Agent skill

research-publication

View SKILL.md on GitHub Repository
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Forks 6

Install this agent skill to your Project

npx add-skill https://github.com/DNYoussef/context-cascade/tree/main/skills/research/research-publication

SKILL.md

/============================================================================/ /* 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]

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