Agent skill

Web Search Valyu

by gooseworks-ai in gooseworks-ai/goose-skills

Web search, AI answers, content extraction, and async deep research

MITAuto-check passedResearch & Science

Install Web Search Valyu

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills web-search-valyu --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-tools/capabilities/web-search-valyu .claude/skills/web-search-valyu && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
web-search-valyu
GitHub stars
1.2k
Used in
1 other repo
Token cost
~3.8k tokens
SKILL.md length
1,449 words
Files
2
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Web search, AI answers, content extraction, and async deep research

  • Works in 5 steps: Research Automation: Comprehensive… → Content Intelligence: Extract and… → Market Analysis: Research markets and… → …
  • Tasks that involve Web search
  • SKILL.md covers Setup, Capabilities, Usage and Use Cases, plus 1 more section
  • Calls curl, python3 and npx; reaches api.gooseworks.ai; needs GOOSEWORKS_API_KEY

What it does

Web Search Valyu is an agent skill from gooseworks-ai/goose-skills. Web search, AI answers, content extraction, and async deep research

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill.meta.json`).

It sits in Research & Science, covering Web search and Deep research. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve Web search
  • Tasks that involve Deep research

Example prompts

  • “/web-search-valyu”

Requirements

  • Python 3
  • Node.js
  • A credential in GOOSEWORKS_API_KEY

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Research Automation: Comprehensive research on any topic
  2. Content Intelligence: Extract and analyze web content
  3. Market Analysis: Research markets and competitors
  4. Due Diligence: Gather information for decisions
  5. Knowledge Base Building: Collect structured information

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python3
    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.gooseworks.ai

    Also links to:

    • valyu.ai

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GOOSEWORKS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Web Search Valyu loads about 3.8k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 1,449 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,449 words, ~3,821 tokens.

Download SKILL.mdSave it as .claude/skills/web-search-valyu/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
web-search-valyu
description
Web search, AI answers, content extraction, and async deep research
source
orthogonal

Valyu - Search, Answer & Deep Research

Setup

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

bash
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, get AI answers, extract content, and run deep research tasks.

Capabilities

  • Get Status: Reference for getting deep research task status via GET /v1/deepresearch/tasks/{id}/status
  • Update Task: Reference for adding follow-up instructions to a running task via POST /v1/deepresearch/tasks/{id}/update
  • Cancel Task: Reference for cancelling a running task via POST /v1/deepresearch/tasks/{id}/cancel
  • Delete Task: Reference for deleting a task via DELETE /v1/deepresearch/tasks/{id}/delete
  • Get Batch Status: Reference for getting batch status via GET /v1/deepresearch/batches/
  • List Batch Tasks: Reference for listing tasks in a batch via GET /v1/deepresearch/batches//tasks
  • Cancel Batch: Reference for cancelling a batch via POST /v1/deepresearch/batches//cancel
  • Search: Reference for the Valyu Search endpoint to search the web, research, and proprietary datasets via POST /v1/search
  • Answer: Reference for the Valyu Answer endpoint that blends search results into AI-generated answers via POST /v1/answer
  • Contents: Reference for the Valyu Contents endpoint that extracts clean, structured content from any URL via POST /v1/contents
  • Create Batch: Reference for creating a new batch via POST /v1/deepresearch/batches
  • Create Task: Reference for creating a new deep research task via POST /v1/deepresearch/tasks
  • Add Tasks to Batch: Reference for adding tasks to a batch via POST /v1/deepresearch/batches//tasks

Usage

Get Status

Reference for getting deep research task status via GET /v1/deepresearch/tasks/{id}/status.

bash
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"}'
Update Task

Reference for adding follow-up instructions to a running task via POST /v1/deepresearch/tasks/{id}/update.

