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Post-acceptance conference preparation workflow covering presentation slides, academic posters, and promotion content.
Passed 19 of 23 test cases with the skill, and 10 of 23 without it.
and 7 more in the full report
10 fixed9 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
I have confirmed the preferences for generating presentation slides for my paper 'Efficient MoE Routing' at ICLR. What specific markdown filename will be produced for the presentation outline deliverable?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies the output filename as presentation-outline.md | Missed | Passed |
The instructions your model reads when the skill loads.
Post-acceptance conference preparation workflow that helps researchers create presentation materials, academic posters, and promotional content for accepted papers.
.workflow/codebase/ARCHITECTURE.md exists, read for project contextmaestro load --type spec --category coding — load coding conventionsmaestro search "academic writing research paper" --json — top 5 entries as prior context┌──────────────────────────────────────────────────────────────┐
│ /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.
test cases passed, vs 10 / 23 without
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