postplus-skills

Transcribe local or remote audio into text and timestamps. Convert an existing timed transcript locally into SRT or ASS without another transcription job.

Transcribe speech in local or remote videos with timestamps. Convert existing timed transcripts locally into SRT or ASS; use media-analysis for visual understanding.

Research Google Trends keyword momentum, regional interest, and related queries. Use search-interest evidence without treating it as sales or total demand.

Research public Facebook pages, groups, posts, reels, comments, ads, events, marketplace listings, and profiles for audience or competitor evidence.

Research public YouTube channels, video metrics, and comment samples; obtain downloadable video records when requested. Use for content and audience evidence.

Analyze local or remote social videos through PostPlus, especially for TikTok/Reels shot beats, timelines, voiceover or on-screen text capture, creative strategy, and natural Markdown outputs. Use this when you need video-level analysis beyond metadata and want results linked back to source metadata.

Research public TikTok videos, comments, creators, profiles, related videos, and paid ad examples for audience evidence and creative benchmarks.

Shared rules, routing preferences, execution boundaries, and workflow references for released PostPlus skills. Use this before any PostPlus skill that mentions shared public skill rules, research preferences, product-selection preferences, source-of-truth files, TikTok music workflow, ads workflow, or user guidance.

Turn existing benchmark reports, pattern tables, or audience evidence into grounded campaign briefs, concepts, hooks, and test plans.

Prepare and manage social publishing requests through PostPlus, with explicit approval before publishing or other account changes.

Plan short-form post-edit decisions from A-roll, B-roll, scripts, and reference videos. Use this when the goal is not generic video analysis or rendering, but deciding how to cut a social video beat by beat, including where to stay on face, where to insert proof B-roll, how to use reference patterns, and how to package an actionable edit plan for a human editor or downstream timeline tooling.

Execute ready image briefs and edits, including product or persona images and batch variants. Use resolved references and return image assets with saved run results.

Turn reference videos, frames, or contact sheets into reusable hook and visual rules for new creative prompts, with clear imitation boundaries.

Generate videos from briefs, prompts, images, audio, or reference clips. Choose a Seedance 2.5 generation mode, submit one or many clips, resume runs, and download results.

High-level entry point for Instagram and Meta public social data extraction when the user has not named a platform-specific workflow yet.

Convert normalized timed transcript data into subtitle artifacts such as SRT and ASS. Use this when a stable normalized transcript JSON already exists and the main job is subtitle chunking, timing normalization, and export packaging.

Synthesize supply-side and demand-side evidence into a practical sourcing judgment for a product, niche, or shortlist without collapsing platform data collection and business judgment into one step.

Execute approved voice design or cloning requests from scripts and persona references. Return reusable audio takes and saved run results with consistent voice identity.

Record human-in-the-loop quality judgments for generated images, voice takes, and videos in short-form production. Use this when a person has reviewed an asset and you need structured verdicts, reasons, issue categories, and rerun guidance without turning subjective approval into untracked chat history.

Route audio, video, transcript, subtitle, and edit-prep requests into the right media-understanding workflow before execution. Use this when the user wants transcription, subtitle generation, beat mapping, B-roll planning, or edit-ready outputs and the first question is which skill and model chain should run.

Extract useful frames from local video files based on task intent, such as persona research, shot breakdown, product visibility, UI walkthroughs, visual-style review, or CTA/compliance checks. Use this when the goal is not generic video analysis, but selecting the right still frames and contact sheets for a specific downstream need.

End-to-end TikTok or Instagram slideshow production with vibe-driven prompt writing, local JSON slide management, optional localhost review GUI, batch GPT Image 2 generation, and text overlay compositing. Use this when the user wants to create slideshows or carousels from scratch, including script planning, image prompts, and export-ready slide sequences.

Build explicit learn/do-not-copy contracts for image and video generation references. Use this when a prompt uses benchmark videos, contact sheets, frames, or product images and you need to state exactly what the model should learn, what identity elements must change, and which references should be excluded from the first test.

