Guided Literature Search
From field mapping to focused research topics
Description
Why we love this skill
A review-first workflow turns vague ideas into actionable topics, while four-question screening, source verification, and download-status labels help guard against citation hallucinations. It balances Chinese databases with English open access to deliver a focused, verifiable reading list.
Search literature differently: this Skill gives you a “map of the field” first. It offers five standout capabilities: ① Reviews first, core papers second (a strict rule)—find 3–5 review articles to map the field, then follow their references to locate core literature, so you are not overwhelmed by hundreds of papers from the start; ② Literature authenticity verification (to prevent AI hallucinations)—uses placeholder-pattern checks and real-time verification through CrossRef, DOI, CNKI, and Wanfang, checking each author, journal, DOI, and page number without fabricating a single reference; ③ Automated advanced CSSCI searches on CNKI—when you have VPN or institutional access, automatically extract CSSCI records and abstracts, up to 100 papers at a time, and save them directly to Excel; ④ Direct English OA downloads—download directly from arXiv, MDPI, Frontiers, and other sources at 100%; download approximately 50–70% of Springer and Elsevier OA papers directly; for paywalled papers, receive a DOI link and VPN download instructions; ⑤ Topic selection with the Three-Circle Focus Method—intersect policy trends, your prior experience, and your problem awareness to turn a vague idea into a genuinely worthwhile research topic. The seven-step core workflow is: research topic design → keyword refinement → find reviews first → find core literature → screen and verify → attempt downloads → produce a prioritized reading list. It also includes two enhanced modules: a structured 12-element breakdown in Excel and iterative reflection after reading. Clear boundaries: it does not promise to bypass CNKI’s anti-scraping protections to download Chinese full texts, log in to a VPN on your behalf, or write the main body of your paper. Designed for graduate students, university faculty, and academic researchers who need to conduct systematic literature searches.
Related Skills
View all
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.
Goofy Word Mnemonics
Enter an English word and get a comic-strip memory card: its pronunciation, meaning, and example sentence are all drawn into one continuous mini-scene using speech bubbles, signs, and sound effects. Outside the image, leave only one line of header information and one line of recall prompt. Impact matters more than polish; child-safe.
Guided Literature Search
From field mapping to focused research topics
Description
Why we love this skill
A review-first workflow turns vague ideas into actionable topics, while four-question screening, source verification, and download-status labels help guard against citation hallucinations. It balances Chinese databases with English open access to deliver a focused, verifiable reading list.
Search literature differently: this Skill gives you a “map of the field” first. It offers five standout capabilities: ① Reviews first, core papers second (a strict rule)—find 3–5 review articles to map the field, then follow their references to locate core literature, so you are not overwhelmed by hundreds of papers from the start; ② Literature authenticity verification (to prevent AI hallucinations)—uses placeholder-pattern checks and real-time verification through CrossRef, DOI, CNKI, and Wanfang, checking each author, journal, DOI, and page number without fabricating a single reference; ③ Automated advanced CSSCI searches on CNKI—when you have VPN or institutional access, automatically extract CSSCI records and abstracts, up to 100 papers at a time, and save them directly to Excel; ④ Direct English OA downloads—download directly from arXiv, MDPI, Frontiers, and other sources at 100%; download approximately 50–70% of Springer and Elsevier OA papers directly; for paywalled papers, receive a DOI link and VPN download instructions; ⑤ Topic selection with the Three-Circle Focus Method—intersect policy trends, your prior experience, and your problem awareness to turn a vague idea into a genuinely worthwhile research topic. The seven-step core workflow is: research topic design → keyword refinement → find reviews first → find core literature → screen and verify → attempt downloads → produce a prioritized reading list. It also includes two enhanced modules: a structured 12-element breakdown in Excel and iterative reflection after reading. Clear boundaries: it does not promise to bypass CNKI’s anti-scraping protections to download Chinese full texts, log in to a VPN on your behalf, or write the main body of your paper. Designed for graduate students, university faculty, and academic researchers who need to conduct systematic literature searches.
Related Skills
View allResearchSpark | 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.
Goofy Word Mnemonics
Enter an English word and get a comic-strip memory card: its pronunciation, meaning, and example sentence are all drawn into one continuous mini-scene using speech bubbles, signs, and sound effects. Outside the image, leave only one line of header information and one line of recall prompt. Impact matters more than polish; child-safe.
Find your next favorite skill
Explore more curated AI skills for research, creation, and everyday work.