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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    tiktok account diagnostic

    2

    Data-driven TikTok auditor that generates scored diagnostic reports and 30-day action plans from account metrics.

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    tiktok account diagnostic

    tiktok account diagnostic

    Example session with this skill installed

    A seller of home products in the US market has been running a personal account for over two months. They have added shopping carts and post 2 product videos per week. The data looks decent—average views are 460, with one 'before-and-after product usage' video reaching 2100 views—but there have been almost no orders in the past 30 days. They don't know what the problem is.Followers: 380
    30-Day Follower Growth: 210
    Average Likes: 18
    Average Comments: 1.2
    Average Shares: 2

    • Read your context and instructions
    • Compiled the tiktok account diagnostic
    • Generated the document

    TikTok Account Diagnostic Report
    Section 1 — Composite Rating Card
    🔴 Grade C · 44/100
    Your account is stuck at the cold-start bottleneck: healthy traffic structure but insufficient content supply, and the conversion chain breaks at the "cart click" stage — you have views, but no clicks and no orders.
    Section 2 — Seven-Dimension Radar Table (Seller Mode Weights)
    表格
    Dimension Weight Score Grade Key Findings
    Positioning 10% 65 Average Home products + US market + cart = good niche-monetization fit; personal account carries slightly less weight
    Content Quality 15% 50 Average Engagement rate 4.6% is "Good," but viral dispersion is 4.6x — output is unstable
    Engagement 10% 55 Average 18 likes is decent, but only 1.2 comments and 2 shares per video — no discussion atmosphere
    Posting Strategy 10% 40 Poor 2 posts/week is below the healthy 3–5 range — content supply shortage
    Fan Profile 15% 45 Average No profile data provided; assessed at benchmark level, US-market match unverifiable
    Monetization 30% 30 Poor Cart enabled but nearly 0 orders in 30 days — the click stage is missing
    Competitor Benchmark 10% 50 Average No competitors provided; assessed at new-account benchmark (200–500 views is normal)
    Key findings (citing your numbers):
    Your engagement rate is (18+1.2+2)÷460 = 4.6%, inside the 4–8% "Good" band — your content resonates with people who see it
    Your top video (2100 views) is 4.6x your average (460) — the "before-and-after" format works, but you haven't replicated it
    Your follower-growth-to-views ratio is roughly 5% (210 new followers in 30 days ÷ ~4,000 estimated monthly views), far above the 1% excellence line — the account lacks neither potential nor appeal; it lacks exposure volume and conversion actions
    Only 1.2 comments per video — a cold comment section directly undermines buyer trust on cart-linked videos
    Section 3 — Top 3 Priority Problems
    Broken conversion chain (highest impact): Cart enabled, views coming in, yet nearly 0 orders in 30 days. At the US home-products benchmark of ~1% cart CTR, 460 average views should yield at least a few monthly orders — meaning your videos contain zero click-driving action.
    Insufficient posting frequency (easiest to fix): 2 posts/week is below the 3–5 healthy range. With your 4.6% engagement rate, doubling supply is the fastest traffic lever available.
    Cold comment section: 1.2 comments per video means potential buyers see no "existing customer feedback" — US shoppers rely heavily on comments when deciding.
    Section 4 — 30-Day Action Plan
    Week 1: Patch the conversion actions
    Insert a spoken or captioned line "Click the cart link on my page" at second 3–5 of every video; within 1 hour of posting, pin a comment: "In stock — tap the cart on my profile; leave a comment for sizing/spec questions" — Target: cart CTR from ~0% to 1.5% within 30 days.
    Replicate your 4.6x outlier "before-and-after" video with 2 new videos using the same structure (show the after-effect in the first 3 seconds) — Target: 1 video hitting 1500+ views within 2 weeks.
    Week 2: Scale up supply
    3. Raise output from 2 to 4 posts/week (2 before-and-after + 1 tutorial + 1 unboxing) — Target: average views from 460 to 700+ by end of Week 2.
    Weeks 3–4: Warm up the comment section
    4. End every video with an either/or question (e.g., "Does your kitchen or bathroom need this more?"); seed answers yourself or via friends — Target: average comments from 1.2 to 5 per video within 30 days.
    5. Reply to 100% of comments and pin any comment containing "bought it" keywords — Target: comment-to-like ratio steady above 5% within 30 days.
    Section 5 — Seller-Specific Advice (Conversion Chain)
    Turn winning product content into a template: Your "before-and-after" structure is data-validated (2100 views = 4.6x average). Make it your account's core format, not an occasional experiment.
    Cart placement: Ensure the product link sits in both the lower-left shopping bag on the video and your profile showcase; the caption must include an explicit call to action — US users will not hunt for links on their own.
    Ad timing: Hold off on paid traffic for now. Once the before-and-after template organically produces 2 videos at 1500+ views, run a small Promote test on the one with the highest completion rate — for hands-on ad execution, consult TikTok for Business officially.
    Section 6 — Market Localization Tips (US)
    US shoppers lean heavily on comment sections for purchase decisions — original on-camera presence + genuine comment interaction converts far better than pure product showcases. Show yourself demonstrating real use scenarios.
    US audiences are sensitive to "hard-sell" vibes — frame before-and-after videos in authentic home settings, not studio-style shoots.
    Section 7 — Data Anomaly Notes
    No sanity-check anomalies were triggered by your inputs. Note however: all 15 full-tier fields are missing, so fan profile, completion rate, and cart CTR were assessed at benchmark level — the scores for dimensions 5 and 6 carry a ±10-point margin.
    Section 8 — Disclaimer
    This diagnosis is based on the data you provided and 2026Q3 industry benchmarks. It is for operational reference only and does not constitute investment advice. Benchmarks shift with platform rules — please refer to recent official TikTok announcements. Your data was used solely for this diagnosis and has not been stored.
    💡 Next step: Reply "深度诊断" (deep diagnosis) to supply the 15 full-tier fields — completion rate, traffic sources, fan regions, cart CTR, 30-day GMV, etc. That upgrades your two heaviest weak dimensions, Fan Profile (45) and Monetization (30), from "benchmark estimate" to "precision scoring."