Parameters:

  • instruction* (string) - Follow-up instruction to add to the running task. Must be submitted before the writing phase begins.
bash
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}/update","body":{"query":"Updated research query"}}'
Cancel Task

Reference for cancelling a running task via POST /v1/deepresearch/tasks/{id}/cancel.

bash
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}/cancel"}'
Delete Task

Reference for deleting a task via DELETE /v1/deepresearch/tasks/{id}/delete.

bash
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}/delete"}'
Get Batch Status

Reference for getting batch status via GET /v1/deepresearch/batches/.

bash
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/batches/{id}"}'
List Batch Tasks

Reference for listing tasks in a batch via GET /v1/deepresearch/batches//tasks.

bash
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/batches/{id}/tasks"}'
Cancel Batch

Reference for cancelling a batch via POST /v1/deepresearch/batches//cancel.

bash
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/batches/{id}/cancel"}'

Reference for the Valyu Search endpoint to search the web, research, and proprietary datasets via POST /v1/search.

Parameters:

  • query* (string) - The query string for the search
  • max_num_results (integer) - Maximum number of results to return (1-20 for standard API keys, up to 100 with a special API key)
  • search_type (enum<string>) - Type of search to perform.'web' searches and returns web content. 'proprietary' uses Valyu's full-text multimodal indicies (arxiv/pubmed/proprietary academic content). 'news' searches and returns only news articles.
  • fast_mode (boolean) - Enable fast mode for reduced latency but shorter results. Best for general purpose queries.
  • max_price (number<float>) - Maximum price in dollars for a thousand retrievals (CPM). Only applies when provided. If not provided, adjusts automatically based on search type and max number of results.
  • relevance_threshold (number<float>) - Minimum relevance score for results (0.0-1.0)
  • included_sources (string[]) - List of specific sources to search (URLs, domains or dataset names). When a URL or domain path is provided (e.g., 'https://valyu.ai/blog' or 'valyu.ai/blog'), only that specific path will be searched. For entire domains, use either the domain name (e.g., 'valyu.ai') or the base URL (e.g., 'https://valyu.ai').
  • excluded_sources (string[]) - List of specific sources to exclude from search (URLs, domains, or dataset names). When a URL or domain path is provided (e.g., 'https://valyu.ai/blog' or 'valyu.ai/blog'), only that specific path will be excluded. For entire domains, use either the domain name (e.g., 'valyu.ai') or the base URL (e.g., 'https://valyu.ai').
  • category (string) - Natural language category/guide phrase to help guide the search to the most relevant content. For example 'agentic use-cases
  • response_length (default:short) - Controls the length of content returned per result. Can be an integer for character count or predefined values: 'short' (25k), 'medium' (50k), 'large' (100k), 'max' (full)
  • country_code (string) - 2-letter ISO country code to bias search results to a specific country
  • is_tool_call (boolean) - Tunes retrieval process based on whether the API is being called by an AI agent as a tool call, or a user query.
  • start_date (string<date>) - Start date for time-filtered searches (YYYY-MM-DD)
  • end_date (string<date>) - End date for time-filtered searches (YYYY-MM-DD)
  • url_only (boolean) - When set to true, only returns URLs for results (no content). Only applies when search_type is 'web' or 'news'.
bash
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"}}'
Answer

Reference for the Valyu Answer endpoint that blends search results into AI-generated answers via POST /v1/answer.

Parameters:

