Loading...
Loading...
Found 61 Skills
帮中文用户从当前已发布的 PostPlus skill surface 里找到合适技能，并给出公开安装命令。适合“有什么技能可以做 X”“我该装哪个技能”“帮我解释当前已发布技能范围”的场景。
Shared rules, routing preferences, execution boundaries, and workflow references for released PostPlus skills. Use this before any PostPlus skill that mentions shared release-shell rules, research preferences, product-selection preferences, TikTok music workflow, or ads workflow.
Lay out an existing draft or script into a Xiaohongshu image-post or long-image package without rewriting the source. Use this when the user wants pagination, hierarchy, image placement, and renderable HTML/CSS while preserving the original wording, information density, and voice of the source text.
Local execution tools for X/Twitter hosted collection workflows, including actor runs, dataset normalization, tweet ranking, account ranking, audience graph construction, and language clustering.
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.
Research Instagram accounts for creator discovery, competitor profiling, and account health snapshots using hosted profile and post collection.
Turn an existing HTML page, landing page, oral script, memo draft, result table, or structured source material into a Xiaohongshu card-style image note. Use this when the user wants page-by-page card planning, cover copy, card text, or a design-ready Xiaohongshu图文 brief based on source material rather than writing a plain note from scratch. This skill is especially for 3:4 Xiaohongshu cards that may mix image-led pages with high-density memo pages, using strong information hierarchy and screenshot-worthy text density rather than generic sparse carousel copy.
High-level entry point for cross-platform public social data extraction when the user has not named a platform-specific workflow yet.
Collect validated Xiaohongshu image assets from normalized XHS datasets into local manifests and downloaded files. Use this when you need reproducible local media artifacts from note covers or other already-exposed remote asset URLs.
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.
Transcribe local or remote audio into durable text and timestamp artifacts using hosted Whisper models. Use this when the job is speech-to-text from audio files and you need request/response persistence, optional timestamps, and subtitle-ready outputs.
Convert normalized timed transcript data into subtitle artifacts such as SRT and VTT. Use this when a stable normalized transcript JSON already exists and the main job is subtitle chunking, timing normalization, and export packaging.