name: content-product-analyzer description: produce a commercial teardown of a post, creator profile, product page, landing page, or app page from urls, screenshots, or pasted text. use to infer audience, positioning, growth mechanics, monetization signals, credibility, sentiment, and opportunities to borrow or avoid. supports multi-link bundles and competitor comparison; separate observed facts from supported inferences and unknowns; use mixed-mode web verification when public urls are provided or freshness matters and cite sources.

Content Product Analyzer

Turn raw content or product inputs into a structured commercial teardown. Focus on business value, audience, positioning, growth mechanics, credibility, sentiment, and opportunities to borrow or avoid.

Inputs supported

• Single object: one post / creator profile / product page / landing page / app page
• Bundle: multiple URLs / screenshots / text snippets for one product or campaign
• Competitor set: multiple products/pages to compare side-by-side

Evidence modes (must choose explicitly)

1) User-provided only - Use only what the user pasted or what is visible in screenshots. - Do not claim external facts.

2) Mixed mode - Allowed when: the user provides public URLs OR the user asks for “latest/pricing/reviews/current ranking” OR recency clearly matters. - Verify and enrich with public sources. - Prefer: official site → original platform page → pricing/docs → reputable review sources. - Cite factual claims from public sources.

Non-negotiable rules

• Start from evidence, not vibes.
• Distinguish clearly between:
• Observed facts (directly visible/quoted)
• Supported inferences (reasonable, evidence-linked)
• Unknowns (explicitly list)
• Prefer commercial and strategic analysis over technical implementation detail.
• For screenshots: only claim what is visible or directly implied.
• Do not overstate follower psychology, revenue, conversion rates, or traction when not evidenced.
• When input is sparse: state low confidence and keep recommendations lightweight.

Workflow

1) Identify object type(s): post / creator profile / product page / landing page / app page / bundle. 2) Pick evidence mode: user-only vs mixed-mode. 3) Extract observable facts first. 4) Infer audience, positioning, growth/virality mechanics, monetization, sentiment. 5) Separate confirmed facts vs inferences vs unknowns. 6) Produce BOTH outputs (in order): - Structured summary - Detailed teardown 7) End with concrete advice tailored to: - creator (content packaging, hooks, formats, audience resonance) - indie builder (positioning, MVP, pricing, distribution, differentiation)

Analysis lenses (pick what’s relevant; don’t force all)

For creators / posts / social profiles

Assess: - Content topic and promise - Hook structure & attention mechanics - Tone/persona & stylistic signatures - Engagement structure (replies/saves/reposts/CTAs) - Likely audience and motivations - Credibility signals & weak signals - Commercial intent (sponsorship, lead-gen, affiliate, community funnel, product funnel) - What is repeatable vs personality-dependent

For products / landing pages / app pages

Assess: - Core problem and target user - Positioning & category framing - Value proposition clarity - Feature packaging vs differentiation - Pricing/monetization signals - Social proof, trust, risk - Marketability (share/buy/ignore triggers) - Objections & opportunity space for an indie builder

Required output format

1) Structured summary (compact)

Use these fields when applicable:

• 物件型別
• 一句話定位
• 目標使用者
• 使用者想要的結果
• 內容/產品風格特徵
• 增長或傳播機制
• 商業模式/變現線索
• 可信度訊號
• 風險或不足
• 可借鑑點
• 建議動作
• 結論置信度: 高 / 中 / 低

2) Detailed teardown (long-form)

Use this default structure (adapt as needed):

分析標題

核心資訊提煉

Only the highest-signal facts.

結構化拆解

Topic/audience/style/mechanics/commercial logic.

使用者與市場判斷

Who it is for, what desire/pain it maps to, market signal.

商業價值與增長判斷

Monetization clues, retention/funnel logic, why it may or may not work.

風險、槽點與反證

What’s missing, inflated, weak, or misleading.

可複用方法

What a creator/indie builder can actually borrow.

建議

Tailor advice: - For creators: topic ideas, hook patterns, audience angles, content directions. - For indie builders: positioning, MVP, monetization, differentiation, GTM.

一句話結論

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Sharp final judgment.

Competitor comparison add-on (when user provides 2+ competitors)

If the user asks “競品對比 / compare / vs”, append this section after the teardown:

競品對比矩陣

Create a markdown table comparing: - Positioning sentence - Target user / job-to-be-done - Key differentiators - Pricing / plan structure signals - Trust & proof - Distribution channel guesses - Likely wedge (why users start) - Likely lock-in (why users stay) - Risks / gaps

對比結論與切入策略

• What is easiest to copy vs defensible
• Underserved segment(s)
• Recommended wedge for the user
• 3–7 action items (sequenced)

Quality bar

A good answer should: - Read like a sharp operator, not a generic summarizer - Contain explicit judgment, not just description - Surface upside AND failure modes - Produce at least 3 concrete suggestions when enough evidence exists - Be honest about uncertainty

整體質量很好，是一個專業且實用的分析工具。它的最大優點是分析思路清晰，能把內容拆解得很細緻，輸出格式也很規範。中文支援做得很用心，示例豐富容易上手。適合用來分析產品頁、創作者內容或做競品對比。稍有不足的是，某些複雜分析場景可能需要多次調整 prompt 才能得到理想結果，另外對於需要即時資料的場景，分析結果的時效性可能不穩定。總體來說，這是一個值得信賴的分析型 Skill。