  • query* (string) - The search query
  • system_instructions (string) - Custom instructions for AI processing
  • structured_output (object) - JSON schema for structured output. When provided, enables JSON mode and returns structured data
  • search_type (string) - Type of search to perform
  • fast_mode (boolean) - Enable fast mode for reduced latency but shorter results. Best for general purpose queries.
  • data_max_price (number) - Maximum price in dollars for data retrieval (search costs only, does not affect AI costs)
  • included_sources (string[]) - List of specific sources to search (URLs, domains or dataset names). When a URL or domain path is provided (e.g., 'https://valyu.ai/blog' or 'valyu.ai/blog'), only that specific path will be searched. For entire domains, use either the domain name (e.g., 'valyu.ai') or the base URL (e.g., 'https://valyu.ai').
  • excluded_sources (string[]) - List of specific sources to exclude from search (URLs, domains, or dataset names). When a URL or domain path is provided (e.g., 'https://valyu.ai/blog' or 'valyu.ai/blog'), only that specific path will be excluded. For entire domains, use either the domain name (e.g., 'valyu.ai') or the base URL (e.g., 'https://valyu.ai').
  • start_date (string) - Start date filter (YYYY-MM-DD)
  • end_date (string) - End date filter (YYYY-MM-DD)
  • country_code (string) - 2-letter ISO country code to bias search results to a specific country
  • streaming (boolean) - Enable Server-Sent Events (SSE) streaming. When true, returns a stream of chunks: search_results first, then content deltas, then metadata, then [DONE].
bash
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 the best practices for building AI agents?"}}'
Show full SKILL.md (545 more words)Show less
Contents

Reference for the Valyu Contents endpoint that extracts clean, structured content from any URL via POST /v1/contents.

Parameters:

  • urls* (string[]) - List of URLs to process (maximum 10 URLs per request)
  • response_length (default:short) - Content length configuration: "short": 25,000 characters (good for summaries) "medium": 50,000 characters (good for articles) "large": 100,000 characters (good for academic papers) "max": No character limit Custom integer: Specific character limit
  • max_price_dollars (number) - Maximum cost limit in dollars for the entire request. If not specified, defaults to 2x the estimated cost.
  • extract_effort (string) - Processing effort level: "normal": Fastest extraction speed (Fastest) "high": Enhanced extraction with better content quality and reliability (Slower) "auto": Automatically chooses the right effort level (Slowest)
  • screenshot (boolean) - Request page screenshots. When true, each result will include a screenshot_url field containing a pre-signed URL to a screenshot image of the page. Screenshots are captured during page rendering.
  • summary (boolean) - Toggle AI processing (false is default)
bash
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/contents","body":{"urls":["https://example.com/article"]}}'
Create Batch

Reference for creating a new batch via POST /v1/deepresearch/batches.

Parameters:

  • name (string) - Optional name for the batch
  • mode (enum<string>) - DeepResearch mode for all tasks in this batch
  • output_formats ((string | object)[]) - Default output formats for all tasks (markdown, pdf, toon, or structured JSON schema). Cannot mix JSON schema with markdown/pdf. toon requires a JSON schema.
  • search (object) - Search configuration applied to all tasks in the batch (cannot be overridden per task)
  • webhook_url (string<uri>) - HTTPS URL to receive notifications when the batch completes
  • metadata (object) - Custom metadata for tracking and organization
bash
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/batches","body":{"name":"Competitor Research"}}'
Create Task

Reference for creating a new deep research task via POST /v1/deepresearch/tasks.

Parameters:

  • query* (string) - Research query or task description
  • mode (string) - DeepResearch mode: fast: Ideal for quicker answers and lightweight research. Typically completes in ~2–5 minutes. standard: A balanced option for deeper insights without long wait times. Runs for ~10–20 minutes. heavy: Designed for in-depth, long-running research tasks. Can run for up to ~90 minutes.
  • model (string) - DeepResearch mode (deprecated, use 'mode' instead)
  • output_formats (string) - Output formats. Use ['markdown'], ['markdown', 'pdf'], or a JSON schema object for structured output. Cannot mix JSON schema with markdown/pdf.
  • strategy (string) - Natural language strategy instructions prepended to the system prompt
  • search (object) - Search configuration parameters
  • urls (string[]) - URLs to extract content from (max 10)
  • files (object[]) - File attachments (PDFs, images, documents). Max 10 files.
  • mcp_servers (object[]) - MCP server configurations for custom tools (max 5 servers)
  • code_execution (boolean) - Enable/disable code execution during research
  • previous_reports (string[]) - Previous deep research IDs to use as context (max 3)
  • webhook_url (string) - HTTPS URL for webhook notifications. When provided, Valyu will POST the full task result to this URL when the task completes or fails. The request includes X-Webhook-Signature and X-Webhook-Timestamp headers for verification. HTTP URLs are rejected—only HTTPS is supported.
  • metadata (object) - Custom metadata for tracking
  • deliverables (object[]) - Additional file outputs to generate from the research (CSV, Excel, PowerPoint, Word, PDF). Max 10 deliverables.
bash
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"}}'
Add Tasks to Batch

Reference for adding tasks to a batch via POST /v1/deepresearch/batches//tasks.

