680 AI-HIVE Agent Skills: 340 new Chinese skills for AI model experts, covering Seedance, Nano Banana, GPT Image 2, Seedream, MiniMax, e-commerce images and videos, advertising and marketing, and AIGC workflows.
A capacity-planning guide for small creative or service studios. It compares available people, equipment, work hours, current projects, deadlines, waiting time, and rework to show where work is likely to bottleneck.
A talking-head video editing advisor for removing mistakes, repeated phrases, and long pauses while preserving the speaker's meaning. It compares the original sound and picture to suggest natural jump cuts.
A workplace AI training planner that turns job tasks into practice exercises, checks, and follow-up work. It is designed for teams with different levels of experience using AI.
A video-editing adviser for deciding how one shot should lead into the next. It considers whether the change continues an action, jumps in time, or changes the subject.
A framing adviser for fitting people, products, actions, and captions into a vertical video. It plans camera position, cropping, and areas that must remain clear.
A batch video production scheduler that arranges scripts, shared materials, generation, editing, review, and rework into ordered batches. It accounts for people, deadlines, dependencies, and known tool limits.
A video-production cost planner that breaks a generated video into shots, retries, preparation, and human editing work. It uses current pricing information when available and separates confirmed costs from assumptions.
A short-video enquiry diagnosis advisor that examines the path from viewing a video to clicking, submitting information, and making an enquiry. It separates evidence from guesses and identifies missing measurements.
A short-video lead-capture advisor that helps turn interested viewers into voluntary enquiries, bookings, or information requests. It designs the entry path, the minimum form fields, and clear explanations of what happens after submission.
A guide for comparing AI video models against a specific shot, input material, motion, subject-preservation needs, duration, and budget. It relies on currently verified model information rather than assumed specifications.
A video-opening writing guide that creates ways to move quickly from a viewer's problem or desired result into the main content. It checks that the opening's promise is supported by the rest of the video.
A video-quality diagnosis and repair guide for problems such as darkness, noise, blur, or compression. It compares the original and exported files to judge what can be improved and what would require a reshoot.
A guide for deciding whether an older video should be kept, updated, reshot, or retired. It checks old claims, interfaces, permissions, audience needs, and new source material before suggesting changes.
A video search-question guide that turns real audience wording and search records into grouped questions and content topics. It distinguishes learning, comparison, problem-solving, and service-seeking intent.
A guide for planning the roles of speech, music, natural sound, and sound effects in a video. It focuses on making speech understandable while respecting the chosen sound style and music rights.
A video experiment-planning guide for comparing versions that differ in length, structure, presentation, or requested action. It records the question being tested and separates the changed factor from other differences.
A video-delivery acceptance guide for checking work made by an outside production team against the agreed brief and files. It separates technical faults, missing deliverables, and personal taste.
A work-achievement evidence guide that links tasks, results, records, and team roles to a person's actual contribution. It distinguishes effort from measurable outcomes and shared credit.
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