# Research Publication

> Research Publication

- Skill: `majiayu000/research-publication-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/research-publication-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/research-publication-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/research-publication-2

---


/*============================================================================*/
/* SKILL SKILL :: VERILINGUA x VERIX EDITION                      */
/*============================================================================*/

---
name: SKILL
version: 1.0.0
description: |
  [assert|neutral] SKILL skill for research workflows [ground:given] [conf:0.95] [state:confirmed]
category: research
tags:
- general
author: system
cognitive_frame:
  primary: evidential
  goal_analysis:
    first_order: "Execute SKILL workflow"
    second_order: "Ensure quality and consistency"
    third_order: "Enable systematic research processes"
---

/*----------------------------------------------------------------------------*/
/* S0 META-IDENTITY                                                            */
/*----------------------------------------------------------------------------*/

[define|neutral] SKILL := {
  name: "SKILL",
  category: "research",
  version: "1.0.0",
  layer: L1
} [ground:given] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S1 COGNITIVE FRAME                                                          */
/*----------------------------------------------------------------------------*/

[define|neutral] COGNITIVE_FRAME := {
  frame: "Evidential",
  source: "Turkish",
  force: "How do you know?"
} [ground:cognitive-science] [conf:0.92] [state:confirmed]

## Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.

/*----------------------------------------------------------------------------*/
/* S2 TRIGGER CONDITIONS                                                       */
/*----------------------------------------------------------------------------*/

[define|neutral] TRIGGER_POSITIVE := {
  keywords: ["SKILL", "research", "workflow"],
  context: "user needs SKILL capability"
} [ground:given] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S3 CORE CONTENT                                                             */
/*----------------------------------------------------------------------------*/

name: research-publication
description: Academic publication preparation for Deep Research SOP Pipeline I including
  paper writing, reproducibility artifacts, and venue submission. Use when preparing
  research for publication after Gate 3 APPROVED, submitting to conferences (NeurIPS,
  ICML, CVPR), or creating ACM artifact submissions. Ensures reproducibility checklists
  complete, supplementary materials prepared, and all artifacts publicly accessible.
version: 1.0.0
category: research
tags:
- research
- analysis
- planning
author: ruv
---

# Research Publication

## Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.



Prepare research for academic publication with comprehensive reproducibility artifacts, ensuring compliance with venue requirements and ACM Artifact Evaluation standards.

## Overview

**Purpose**: Prepare and submit research for academic publication

**When to Use**:
- Quality Gate 3 APPROVED (production-ready model with artifacts)
- Submitting to academic venues (NeurIPS, ICML, CVPR, ACL, etc.)
- Creating ACM artifact submissions
- Publishing reproducibility artifacts
- Preparing supplementary materials

**Quality Gate**: Follows Gate 3 APPROVED status

**Prerequisites**:
- Research complete (Phases 1-3 of Deep Research SOP)
- Quality Gate 3 APPROVED
- Reproducibility package validated
- All artifacts archived and public

**Outputs**:
- Research paper draft (LaTeX)
- Reproducibility checklist (NeurIPS, ICML, etc.)
- Supplementary materials
- ACM artifact submission package
- Code release (GitHub with Zenodo DOI)
- Presentation slides

**Time Estimate**: 2-4 weeks
- Paper writing: 1-2 weeks
- Reproducibility checklist: 1-2 days
- Supplementary materials: 2-3 days
- Artifact submission: 2-3 days
- Revisions: 3-5 days

**Agents Used**: researcher, archivist

---

## Quick Start

### 1. Initialize Publication Project
```bash
# Create publication structure
mkdir -p publication/{paper,supplementary,code,slides}

# Initialize LaTeX project
cd publication/paper/
git init
cp ~/templates/neurips_2024.tex main.tex
```

### 2. Generate Paper Sections
```bash
# Auto-generate sections from research artifacts
python scripts/generate_paper_sections.py \
  --literature-review ../phase1-foundations/literature_review.md \
  --method-description ../phase2-development/method_card.md \
  --evaluation-results ../phase2-development/holistic_evaluation/report.md \
  --output paper/auto_generated/
```

### 3. Reproducibility Checklist
```bash
# Generate NeurIPS reproducibility checklist
python scripts/generate_reproducibility_checklist.py \
  --venue neurips \
  --artifacts ../phase3-production/ \
  --output paper/reproducibility_checklist.pdf
```

### 4. Supplementary Materials
```bash
# Package supplementary materials
python scripts/package_supplementary.py \
  --ablation-results ../phase2-development/ablations/ \
  --hyperparameters ../phase2-development/hparams/ \
  --additional-experiments ../phase2-development/experiments/ \
  --output supplementary/supplementary.pdf
```

### 5. Artifact Submission
```bash
# Prepare ACM artifact submission
python scripts/prepare_acm_artifact.py \
  --reproducibility-package ../phase3-production/reproducibility-package/ \
  --badge-level "Reproduced+Reusable" \
  --output publication/acm_artifact/
```

---

## Detailed Instructions

### Phase 1: Paper Writing (1-2 weeks)

**Objective**: Write comprehensive research paper

**Steps**:

#### 1.1 Paper Structure (Standard ML Conference)
```latex
% main.tex

\documentclass{article}
\usepackage{neurips_2024}

\title{Multi-Scale Attention for Improved Vision Transformers}

\author{
  Your Name \\
  Your Institution \\
  \texttt{email@institution.edu}
}

\begin{document}

\maketitle

\begin{abstract}
% 150-200 words summarizing:
% - Problem and motivation
% - Proposed method
% - Key results
% - Contributions
\end{abstract}

\section{Introduction}
% - Motivation (why is this problem important?)
% - Limitations of existing work

/*----------------------------------------------------------------------------*/
/* S4 SUCCESS CRITERIA                                                         */
/*----------------------------------------------------------------------------*/

[define|neutral] SUCCESS_CRITERIA := {
  primary: "Skill execution completes successfully",
  quality: "Output meets quality thresholds",
  verification: "Results validated against requirements"
} [ground:given] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S5 MCP INTEGRATION                                                          */
/*----------------------------------------------------------------------------*/

[define|neutral] MCP_INTEGRATION := {
  memory_mcp: "Store execution results and patterns",
  tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"]
} [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S6 MEMORY NAMESPACE                                                         */
/*----------------------------------------------------------------------------*/

[define|neutral] MEMORY_NAMESPACE := {
  pattern: "skills/research/SKILL/{project}/{timestamp}",
  store: ["executions", "decisions", "patterns"],
  retrieve: ["similar_tasks", "proven_patterns"]
} [ground:system-policy] [conf:1.0] [state:confirmed]

[define|neutral] MEMORY_TAGGING := {
  WHO: "SKILL-{session_id}",
  WHEN: "ISO8601_timestamp",
  PROJECT: "{project_name}",
  WHY: "skill-execution"
} [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S7 SKILL COMPLETION VERIFICATION                                            */
/*----------------------------------------------------------------------------*/

[direct|emphatic] COMPLETION_CHECKLIST := {
  agent_spawning: "Spawn agents via Task()",
  registry_validation: "Use registry agents only",
  todowrite_called: "Track progress with TodoWrite",
  work_delegation: "Delegate to specialized agents"
} [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S8 ABSOLUTE RULES                                                           */
/*----------------------------------------------------------------------------*/

[direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* PROMISE                                                                     */
/*----------------------------------------------------------------------------*/

[commit|confident] <promise>SKILL_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]