Parameters:

  • tasks* (object[]) - Array of tasks to add to the batch (1-100 tasks per request)
bash
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/batches/{id}/tasks"}'

Use Cases

  1. Research Automation: Comprehensive research on any topic
  2. Content Intelligence: Extract and analyze web content
  3. Market Analysis: Research markets and competitors
  4. Due Diligence: Gather information for decisions
  5. Knowledge Base Building: Collect structured information

Discover More

For full endpoint details and parameters:

bash
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"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"valyu","path":"/v1/deepresearch"}'   # Get endpoint details

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/research-tools/capabilities/web-search-valyu of gooseworks-ai/goose-skills.

  • SKILL.md
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Web Search Valyu next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Web Search Valyu compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Web Search Valyu this skillgooseworks-ai/goose-skills1.2k1 repos~3.8kAutomated safety check: PassMIT
Web ResearchJuncai22/spring-ai-agent-learning1242 repos~1.1kAutomated safety check: PassApache-2.0
Argo Search and Verificationtaxueseek/argo188—~1.2kAutomated safety check: PassMIT
Live Researchbrightdata/skills264—~1.8kAutomated safety check: PassMIT
Weekly Signal DiffNateBJones-Projects/OB14.7k—~1.7kAutomated safety check: PassCustom licence
Research Analystsimranjeet97/Awsome_AI_Agents229—~150Automated safety check: PassApache-2.0

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Questions about Web Search Valyu

What does Web Search Valyu do?

Web search, AI answers, content extraction, and async deep research. Web Search Valyu is an agent skill from gooseworks-ai/goose-skills.

When should I use Web Search Valyu?

Web Search Valyu fits situations like: tasks that involve Web search; tasks that involve Deep research.

How do I install Web Search Valyu in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/web-search-valyu in gooseworks-ai/goose-skills) into .claude/skills/web-search-valyu in your project. Claude Code loads it when a task matches its description.

How do I install Web Search Valyu in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a codex`. Or copy the skill folder (skills/research-tools/capabilities/web-search-valyu in gooseworks-ai/goose-skills) into .agents/skills/web-search-valyu in your project. Codex loads it when a task matches its description.

Can I use Web Search Valyu in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill web-search-valyu -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-search-valyu, .gemini/skills/web-search-valyu, .github/skills/web-search-valyu and .opencode/skills/web-search-valyu in your project.

What does Web Search Valyu need to run?

Going by SKILL.md and its folder, Web Search Valyu needs the command-line tools its instructions call (curl, python3 and npx) and credentials named GOOSEWORKS_API_KEY. Our summary lists: Python 3; Node.js; A credential in GOOSEWORKS_API_KEY.

Does Web Search Valyu access the network?

SKILL.md names 2 domains. In commands or code: api.gooseworks.ai; the agent is likely to contact it when it follows the instructions. As links in the text: valyu.ai. This is read from the text; nothing was executed.

Is Web Search Valyu safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Web Search Valyu use?

Web Search Valyu is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Web Search Valyu use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Web Search Valyu?

Skills that share tags, products or a category with Web Search Valyu: Web Research (Juncai22/spring-ai-agent-learning, 124 stars), Argo Search and Verification (taxueseek/argo, 188 stars), Live Research (brightdata/skills, 264 stars) and Weekly Signal Diff (NateBJones-Projects/OB1, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Web Search Valyu?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.