paper-writing
Skill14 starsChanged 4 months agoMITView on GitHub
Use when writing or polishing academic papers. Use when the user mentions writing a paper, system paper, AI paper, polishing a draft, academic writing, or needs hierarchical logic flow for consistency.
36 other projects use a version of this.
Adopted by
Most recently taken up by
- kinhluan/skillstheir own version, first seen Nov 8, 2026
- 70asunflower/70asunflower-skillstheir own version, first seen Nov 8, 2026
- SNL-UCSB/paper-writing-skilltheir own version, first seen Nov 4, 2026
- VeryMath/AI4Math-Writingtheir own version, first seen Nov 3, 2026
- takayoshitoyoda05/claude-ml-templatetheir own version, first seen Oct 20, 2026
- shimo4228/claude-skill-paper-ecosystemtheir own version, first seen Oct 13, 2026
Used with
Projects with it also use ml-training-recipe, replication and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
getcompanion-aiSkillml-training-recipe
Find implementable ML training recipes from papers, datasets, docs, and code. Use when the user wants to fine-tune, train, reproduce, or choose a practical ML method, dataset, hyperparameter setup, or benchmark recipe.
Also in 3 projects that use this
getcompanion-aiSkillreplication
Plan a replication of a paper, claim, or benchmark, and execute only after an explicit environment choice. Use when the user asks to replicate results, reproduce an experiment, verify a claim empirically, or build a replication package.
Also in 3 projects that use this
brainbytes-devSkillalpha-research
Also in 3 projects that use this
JaimeParkerSkillpaper-code-audit
Perform three-way cross-validation of a research paper by comparing the original paper text (via Zotero), official code implementation (via Git), and personal Obsidian notes. Use this skill whenever the user wants to "audit a paper", "verify paper claims against code", "cross-check notes with implementation", "triangulate paper + code + notes", "find discrepancies between paper and code", or mentions wanting a deep, structured comparison of a paper's claims against its implementation and their own notes. Also trigger when the user asks to "analyze this paper thoroughly" with code available, or when they want to systematically reconcile what the paper says, what the code does, and what their notes claim.
Also in 3 projects that use this
JimLiuSkillpdf-explore
Use this skill when the user has attached a PDF, paper, report, or other document and the answer needs content from more than one place in it: summarize the methods or any other section, compare sections, find where a topic is discussed, read a value or label off a figure or chart, or find/list/extract every instance of something across the whole document (datasets, benchmarks, citations, figures, table rows, accession numbers — including appendices). Skip it only for a single lookup of 1–4 pages quoted in your very next response — `read_file(pages=[...])` attaches pages as images that are dropped from context after one turn, so multi-section answers end up re-reading the same ranges repeatedly. Parses the PDF once in the Python kernel: `pdf_pages` (pages as persistent text), `pdf_outline` (TOC), `pdf_scan` (rank pages by relevance), `pdf_map`/`pdf_extract` (per-page summary / structured fields via parallel haiku calls). For PDF creation/manipulation, use reportlab/pypdf directly.
Also in 4 projects that use this
Yusong-EnceladusSkillresearch-review
Get a deep critical review of research from GPT via Codex MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
Also in 6 projects that use this
- +1 more from getcompanion-ai
Other versions36 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 36
- wanshuiyin/Auto-claude-code-research-in-sleep★ 19ksame name
- advaitpaliwal/feynman★ 10ksame name
- companion-inc/feynman★ 10ksame name
- getcompanion-ai/feynman★ 10ksame name
- MLNLP-World/Paper-Writing-Tips★ 4.7ksame name
- ZimoLiao/scholaraio★ 585same name
- EvoScientist/EvoSkills★ 481same name
- SNL-UCSB/paper-writing-skill★ 249same name
- voidful/academic-skills★ 126same name
- TenureAI/PhD-Zero★ 52same name
26 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- writing-skillsSkill
- academic-pptx-skillSkill
- analyze-plotSkill
- paper-extractSkill
- paper-plotSkill
- paper-reviewSkill
- systematic-researchSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 7 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 26 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Core principle: Write mode builds from ideas.
- Distinctive: line 32
Every level commits to git.
- Distinctive: line 52
When polishing an existing draft, HLS documents MUST be generated — not just discussed verbally.
- Very specific: line 68
Do NOT proceed to L1 until: target venue determined, 6 core points written to docs/systematic-research/plans/stream-L0.md, each point …
- Distinctive: line 69
Do NOT batch all 6 points into a single message.
