outline-agent

# Outline Agent (Step 1) Faithful implementation of the Outline Agent from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, App. F.1, pp. 40–44). **Cost: 1 LLM call.** ## Your task Read four input files from the workspace and produce a single JSON object at `workspace/outline.json` with three top-level keys: - `plotting_plan` — array of figure objects - `intro_related_work_plan` — object with `introduction_strategy` and `related_work_strategy` - `section_plan` — array of section objects, each with `section_title` and `subsections[]` ## How to do it 1. **Read the verbatim prompt at `references/prompt.md`.** This is the exact Outline Agent system prompt from the paper. Use it as your system message. 2. **Prepend the Anti-Leakage Prompt** from `../paper-orchestra/references/anti-leakage-prompt.md`. 3. **Read the four input files**: - `workspace/inputs/idea.md` - `workspace/inputs/experimental_log.md` - `workspace/inputs/template.tex` - `workspace/inputs/conference_guidelines.md` 4. **Synthesize across all four** — the global instruction in the prompt is "Do not analyze inputs in isolation. You must synthesize information across all provided documents for every step." 5. **Emit a single JSON object** following the schema in `references/outline-schema.md`. Cross-check against `references/outline_schema.json` (machine-readable). 6. **Save to** `workspace/outline.json`. 7. **Validate**: ```bash python skills/outline-agent/scripts/valida...