Scholar Publish

SkillDocs & knowledge

Post-acceptance conference preparation workflow covering presentation slides, academic posters, and promotion content. Triggers on "scholar publish", "conference preparation", "prepare presentation", "create poster", "write promotion", "post-acceptance".

Use Scholar Publish in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Scholar Publish and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Scholar Publish skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Scholar PublishStart free

What this skill tells your AI

The instructions your AI receives, as published by catlog22/maestro-flow in optional/skills/scholar-publish/SKILL.md and read by Ahel’s review.

Post-acceptance conference preparation workflow that helps researchers create presentation materials, academic posters, and promotional content for accepted papers.

Pre-load (before execution)

  1. Codebase docs: If .workflow/codebase/ARCHITECTURE.md exists, read for project context
  2. Specs: maestro load --type spec --category coding — load coding conventions
  3. Wiki knowledge: maestro search "academic writing research paper" --json — top 5 entries as prior context
  4. All optional — proceed without if unavailable

Architecture Overview

┌──────────────────────────────────────────────────────────────┐
│  /scholar-publish                                              │
│  Orchestrator: Preference Collection + Selective Phase Dispatch │
└──────────────────────┬───────────────────────────────────────┘
                       │
         ┌─────────────┼─────────────┐
         ↓             ↓             ↓
   ┌───────────┐ ┌───────────┐ ┌───────────┐
   │  Phase 1  │ │  Phase 2  │ │  Phase 3  │
   │ Presenta- │ │  Poster   │ │ Promotion │
   │   tion    │ │  Design   │ │  Content  │
   └─────┬─────┘ └─────┬─────┘ └─────┬─────┘
         ↓             ↓             ↓
   presentation-  poster-       promotion-
   outline.md     outline.md    content.md

Data Flow:

User Input: accepted paper + preferences (outputs, duration, poster size)
  → Phase 1 (presentation): paper → slide outline + timing plan + Q&A prep
  → Phase 2 (poster): paper → poster layout + design specs + QR code plan
  → Phase 3 (promotion): paper → Twitter thread + LinkedIn post + blog draft
Each phase runs independently based on user selection.

Key Design Principles

  1. Selective Execution: User chooses which outputs to generate - phases run independently
  2. Paper-Driven Content: All outputs derive from the accepted paper's key messages
  3. Practical Guidelines: Concrete specifications (font sizes, timing, layout dimensions)
  4. Platform-Aware: Each promotion channel has its own tone, format, and best practices

Interactive Preference Collection

Collect workflow preferences via AskUserQuestion before dispatching to phases:

Step 1: Identify paper context
  Ask: "Please provide the accepted paper (file path, summary, or key details):
        - Paper title
        - Conference/venue name
        - Key contributions (2-3 bullet points)
        - Co-authors (for tagging in promotion)"

Step 2: Select outputs to generate
  AskUserQuestion:
    question: "Which outputs would you like to generate?"
    options:
      - "Presentation slides outline" → enablePresentation = true
      - "Academic poster design" → enablePoster = true
      - "Promotion content (Twitter/LinkedIn/blog)" → enablePromotion = true
      - "All of the above" → enableAll = true

Step 3: Conditional preferences (based on selection)
  IF enablePresentation:
    Ask: "Talk duration?" options: ["15 minutes", "20 minutes", "30 minutes", "Other"]
  IF enablePoster:
    Ask: "Poster format?" options: ["Portrait (24x36in / A0)", "Landscape (36x24in / A0)", "Check with conference"]
  IF enablePromotion:
    Ask: "Which platforms?" options: ["Twitter/X thread", "LinkedIn post", "Blog post", "All platforms"]

Preference Variables (passed to phases):

  • paperContext: title, venue, contributions, authors
  • enablePresentation, enablePoster, enablePromotion
  • talkDuration: 15 | 20 | 30 (minutes)
  • posterFormat: portrait | landscape
  • promotionPlatforms: twitter | linkedin | blog | all

Execution Flow

COMPACT DIRECTIVE: Context compression MUST check TodoWrite phase status. The phase currently marked in_progress is the active execution phase - preserve its FULL content. Only compress phases marked completed or pending.

