/scholar-publish
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".
$ npx -y skills add catlog22/maestro-flow --skill scholar-publish --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/scholar-publish
Context preview
The summary Claude sees to decide when to auto-load this skill.
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".
SKILL.md
scholar-publish.SKILL.mdname: scholar-publish
disable-model-invocation: true
description: 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".
allowed-tools: AskUserQuestion(*), TodoWrite(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*)
session-mode: none
Scholar Publish
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):
| Phase | Document | Purpose | Compact | |-------|----------|---------|---------| | 1 | [phases/01-presentation.md](phases/01-presentation.md) | Slide outline creation | TodoWrite driven | | 2 | [phases/02-poster.md](phases/02-poster.md) | Poster layout design | TodoWrite driven | | 3 | [phases/03-promotion.md](phases/03-promotion.md) | Multi-platform promotion | TodoWrite 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 ex
Read more
name: scholar-publish disable-model-invocation: true description: 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". allowed-tools: AskUserQuestion(*), TodoWrite(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*) session-mode: none
Scholar Publish
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):
| Phase | Document | Purpose | Compact | |-------|----------|---------|---------| | 1 | [phases/01-presentation.md](phases/01-presentation.md) | Slide outline creation | TodoWrite driven | | 2 | [phases/02-poster.md](phases/02-poster.md) | Poster layout design | TodoWrite driven | | 3 | [phases/03-promotion.md](phases/03-promotion.md) | Multi-platform promotion | TodoWrite 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 ex
Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more
Repo: catlog22/maestro-flow
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