyu for web + academic mix
  • Find similar content: Exa's /findSimilar is unique — pass a URL and get semantically similar pages
  • Platform-specific search: SearchAPI is the only option for Amazon, eBay, Walmart, YouTube, Airbnb, TripAdvisor, and ad libraries
  • Domain filtering: Most APIs support include_domains/exclude_domains to scope results
  • Async patterns: Deep research tasks (Tavily, Exa, Valyu) are async — POST to start, GET to poll for results
  • Combine APIs: For thorough research, run Tavily + Exa + Linkup in parallel and cross-reference results

Discover More

List all endpoints for any API, or add a path for parameter details:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"tavily API endpoints"}' api show exa
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"andi API endpoints"}' api show linkup
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"valyu API endpoints"}' api show searchapi

Example: `curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \

-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \

-H "Content-Type: application/json" \

-d '{"api":"tavily","path":"/search`"}' for full parameter details.

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How to use it

Copy the folder

Take gooseworks-ai/web-search from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.