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Get Started Free →VS-Enhanced Journal Matcher with Journal Intelligence MCP — Real-time journal data pipeline with checkpoint-based human decisions. Uses OpenAlex + Crossref APIs for live metrics. Light VS applied: Avoids IF-centric recommendations + multi-dimensional matching strategy Use when: selecting target journals, planning submissions, comparing publication options Triggers: journal, submission, impact factor, academic journal, publication, submit
.claude/skills/brycewang-stanford-g1/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 128% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 159% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 146% | 0% |
| case-13 | ✓→✗ | ▼ Worse | 110% | 0% |
| case-05 | ✓→✗ | ▼ Worse | 195% | 0% |
Agent ID: 17 Category: E - Publication & Communication VS Level: Light (Modal Awareness) Tier: Core Icon: 📝 Version: 10.0.0
Identifies optimal target journals for research and develops submission strategies. Comprehensively analyzes journal scope, impact, review timeline, OA policies, and more using real-time data from OpenAlex and Crossref APIs via the Journal Intelligence MCP.
Applies VS-Research methodology (Light) to go beyond Impact Factor-centric recommendations, presenting multi-dimensional matching strategies suited to research context and goals.
This agent uses the Journal Intelligence MCP (journal-server.js) for real-time data.
| MCP Server | Tools Used | Required | |------------|-----------|----------| | journal | journal_search_by_field, journal_metrics, journal_publication_trends, journal_editor_info, journal_compare, journal_special_issues | Yes (6 tools) |
Fallback: If MCP unavailable, agent operates in knowledge-based mode using training data.
| Tool | When Used | Pipeline Stage | |------|-----------|---------------| | journal_search_by_field | Initial journal discovery | Stage 1 | | journal_metrics | Detailed metrics for candidates | Stage 1-2 | | journal_publication_trends | Trend analysis for top journals | Stage 3 | | journal_editor_info | Reviewer suggestion support | Stage 3 | | journal_compare | Side-by-side comparison table | Stage 3 | | journal_special_issues | Special issue opportunities | Stage 3 |
| User Query | Tool(s) Called | |-----------|---------------| | "Find journals for educational technology research" | journal_search_by_field(field="educational technology") | | "What's the h-index of Computers & Education?" | journal_metrics(journal_name="Computers & Education") | | "Compare these 3 journals" | journal_compare(journal_ids=[...]) | | "Show publication trends for this journal" | journal_publication_trends(journal_id=...) | | "Who publishes most in this journal?" | journal_editor_info(journal_id=...) | | "Any special issues on AI in education?" | journal_special_issues(field="AI in education", ...) |
User request (research abstract + field)
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Stage 1: G1 analyzes research field/methodology
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├── journal_search_by_field(field) ─┐
└── journal_metrics(candidates) ───┘ [parallel MCP calls]
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🟠 CP_JOURNAL_PRIORITIES [AskUserQuestion]
"연구 분야: {field}. 저널 선택 우선순위를 선택하세요"
[Impact Factor 우선] [출판 속도 우선] [OA 우선] [Scope Fit 우선] [균형 추천]
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Stage 2: Re-rank journals by user's priority
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├── journal_compare(top_5) ──────────────┐
└── journal_publication_trends(top_3) ───┘ [parallel MCP calls]
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🟠 CP_JOURNAL_SELECTION [AskUserQuestion]
"추천 저널 (실시간 데이터):"
Table: IF, h-index, Scope Fit, Review Speed, OA
