Framework-Driven Speechwriter
Framework-Driven Speechwriter
Showcase
Description
Provide a framework (the central line of reasoning) and several versions of raw material. Following the strict rule of “align the structure before fitting the content,” this Skill breaks the material into usable talking points, places them under the right framework nodes, and rewrites and expands them in a conversational style to match the target duration—producing a detailed, word-for-word speech you can deliver on stage. Public, objective data can be verified online and cited; private material (your own results, lists, cases, and images) is handled honestly, with gaps clearly identified and never fabricated. A “Pending Items Checklist” is included at the end. The Skill works across domains and adapts its style and structure to your input.
Related Skills
View all
Lesson Prep Script V1.0
Helps instructors/knowledge IPs directly turn lesson preparation topics into a ready-to-use 30-minute spoken-word script—just pick it up and read, not secondary prompts. What it solves Traditional lesson preparation requires instructors to go through "ideation → break into modules → write script → mark pacing → design interactions", which is time-consuming and easy to miss details. This Skill compresses this process into a 5-step interaction. Instructors only need to provide the topic and key knowledge points, and the rest is automated. Core capabilities ① Five-step structured interaction: Select lesson type → Receive preparation content → Deep analysis with option presentation → Ask for style preference → Directly generate a complete spoken-word script. Each step waits for user confirmation before proceeding. ② CXO three-dimensional teaching verification: Each module is annotated with teaching dimensions — C (Content/Knowledge), X (Experience/Practice), O (Objective/Output), ensuring full coverage throughout. ③ Spoken-word script template: Each segment follows the framework of Hook → Key Point → Structure → Call to Action. The structure supports four modes: reason, method, situation/reaction, and chronological order. ④ Complete output includes: 7 modules totaling approximately 7,900 words of spoken text + tone cues (【Pause 2 seconds】【Emphasis】) + audience interaction instructions + CXO paragraph annotations + full statistics. ⑤ Seven-dimensional quality check: Word count deviation / Spoken style / Template completeness / CXO coverage / Logical coherence / Pacing / Reusability — each dimension is checked, and if any fails, it is corrected and regenerated.
Research Report Generator
📝 Value in one sentence: Enter a topic or upload materials, and AI handles the entire process from organizing sources to drafting. 🔍 Core features: Smart source integration: Upload multiple documents and AI automatically extracts key viewpoints, critical data, and representative cases, while removing duplicates and flagging conflicts. Automatic outline generation: Based on the topic or source content, it creates a logically clear and well-structured article outline. One-click draft writing: Generates content section by section according to the outline, with every data point and case study source-tagged and traceable. Five writing styles: Supports formal reports, WeChat articles, Xiaohongshu notes, academic papers, and business briefings. Transparent citations: Every figure and viewpoint is marked with its source—no fabrication or invention. Automated content workflow: Source parsing → viewpoint extraction → outline generation → writing in five styles. 🎯 Use cases: 📊 Industry research: Enter "Humanoid Robot Industry 2026" to generate a draft analysis report with data and case studies. 📝 Content creation: Upload 3 related articles to combine into an in-depth WeChat article. 📚 Academic writing: Upload multiple paper abstracts to create a literature review draft. 📋 Competitor analysis: Upload several competitor documents to instantly generate a comparative analysis report. 🧠 Personal learning: Enter a new-domain topic to quickly generate a knowledge overview. 💼 Business decisions: Input business data and background information to produce a decision brief for the CEO. 👩💼 Who it's for: Researchers, analysts, content creators, product managers, students, and consultants—anyone who needs to quickly produce high-quality first drafts.
Content Reconstruction Expert
After an expert course, training session, interview, or meeting, what remains is often a long, messy transcript that is difficult to use again. The Expert Content Reconstructor fully restructures existing text into genuinely usable content deliverables. It does not produce a summary that keeps only the conclusions; it preserves definitions, explanations, examples, conditions, figures, limitations, steps, and conclusions, then reorganizes them into a clear knowledge hierarchy. You can use it to: - Turn transcripts of expert courses into reusable knowledge notes; - Turn training materials or speeches into course outlines, course content, and PPT page copy; - Turn interviews, articles, or meeting notes into structured articles, knowledge base entries, or team documents; - Organize multiple materials into searchable, traceable knowledge packages. You only need to provide the existing text and explain who will read it, how deeply it should be organized, and what output format you prefer. You will receive: - Complete knowledge notes, articles, course outlines, course content, or PPT page copy; - Clear heading levels, paragraphs, lists, and necessary terminology explanations; - Teaching notes that students can study directly, without retaining paraphrasing such as “the speaker says” or “the course will cover”; - Structured content that can be delivered directly to clients, teams, or a knowledge base; - Source logs, content ledgers, glossaries, quality reports, and retrieval chunks as needed; - No compression of useful content simply for brevity, and no added viewpoints, examples, or conclusions that are not present in the source material. Suitable for organizing existing written materials; Does not handle audio recognition or generate transcripts from audio.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