    tiktok-account-diagnostic.pdf

    PDF · document

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    Example file from a real run - the skill writes it into your workspace.

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    What you get

    Identify conversion bottlenecks in TikTok Shop data to increase GMV.Analyze creator engagement rates against 2026 industry benchmarks.Generate a 30-day growth roadmap with measurable metric targets.Score account health across seven dimensions to find hidden performance gaps.

    About this skill

    Low engagement and stagnant follower counts often stem from invisible data patterns rather than just poor video quality. This skill functions as a data-driven TikTok diagnostic consultant, turning raw account metrics into a structured 30-day operational roadmap.

    What it does

    • Multi-mode analysis evaluates accounts differently based on whether you are a cross-border seller (monetization focus) or a content creator (growth focus).
    • Metric validation performs sanity checks on user-provided data like completion rates, GMV, and follower growth to ensure reporting accuracy.
    • Seven-dimension scoring calculates a weighted composite score across key performance indicators using built-in 2026 industry benchmarks.
    • Actionable roadmaps generates specific optimization tasks that include a concrete action, a measurable target metric, and a strict deadline.
    • Gap analysis identifies which specific Tier 1, 2, or 3 metrics are underperforming relative to platform averages for your niche.

    How it works

    1. Identity selection requires choosing between seller or creator mode to set the correct diagnostic weights.
    2. Guided data entry follows a structured prompt sequence to collect 15+ metrics, providing "where-to-find" instructions for each field in the TikTok app.
    3. Automated scoring processes the inputs against the scoring engine to determine a rating band from S to D.
    4. Report generation produces an eight-section diagnostic report including key findings, dimension scores, and a 30-day execution plan.

    Frameworks & tools

    The skill operates as a standalone diagnostic engine using internal logic and benchmarks updated through 2026 Q3. It requires no external API connections or web browsing.

    Why this beats prompting it yourself

    Generic prompts often return vague advice like "improve video quality." This skill enforces a hard three-element rule for every suggestion, ensuring you get specific instructions like "increase 3s retention to 45% within 7 days" based on a rigorous scoring weight system that manual prompts cannot consistently replicate.

    Use cases

    • Diagnose why a TikTok shop is seeing high traffic but zero GMV conversion.
    • Review account health for a content creator stuck at the 200-view jail.
    • Perform due diligence on a TikTok account before a potential acquisition or partnership.
    • Audit a brand's cross-border operation performance against current industry benchmarks.

    Known limitations

    Does not analyze video content, visual aesthetics, or ad-buying tactics. Requires manual input of account metrics as it cannot browse the web or access private TikTok accounts directly.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

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