Skill: agimodel/douyin (version 1.0.0)

--- name: Douyin description: > Rebuild weak scripts into stronger Douyin-native traffic structures. Diagnose first-3-second hooks, retention friction, replay triggers, and recommendation-friendly pacing for short-form video. version: 1.0.0 --- # Douyin > **A Douyin script does not win because it is complete. It wins because it survives the first seconds.** Douyin is an algorithm alchemist for short-form traffic structure. This skill is built for creators who want to: - break down why a script fails to hold attention - rebuild weak openings into stronger hooks - restructure pacing for recommendation-friendly short video - improve retention logic before filming - turn average concepts into more distribution-ready formats Use this skill when you need to: - strengthen the first 3 seconds - identify retention drop-off points in a script - redesign a video for stronger opening, tension, and payoff - convert a flat topic into a traffic-shaped short video structure - predict where the script feels too slow, too generic, or too easy to swipe past This skill does NOT: - guarantee virality - replace editing, filming, or account strategy - interpret platform policy or moderation outcomes - act as a general multi-platform content assistant --- ## What This Skill Does Douyin helps: - diagnose hook weakness - identify traffic-killing flat sections - rebuild script pacing for stronger retention - increase replay, curiosity, and completion pressure - turn information delivery into algorithm-friendly content structure --- ## Best Use Cases - short video script diagnosis - hook redesign - retention optimization - topic reframing for Douyin - turning educational or commercial topics into short-form traffic structures - improving “普通内容” into “值得被看完的内容” --- ## What to Provide Useful input includes: - video topic - script or rough outline - target audience - intended emotion (shock, curiosity, desire, anger, identification, aspiration) - current weak point - whether the goal is 播放, 完播, 转化, 评论, or关注 - whether the video is口播,剧情,混剪,测评,知识, or商品导向 --- ## Standard Output Format DOUYIN TRAFFIC ASSESSMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━ Video Goal: [What this video should achieve] Audience Mode: [Who this is for] Traffic Type: [热点切入 / 强钩子 / 情绪反转 / 结果先行 / 冲突驱动] FIRST 3 SECONDS ━━━━━━━━━━━━━━━━━━━━━━━━━━ Hook Strength: [Strong / Medium / Weak] Swipe Risk: [Low / Medium / High] Core Hook: [What the viewer sees/hears immediately] RETENTION STRUCTURE ━━━━━━━━━━━━━━━━━━━━━━━━━━ - Opening pressure point: [why user keeps watching] - Mid-video risk: [where attention may drop] - Payoff moment: [what makes the watch feel worth it] - Replay / comment trigger: [what may drive repeat or reaction] MAIN PROBLEMS ━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ [Too slow] ⚠️ [Too generic] ⚠️ [Hook too soft] ⚠️ [No payoff tension] ⚠️ [No emotional or practical reward] REBUILD PLAN ━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. [Rewrite opening] 2. [Compress weak middle] 3. [Strengthen payoff] 4. [Add replay/comment trigger] NEXT STEP ━━━━━━━━━━━━━━━━━━━━━━━━━━ - [What to rewrite, exaggerate, invert, or cut next] --- ## Traffic Principles - the first seconds decide whether the rest matters - clarity alone does not create retention - a strong opening should create pressure, curiosity, or reward expectation - weak middle sections silently kill distribution - payoff must feel earned and legible - replay and reaction are often created by contrast, surprise, or strong framing - complexity is often the enemy of short-form completion --- ## Hook Lens When analyzing a Douyin script, ask: - Why should the viewer not swipe in the first 3 seconds? - Is the opening showing result, tension, contradiction, or curiosity? - Is the viewer being rewarded for staying? - Is there a reason to rewatch, comment, or send to someone? - Does this script feel like Douyin, or like a normal script awkwardly forced into short video? --- ## Execution Protocol (for AI agents) When user asks for Douyin-oriented script help, follow this sequence: ### Step 1: Parse content intent Extract: - topic - audience - format - emotional goal - current script or outline - what metric matters most ### Step 2: Diagnose the hook Check: - whether the first 3 seconds create pressure - whether the opening gives a reason to stay - whether the opening is too generic, too slow, or too explanatory ### Step 3: Diagnose retention Check: - where attention likely drops - whether the middle is too flat - whether the payoff arrives too late or too weakly - whether the script has replay or reaction potential ### Step 4: Rebuild structure Suggest: - stronger opening line or visual - tighter pacing - more contrast, conflict, surprise, or result-first structure - clearer payoff design ### Step 5: Output traffic logic Return: - hook diagnosis - retention diagnosis - rebuild plan - swipe-risk judgment - next rewrite step ### Step 6: Guardrails If the script depends on trend context, niche culture, or current hot topics not provided: - say so clearly - do not fake trend certainty - ask for audience or niche context if needed --- ## Activation Rules (for AI agents) ### Use this skill when the user asks about: - Douyin script optimization - 前3秒钩子 - retention or 完播 - why a short video feels flat - Douyin-native content restructuring - how to make a script more likely to hold attention - traffic logic in short-form video ### Do NOT use this skill when: - the user only wants generic copywriting - the user needs editing software help - the user wants pure paid-ad buying guidance - the user wants platform policy interpretation - the user asks for a broad all-platform strategy without Douyin-specific goals ### If context is ambiguous Ask: "Do you want Douyin-native traffic restructuring, or just a general script rewrite?" --- ## Boundaries This skill supports Douyin-native script restructuring and traffic-shape analysis. It does not replace: - editing execution - account operations - paid traffic strategy - policy review - platform guarantees of reach or recommendation


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)