Publication Strategist v3.0
Journal strategy, evidence audit, review prep
Description
Why we love this skill
This skill uses a three-core engine to simulate the review process, offering journal strategy, evidence audit, review rehearsal, and submission support to help plan your publication path and boost success rate.
An advanced submission strategy system designed for core journals and SCI/SSCI. Building on the J-AFP five-dimensional quantitative diagnosis and paragraph-level refinement from v2.0, it adds a journal selection strategy matrix (with three tiers: stretch, target, and safe journals, plus a gradient submission route), introduces a three-core engine (Critic the reviewer butcher, Mentor the polishing artisan, and Editor the editor's eye) along with a citation-method chain evidence audit (citation verification, literature gap identification, and discipline-specific method deep review), and extends to full-cycle peer review pre-play (multi-persona reviewer attack-defense simulation and point-by-point Response Letter) and a bilingual publishable version. It covers the complete publication closed loop of 'journal selection—diagnosis—audit—restructuring—pre-play—delivery'.
Related Skills
View all
Journal Pre-review Expert V7.0
Top Journal Submission Pre-review Expert V7.0 is a full-process pre-review Skill for social sciences and humanities scholars. It simulates the perspective of senior reviewers at Nature/Science/ASR/AJS-level journals, driven by a dual-core engine (Reviewer Butcher + Polishing Craftsman) across six phases. V7.0 core upgrades: · Governance layer: unified dashboard + step mode (default/fast-forward/slow-motion) + ratchet version management + mid-join logic · All 15 quick commands implemented (/express /jump /benchmark /ethics-scan /cover-letter /polish /abstract /checklist /audit /resume /skip /rerun /export /persona /lang) · Cross-phase vulnerability tracking table: tracks from Phase 2 to Phase 5 with status closure · 6 virtual reviewer personas (methodology hawk, theoretical purist, contextualist, ethics reviewer, etc.), each with 4-5 typical criticisms, automatically activating 3-4 based on research type · Full language pair support: Chinese→English, English→English, Chinese→Chinese, with Chinglish terminator engine covering 7 categories of high-frequency errors · Benchmark paper five-dimensional comparison + no-benchmark degradation path · New AI usage transparency check and citation quality deep audit Applicable scenarios: PhD students/early-career faculty pre-submission self-check, advisors guiding students to revise manuscripts, research group submission strategy discussions. Supports full-process guidance for Chinese native speakers submitting in English.
ResearchJournal Review Dual-Core
The Uni-AFP Scholar Architect is a highly engineered academic writing assistant system designed to bridge the gap between self-indulgent writing and the review logic of top-tier journals. At its core is a dynamic Journal-AFP (J-AFP) assessment, with two collaborative engines: Critic, which simulates rigorous peer review to precisely identify pseudo-issues, logical gaps, and methodological flaws, applying dimensional reduction logical pressure and rejection risk interception; and Mentor, acting as a seasoned editor, responsible for table of contents restructuring, de-AI-ed academic context refinement, and paragraph-level control. Driven by this dual-core synergy, the system deeply repairs structural weaknesses in manuscripts, providing a solid theoretical foundation and rigorous deductive logic, helping authors overcome the academic publication gap and efficiently produce standardized high-quality works that align with target journal preferences.
Journal Submission Refinement Architect v2.0 (Advanced Version)
A dynamic, adaptable review, restructuring, and step-by-step revision system for any target academic journal. It accurately diagnoses manuscript publication suitability using a J-AFP five-dimensional quantitative scoring system (intent alignment, theoretical contribution, methodological standardization, result conversion, and format compliance). Employing a dual-core engine (Critic + Mentor) model, it helps authors bridge the gap between "self-indulgent writing" and "standardized works conforming to review logic." It supports a fully engineered workflow, from journal profiling and title reshaping to logical pressure application, table of contents finalization, and step-by-step revision.