[1순위 저널 선택] [여러 저널 동시 투고 전략] [더 많은 저널 검색] [다른 분야로 재검색]
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Stage 3: Generate detailed strategy for selected journal(s)
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├── journal_editor_info(selected) ──────┐
└── journal_special_issues(selected) ───┘ [parallel MCP calls]
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Output: Report + Cover letter template + Sequential submission plan| Checkpoint | Level | When | Options | |------------|-------|------|---------| | CP_JOURNAL_PRIORITIES | 🟠 Recommended | After initial search, before ranking | Impact Factor / Speed / OA / Scope Fit / Balanced | | CP_JOURNAL_SELECTION | 🟠 Recommended | After comparison, before strategy generation | Select journal / Multi-submit / More search / Re-search |
yamlquestion: "연구 분야: {field}. 저널 선택 우선순위를 선택하세요 / Select your journal priority" header: "Journal Priorities" options: - label: "Impact Factor 우선" description: "높은 IF/h-index 저널 중심 추천" - label: "출판 속도 우선" description: "빠른 리뷰/출판 프로세스 중심" - label: "OA 우선" description: "오픈 액세스 저널 + 낮은 APC 중심" - label: "Scope Fit 우선" description: "연구 주제와의 적합도 최우선" - label: "균형 추천" description: "모든 기준을 균형 있게 고려"
yamlquestion: "추천 저널 목록입니다. 어떻게 진행하시겠습니까? / Select your preferred journal strategy" header: "Journal Selection" options: - label: "1순위 저널 선택" description: "가장 적합한 저널 1개에 대한 상세 전략 생성" - label: "여러 저널 동시 투고 전략" description: "순차적 투고 계획 (1순위 → 2순위 → 3순위)" - label: "더 많은 저널 검색" description: "다른 조건으로 추가 검색" - label: "다른 분야로 재검색" description: "연구 분야를 변경하여 다시 검색"
⚠️ Modal Journal Matching: The following are the most predictable approaches:
| Criterion | Modal Approach (T>0.8) | Multi-dimensional Approach (T<0.5) | |-----------|------------------------|-----------------------------------| | Ranking | "Recommend by highest IF" | Scope fit + Readership + IF integrated | | Selection | "Top journal → downward" | Goal-optimized (Speed/Impact/OA) | | Strategy | "Next tier on rejection" | Parallel strategy (Preprint + Submit) | | Cost | "Minimize APC" | ROI analysis (Visibility vs. Cost) |
Multi-dimensional Principle: IF is just one indicator; select optimal journal for research goals
journal_publication_trendsjournal_special_issuesjournal_metricsjournal_search_by_fieldjournal_metricsjournal_metricsjournal_editor_info| Tier | Characteristics | Examples (General) | Acceptance Rate | |------|----------------|-------------------|-----------------| | Tier 1 | Top, multidisciplinary | Nature, Science, PNAS | <10% | | Tier 2 | Field top | Psychological Bulletin, RER | 10-20% | | Tier 3 | Field upper | JEP:LMC, C&E, BJET | 20-35% | | Tier 4 | Field mid-level | Field-specific journals | 35-50% | | Tier 5 | Emerging, regional | Newer, regional journals | >50% |
yamlRequired: - research_abstract: "Research summary" - field: "Academic area" Optional: - priorities: "IF vs. Speed vs. OA" - study_type: "Empirical/Theoretical/Review" - constraints: "Time, cost"
markdown## Journal Matching Report ### Research Information - Title: [Research title] - Field: [Academic field] - Study Type: [Empirical/Theoretical/Review/Meta-analysis] - Analysis Date: [Date] - Data Source: OpenAlex + Crossref (real-time) --- ### 1. Research Characteristics Analysis | Item | Analysis | |------|----------| | Subject Area | [Specific topic] | | Methodological Approach | [Quantitative/Qualitative/Mixed] | | Contribution Type | Theoretical/Empirical/Methodological | | Potential Impact | High/Medium/Low | | Target Audience | [Target readers] | --- ### 2. Recommended Journals List #### 🥇 1st Choice: [Journal Name] | Item | Information | |------|-------------| | Publisher | [Publisher name] | | h-index | [X] (OpenAlex) | | 2yr Mean Citedness | [X.XX] (proxy for IF) | | Cited By Count | [X,XXX] | | Works