A skill your agent uses when deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim, and what belongs in the…

MITAuto-check passedTesting & QA

Install Advmat Methods

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill advmat-methods -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills advmat-methods --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Advanced-Materials-Skills/skills/advmat-methods .claude/skills/advmat-methods && rm -rf skills-src

Use ~/.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/

Facts

Skill name
advmat-methods
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
613 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim, and what belongs in the…

  • Deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim
  • SKILL.md covers When to trigger, The multi-technique principle, Benchmarking is not optional and Body vs. Experimental Section…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • What belongs in the Experimental Section and Supporting Information

What it does

Advmat Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim, and what belongs in the Experimental Section and Supporting Information. Partitions and stress-tests methods; does not design figures or run analysis.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Load testing. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim
  • What belongs in the Experimental Section and Supporting Information

Example prompts

  • “/advmat-methods”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Advmat Methods loads about 1.5k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 613 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 613 words, ~1,511 tokens.

Download SKILL.mdSave it as .claude/skills/advmat-methods/SKILL.md (or your agent's skills folder).
name
advmat-methods
description
Use when deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim, and what belongs in the Experimental Section and Supporting Information. Partitions and stress-tests methods; does not design figures or run analysis.

Advanced Materials Methods & Characterization (advmat-methods)

When to trigger

  • Your structure or phase assignment rests on a single technique
  • A reviewer of a prior draft asked "how do you know it is this phase / this mechanism?"
  • The device metric has no benchmarking against comparable state-of-the-art systems
  • The Experimental Section sprawls, or you cannot tell what belongs in the body vs. the SI
  • Reproducibility is thin: batch-to-batch spread, synthesis provenance, or statistics are missing

The multi-technique principle

An Adv. Mater. claim about a material must be triangulated by complementary techniques, not asserted from one. A single XRD pattern or one TEM image is rarely enough; referees expect the structure–composition–property picture to close from several independent angles.

A practical characterization matrix (adapt to your material class):

Claim you are makingDo not rely on one technique — triangulate with
Crystal structure / phaseXRD (+ Rietveld) and electron diffraction (SAED) / HRTEM lattice
Morphology / size / architectureSEM and TEM (+ statistics over many particles, not one hero image)
Composition / oxidation stateXPS and EDS/EELS mapping and ICP-MS/AES for bulk stoichiometry
Local bonding / defectsRaman / FTIR / XAS (XANES/EXAFS), NMR where applicable
Optoelectronic propertyUV-vis / PL / TAS + the transport or device measurement it predicts
Electrochemical performanceCV + galvanostatic cycling + rate/stability data + post-mortem analysis

State uncertainties and sample counts. "n = 3 devices, mean ± s.d." beats a single best cell.

Benchmarking is not optional

Adv. Mater. device claims live or die on fair comparison to the state of the art. Put the comparison in the paper, on equal footing:

  • Compare against the best reported systems for the same function, under comparable conditions — cite them.
  • Report the metric with its measurement protocol (scan rate, illumination, active area, humidity) so it is comparable.
  • If you claim a record, show a benchmark table or plot (e.g. an efficiency-vs-stability or Ragone-style comparison) rather than a bare number.

Body vs. Experimental Section vs. Supporting Information

Detail typeMain text / Experimental SectionSupporting Information
Core synthesis route + key parametersExperimental Section (reproducible)full optimization sweeps
The decisive characterization proving the claimmain-text figureextended datasets, more samples
Device fabrication + measurement protocolExperimental Sectionfull protocols, control devices
Benchmarking vs. state of the artmain textfull comparison table + refs
Statistics on the headline metricmain text (n, mean ± s.d.)per-sample data, histograms
Instrument models / settingsExperimental Section (concise)exhaustive parameters

The Experimental Section must let a competent group reproduce the material. Detail that is essential-but-bulky (full recipes, calibration, secondary controls) goes to the SI and is cited inline.

Show full SKILL.md (203 more words)Show less

Rigor without bulk

  • Pre-empt the leading alternative explanation for your structure/property claim in the body, briefly, and point to the SI for the exhaustive checks.
  • Report purity/phase fraction, not just "phase-pure" as an adjective.
  • Give data-availability and, where relevant, computational details (see resources/external_tools.md for the DFT/simulation stack).

Checklist

  • Every structural/compositional claim is supported by ≥2 complementary techniques
  • Morphology/size claims carry statistics, not a single hero image
  • The headline metric is benchmarked against cited state-of-the-art systems, fairly
  • Device metrics report the full measurement protocol (area, conditions, scan rate)
  • The headline number carries a sample count and spread (n, mean ± s.d.)
  • The Experimental Section is reproducible; bulky detail is in the SI and cited
  • The leading alternative explanation is named and addressed

Anti-patterns

  • A single-technique structure claim ("XRD confirms the phase") with no corroboration
  • One flattering TEM/SEM image standing in for a distribution
  • A record metric with no benchmarking and no measurement conditions
  • Reporting one best device and hiding batch-to-batch variability
  • An Experimental Section too vague to reproduce, or so long it belongs in the SI
  • "Data available on request" instead of a concrete availability statement

Output format

【Central material claim】...
【Triangulation】technique 1 / technique 2 / technique 3 — sufficient?  yes / add: ...
【Morphology statistics】present?  yes / fix
【Benchmarking vs. SOTA】in main text, fair, cited?  yes / fix
【Metric statistics】n + spread stated?  yes / fix
【Reproducibility】Experimental Section reproducible?  yes / fix
【Next】advmat-figures (characterization figure) or advmat-supplementary (SI partition)

Data-availability, reproducibility, and characterization-reporting expectations evolve — verify current Wiley Advanced Materials policy on the official author page.

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Advanced-Materials-Skills/skills/advmat-methods of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Advmat Methods

What does Advmat Methods do?

A skill your agent uses when deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim, and what belongs in the…. Advmat Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim, and what belongs in the Experimental Section and Supporting Information.

When should I use Advmat Methods?

Advmat Methods fits situations like: deciding what characterization and experimental detail an Advanced Materials manuscript must show to prove its structure–property claim; what belongs in the Experimental Section and Supporting Information.

How do I install Advmat Methods in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill advmat-methods -a claude-code`. Or copy the skill folder (Advanced-Materials-Skills/skills/advmat-methods in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/advmat-methods in your project. Claude Code loads it when a task matches its description.

How do I install Advmat Methods in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill advmat-methods -a codex`. Or copy the skill folder (Advanced-Materials-Skills/skills/advmat-methods in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/advmat-methods in your project. Codex loads it when a task matches its description.

Can I use Advmat Methods in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill advmat-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/advmat-methods, .gemini/skills/advmat-methods, .github/skills/advmat-methods and .opencode/skills/advmat-methods in your project.

What does Advmat Methods need to run?

SKILL.md names no scripts, command-line tools or credentials: Advmat Methods is instructions for the agent only.

Does Advmat Methods access the network?

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.

Is Advmat Methods safe to install?

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.

What licence does Advmat Methods use?

Advmat Methods is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Advmat Methods use?

About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Advmat Methods?

Skills that share tags, products or a category with Advmat Methods: Get Available Resources (K-Dense-AI/scientific-agent-skills, 48k stars), What If Oracle (LeonChaoX/qinyan-academic-skills, 943 stars), Cpa Identification (franklee16/academic-research-skills, 223 stars) and Ecta Robustness (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Advmat Methods?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.