paper-writing skill
Workflow 3: Full paper writing pipeline that goes from a narrative report to a polished, submission-ready PDF. Use when user says \"写论文全流程\", \"write paper pipeline\", \"从报告到PDF\", \"paper writing\", or wants the complete paper generation workflow.
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Install the paper-writing skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep.git /tmp/Auto-claude-code-research-in-sleep mkdir -p ~/.claude/skills cp -r /tmp/Auto-claude-code-research-in-sleep/skills/paper-writing ~/.claude/skills/paper-writing
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
Workflow 3: Paper Writing Pipeline
Orchestrate a complete paper writing workflow for: $ARGUMENTS
Overview
This skill chains five sub-skills into a single automated pipeline:
/paper-plan → /paper-figure → /paper-write → /paper-compile → /auto-paper-improvement-loop
(outline) (plots) (LaTeX) (build PDF) (review & polish ×2)Each phase builds on the previous one's output. The final deliverable is a polished, reviewed paper/ directory with LaTeX source and compiled PDF.
In this hybrid pack, the pipeline itself is unchanged, but paper-plan and paper-write use Orchestra-adapted shared references for stronger story framing and prose guidance.
Constants
- VENUE = ICLR — Target venue. Options: ICLR, NeurIPS, ICML, CVPR, ACL, AAAI, ACM, IEEEJOURNAL (IEEE Transactions / Letters), IEEECONF (IEEE conferences). Affects style file, page limit, citation format.
- MAXIMPROVEMENTROUNDS = 2 — Number of review→fix→recompile rounds in the improvement loop.
- REVIEWERMODEL = gpt-6-astra** — Model used via Codex MCP for plan review, figure review, writing review, and improvement loop.
- AUTOPROCEED = true** — Auto-continue between phases. Set false to pause and wait for user approval after each phase.
- HUMANCHECKPOINT = false** — When true, the improvement loop (Phase 5) pauses after each round's review to let you see the score and provide custom modification instructions. When false (default), the loop runs fully autonomously. Passed through to /auto-paper-improvement-loop.
- ILLUSTRATION = figurespec — Architecture/illustration generator for Phase 2b: figurespec (default, deterministic JSON→SVG via /figure-spec, best for architecture/workflow/topology), gemini (AI-generated via /paper-illustration, best for qualitative method illustrations; needs GEMINIAPIKEY), codex-image2 (AI-generated via /paper-illustration-image2 through the local Codex native image bridge — no external API key, uses your ChatGPT Plus/Pro quota; experimental), mermaid (Mermaid syntax via /mermaid-diagram, free, best for flowcharts), or false (skip Phase 2b, manual only).
Override inline: /paper-writing "NARRATIVE_REPORT.md" — venue: NeurIPS, illustration: gemini, human checkpoint: true
IEEE example: /paper-writing "NARRATIVEREPORT.md" — venue: IEEEJOURNAL
Inputs
This pipeline accepts one of:
- NARRATIVEREPORT.md** (best) — structured research narrative with claims, experiments, results, figures
- Research direction + experiment results — the skill will help draft the narrative first
- Existing PAPERPLAN.md — skip Phase 1, start from Phase 1.5** (the contract negotiation still runs; only resuming a genuine pre-1.5 legacy run may skip it, and then Phase 6.0's row 0 records "no contract")
The more detailed the input (especially figure descriptions and quantitative results), the better the output.
Optional: Style reference (— style-ref: , opt-in)
Lets the user steer structural style (section ordering, theorem density, sentence cadence, figure density, bibliography style) of the generated paper toward a reference paper they admire. Default OFF — when the user does not pass — style-ref, do nothing differently from before.
When — style-ref: is in $ARGUMENTS, run the helper FIRST, before Phase 1 (paper-plan):
