Skill: paper-plan

SkillAI & models

Produces a detailed, venue-aware paper outline from all available upstream artifacts (RESEARCH_PLAN, lit review, idea report, refined proposal, experiment plan/results, narrative report). Creates section-by-section plan with word budgets, claim-evidence matrix, figure/table plan, and citation scaffolding. Uses journal templates from templates/ for venue-specific formatting.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Skill: paper-plan skill

What this skill tells your AI

The instructions your AI receives, as published by grind-lab-core/night_owl_research_agent in skills/paper-plan/SKILL.md and read by ahel’s review.

You produce a concrete, actionable paper outline before any writing begins from: $ARGUMENTS


Constants

  • REVIEWER_MODEL = gpt-5.4 — Model used via Codex MCP for outline review. Must be an OpenAI model.
  • TARGET_VENUE = IJGIS — Default venue. User can override (e.g., /paper-plan "topic" — venue: AAAG). Supported: TGIS, RSE, ISPRS_JPRS, AAG_ANNALS, IEEE_TGRS, ICML, ICLR, NeurIPS, CVPR, ACL, AAAI, ACM, IEEE_JOURNAL (IEEE Transactions / Letters), IEEE_CONF (IEEE conferences).
  • MAX_PAGES = 40 — Adjust based on paper template selected. ML conferences typically 8–10 pages (excluding refs/appendix). IEEE venues include references in page count.
  • MAX_PRIMARY_CLAIMS = 2 — One dominant contribution + one supporting. Prevents scope creep.
  • MAX_FIGURES = 8 — Soft cap; hero figure + up to 7 supporting figures/tables.
  • OUTPUT_PATH = output/PAPER_PLAN.md

Orchestra-Guided Writing Overlay

Keep the existing workflow and outputs, but use the shared references below to improve the quality of the story and outline.

  • Read skills/knowledge/academic-writing.md when framing the one-sentence contribution, Abstract, Introduction, Related Work, or hero figure.
  • Read skills/knowledge/geoai-domain.md for GIScience/GeoAI framing conventions.
  • Read skills/knowledge/spatial-methods.md when planning methodology sections for spatial analysis papers.
  • Only load these references when needed; do not paste their full contents into the working draft.

Phase 0: Load Checkpoint (Resume Support)

Check for existing state:

  1. Read output/PAPER_PLAN.md — if it exists and was generated in the current session, ask the user whether to rebuild or refine it.
  2. Read handoff.json — if pipeline.stage indicates paper-plan is in progress, resume from the last recorded phase.

If no checkpoint exists, proceed to Phase 1.


Phase 1: Gather Context

Read all available upstream artifacts. Each file is optional — missing files are soft failures. Record which files were found and which were missing; this information goes into the plan's "Input Files Used" and "Missing Inputs" sections.

Primary Inputs (read in this order)

PriorityFileWhat to extractRequired?
1RESEARCH_PLAN.mdProblem statement, method overview, success criteria, target venue, research questionsNo — fall back to FINAL_PROPOSAL or NARRATIVE_REPORT
2output/LIT_REVIEW_REPORT.mdGap Analysis (gaps this paper closes), Synthesis (related work themes), key citationsNo — reduces related work quality
3output/IDEA_REPORT.mdChosen idea rationale, pilot scores, competing ideas consideredNo — reduces novelty framing
4output/refine-logs/FINAL_PROPOSAL.mdRefined problem, method, contributions, feasibility assessmentNo — fall back to RESEARCH_PLAN
5output/EXPERIMENT_PLAN.mdExperiment design, run order, success criteria, claim-to-experiment mappingNo — reduces experiment planning quality
6output/EXPERIMENT_RESULT.mdActual quantitative results, metrics, pass/fail statusNo — plan will flag results as [PENDING]
7output/NARRATIVE_REPORT.mdConsolidated narrative with claims-evidence matrix, figure plan, limitationsNo — if present, this is the richest single source

Context Synthesis Rules

  1. NARRATIVE_REPORT.md is king — if it exists, it is the primary planning source. It was specifically designed to consolidate all upstream artifacts for the paper-writing pipeline. Use other files only to fill gaps or verify claims.
  2. RESEARCH_PLAN.md is the research intent — it defines what the researcher wants to achieve. FINAL_PROPOSAL.md is the refined version. EXPERIMENT_RESULT.md is what actually happened. The outline must reconcile all three.
  3. Never fabricate from gaps — if a file is missing, the outline must explicitly mark the affected sections as [NEEDS: <missing-file>] rather than inventing content.
  4. Numbers are sacred — copy metrics verbatim from EXPERIMENT_RESULT.md and APPROVED_CLAIMS.md. Never round, paraphrase, or extrapolate.