Review storyboard prompts and video-request prompts before generation. Use this when a prompt draft already exists and you need to catch weak first frames, drift risk, missing constraints, bad product timing, or generic ad-like language before spending model credits.

Turn approved storyboard logic, beat sheets, or prompt plans into provider-ready short-form video requests. Use this when the segment structure is already known and you need a model-agnostic request architecture that can later map cleanly into Seedance or other video generators.

Use when preparing, submitting, polling, or debugging Seedance 2.0 or 2.5 video generation jobs from prompts, opening/ending frames, multimodal references, storyboard images, UGC scripts, or voiceover copy. Use for selecting an unambiguous scene endpoint, uploading references, composing submit flags, submitting through PostPlus Cloud, polling predictions, and handing off local render paths.

Write dense storyboard-grid prompts for short-form image or previsualization workflows. Use this when a generation task needs a 6-9 panel grid with hook logic, visible actions, product timing, and negative constraints before image or video generation.

Plan image creation or edits from prompts, products, or references. Resolve task type, model, and reference rules before handing ready requests to image-batch-runner.

Plan TTS, voice cloning, voice change, translated dub, or lip-sync audio. Resolve voice and reference policy before handing a ready request to voice-batch-runner.

Route generative media requests before any creative planning or provider execution. Use this when the user asks to generate, modify, dub, animate, or assemble image, video, audio, workflow, or analysis-derived media and the first decision is which generation controller should own the job.

Orchestrate the public UGC creative production line from product or research evidence through creator logic, storyboard, image/video/audio generation handoffs, montage planning, and QA. Use this when the user asks for a repeatable UGC-style ad or creator video workflow rather than one isolated media asset.

Research Instagram accounts for creator discovery, competitor profiling, and account health snapshots using hosted profile and post collection.

Hosted collection support guidance for Instagram workflows, including dataset normalization, ranking, comment clustering, and watchlist construction.

Research public Instagram accounts, posts, Reels, comments, hashtags, and creators for audits, benchmarks, audience voice, or collaboration shortlists.

Discover Instagram creators through search, hashtags, tagged mentions, posts, and Reels, then enrich and rank them into research pools and shortlists.

Find public Pinterest images from a keyword for moodboards and visual inspiration. Return usable image links, source pins, and titles.

Benchmark Instagram posts and Reels to discover winning content patterns, shortlist high-value examples, and extract reusable hooks and formats.

Build creator lead lists for TikTok, Instagram, and X by turning normalized platform datasets into outreach-ready leads with contact signals, shortlist logic, and draft outreach messages. Use this when the user wants creator discovery, contact extraction, shortlist building, or outreach prep.

Scout Instagram hashtag opportunities, branded mentions, and campaign spread to monitor public UGC and creator participation.

Control video generation requests before execution. Use this when the user asks for a simple clip, storyboard video, UGC video, podcast clip, reference video, talking-head, image-to-video, text-to-video, or research-handoff video and the skill must classify the request before handing it to video-request-architect and a runner such as seedance-submitter or video-batch-runner.

Mine Instagram comments to extract audience language, pain points, objections, FAQs, and purchase-intent signals from shortlisted posts or Reels.

Design lifestyle ads where product capability supports a desirable human state. Produce or review shot scripts with grounded product behavior and subtle proof.

Inspect multiple reference or benchmark videos shot by shot, record observable visual and audio evidence independently for each source, then synthesize their recurring short-form style grammar, one-off details, imitation boundaries, and generator risks in one human-readable Markdown report. Use before image prompt construction, video request architecture, Seedance workflow creation, or batch media generation when reference footage defines the desired production language.

Research TikTok Creative Center or ad-library style datasets for winning ad patterns, regions, objectives, hook language, and creative signals without mixing paid ads with organic creator discovery.

Download TikTok video samples for selected music or sounds, extract local audio references, and preserve manifests for reproducible music research archives.

Design or review product commercials with a controlled visual mechanism, observable product behavior, sound, and payoff. Produce a brief or shot script.