- Distinctive: line 74
Do NOT proceed to L2 until: each Section proposed ONE AT A TIME, name confirmed, A→B→C flow chain defined and confirmed, figures placed, L1 …
- Distinctive: line 75
Do NOT present all Sections at once.
- Very specific: line 79
Do NOT proceed to L3 until: skeleton copied to paper/, every Section drafted by its OWN parallel agent (all dispatched simultaneously, one …
- Distinctive: line 80
Do NOT write Sections sequentially.
“Common” is measured: kept by at least 6 in 10 of the 26 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Paper Writing — Hierarchical Logic Stream (HLS)
When to Use
| Scenario | Mode | Path |
| Starting a paper from scratch | Write | Full HLS: L0 → L1 → L2 → L3 |
| Polishing an existing draft (no HLS) | Polish | Extract L0/L1 from draft → critical review → L2/L3 |
| Polishing an existing draft (HLS exists) | Polish | Critical review L0/L1 → L2/L3 |
| Language polish only (draft is structurally sound) | Polish-lite | Skip L0/L1. Use existing structure, run L2/L3 for prose |
Core principle: Write mode builds from ideas. Polish mode extracts structure from a draft. Both use the same HLS levels — only the starting point differs.
Overview
4-level refinement. Each level validates before descending. No skipping. No merging.
| Level | Role | Reference |
| L0 | Judge — pressure-test thesis, determine venue | l0-core-idea.md |
| L1 | Architect — design custom Section flow chains | l1-chapter-structure.md |
| L2 | Builder — draft/revise Sections | l2-parallel-writing.md |
| L3 | Auditor — cross-validate L0↔L1↔L2 | l3-consistency-check.md |
Venue-driven discovery: Target venue determined at L0. All resources (skeleton, blueprint, writing guide) auto-discovered by exploring templates/ — never hardcoded.
Every level commits to git.
Universal Interaction Protocol
All L0/L1 confirmations use clickable options — never free-text. The user clicks, does not type.
| Interaction | Option Pattern |
| Venue selection | List discovered venues as clickable options (e.g., "NeurIPS (9pg)", "ICML (8pg)", "AAAI (7pg)", "OSDI (12pg)"), mark recommendation |
| Point judgment | "PASS — [reason]" / "WEAK — [what's missing]" / "REJECT — [why]" as selectable options |
| Section name | 2-3 name options with purpose, mark recommendation |
| Flow chain | Accept / Reorder / Add step / Remove step / Revise |
| Figure placement | Accept / Move X to step Y / Add at step Z |
| Polish issue | "Accept suggestion" / "Revise — [counter-proposal]" / "Skip — not relevant" |
| Proceed | "Confirmed → next" / "Let me revise this" |
Every prompt to the user MUST end with a set of clickable options. L0 and L1 each specify which options apply at which step.
Polish Mode
When polishing an existing draft, HLS documents MUST be generated — not just discussed verbally.
- If no L0/L1 exists — read draft → extract implicit HLS → critical think silently (identify issues, form 2-3 suggestions) → present to user → discuss → write
docs/systematic-research/plans/stream-L0.mdandstream-L1.md→ commit - If L0/L1 exist — critical review: points still valid? chains match draft? → critical think (2-3 issues + suggestions) → present → discuss → update L0/L1
- Invoke L2 — parallel revision following (revised) flow chains + writing guide
- Invoke L3 — consistency check (7 structural + prose checks). Polish complete when all checks pass.
Polish-lite (language only): User says "just polish the language" → use writing guide for voice/pitfalls → L2 revise prose → L3 consistency. Do NOT restructure.
Write Mode (Full HLS)
Standard flow: L0 → L1 → L2 → L3. Start from ideas, end with paper.
Hard Gates
<HARD-GATE-L0>
Do NOT proceed to L1 until: target venue determined, 6 core points written to `docs/systematic-research/plans/stream-L0.md`, each point discussed ONE AT A TIME and judged PASS, NOT rejected, user confirmed each point individually.
Do NOT batch all 6 points into a single message. Ask one → judge → user confirms → next.
**Every challenge MUST pass the causal test:** "would solving the root cause eliminate this?" Weak links = reject or remove the challenge.
</HARD-GATE-L0><HARD-GATE-L1>
Do NOT proceed to L2 until: each Section proposed ONE AT A TIME, name confirmed, A→B→C flow chain defined and confirmed, figures placed, L1 document accumulated incrementally and user approved.
Do NOT present all Sections at once. Propose Section N → discuss → confirm name → define chain → confirm chain → next Section.
