Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
A skill your agent uses when writing or revising Introduction, Related Work, background, literature synthesis, or any section where references must drive claims
$ npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Norman-bury/research-writing-skill evidence-driven-writing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/evidence-driven-writing .claude/skills/evidence-driven-writing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "evidence-driven-writing" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/evidence-driven-writing into .claude/skills/evidence-driven-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-driven-writing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Norman-bury/research-writing-skill/tree/main/skills/evidence-driven-writingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Norman-bury/research-writing-skill evidence-driven-writing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/evidence-driven-writing .agents/skills/evidence-driven-writing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "evidence-driven-writing" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/evidence-driven-writing into .agents/skills/evidence-driven-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-driven-writing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Norman-bury/research-writing-skill evidence-driven-writing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/evidence-driven-writing .cursor/skills/evidence-driven-writing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "evidence-driven-writing" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/evidence-driven-writing into .cursor/skills/evidence-driven-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-driven-writing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Norman-bury/research-writing-skill.git --path skills/evidence-driven-writing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Norman-bury/research-writing-skill evidence-driven-writing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/evidence-driven-writing .gemini/skills/evidence-driven-writing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "evidence-driven-writing" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/evidence-driven-writing into .gemini/skills/evidence-driven-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-driven-writing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Norman-bury/research-writing-skill evidence-driven-writingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/evidence-driven-writing .github/skills/evidence-driven-writing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "evidence-driven-writing" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/evidence-driven-writing into .github/skills/evidence-driven-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-driven-writing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Norman-bury/research-writing-skill evidence-driven-writing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Norman-bury/research-writing-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/evidence-driven-writing .opencode/skills/evidence-driven-writing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "evidence-driven-writing" agent skill from https://github.com/Norman-bury/research-writing-skill/tree/main/skills/evidence-driven-writing into .opencode/skills/evidence-driven-writing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "evidence-driven-writing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
evidence-driven-writingA skill your agent uses when writing or revising Introduction, Related Work, background, literature synthesis, or any section where references must drive claims
Evidence Driven Writing is an agent skill from Norman-bury/research-writing-skill. Use when writing or revising Introduction, Related Work, background, literature synthesis, or any section where references must drive claims
Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/gpr-introduction-example.md`).
It sits in Research & Science, covering Literature review. The repository describes itself as: 科研写作助手 (Research Writing Assistant). The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6f79595. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Evidence Driven Writing loads about 952 tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 465 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Norman-bury/research-writing-skill at commit 6f79595, republished under its MIT licence (© Norman-bury). 465 words, ~952 tokens.
.claude/skills/evidence-driven-writing/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.This skill turns a literature pool into manuscript argument. It is required for Introduction, Related Work, and any background section with citations.
Do not write the section until an evidence map and paragraph blueprint exist.
Required artifacts:
refs/evidence-map.md or plan/evidence-map.mdplan/chapter-blueprints/<section>-blueprint.mdplan/review/evidence-coverage.mdCreate one row per usable source:
| Source ID | Citation | Source type | Abstract-level finding | Usable fact | Supported claim | Citation slot | Risk |
|---|
Rules:
Risk: indirect.For each paragraph, define:
### Paragraph N
- Role: context / method landscape / limitation / gap / contribution
- Main claim:
- Evidence IDs:
- Contrast or transition:
- Forbidden content:Only after the blueprint is complete may manuscript prose be written.
A publishable technical Introduction usually follows this chain:
For computer science / engineering SCI drafts, integrate the most relevant related-work synthesis into the Introduction unless the locked outline explicitly requires a standalone Related Work chapter. The section must read as an argument: field pressure, existing routes, unresolved bottleneck, proposed position, and contribution boundary.
Do not end the Introduction with a long mechanical chapter map. One concise manuscript-organization paragraph is enough.
Organize by theme, not by chronological paper dump:
User requirements and process notes must not enter manuscript text. Phrases such as "write naturally", "avoid generic wording", "discussion prompt", "fill later", "user should replace", and "this section is a template" belong in plan files, never in chapters.
Compression is not deletion. When shortening, preserve the claim, evidence, method condition, and limitation.
Literature-driven sections fail review if they read like a sequence of source notes. Each paragraph must synthesize at least two of the following:
If a paragraph can be converted into a table row without losing meaning, it is not yet manuscript prose.
For a reusable example of literature-driven argument structure extracted from the user's GPR passage, read references/gpr-introduction-example.md. Use it as a pattern, not as content for unrelated papers.
© Norman-bury, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/evidence-driven-writing of Norman-bury/research-writing-skill.
Open the folder on GitHubat commit 6f79595
Evidence Driven Writing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Evidence Driven Writing this skillNorman-bury/research-writing-skill | 3.4k | — | ~952 | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Preprint Search on bioRxivLigphiDonk/Oh-my--paper | 739 | 12 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence |
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
LigphiDonk/Oh-my--paper
Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Norman-bury/research-writing-skill
A skill your agent uses when Python environment setup is needed for data visualization or conda installation is required
Norman-bury/research-writing-skill
A skill your agent uses when designing experiments, result tables, mock planning data, evaluation protocols, or results sections before real data are final
Norman-bury/research-writing-skill
A skill your agent uses when creating flowcharts, architecture diagrams, or conceptual diagrams - generates prompts for image AI
Norman-bury/research-writing-skill
A skill your agent uses when creating data visualizations for papers - generates publication-quality plots with top-journal color schemes
Norman-bury/research-writing-skill
A skill your agent uses when user requests LaTeX format output or has provided school/journal LaTeX templates
Norman-bury/research-writing-skill
A skill your agent uses when writing literature review sections - guides searching, organizing, and synthesizing academic sources
Categories
A skill your agent uses when writing or revising Introduction, Related Work, background, literature synthesis, or any section where references must drive claims. Evidence Driven Writing is an agent skill from Norman-bury/research-writing-skill.
Evidence Driven Writing fits situations like: revising Introduction; literature synthesis; any section where references must drive claims.
Run `npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a claude-code`. Or copy the skill folder (skills/evidence-driven-writing in Norman-bury/research-writing-skill) into .claude/skills/evidence-driven-writing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a codex`. Or copy the skill folder (skills/evidence-driven-writing in Norman-bury/research-writing-skill) into .agents/skills/evidence-driven-writing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Norman-bury/research-writing-skill --skill evidence-driven-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/evidence-driven-writing, .gemini/skills/evidence-driven-writing, .github/skills/evidence-driven-writing and .opencode/skills/evidence-driven-writing in your project.
SKILL.md names no scripts, command-line tools or credentials: Evidence Driven Writing is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Evidence Driven Writing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 952 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 861 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Evidence Driven Writing: Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Norman-bury (a GitHub user) maintains it in Norman-bury/research-writing-skill, which has 3,384 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on June 10, 2026.
Source: Norman-bury/research-writing-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.