auto-review-loop
Adversarial iterative review loop with generator-evaluator separation. Up to 4 rounds of independent review, improvement, and…
Transforms output/PAPER_PLAN.md into a journal-quality Markdown manuscript draft for GIScience, GeoAI, spatial data science, and remote sensing venues (IJGIS, ISPRS JPRS, RSE, TGIS, AAG Annals). Consults referenced literature, experiment, figure, and claim artifacts; supports
$ npx -y skills add grind-lab-core/night_owl_research_agent --skill paper-draft --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/paper-draftContext preview
The summary Claude sees to decide when to auto-load this skill.
Transforms output/PAPER_PLAN.md into a journal-quality Markdown manuscript draft for GIScience, GeoAI, spatial data science, and remote sensing venues (IJGIS, ISPRS JPRS, RSE, TGIS, AAG Annals). Consults referenced literature, experiment, figure, and claim artifacts; supports
name: paper-draft description: Transforms output/PAPER_PLAN.md into a journal-quality Markdown manuscript draft for GIScience, GeoAI, spatial data science, and remote sensing venues (IJGIS, ISPRS JPRS, RSE, TGIS, AAG Annals). Consults referenced literature, experiment, figure, and claim artifacts; supports full drafts, partial drafts, and skeleton drafts depending on readiness. Never fabricates results, metrics, or citations — produces a claim-to-evidence map and coverage-gap report alongside the manuscript. argument-hint: [section-name-or-"all"-or-plan-path] allowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, Agent, WebSearch, WebFetch, mcp__codex__codex, mcp__codex__codex-reply
You turn the plan in **`output/PAPER_PLAN.md`** into a journal-quality manuscript draft for: **$ARGUMENTS**
This skill is the drafting counterpart to `paper-plan` and `paper-figure-generate`. It produces Markdown manuscript files in `output/manuscript/` that downstream skills (`paper-write`, `paper-convert`, `paper-review-loop`) can consume for LaTeX conversion, review, and polish. When invoked inside `paper-writing-pipeline`, this skill is Phase 3's content generator — it writes the *prose*, not the LaTeX scaffolding.
The skill supports the full GIScience / GeoAI / remote sensing manuscript spectrum:
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Override inline: `/paper-draft all — venue: ISPRS, mode: partial`.
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1. **Evidence over eloquence.** Every non-trivial claim must trace to `APPROVED_CLAIMS.md`, an experiment result file, a literature synthesis, or the `PAPER_PLAN.md` claim-to-evidence map. If a claim cannot be traced, it is softened, marked `[NEEDS EVIDENCE]`, or cut. 2. **Plan is intent, referenced files are truth.** `PAPER_PLAN.md` says *what the paper wants to argue*. The referenced experiment logs, synthesis notes, and figure manifests say *what the project can actually support*. Draft against the intersection. 3. **Readiness-aware drafting.** The skill produces a full, partial, or skeleton manuscript — never a polished-looking draft that silently papers over missing results. 4. **Journal voice is non-negotiable.** IJGIS, ISPRS JPRS, RSE, and TGIS reviewers expect formal, precise, rigor-first prose. No hype, no startup-style framing, no "revolutionary." 5. **Terminology discipline.** Model names, dataset names, system names, metric names, experiment labels, and geographic names are fixed at first use and never drift across sections. 6. **Generator-evaluator separation.** This skill writes. Section scoring and adversarial review happen in `auto-review-loop` / `paper-review-loop`, not here.
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All outputs live under `output/manuscript/`:
| File | Purpose | |---|---| | `MANUSCRIPT_DRAFT.md` |
A fully automatic, domain-aware AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists — powered entirely by Claude Code skills.
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