</HARD-GATE-L1><HARD-GATE-L2>
Do NOT proceed to L3 until: skeleton copied to `paper/`, every Section drafted by its OWN parallel agent (all dispatched simultaneously, one per Section), each Section follows its L1 flow chain, abstract written (5-sentence formula, consistent with all Sections), user reviewed each Section.
Do NOT write Sections sequentially. Dispatch all Section agents at once.
</HARD-GATE-L2><HARD-GATE-L3>
Paper NOT complete until: all 7 consistency checks pass (6 structural + 1 fine-grained line-by-line prose polish), report shows zero issues.
</HARD-GATE-L3>Process Flow
digraph hls {
rankdir=TB;
"Start" [shape=oval];
"L0: Judge + Venue\n[l0-core-idea.md]" [shape=box];
"User OK?" [shape=diamond];
"Commit L0" [shape=box];
"L1: Architect\n[l1-chapter-structure.md]" [shape=box];
"User OK?" [shape=diamond];
"Commit L1" [shape=box];
"L2: Build\n[l2-parallel-writing.md]" [shape=box];
"User OK?" [shape=diamond];
"Commit L2" [shape=box];
"L3: Audit\n[l3-consistency-check.md]" [shape=box];
"7 checks pass?" [shape=diamond];
"Commit final" [shape=box];
"Done" [shape=oval];
"Start" -> "L0: Judge + Venue\n[l0-core-idea.md]";
"L0: Judge + Venue\n[l0-core-idea.md]" -> "User OK?"; "User OK?" -> "L0: Judge + Venue\n[l0-core-idea.md]" [label="no"];
"User OK?" -> "Commit L0" [label="yes"]; "Commit L0" -> "L1: Architect\n[l1-chapter-structure.md]";
"L1: Architect\n[l1-chapter-structure.md]" -> "User OK?"; "User OK?" -> "L1: Architect\n[l1-chapter-structure.md]" [label="no"];
"User OK?" -> "Commit L1" [label="yes"]; "Commit L1" -> "L2: Build\n[l2-parallel-writing.md]";
"L2: Build\n[l2-parallel-writing.md]" -> "User OK?"; "User OK?" -> "L2: Build\n[l2-parallel-writing.md]" [label="no"];
"User OK?" -> "Commit L2" [label="yes"]; "Commit L2" -> "L3: Audit\n[l3-consistency-check.md]";
"L3: Audit\n[l3-consistency-check.md]" -> "7 checks pass?"; "7 checks pass?" -> "L2: Build\n[l2-parallel-writing.md]" [label="no"];
"7 checks pass?" -> "Commit final" [label="yes"]; "Commit final" -> "Done";
}Quick Reference
| Level | Output | Key Action | Ref |
| L0 | docs/systematic-research/plans/stream-L0.md | Venue + judge 6 points, reject until clear | l0 |
| L1 | docs/systematic-research/plans/stream-L1.md | Propose 2-3 custom structures, define A→B→C chains | l1 |
| L2 | paper/ dir | Write: draft Sections + abstract. Polish: revise Sections + abstract following writing guide | l2 |
| L3 | Consistency report | Run 7 checks (6 structural + 1 prose), fix root causes. Polish-lite also runs L3 | l3 |
Git
git commit -m "L0: core idea for <topic>" # docs/systematic-research/plans/stream-L0.md
git commit -m "L1: structure for <topic>" # docs/systematic-research/plans/stream-L1.md
git commit -m "L2: draft for <topic>" # paper/
git commit -m "L3: final for <topic>" # paper/Red Flags
- "The core idea is clear enough, let's start writing" → return to L0
- "We can figure out the details while writing" → return to L0
- "This point is obvious, no need to write it down" → return to L0
- "We can't write anything until experiments are finished" → return to L0 (draft mode exists)
- "We can just make up placeholder numbers without marking them" → stop
- "One commit at the end is fine" → return to current level
- "I'll check consistency after the paper is accepted" → return to L3
- "We need three challenges to match three designs" → return to L0 (challenges are determined by evidence, not symmetry)
- "This challenge is related to the root cause somehow" → return to L0 (causal link must be direct, strong, and testable)
Anti-Patterns
- Writing before clarifying → L0 must be committed before any prose
- Soft judgement → use rejection criteria mechanically
- Editing skeleton in-place → copy to
paper/first; templates are read-only - Big bang commit → four commits, one per level
- Hardcoding paths → discover from venue, never assume skeleton location
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