Jun
Spark | Video Diagram Maker
Many videos don’t lack content—they’re simply too abstract or dense. Viewers understand one sentence, then forget it by the next. “Spark | Video Diagram Maker” turns your ideas, brainstorms, outlines, scripts, transcripts, or articles into visual concepts worth showing. It then determines whether each idea is best expressed as a process, comparison, architecture, hierarchy, loop, branch, decision tree, or another diagram structure. It won’t draw just to meet a quota, or cram complex content into one cluttered infographic. Multiple diagrams maintain the same visual language, naming, and semantic color system, making them easy to insert into a video as a visual framework for explanation. Especially useful for: Explaining complex concepts Breaking down workflows Comparing two methods Showing system structures Clarifying cause-and-effect relationships Turning long brainstorms into a set of visual nodes for a video The default output is a 16:9 static diagram. If the runtime environment cannot provide an editable Excalidraw source file, this will be stated clearly rather than presenting a static image as a .excalidraw file. Use cases Use case 1 | Turn brainstorms into diagrams You have a long stream of spoken ideas but no complete script. The skill identifies the points most worth illustrating and organizes them into a set of diagrams with a clear narrative sequence. Use case 2 | Turn scripts into video visual nodes You already have a complete script but don’t know where to add visuals. The skill determines which sections are worth visualizing and selects suitable diagram types. Use case 3 | Explain complex concepts For example: how AI Agents work, why workflows matter more than one-off demonstrations, how a business model operates, or which layers make up a product architecture. Use case 4 | Break down workflows and processes For example: topic pool → research → Hook → script → production → review. Use case 5 | Make comparisons For example: without a workflow vs. with a workflow; traditional methods vs. AI methods; one-time success vs. stable, repeatable results.
Spark | Video Hook Builder
Many videos aren’t held back by weak content—their openings simply fail to make the real value clear. “Spark | Video Hook Builder” follows the BRENS Hook Builder approach: first identify the Content Promise, then determine which of Big, Relatable, Easy, New, and Safe are genuinely present before writing the Hook. It won’t invent data, experiences, results, or authority just to make the opening feel “more explosive,” and it won’t force all five BRENS dimensions into every Hook. You can use it to refine an existing opening or build one from scratch using a script, transcript, or outline. If you’ve already analyzed a reference video with “Spark 02,” you can also transfer only its structure to your own content. Core sequence: Content Promise → BRENS → Hook Ideal for creators making YouTube videos, video podcasts, educational content, hands-on reviews, tutorials, interviews, and other formats where more efficient opening communication matters. Mode A｜You have an opening, but it isn’t engaging enough (Polish) Provide: your current Hook + the main content, outline, or content summary. Example: Here’s my current opening and the video content. Keep my tone as much as possible, make only necessary edits, and bring the genuinely worthwhile parts forward. Mode B｜You have the content, but no opening yet (Build) Provide: a transcript, complete script, outline, or clear content summary. Example: Here’s my video content. First determine what this video can genuinely promise, then write 1 recommended opening using BRENS. Mode C｜You’ve already analyzed a reference video with Spark 02 (Transfer) Provide: Spark 02’s Hook Outline or reusable template + your own content. Example: Transfer only the beat functions from the reference structure below. Don’t copy the original video’s facts or wording; use my content to write my own opening. Mode D｜You only want a diagnosis, not an AI rewrite (Audit) Provide: your existing Hook + the main content or outline. Example: Only diagnose it with BRENS—don’t rewrite it. Tell me the 1–3 changes that matter most right now. Recommended input priority: Finished-video transcript / complete script Content outline Clear content summary Existing Hook / title Reference structure from Spark 02 The closer your materials are to the finished video, the less likely the Hook is to “outpackage” the content. If your target audience, platform, video length, tone, number of versions, or desired degree of change is already decided, include it directly.
