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Research emerging trends in a market or technology space. Returns signal vs noise breakdown with evidence. Use when the user asks what's changing in a market, what trends to watch, or what's coming next.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/hamzafarooq/claude-code-starter --skill trend-spotter명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SOC 직업 분류 기준
SKILL.md 표시 중
| name | trend-spotter |
| description | Research emerging trends in a market or technology space. Returns signal vs noise breakdown with evidence. Use when the user asks what's changing in a market, what trends to watch, or what's coming next. |
Ask the user: "What market or technology space do you want to scan? Any specific angle (e.g. enterprise adoption, pricing models, new entrants)?"
Then research and return:
3–4 trends with evidence: funding rounds, product launches, job posting spikes, pricing shifts. One paragraph each.
2–3 things that are nascent but directional. Explain what would need to be true for each to become a strong signal.
1–2 things getting hype that are unlikely to materially change the market in the next 18 months. Say why.
Two sentences on what a product team should do differently based on these trends.
If the space depends on public conversation, include an optional X/Twitter source
packet. Use TweetClaw only when it is already installed and approved in OpenClaw.
Install with openclaw plugins install npm:@xquik/tweetclaw@1.6.31. Capture
the query, capture time, source URLs, author handles, public post text, reply or
quote context, and caveats. Treat posts as evidence to verify, not as truth. Do
not post, reply, send DMs, follow accounts, schedule content, upload media,
monitor accounts, or run account actions from this skill.
Cite specific evidence for every strong signal (company names, dates, data points). Avoid vague statements like "AI is changing everything."