Publication Strategist v3.0
Journal strategy, evidence audit, review prep
Description
Why we love this skill
This skill uses a three-core engine to simulate the review process, offering journal strategy, evidence audit, review rehearsal, and submission support to help plan your publication path and boost success rate.
An advanced submission strategy system designed for core journals and SCI/SSCI. Building on the J-AFP five-dimensional quantitative diagnosis and paragraph-level refinement from v2.0, it adds a journal selection strategy matrix (with three tiers: stretch, target, and safe journals, plus a gradient submission route), introduces a three-core engine (Critic the reviewer butcher, Mentor the polishing artisan, and Editor the editor's eye) along with a citation-method chain evidence audit (citation verification, literature gap identification, and discipline-specific method deep review), and extends to full-cycle peer review pre-play (multi-persona reviewer attack-defense simulation and point-by-point Response Letter) and a bilingual publishable version. It covers the complete publication closed loop of 'journal selection—diagnosis—audit—restructuring—pre-play—delivery'.
Related Skills
View allJournal Pre-review Expert V7.0
Top Journal Submission Pre-review Expert V7.0 is a full-process pre-review Skill for social sciences and humanities scholars. It simulates the perspective of senior reviewers at Nature/Science/ASR/AJS-level journals, driven by a dual-core engine (Reviewer Butcher + Polishing Craftsman) across six phases. V7.0 core upgrades: · Governance layer: unified dashboard + step mode (default/fast-forward/slow-motion) + ratchet version management + mid-join logic · All 15 quick commands implemented (/express /jump /benchmark /ethics-scan /cover-letter /polish /abstract /checklist /audit /resume /skip /rerun /export /persona /lang) · Cross-phase vulnerability tracking table: tracks from Phase 2 to Phase 5 with status closure · 6 virtual reviewer personas (methodology hawk, theoretical purist, contextualist, ethics reviewer, etc.), each with 4-5 typical criticisms, automatically activating 3-4 based on research type · Full language pair support: Chinese→English, English→English, Chinese→Chinese, with Chinglish terminator engine covering 7 categories of high-frequency errors · Benchmark paper five-dimensional comparison + no-benchmark degradation path · New AI usage transparency check and citation quality deep audit Applicable scenarios: PhD students/early-career faculty pre-submission self-check, advisors guiding students to revise manuscripts, research group submission strategy discussions. Supports full-process guidance for Chinese native speakers submitting in English.
ResearchJournal Review Dual-Core
The Uni-AFP Scholar Architect is a highly engineered academic writing assistant system designed to bridge the gap between self-indulgent writing and the review logic of top-tier journals. At its core is a dynamic Journal-AFP (J-AFP) assessment, with two collaborative engines: Critic, which simulates rigorous peer review to precisely identify pseudo-issues, logical gaps, and methodological flaws, applying dimensional reduction logical pressure and rejection risk interception; and Mentor, acting as a seasoned editor, responsible for table of contents restructuring, de-AI-ed academic context refinement, and paragraph-level control. Driven by this dual-core synergy, the system deeply repairs structural weaknesses in manuscripts, providing a solid theoretical foundation and rigorous deductive logic, helping authors overcome the academic publication gap and efficiently produce standardized high-quality works that align with target journal preferences.
Journal Submission Refinement Architect v2.0 (Advanced Version)
A dynamic, adaptable review, restructuring, and step-by-step revision system for any target academic journal. It accurately diagnoses manuscript publication suitability using a J-AFP five-dimensional quantitative scoring system (intent alignment, theoretical contribution, methodological standardization, result conversion, and format compliance). Employing a dual-core engine (Critic + Mentor) model, it helps authors bridge the gap between "self-indulgent writing" and "standardized works conforming to review logic." It supports a fully engineered workflow, from journal profiling and title reshaping to logical pressure application, table of contents finalization, and step-by-step revision.
Find your next favorite skill
Explore more curated AI skills for research, creation, and everyday work.