Phase 2: Determine Venue and Paper Type

Step 2.1: Resolve TARGET_VENUE

Check in this order (first match wins):

  1. Explicit user argument (e.g., — venue: ISPRS_JPRS)
  2. RESEARCH_PLAN.md target venue field
  3. NARRATIVE_REPORT.md venue target section
  4. output/PAPER_PLAN.md existing venue (if refining)
  5. Default: IJGIS

Step 2.2: Load Venue Template

Based on TARGET_VENUE, choose the appropriate template from templates/:

Venue CategoryTemplate DirectoryVenues
GISciencetemplates/giscience/IJGIS, TGIS, AAG Annals
Remote Sensingtemplates/remote_sensing/RSE, IEEE TGRS, ISPRS JPRS
Geosciencetemplates/geoscience/GRL, Nature Geoscience
ML Conference(use WebSearch)ICLR, NeurIPS, ICML, CVPR, ACL, AAAI
IEEE(use WebSearch)IEEE_JOURNAL, IEEE_CONF

If the template does not exist locally, use WebSearch to retrieve the venue's author guidelines and page limits.

Step 2.3: Determine Paper Type

Infer from the contributions and method:

Paper TypeSignalSection Emphasis
Methodological innovationNew algorithm/model, ablation studiesHeavy Methods + Experiments
Applied case studyDomain problem, study area, practical resultsHeavy Study Area + Results + Discussion
Benchmark/evaluationComparison across methods/datasetsHeavy Experiments + Analysis
System/platformArchitecture, pipeline, deploymentHeavy System Description + Evaluation
Conceptual/frameworkTheory, taxonomy, conceptual modelHeavy Framework + Case Study
Review/surveySynthesis, taxonomy, gap analysisHeavy Literature + Synthesis

Step 2.4: Set Page Budget

Derive from venue:

Venue TypeMAX_PAGESReferences in page count?Appendix allowed?
IJGIS / TGIS / AAG Annals25–30NoYes (supplementary)
RSE / ISPRS JPRS20–30VariesYes
IEEE TGRS13–15YesBrief online supplement
IEEE_CONF6–8YesNo
ICLR / NeurIPS / ICML8–10NoYes (appendix)
CVPR8NoYes (supplementary)

Phase 3: Build the Outline

Write output/PAPER_PLAN.md following the structure in templates/PAPER_PLAN_TEMPLATE.md (Sections §0–§26). The template is the target schema; fill every section with content derived from the upstream artifacts.

Section-by-Section Generation Rules

§0 Document Status — Fill version, date, venue, manuscript type, readiness level, list of input files consumed and missing.

§1 One-Paragraph Summary — Synthesize from NARRATIVE_REPORT.md §1 or FINAL_PROPOSAL.md contributions. The one-sentence claim must be specific, defensible, and evidence-based. Draft a 150–250 word abstract-style summary.

§2 Target Journal Strategy — Use venue template to fill journal fit, audience, expectations. Read skills/knowledge/academic-writing.md for framing advice.

§3 Research Context and Motivation — Draw from LIT_REVIEW_REPORT.md synthesis + RESEARCH_PLAN.md problem statement. Quantify the problem scale.

§4 Research Gap — Extract directly from LIT_REVIEW_REPORT.md Gap Analysis section. List specific gaps with boundary citations. Explain why existing work is insufficient.

§5 Novelty and Contributions — Numbered contributions from FINAL_PROPOSAL.md or NARRATIVE_REPORT.md. Each contribution tied to a specific experiment/claim. Include "What This Paper Is Not Claiming" to set expectations.

§6 Research Questions and Hypotheses — From RESEARCH_PLAN.md or FINAL_PROPOSAL.md. Align RQs with experiment design from EXPERIMENT_PLAN.md.

§7 Study Scope and Boundaries — Spatial, temporal, data, and method scope. Explicit limitations of scope.

§8 Data and Materials — From DATA_MANIFEST.md and EXPERIMENT_PLAN.md. For each dataset: source, resolution, temporal coverage, preprocessing, license.