# Resolve $STYLE_HELPER via the canonical strict-safe chain (see
# shared-references/integration-contract.md §2). Policy A — gate:
# unresolved helper means --style-ref cannot be satisfied, so abort.
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills.txt ]; then
ARIS_REPO=$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true
fi
if [ -z "${ARIS_REPO:-}" ] && [ -f "$HOME/.aris/repo" ]; then
ARIS_REPO=$(cat "$HOME/.aris/repo" 2>/dev/null) || true
fi
STYLE_HELPER=".aris/tools/extract_paper_style.py"
[ -f "$STYLE_HELPER" ] || STYLE_HELPER="tools/extract_paper_style.py"
[ -f "$STYLE_HELPER" ] || { [ -n "${ARIS_REPO:-}" ] && STYLE_HELPER="$ARIS_REPO/tools/extract_paper_style.py"; }
[ -f "$STYLE_HELPER" ] || {
echo "ERROR: extract_paper_style.py not resolved at .aris/tools/, tools/, \$ARIS_REPO/tools/, or via ~/.aris/repo." >&2
echo " Fix: rerun bash tools/install_aris.sh or smart_update.sh (refreshes ~/.aris/repo), export ARIS_REPO, or copy the helper to tools/." >&2
echo " --style-ref cannot be satisfied; aborting." >&2
exit 1
}
STYLE_STATUS=0
CACThen forward — style-ref: only to the writer-side sub-skills:
- /paper-plan (Phase 1) — outline structure
- /paper-write (Phase 3) — section-by-section prose
- /paper-illustration (Phase 2b) — figure structural matching, optional
Sources accepted: local TeX dir / file, local PDF, arXiv id, http(s) URL. Overleaf URLs/IDs are rejected — clone via /overleaf-sync setup first and pass the local clone path.
Strict rules (full contract in tools/extractpaperstyle.py docstring):
- Use styleprofile.md as structural** guidance only. Match section-count tendency, theorem density, caption-length distribution, sentence cadence, math display ratio, citation style.
- Never copy prose, claims, examples, or terminology from anything reachable through the cache.
- Never pass — style-ref (or the cache contents) to reviewer / auditor sub-skills — Phase 4.5 (/proof-checker), Phase 4.7 / 5.5 (/paper-claim-audit), Phase 5 (/auto-paper-improvement-loop reviewer), Phase 5.8 (/citation-audit) MUST run on the artifact alone. Cross-model review independence (../shared-references/reviewer-independence.md).
Pipeline
Phase 0: Assurance Setup
Resolve the active assurance level and persist it so Phase 6's external verifier reads the same value. Run once at pipeline start, before Phase 1.
Resolution order (first match wins):
- Explicit — assurance: draft | submission in $ARGUMENTS
- Derived from — effort:
- lite / balanced → draft (default, zero change from current behavior)
- max / beast → submission
- Default: draft
Action:
mkdir -p paper/.aris
echo "<resolved-level>" > paper/.aris/assurance.txt # draft or submissionWhat each level does downstream:
matches (Phase 4.5 / 4.7 / 5.5 / 5.8). Missing artifacts are non-blocking. Silent-skip allowed.
- draft — Existing behavior. Audits run only when their content detector
paper-claim-audit, citation-audit, kill-argument) are treated as load-bearing gates. Each sub-audit must emit its JSON artifact (PASS / WARN / FAIL / NOTAPPLICABLE / BLOCKED / ERROR) — never silent-skip. Phase 6 runs verifypaper_audits.sh (canonical name; resolved per shared-references/integration-contract.md §2); a non-zero exit blocks the Final Report.
- submission — The four mandatory audits (proof-checker,
Escape hatch: a user wanting the old "beast = depth-only, no audit gate" can pass — effort: beast, assurance: draft explicitly. Legal but discouraged for actual submissions. See shared-references/assurance-contract.md for the full contract.
Announce the resolved level in-line before Phase 1:
📋 Assurance: <level> (derived from effort: <effort>)
<either "current behavior, no audit gate" OR "mandatory audits gated by verify_paper_audits.sh (resolved per integration-contract §2)">Phase 1: Paper Plan
Invoke /paper-plan to create the structural outline:
/paper-plan "$ARGUMENTS"If — style-ref: was passed in $ARGUMENTS and the helper succeeded above, append — style-ref: to the invocation: /paper-plan " — style-ref: ". (Writer-side phase — forwarding is allowed; reviewer/auditor phases below must not see the style ref.)
What this does:
- Parse NARRATIVE_REPORT.md for claims, evidence, and figure descriptions
- Build a Claims-Evidence Matrix — every claim maps to evidence, every experiment supports a claim
- Design section structure (5-8 sections depending on paper type)
- Plan figure/table placement with data sources
- Scaffold citation structure
- GPT-6-Astra reviews the plan for completeness
Output: PAPER_PLAN.md with section plan, figure plan, citation scaffolding.