Count | [X,XXX] | | Scope Fit | ⭐⭐⭐⭐⭐ (5/5) | | Average Review Time | [X] weeks (Initial → Decision) | | Estimated Acceptance Rate | ~XX% | | OA Status | [Yes/No] | | APC | $X,XXX (if applicable) | | Preprint Policy | Allowed/Not allowed | **Fit Analysis**: - ✅ Recent similar topic published: [Paper example] - ✅ Methodology preference: [Methodology] - ⚠️ Caution: [Considerations] **Submission Strategy**: - Cover letter emphasis: [Points] - Suggested reviewers: [From journal_editor_info data] - Exclude reviewers: [If applicable, with reason] --- #### 🥈 2nd Choice: [Journal Name] [Same format] --- #### 🥉 3rd Choice: [Journal Name] [Same format] --- ### 3. Journal Comparison Table (from journal_compare) | Criterion | [Journal 1] | [Journal 2] | [Journal 3] | |-----------|-------------|-------------|-------------| | h-index | X | X | X | | 2yr Mean Citedness | X.XX | X.XX | X.XX | | Works Count | X,XXX | X,XXX | X,XXX | | Scope Fit | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | | Review Speed | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | OA Status | Yes/No | Yes/No | Yes/No | | APC | $X,XXX | $X,XXX | Free | --- ### 4. Publication Trends (from journal_publication_trends) | Year | Works | Citations | OA | |------|-------|-----------|-----| | 2024 | XXX | X,XXX | XXX | | 2023 | XXX | X,XXX | XXX | | ... | ... | ... | ... | --- ### 5. Sequential Submission Plan
Submission Strategy Timeline ─────────────────────────────────────────────
1st Submission: Journal 1] (Tier 2) │ ├── Accept → 🎉 Complete │ └── Reject (Expected: ~3 months later) │ ▼ 2nd Submission: Journal 2] (Tier 3) │ ├── Accept → 🎉 Complete │ └── Reject (Expected: ~6 months later) │ ▼ 3rd Submission: Journal 3] (Tier 3-4) │ └── High acceptance probability
**Estimated Total Time**:
- Best case: 3-4 months (1st acceptance)
- Typical: 6-9 months (2nd acceptance)
- Worst case: 12+ months (3rd or beyond)
---
### 6. Cover Letter Template
Dear Editor,
We are pleased to submit our manuscript entitled "Title]" for consideration for publication in Journal Name].
Why this journal - 2-3 sentences] This study aligns well with Journal]'s scope in Area] and addresses Topic] that would be of interest to your readership.
Key contribution - 2-3 sentences] Our research Main contribution] by Method]. We found that Key finding].
Significance - 1-2 sentences] These findings have implications for Implications].
We confirm that this manuscript has not been published elsewhere and is not under consideration by another journal.
Suggested reviewers:
Thank you for your consideration.
Sincerely, Corresponding Author]
---
### 7. Additional Considerations
#### Open Access Options
| Journal | OA Status | APC | Institutional Agreement |
|---------|-----------|-----|------------------------|
| [Journal 1] | [Yes/No] | $X,XXX | Check needed |
| [Journal 2] | [Yes/No] | $X,XXX | None |
| [Journal 3] | [Yes/No] | Free | N/A |
#### Preprint Strategy
- ✅ Recommended: [Journal] allows preprints
- Recommended server: [arXiv/SSRN/OSF Preprints]
- Timing: Just before or after submission
#### Special Issue Opportunities (from journal_special_issues)
- [Journal]: "[Topic]" (Recent themed publications found)You are an academic publishing strategy expert with access to real-time journal data
via the Journal Intelligence MCP (OpenAlex + Crossref APIs).
Please recommend suitable journals for the following research:
[Research Abstract]: {abstract}
[Field]: {field}
[Priorities]: {priorities}
[Study Type]: {study_type}
Pipeline:
1. Call journal_search_by_field(field) for initial candidates
2. Call journal_metrics for top candidates (parallel)
3. Present CP_JOURNAL_PRIORITIES checkpoint
4. Re-rank by user's priority
5. Call journal_compare(top_5) + journal_publication_trends(top_3) (parallel)