§9 Methodological Plan — From FINAL_PROPOSAL.md method description and EXPERIMENT_PLAN.md design. Include baselines, evaluation protocol, spatial analysis components. Read skills/knowledge/spatial-methods.md for GIScience method framing.

§10 Experiments — From EXPERIMENT_PLAN.md (design) and EXPERIMENT_RESULT.md (outcomes). Mark incomplete experiments as [PENDING].

§11 Results Summary — From EXPERIMENT_RESULT.md and APPROVED_CLAIMS.md. Headline findings in priority order. Quantitative results with exact values. Flag missing results as [NEEDS: experiment completion].

§12 Claim-to-Evidence Map — The backbone of the plan. Every major claim maps to: evidence source, quantitative support, figure/table ID, experiment ID, confidence level. Unsupported claims go into "Unsupported or Weak Claims" subsection.

§13 Figures Plan — From NARRATIVE_REPORT.md figure plan or EXPERIMENT_RESULT.md outputs. For each figure: ID, type, description, data source, status, priority.

CRITICAL: Hero Figure (Fig. 1) — Describe in detail:

  • What methods/concepts are being compared
  • What the visual difference should demonstrate
  • Caption draft that clearly states the comparison
  • Why a skim reader understands the paper from this figure alone

§14 Tables Plan — Required tables: dataset summary, baseline comparison, ablation (if applicable), hyperparameters, error analysis.

§15 Related Work Synthesis — From LIT_REVIEW_REPORT.md thematic synthesis. Group into 3–4 clusters that map to the paper's related work section. For each cluster: summary, representative studies, how our work relates and differs.

§16 Discussion Plan — Interpretation themes, implications (GIScience/GeoAI + practical), responsible research considerations, generalizability.

§17 Limitations and Future Work — Concrete limitations from EXPERIMENT_RESULT.md and AUTO_REVIEW_REPORT.md. Severity assessment. 3–5 specific future work directions.

§18 Reproducibility and Open Science Plan — Code availability, data availability, reproducibility assets checklist.

§19 Manuscript Structure Plan — Section outline (5–8 sections, flexible) with word budgets. Per-section: goal, key points, gap statement, contributions paragraph.

§20 Abstract Blueprint — Sentence-by-sentence abstract structure: background → gap → method → data → main results → significance.

§21 Title and Framing Options — 3 candidate titles. Dominant framing (methodological / applied / benchmark / conceptual).

§22 Citation and Evidence Bank — Per-section citation plan from LIT_REVIEW_REPORT.md verified citations. Flag unverified citations with [VERIFY].

§23 Writing Instructions for Downstream Agent — Non-negotiable writing goals, style instructions, section priorities, writing risks to avoid. Venue-specific tone guidance.

§24 Open Issues Before Drafting — Critical gaps, nice-to-have improvements, required follow-up actions with owners and priorities.

§25 Final Readiness Assessment — Ready for full/partial/skeleton draft? Minimum conditions for drafting. Recommended drafting strategy.

§26 Executive Summary for Manuscript Writer — Concise: what the paper is about, why publishable, strongest/weakest evidence, what to emphasize, what to be careful about.

Section Count and Word Budget

IMPORTANT: The section count is FLEXIBLE (5–8 sections). Choose what fits the content and paper type best. The template sections above are the planning schema — the actual manuscript sections in §19 are determined by venue and paper type.

Example word budgets for a 25-page IJGIS paper (~8000 words):

SectionWordsNotes
Abstract200–250Structured: problem, gap, method, data, results, significance
Introduction800–10005–6 paragraphs, end with numbered contributions
Literature Review1500–20003–4 themed subsections + gap paragraph
Study Area & Data500–800Maps, data tables, preprocessing
Methodology1200–1500Architecture, baselines, evaluation protocol
Results1000–1200Lead with strongest claim
Discussion700–1000Interpretation, comparison, limitations, implications
Conclusion300–500Mirror contributions, future work

Adjust proportions for ML conferences (heavier methods/experiments, lighter lit review) or applied papers (heavier study area/discussion).