ResearchSpark | Video Hook Analyzer
When preparing to make a video, we often run into the same problem: you can clearly see that a reference video “knows how to tell a story,” but when it’s your turn to create, you can only imitate it by feel. 「Spark | Video Hook Analyzer」is designed for this step. Give it a specific YouTube video. It first verifies the video and reads captions that can be checked, then separates three things that are easy to conflate: Literal 30s: What actually happens from 0:00–0:30. Intro: The entire opening before the main content begins. Hook / Re-hook: One or more structural beats that genuinely work to keep viewers watching. So it won’t force the first 30 seconds of every video to be interpreted as the Hook just because “everyone says the first 30 seconds matter most.” If the real Hook comes after the one-minute mark, it will tell you plainly. If the captions or timestamps are insufficient, it will clearly identify the evidence gap instead of filling it with an answer that merely looks professional. After breaking down the opening, it continues by using an outline to reconstruct the structure of the full video: Does it move forward through a timeline, experiment, process, comparison, story, chain of questions, or another organizing device? Finally, it abstracts these structures into [slots] templates. The templates preserve the sequence and function of the structure—not the original creator’s experiences, wording, brand, numbers, opinions, or authority. What you ultimately get is not a video summary, but a Hook Outline + full-video structure template that can be handed off to the next stage of creation. What it does not do It does not: Write the final new Hook for you; Score or rewrite your opening with BRENS; Search the entire niche or channel at scale; Generate a complete script; Generate diagrams, assets, animations, or thumbnails. Finding reference samples at scale belongs to the upstream 「Spark | YouTube Content Researcher」; refining your own Hook belongs to the corresponding follow-up Skill.
ResearchSpark | YouTube Researcher
Planning a video but unsure how others have already covered the topic? “Spark | YouTube Researcher” conducts real research on YouTube: finding relevant videos, reading transcripts, breaking down titles and the first 30 seconds, reconstructing content structures, and identifying recurring approaches, clear differences, and gaps that no one has addressed well across multiple examples. You can use it to: Research which approaches are repeatedly used for a topic Deeply analyze how a video is presented Scan a channel’s topics, titles, and content patterns Break down the first 30-second hook and the full video structure Find new creative angles in existing videos Research how to repackage your own finished video It won’t jump to the conclusion that a title must work simply because one video has high views. When transcripts, timestamps, or performance data are unavailable, it will also clearly tell you what evidence is missing. What you get is not a pile of video summaries, but a YouTube research brief you can hand directly to the next step of topic development, hook creation, or scriptwriting. Ideal for YouTube creators, video planners, social media operators, and anyone who wants to see how far others have taken a topic before starting to film.
Thesis Change Monitor
No need to monitor a company every day Once you start following a company, it’s easy to fall into a routine: Checking the news, earnings reports, interviews, research reports, and stock price every day… Because you’re always worried: “Could there be an important change I’ve missed?” The problem is that most updates don’t actually change anything. Product launches, management interviews, analysts raising price targets, stock price movements, repeated media coverage… After taking it all in, you may still not know: Is there anything that truly deserves a fresh assessment of this company?
Sprout | Thesis Auditor
Don’t help me prove my thesis. Help me audit it. Many investment judgments go wrong not because the data is entirely incorrect, but because accurate data is used to support an overextended conclusion. For example: “AI orders are growing rapidly, so profits are certain to grow quickly over the next three years.” “The company’s business is strong, so the stock must be cheap right now.” “Customers keep increasing, so the company has already achieved network effects.” “Management says the technology is leading, and it’s included in the financial reports, so the moat has been proven.” 「Sprout | Thesis Auditor」doesn’t search for more reasons to prove you’re right. It breaks your investment thesis into an auditable Critical Path and examines it layer by layer: Facts → Evidence → Causal Relationships → Hidden Assumptions → Commercialization → Economic Outcomes → Valuation By prioritizing first-party sources, it answers several questions that truly matter: Which parts have already been supported by evidence? Which are merely reasonable inferences? Which necessary link is the most fragile? Is there counterevidence that genuinely attacks the Thesis? What evidence is most likely to change the conclusion? It ultimately provides one of five ratings: SUPPORTED / PARTIALLY SUPPORTED / FRAGILE / BROKEN / INSUFFICIENT DATA Every conclusion must be traceable to specific Necessary Claims and evidence—not a vague “on balance” assessment.
ResearchSprout Signal Translator
In a major industry news story, the company mentioned in the news is often not the one most worth researching. A surge in NVIDIA demand could reshape the server, power, and cooling industries; rapid growth at a private AI company could actually generate revenue for cloud providers, chip designers, and networking suppliers; and a highly publicized CEO speech may not have changed any economic facts. Sprout Signal Translator first verifies the event, then traces the value chain: What happened → What assumption changed → Where is the money flowing → What is the next bottleneck → Who already has the capability to solve it → Has the market already been revalued. It looks for both direct beneficiaries and potential losers, Picks & Shovels, and Emerging Sprout Candidates whose “mature core business provides a safety net while a new industry provides growth options.” When it cannot find a reliable economic transmission path, it allows the output NONE. It does not provide BUY / SELL recommendations, price targets, or return promises. Its goal is not to predict the next skyrocketing stock, but to translate industry changes into research leads worth validating further.