Checkpoint: Present the plan summary to the user.
📐 Paper plan complete:
- Title: [proposed title]
- Sections: [N] ([list])
- Figures: [N] auto-generated + [M] manual
- Target: [VENUE], [PAGE_LIMIT] pages
Shall I proceed with figure generation?- User approves (or AUTO_PROCEED=true) → proceed to Phase 1.5.
- User requests changes → adjust plan and re-present.
Phase 1.5: Negotiated Acceptance Contract (before any writing)
The plan says what the paper will contain; the CONTRACT says what "done" means — a checklist of testable assertions, negotiated ADVERSARIALLY before the first section is written, and graded at the end. (The plan is the boundary; the contract is what gets graded.)
PAPERACCEPTANCECONTRACT.md: 10–20 testable assertions covering — every headline claim has a named evidence source (file/table); every number in the abstract traces to a results file; scope qualifiers the title /abstract must carry; figures that must exist and what each must show; section-level completeness (e.g. "limitations names ≥2 real limitations, not hedges"); venue constraints (page limit, anonymization). Each assertion must be CHECKABLE by reading the final PDF + results files — no vibes ("writing is clear" is not an assertion; "every acronym is defined at first use" is). Fewer than ~10 assertions and the gate rubber-stamps; beyond ~20 the negotiation stalls on trivia.
- Executor proposes. From PAPERPLAN.md + NARRATIVEREPORT.md, draft
- Reviewer pushes back (fresh thread — the negotiation is adversarial):
mcp__codex__codex:
model: gpt-6-astra
config: {"model_reasoning_effort": "xhigh"}
prompt: |
You are negotiating the acceptance contract for a paper BEFORE it is
written. Read these files directly:
- Plan: <abs path>/PAPER_PLAN.md
- Proposed contract: <abs path>/PAPER_ACCEPTANCE_CONTRACT.md
- Evidence inventory: <abs path>/NARRATIVE_REPORT.md (+ results/ paths)
Push back on the contract, not the plan: (a) assertions that are
untestable or vibes — demand a checkable rewrite; (b) missing
assertions — claims in the plan that no assertion covers, numbers with
no traceability assertion, foreseeable overclaim risks with no scope
assertion; (c) assertions the evidence inventory cannot possibly
satisfy — flag now, not after writing. End with exactly one line:
CONTRACT_ACCEPTED: yes or CONTRACT_ACCEPTED: no
followed by your numbered revision demands if no.
=== SCOPE LIMITS (these bound what you PROPOSE, never what you look for) ===
Report anything that is actually wrong here — including a rare-looking case, if
this repo actually produces it. Then keep the fixA reply with a missing or malformed CONTRACT_ACCEPTED: line is treated as no; request a corrected verdict via codex-reply — that correction exchange does not consume a negotiation round.
mcpcodexcodex-reply (same thread — the negotiation is one conversation). Max 3 rounds.
- Iterate. On no, revise the contract per the demands and resubmit via
More skills from wanshuiyin/Auto-claude-code-research-in-sleep
- Aablation-plannerUse when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
- Aablation-plannerUse when main results pass result-to-claim (`claim_supported = yes` or `partial`) and ablation studies are needed for paper submission. A secondary Codex agent designs ablations from a reviewer's perspective; the local executor reviews feasibility and implements.
- AalphaxivQuick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
- AalphaxivQuick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
- Aanalyze-resultsAnalyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.
- Aanalyze-resultsAnalyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says \"analyze results\", \"compare\", or needs to interpret experimental data.
- AarxivSearch, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
- AarxivSearch, download, and summarize academic papers from arXiv. Use when user says \"search arxiv\", \"download paper\", \"fetch arxiv\", \"arxiv search\", \"get paper pdf\", or wants to find and save papers from arXiv to the local paper library.
- Aauto-paper-improvement-loopAutonomously improve a generated paper via GPT-6-Astra xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.
- Aauto-paper-improvement-loopAutonomously improve a generated paper via Claude review through claude-review MCP → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.
- Aauto-paper-improvement-loopAutonomously improve a generated paper via Gemini review through gemini-review MCP → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.
- Aauto-paper-improvement-loopAutonomously improve a generated paper via GPT-6-Astra xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.