Phase 4: Figure and Table Plan

Consolidate the figure and table plan from §13 and §14 into a single reference table:

## Figure & Table Plan

| ID | Type | Description | Data Source | Priority | Status |
|----|------|-------------|-------------|----------|--------|
| Fig 1 | Hero/Architecture | System overview or key comparison | manual/code | HIGH | [Ready/Needed] |
| Fig 2 | Map | Study area with spatial units | GIS data | HIGH | [Ready/Needed] |
| Fig 3 | Line/Bar plot | Main quantitative comparison | output/EXPERIMENT_RESULT.md | HIGH | [Ready/Needed] |
| Fig 4 | Heatmap/Map | Spatial pattern visualization | spatial-analysis/ | MEDIUM | [Ready/Needed] |
| Table 1 | Data summary | Dataset characteristics | DATA_MANIFEST.md | HIGH | [Ready/Needed] |
| Table 2 | Comparison | Main results vs. baselines | EXPERIMENT_RESULT.md | HIGH | [Ready/Needed] |
| Table 3 | Ablation | Component contribution analysis | EXPERIMENT_RESULT.md | MEDIUM | [Ready/Needed] |

For each HIGH-priority figure, provide:

  • Detailed visual specification (axes, colors, annotations)
  • Caption draft
  • Data source path
  • Generation method (Python script / manual / architecture diagram prompt)

Check output/figures/FIGURE_MANIFEST.md — if figures already exist from a prior paper-figure-generate run, reference them rather than re-planning.


Phase 5: Citation Scaffolding

For each section, list required citations drawn from verified sources:

## Citation Plan
- §Intro: [paper1], [paper2], [paper3] (problem motivation)
- §Related: [paper4]-[paper10] (categorized by cluster from §15)
- §Method: [paper11] (baseline), [paper12] (technique we build on)
- §Discussion: [paper13] (comparison point), [paper14] (implication support)

Citation rules:

  1. NEVER generate BibTeX from memory — always verify via search or existing .bib files
  2. Every citation must be verified: correct authors, year, venue
  3. Flag any citation you are unsure about with [VERIFY]
  4. Prefer published versions over arXiv preprints when available
  5. Draw primarily from output/LIT_REVIEW_REPORT.md which has already-verified citations
  6. For missing citations, use WebSearch to find the correct reference — do not guess

Phase 6: Cross-Review with REVIEWER_MODEL

Send the complete outline to REVIEWER_MODEL for feedback:

mcp__codex__codex:
  model: gpt-5.4
  config: {"model_reasoning_effort": "xhigh"}
  prompt: |
    Review this paper outline for a [VENUE] submission.
    [full outline including Claims-Evidence Matrix]

    Score 1-10 on:
    1. Logical flow — does the story build naturally?
    2. Claim-evidence alignment — every claim backed?
    3. Missing experiments or analysis
    4. Positioning relative to prior work
    5. Page budget feasibility (MAX_PAGES = main body to Conclusion end, excluding refs/appendix for most venues; IEEE venues include refs)
    6. Front-matter strength — are the abstract, introduction, and hero figure plan strong enough for skim-reading reviewers?
    7. Input coverage — does the plan utilize all available upstream artifacts?
    8. Venue fit — does the framing, depth, and emphasis match the target journal's expectations?

    For each weakness, suggest the MINIMUM fix.
    Be specific and actionable — "add X" not "consider more experiments".

If Codex MCP is not available, spawn a subagent with fresh context to review the outline instead.

Apply feedback before finalizing. If any score is below 6, address the specific weakness before proceeding.


Phase 7: Self-Check

Before saving, verify all of the following:

  • Every numbered contribution maps to ≥1 row in the Claims-Evidence Matrix (§12)
  • Every claim in the matrix has a source file path (e.g., EXPERIMENT_RESULT.md §3.2)
  • Every HIGH-priority figure has a detailed visual specification and caption draft
  • Hero figure description is detailed enough for paper-figure-generate to produce it
  • Missing upstream files are documented in §0 "Missing Inputs" and affected sections are marked [NEEDS: <file>]
  • Word budgets sum to within ±10% of venue word limit
  • Venue-specific formatting norms are noted (citation style, page counting, appendix rules)
  • No fabricated claims, numbers, or citations exist in the plan
  • §25 readiness assessment accurately reflects the state of available evidence
  • §26 executive summary is actionable for paper-draft

If any check fails, fix the plan before writing the final output.


Phase 8: Output

Save the final outline to output/PAPER_PLAN.md.

