This article provides a comprehensive introduction and functional overview of the Multi-Perspective News Intelligence (Skills Edition) design, including its Skills Documentation Page link and the Google Drive folder details at the end of the text where anyone can directly download and use the “SKILL.md” file on their own system.
Author: Aydın Tiryaki
In today’s fast-moving digital media landscape, reading a news story through the lens of a single outlet makes it nearly impossible to grasp the full picture and often traps readers inside algorithmic echo chambers. Multi-Perspective News Intelligence (Skills Edition) is an advanced digital media intelligence assistant designed to counter manipulation and information asymmetry by analyzing news events through the calm, skeptical, and decoding-oriented persona of an “Experienced Media Analyst.”
System Identity and Technical Architecture Product Version: v1.26 Gem Repository Number: gdn017 (GemStat: 2 – Completed) Character Distribution: Title: 35 | Description: 992 | Instructions: 13836 | Total: 14863 characters 📄Skills Documentation Page: https://aydintiryaki.org/2026/06/19/gdn017/
Six-Perspective Media Scanning and Reading Profiles Multi-Perspective News Intelligence initiates every new session with the question “Which news story shall we research?”, while utilizing smart data awareness to skip this prompt automatically if the user has already provided a news topic or URL in their opening message. Users then choose from three tailored reading profiles:
- Quick Summary (⚡): Designed for rapid situational awareness and a concise overview of how different camps frame the story.
- Detailed Reading (🔎): Built for a thorough examination of background context, source distribution, and comparative framing.
- Deep Analysis (🕵️♂️): Full-spectrum intelligence mode activating all advanced media literacy, fact-checking, and discourse-decoding instruments.
Following the profile selection, the user selects which of the six media perspectives to examine: Opposition news sources (Mode1), Neutral and centrist media (Mode2), Pro-government news sources (Mode3), Ambiguous/hybrid-line sources (Mode4), International news agencies (Mode5), and Location-based Local Media (Mode6). For spatial or location-specific queries, Local Media is automatically prioritized at the top of the menu, with each local outlet’s city, district, or county clearly indicated in parentheses. Before generating the final report, the system transparently lists the candidate sources and asks whether the user wishes to exclude any of them.
Advanced Analytical Instruments and Manipulation Decoding What sets this Skills design apart from conventional news aggregators is its suite of eleven specialized analytical tools embedded within a digital newspaper “News Page” layout:
- Headline War: Side-by-side comparison table contrasting how up to three different media camps headline the exact same event.
- Emotion Thermometer: Measures the emotional charge (anger, hope, fear, composure) across the language of the coverage.
- Social Media Echo Chamber: Summarizes public reactions and discourse patterns across X, Reddit, Quora, and major global and regional community forums.
- Invisible Data Detector: Performs blackout and omission analysis to reveal what sources intentionally leave unsaid.
- Follow-Up Bot and Argument Scoring: Projects probable future trajectories of the story and scores the evidentiary quality of sources from 1 to 10.
- Fact-Check Radar and Deepfake Scan: Cross-references claims against open-source data from independent fact-checking organizations (such as IFCN signatories, Reuters Fact Check, AP Fact Check, Snopes, and Full Fact), scores disinformation risk, and screens multimedia for synthetic AI or deepfake manipulation.
- Visual Perception War and Clickbait Detector: Decodes the psychological impact of photo selection (lighting, facial expressions, framing) across rival media camps and scores headline-to-body consistency from 1 to 10 to warn readers against clickbait.
- Discourse Shift Analysis and Between-the-Lines Steering Detection Bot: Tracks emotional or political tone shifts between initial publication and subsequent updates, and quantifies unattributed or passive steering phrases to compute a transparency index.
Timeline, Historical Recurrence, Open Links, and Visual/Video Production Menu The system anchors complex events with a chronological Timeline of critical turning points, pairs current developments with Historical Recurrence precedents, and offers an interactive contextual glossary via the “Index” command. Every news source, encyclopedia reference (Wikipedia, Britannica, and public archives), and video/playlist link across YouTube, Vimeo, and Dailymotion is delivered as a direct, unbroken target URL without search-engine redirects. At the conclusion of each analysis, the user is invited to answer a threshold media-literacy question and can generate visuals or videos via a 9-option menu (With Text infographic panels, Text-Free photorealistic venue/studio depictions, or Video across vertical, horizontal, and square aspect ratios). Developed in Türkiye as part of the ATG Skills ecosystem, this tool empowers readers worldwide to navigate news with analytical clarity.
Google Drive Folder Link and SKILL.md File You can go to the folder below to download and directly use the SKILL.md file from this folder. If you cannot access this folder or file, it means the link is temporarily suspended because the development of the relevant Skills is currently in progress; please try again later.
📁 Google Drive Folder Path (EN): https://drive.google.com/drive/folders/19iF9egIyThkiHFC6Rmh32Y52rJAeX8BC?usp=sharing
Note: You can make your own developments and edits on the SKILL.md file you obtain from here. However, out of respect for the effort, we kindly ask you to keep the Skills creator and editor information included here.
The architecture of the Multi-Perspective News Intelligence (Skills Edition) v1.26 design introduced in this article, along with all content, analytical approaches, and perspectives expressed herein, belongs to Aydın Tiryaki; editorial assistance and writing support were provided by the active artificial intelligence model Gemini 2.5 Pro (Extended thinking level), and this publication package was produced on 29.10.2026 21:29.
| aydintiryaki.org | YouTube | Aydın Tiryaki’nin Yazıları ve Videoları │Articles and Videos by Aydın Tiryaki | Bilgi Merkezi│Knowledge Hub | ░ Virgülüne Dokunmadan │ Verbatim ░ | ░ Çok Bakış Açılı Haber Dağarcığı │Multi-Perspective News Intelligence (Gemini Skills) ░ 31.10.2026
