본문으로 건너뛰기
cccskills
무료GitHub에 공개

social-listening

Monitor brand mentions, competitor activity, and industry conversations across social media and the web

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

실행 점수 미검증

설치 방법 보기

포함된 파일(2)

  • SKILL.md4.2 KB
  • skill.meta.json324 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Social Listening

Setup

Choose the available runtime before doing any credential setup:

  • Terminal-free client: skip the shell commands below. Use connected MCP tools. For ScrapeCreators operations, read scrapecreators-api and prefer call_data_provider. For another provider step without a connected tool, use an equivalent built-in public-web method when it preserves the workflow, or clearly report that step as unavailable.
  • Local terminal: use the GooseWorks credentials and proxy commands below.

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

The local proxy endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY". ScrapeCreators operation descriptions below remain environment-neutral in both runtimes.

Track brand mentions, competitor activity, and industry conversations across social media and the web.

When to Use

  • User wants to monitor what people say about a brand or product
  • User asks "what are people saying about [company]?"
  • Tracking competitor launches or announcements
  • Monitoring industry trends and sentiment
  • Social media due diligence before partnerships

Workflow

Step 1: Search Web Mentions with Exa

Find recent mentions, reviews, and discussions across 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":"exa","path":"/search"}'
  "query": "Notion reviews opinions user feedback",
  "numResults": 30,
  "contents": {"text": true}
}'

Step 2: Monitor Social Media with Scrape Creators

Check what's being posted on X/Twitter:

provider: scrapecreators
method: GET
path: /v1/twitter/user-tweets
query:
  handle: NotionHQ

Check LinkedIn company activity:

provider: scrapecreators
method: GET
path: /v1/linkedin/company/posts
query:
  url: https://linkedin.com/company/notion

Use /v1/linkedin/company when only the company page is needed, and /v1/linkedin/post for one specific post URL.

Step 3: Deep Scrape Key Pages with Scrapegraph

Extract structured data from specific pages found in Steps 1-2:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://example.com/review-page",
  "user_prompt": "Extract sentiment, key complaints, and praise about the product"
}'

Examples

User: "What are people saying about Slack?"

# Step 1: Web mentions
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","body":{"query":"Slack reviews complaints praise 2025 2026","numResults":20,"contents":{"text":true}}}'

Then run the X/Twitter operation from Step 2 with handle: SlackHQ through the selected ScrapeCreators runtime.

User: "Monitor competitor launches in the AI space"

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","body":{"query":"AI startup launch announcement new product 2026","numResults":30,"contents":{"text":true}}}'

Tips

  • Use Exa for broad web monitoring (blogs, forums, news)
  • Use Scrape Creators for social media (X/Twitter, LinkedIn, Instagram, TikTok)
  • Use Scrapegraph for extracting structured data from specific URLs
  • Include date ranges in Exa queries for recent results
  • Track both your brand and competitors for comparative insights

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

gooseworks-ai/goose-skills1.3천2026년 10월 24일 업데이트

gooseworks-ai의 스킬 모두 보기

이 스킬의 문제 신고