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Gooseworks

@gooseworks-ai

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300 个技能1 个仓库 1263

技能(300)

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Lead qualification engine with conversational intake. Asks structured questions to understand your qualification criteria, generates a reusable qualification prompt, then batch-enriches leads via Apify LinkedIn scraping and scores them with parallel processing. Outputs qualified/disqualified verdicts with confidence scores and reasoning to CSV or whatever output format the user prefers. Supports calibration mode for prompt refinement.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Creates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community additions) don't fit the user's canvas — e.g., LinkedIn banner 1584×396, story cover 1080×1920, event flyer 8.5×11in. Mirrors goose-graphics-create-style but for formats.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Find warm leads by searching LinkedIn for pain-language posts — the frustrations, complaints, and operational struggles your ICP talks about publicly. Asks clarifying questions to understand your product, ICP, and their pain points, then generates pain-language search keywords, scrapes LinkedIn for posts and engagers, enriches profiles, and ICP-filters the results. Use when someone wants to "find leads who are complaining about X" or "find people discussing problems we solve" or "LinkedIn pain-based prospecting."

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Look up information about a person - work history, social profiles, contact info

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

End-to-end skill that turns a single reference image into a published Gooseworks style — analyzes the image, drafts the slim style spec, renders a hero example plus 2-3 additional formats via Playwright, writes the `gooseworks-style.json` manifest, and publishes via `npx gooseworks styles publish` so other agents can discover it. Mirrors goose-graphics-create-format but for styles.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Portable visual skill pack for the Agent Skills ecosystem (Claude Code, Claude Desktop, Claude Cowork, Claude Design, Goose, Cursor, Codex). Discovers community-published styles + formats via the gooseworks CLI, runs an extract-style workflow on reference images, and exports rendered PNGs via Playwright.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Creates Apollo lists. Deduplicates against existing contacts by LinkedIn URL.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Find decision-makers at a specific company using Apollo, Crustdata, Fiber, and PDL people search via Gooseworks MCP. Given a company name and target titles, returns a list of contacts with name, title, LinkedIn URL, and location.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Find leads by scraping engagers from a competitor's top LinkedIn posts. Given one or more company page URLs, scrapes recent posts, ranks by engagement, selects the top N, extracts all reactors and commenters, ICP-classifies, and exports CSV. Use when someone wants to "find leads engaging with competitor content" or "scrape people who interact with [company]'s LinkedIn posts".

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Enrich any person or company from any identifier — email, name, LinkedIn URL, domain, company name, Twitter/X handle. Use when asked to enrich, look up, or research a lead, contact, person, or company.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Extract speaker names, titles, companies, and bios from conference websites. Supports direct HTML scraping and Apify web scraper fallback for JS-heavy sites. Use for pre-event research and outreach targeting.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Track all identified/contacted people across strategies. CSV-backed contact database with dedup by LinkedIn URL or email. Prevents duplicate outreach when running strategies on a recurring cadence.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Find emails, phone numbers, and enrich profiles using ContactOut. LinkedIn enrichment, people search, company enrichment, and batch operations.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Email finder and verifier - find emails from domains, LinkedIn, or company search

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Intelligence and enrichment - person and company data, social profiles, events, and funding

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Find someone's email address given their name and company

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

AI-agent-powered lead enrichment using Sixtyfour as primary source. Takes an email (+ optional name) and returns comprehensive person + company data with funding, AI/B2B classification, and full error visibility. Higher cost (~$0.20/lead) but simpler architecture.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Multi-provider waterfall lead enrichment. Takes an email (+ optional name) and returns person + company data by cross-referencing cheap APIs first, using expensive AI agents only as fallback. Cost-efficient (~$0.04-$0.10/lead) with confidence scoring and full error visibility.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Research a company or idea, define the Ideal Customer Profile, and route to the right next step — either mapping the TAM or finding leads/prospects directly. The entry point for any "find me leads", "map my market", or "who should I sell to" request. Auto-loads when a user provides a company URL or idea and asks for leads or market mapping.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Evaluate a website, landing page, content, or any online asset through the eyes of pre-built synthetic ICP personas. Loads personas from buyer-persona-generator output, then runs them against target URLs. Supports three modes: structured scorecard, freeform focus group, and head-to-head competitive comparison. Reusable — run against the same site after changes, or against new content anytime.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Detect buying intent from job postings. When a company posts a job in your problem area, they've allocated budget and are actively thinking about the problem. This skill finds those companies, qualifies them, extracts personalization context, and outputs everything to a Google Sheet. Does NOT do outreach — just delivers qualified leads with reasoning.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Search for jobs matching your skills, experience, and preferences

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

Find ICP-fit leads from KOL audiences on LinkedIn. Given a list of KOLs, scrapes their most relevant high-engagement post from the last 30 days, extracts engagers (reactors + commenters), pre-filters by position, enriches top profiles, and ICP-classifies. Cost-controlled: 1 post per KOL. Use when someone wants to "find leads from KOL audiences" or "scrape engagers from influencer posts" or after running kol-discovery.

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

AI-powered lead enrichment - find emails, phones, and enrich company/lead data

中文简介正在准备中。当前显示原文说明。

gooseworks-ai/goose-skills12632026年10月23日 更新

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