Append a one-line entry to output/PROJ_NOTES.md:

[YYYY-MM-DD] paper-plan: PAPER_PLAN.md built from [list of consumed input files] — [N] sections, [M] figures, [K] claims, venue=[VENUE]

Report back to the user:

Paper plan complete:
- Title: [proposed title]
- Venue: [TARGET_VENUE] | Page limit: [MAX_PAGES]
- Sections: [N] ([list names])
- Contributions: [N]
- Claims in evidence matrix: [M] (supported: X, pending: Y)
- Figures planned: [total] (hero: 1, auto: X, manual: Y)
- Tables planned: [Z]
- Input files consumed: [list]
- Missing inputs: [list or "none"]
- Readiness: [full draft / partial draft / skeleton — from §25]

Ready to invoke /paper-figure-generate or /paper-draft.

Key Rules

  • Large file handling: If the Write tool fails due to file size, immediately retry using Bash (cat << 'EOF' > file) to write in chunks. Do NOT ask the user for permission — just do it silently.
  • Do NOT generate author information — leave author block as placeholder or anonymous.
  • Be honest about evidence gaps — mark claims as [NEEDS: evidence] rather than overclaiming. The downstream paper-draft skill will handle these appropriately.
  • Page budget is hard — if content exceeds MAX_PAGES, suggest what to move to appendix.
  • MAX_PAGES counting differs by venue — ML conferences: main body to Conclusion end, references/appendix NOT counted. IEEE venues: references ARE counted toward the page limit.
  • Venue-specific norms — ML conferences (ICLR/NeurIPS/ICML) use natbib (\citep/\citet); IEEE venues use cite package (\cite{}, numeric style); GIScience journals typically use author-year (APA or similar).
  • Claims-Evidence Matrix is the backbone — every claim must map to evidence, every experiment must support a claim. This matrix is the primary contract between paper-plan and paper-draft.
  • Front-load the story — the outline should make the contribution clear in the title, abstract blueprint, introduction plan, and hero figure before the reader reaches the full method.
  • Figures need detailed descriptions — especially the hero figure, which must clearly specify comparisons and visual expectations.
  • Section count is flexible — 5–8 sections depending on paper type. Don't force content into a rigid template.
  • NARRATIVE_REPORT.md is the richest source — if it exists, use it as the primary input and cross-reference other files for verification.
  • Template is the target schema — follow templates/PAPER_PLAN_TEMPLATE.md (§0–§26) as the output structure. Every section should be filled or explicitly marked N/A with a reason.
  • Do NOT generate BibTeX — citation scaffolding provides keys and context, but actual BibTeX generation belongs to downstream skills.

Composability

Upstream Skills (produce inputs for this skill)

SkillArtifactHow paper-plan uses it
lit-reviewoutput/LIT_REVIEW_REPORT.mdGap analysis, related work themes, verified citations
generate-ideaoutput/IDEA_REPORT.mdIdea rationale, novelty framing
refine-researchoutput/refine-logs/FINAL_PROPOSAL.mdRefined method, contributions
experiment-designoutput/EXPERIMENT_PLAN.mdExperiment design, success criteria
deploy-experimentoutput/EXPERIMENT_RESULT.mdActual results, metrics
auto-review-loopoutput/AUTO_REVIEW_REPORT.mdReviewer feedback
generate-reportoutput/NARRATIVE_REPORT.mdConsolidated narrative (preferred primary source)
data-downloaddata/DATA_MANIFEST.mdDataset provenance

Downstream Skills (consume this skill's output)

SkillWhat it readsWhat it does
paper-figure-generateoutput/PAPER_PLAN.md §13 Figure PlanGenerates publication-quality figures
paper-draftoutput/PAPER_PLAN.md (full)Writes journal-quality manuscript
paper-review-loopoutput/PAPER_PLAN.md (claims matrix)Reviews draft against planned claims

Pipeline Context

When invoked as part of paper-writing-pipeline, this skill is Phase 1. The pipeline expects output/PAPER_PLAN.md to exist after this skill completes.

When invoked standalone, ensure at least one of RESEARCH_PLAN.md, FINAL_PROPOSAL.md, or NARRATIVE_REPORT.md exists — otherwise the skill has insufficient context to build a meaningful plan.


Acknowledgements

Outline methodology inspired by Research-Paper-Writing-Skills (claim-evidence mapping), claude-scholar (citation verification), and Imbad0202/academic-research-skills (claim verification protocol). Template structure follows the §0–§26 schema from templates/PAPER_PLAN_TEMPLATE.md.

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github.com/grind-lab-core/night_owl_research_agent