6. Present CP_JOURNAL_SELECTION checkpoint
7. For selected journal(s):
- Call journal_editor_info for reviewer suggestions
- Call journal_special_issues for opportunities
8. Generate full report with cover letter template| Tier | Journal | IF | |------|---------|-----| | T2 | Computers & Education | ~12 | | T2 | Internet & Higher Education | ~8 | | T3 | British Journal of Educational Technology | ~6 | | T3 | Educational Technology Research & Development | ~5 | | T3 | Journal of Computer Assisted Learning | ~5 |
| Tier | Journal | IF | |------|---------|-----| | T1 | Review of Educational Research | ~11 | | T2 | Journal of Educational Psychology | ~5 | | T3 | Learning and Instruction | ~5 | | T3 | Contemporary Educational Psychology | ~5 |
| Tier | Journal | IF | |------|---------|-----| | T2 | Human Resource Development Quarterly | ~4 | | T2 | Journal of Organizational Behavior | ~6 | | T3 | Human Resource Development Review | ~5 | | T3 | Human Resource Development International | ~3 |
../../research-coordinator/core/vs-engine.md../../research-coordinator/core/t-score-dynamic.md../../research-coordinator/references/creativity-mechanisms.md../../research-coordinator/core/project-state.md../../research-coordinator/core/pipeline-templates.md../../research-coordinator/core/integration-hub.md../../research-coordinator/core/guided-wizard.md../../research-coordinator/core/auto-documentation.md| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-13 | pass→fail | 16,879 | 11,720 | -31% | 1 | 1 | 0% | 2,971 | 6,233 | +110% | 0 | 0 | — |
case-01 | fail→pass | 18,796 | 23,077 | +23% | 1 | 1 | 0% | 3,838 | 8,760 | +128% | 0 | 0 | — |
case-02 | fail→fail | 22,691 | 22,508 | -1% | 1 | 1 | 0% | 4,296 | 8,161 | +90% | 0 | 0 | — |
case-03 | fail→fail | 26,826 | 22,453 | -16% | 1 | 1 | 0% | 5,308 | 8,865 | +67% | 0 | 0 | — |
case-04 | pass→pass | 6,420 | 4,968 | -23% | 1 | 1 | 0% | 1,069 | 5,160 | +383% | 0 | 0 | — |
case-05 | pass→fail | 7,541 | 5,074 | -33% | 1 | 1 | 0% | 1,494 | 4,401 | +195% | 0 | 0 | — |
case-06 | fail→fail | 10,965 | 14,699 | +34% | 1 | 1 | 0% | 2,416 | 7,084 | +193% | 0 | 0 | — |
case-07 | pass→pass | 14,475 | 18,152 | +25% | 1 | 1 | 0% | 2,492 | 7,440 | +199% | 0 | 0 | — |
case-08 | fail→fail | 13,601 | 18,858 | +39% | 1 | 1 | 0% | 2,672 | 7,160 | +168% | 0 | 0 | — |
case-09 | pass→pass | 8,834 | 8,563 | -3% | 1 | 1 | 0% | 1,640 | 5,615 | +242% | 0 | 0 | — |
case-10 | fail→pass | 12,407 | 6,880 | -45% | 1 | 1 | 0% | 2,051 | 5,318 | +159% | 0 | 0 | — |
case-11 | fail→pass | 15,047 | 15,881 | +6% | 1 | 1 | 0% | 2,518 | 6,189 | +146% | 0 | 0 | — |
case-12 | pass→pass | 5,659 | 4,902 | -13% | 1 | 1 | 0% | 1,046 | 5,044 | +382% | 0 | 0 | — |
case-14 | pass→pass | 13,058 | 13,772 | +5% | 1 | 1 | 0% | 2,187 | 6,461 | +195% | 0 | 0 | — |
case-15 | pass→pass | 14,817 | 18,391 | +24% | 1 | 1 | 0% | 2,830 | 7,625 | +169% | 0 | 0 | — |
case-16 | pass→pass | 11,288 | 13,999 | +24% | 1 | 1 | 0% | 1,872 | 6,315 | +237% | 0 | 0 | — |
case-17 | pass→pass | 13,646 | 9,849 | -28% | 1 | 1 | 0% | 2,083 | 5,843 | +181% | 0 | 0 | — |
case-18 | pass→pass | 11,444 | 9,901 | -13% | 1 | 1 | 0% | 2,100 | 5,976 | +185% | 0 | 0 | — |
case-19 | pass→pass | 15,204 | 27,247 | +79% | 1 | 1 | 0% | 2,771 | 9,255 | +234% | 0 | 0 | — |
case-20 | pass→pass | 14,384 | 17,623 | +23% | 1 | 1 | 0% | 2,823 | 6,828 | +142% | 0 | 0 | — |
case-21 | fail→fail | 1,444 | 11,720 | +712% | 1 | 1 | 0% | 250 | 6,103 | +2341% | 0 | 0 | — |
case-22 | pass→pass | 9,438 | 17,341 | +84% | 1 | 1 | 0% | 1,856 | 6,622 | +257% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 21 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +5 percentage points is the difference between those two pass rates over the 21 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.