Phase 0: Input Processing & Preference Collection

Parse user input and collect preferences (described above). Convert free-text paper description to structured format:

PAPER_TITLE: [title]
VENUE: [conference/journal name]
CONTRIBUTIONS: [key points]
AUTHORS: [author list]

Then dispatch to selected phases.


Phase 1: Presentation Slide Creation (if enablePresentation)

Ref: phases/01-presentation.md

Create a structured presentation outline with slide-by-slide content, timing plan, visual design guidance, and Q&A preparation.

Output: presentation-outline.md


Phase 2: Academic Poster Design (if enablePoster)

Ref: phases/02-poster.md

Design a poster layout with section placement, typography specs, visual hierarchy, and print-ready guidelines.

Output: poster-outline.md


Phase 3: Promotion Content Creation (if enablePromotion)

Ref: phases/03-promotion.md

Generate platform-specific promotion content: Twitter/X thread, LinkedIn post, and blog draft.

Output: promotion-content.md


Phase Reference Documents (read on-demand when phase executes):

PhaseDocumentPurposeCompact
1phases/01-presentation.mdSlide outline creationTodoWrite driven
2phases/02-poster.mdPoster layout designTodoWrite driven
3phases/03-promotion.mdMulti-platform promotionTodoWrite driven

Compact Rules:

  1. TodoWrite in_progress -> preserve full content, do not compress
  2. TodoWrite completed -> can compress to summary
  3. Phases are independent - only load the phase being executed

Core Rules

  1. Paper first: Read and understand the paper before generating any content
  2. One key message per slide: Never overload a single slide with multiple ideas
  3. Audience-appropriate: Adjust technical depth for the target venue
  4. Visual over text: Prefer figures, diagrams, and bullet points over paragraphs
  5. Platform conventions: Each social platform has distinct formatting expectations
  6. Conference compliance: Check specific venue requirements for poster size, talk duration

Data Flow

paperContext (from user input)
  │
  ├─→ Phase 1: paperContext + talkDuration → presentation-outline.md
  │     └─ slide count, timing, structure, visual design, Q&A prep
  │
  ├─→ Phase 2: paperContext + posterFormat → poster-outline.md
  │     └─ layout, typography, sections, QR code, print specs
  │
  └─→ Phase 3: paperContext + promotionPlatforms → promotion-content.md
        └─ Twitter thread, LinkedIn post, blog draft

TodoWrite Pattern

Phase starts:
  → Sub-tasks ATTACHED to TodoWrite (in_progress + pending)
  → Execute sub-tasks sequentially within the phase

Phase ends:
  → Sub-tasks COLLAPSED to completed summary
  → Next selected phase begins (or workflow completes)

Example TodoWrite lifecycle:

[in_progress] Generate presentation outline
  [in_progress] Extract key messages from paper
  [pending] Create slide structure
  [pending] Add timing plan
  [pending] Write Q&A preparation notes
→ After completion:
[completed] Generate presentation outline (12 slides, 20min talk)

Error Handling

  1. Missing paper content: Ask user to provide paper file path or paste key sections
  2. Unclear venue requirements: Use standard defaults, note assumptions in output
  3. Platform-specific failures: Generate available platforms, skip unavailable ones
  4. Content too long/short: Adjust based on guidelines (slide count for duration, word count for blog)

Coordinator Checklist

Before each phase:

  • Paper context is available and parsed
  • Phase-specific preferences collected (duration/format/platforms)
  • Output file path determined

After each phase:

  • Output file written and verified
  • TodoWrite updated (phase marked completed)
  • Next phase dispatched (if selected)

After all phases:

  • Summary of generated outputs presented to user
  • File paths listed for easy access

Signals

GitHub stars
560
Forks
68
Last commit
Sep 2026
Advanced
Item type
skill
Key
scholar-publish
Source
github.com/catlog22/maestro-flow