A skill your agent uses when targeting Optica or deciding whether an optics-and-photonics manuscript fits this venue.

MITAuto-check passed

Install Optica

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills optica --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/Engineering-Technology-Journal-Skills/skills/optica .claude/skills/optica && 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
optica
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
864 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Optica or deciding whether an optics-and-photonics manuscript fits this venue.

  • Targeting Optica
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether an optics-and-photonics manuscript fits this venue

What it does

Optica is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Optica or deciding whether an optics-and-photonics manuscript fits this venue. Encodes the journal's fit, the high-impact concise-advance bar, measurement and characterization rigor, house style, the Optica-vs-specialty-journal routing, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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

  • Targeting Optica
  • Deciding whether an optics-and-photonics manuscript fits this venue

Example prompts

  • “/optica”

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

Optica loads about 1.9k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 864 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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). 864 words, ~1,947 tokens.

Download SKILL.mdSave it as .claude/skills/optica/SKILL.md (or your agent's skills folder).
name
optica
description
Use when targeting Optica or deciding whether an optics-and-photonics manuscript fits this venue. Encodes the journal's fit, the high-impact concise-advance bar, measurement and characterization rigor, house style, the Optica-vs-specialty-journal routing, official-submission re-check, and desk-reject heuristics.

Optica (optica)

Journal positioning

Optica is the Optica Publishing Group (formerly OSA) flagship for the highest-impact research across the whole of optics and photonics, presented in a deliberately concise high-impact format. The journal selects for significant, broadly interesting advances — a result that moves a subfield and is appreciated by the wide optics community — rather than thorough but incremental progress that belongs in a specialty title. Selectivity and brevity are the defining traits: a paper must earn space by combining genuine novelty with broad interest, and a complete-but-narrow study is a poor fit even when technically sound. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official author guidelines. Before submitting, re-check the live Optica author information on the Optica Publishing Group site.

When to trigger

  • The author names Optica as the target for an optics or photonics result and wants a fit/framing and breadth check.
  • A technically strong photonics result must be re-framed from a specialty-depth report into a concise, broadly significant Optica advance.
  • The author is choosing between Optica and a specialty Optica Publishing Group title (Optics Express, Optics Letters, Photonics Research) or light-science-and-applications.
  • The author needs Optica's brevity-and-breadth bar and its desk-reject heuristics.

Scope & topic fit

  • Nanophotonics, metamaterials, and metasurfaces where a new optical mechanism or capability — not just a fabricated structure — is demonstrated.
  • Integrated and silicon photonics, optical frequency combs, and on-chip light sources when the advance reshapes what is achievable in performance or function.
  • Quantum optics and quantum photonics: sources, detectors, and protocols with a measured advance of broad interest beyond the quantum-optics community.
  • Ultrafast optics, nonlinear optics, and laser physics with a clearly articulated, field-moving result rather than incremental parameter optimization.
  • Optical imaging, microscopy, sensing, and spectroscopy when the optical method (not the application domain) carries a transferable advance.
  • Fiber optics and optical communications where the contribution is a fundamental photonics insight or capability, not a system engineering increment.

Method & evidence bar

  • The central claim must be a significant, broadly interesting advance, stated up front; breadth of interest is a gating criterion, not a bonus.
  • Optical measurements must be quantitative and rigorous: report wavelengths, bandwidths, efficiencies, losses, signal-to-noise, and uncertainty with the controls that rule out artifacts.
  • Performance claims must be benchmarked against the current state of the art under comparable, clearly stated conditions, not against a weakened reference.
  • Where a device or structure is fabricated, characterization must demonstrate the claimed optical function directly, not infer it from design alone.
  • Theory and simulation must be tied to measurement or make a tested, falsifiable prediction; a modeling-only result rarely clears the bar here.
  • Reproducibility: fabrication, measurement setup, and data-reduction steps reported in enough detail (main text plus supplement) to reproduce the key numbers.

Structure & house style

  • Optica publishes concise high-impact research; the article is short by design, so the abstract and opening must state the advance and its breadth immediately — re-check current article types and length expectations on the live guide.
  • The introduction frames the broad-interest gap and why the result matters across optics, not only to the immediate sub-community.
  • Figures are load-bearing and few: each main-text figure should carry an essential piece of the central advance, with quantitative axes, error bars, and clear controls.
  • Supplementary material holds extended derivations, fabrication detail, and additional characterization; the main text must stand alone for the headline claim.
  • A short, accessible summary of significance helps a broad optics readership grasp the contribution.
Show full SKILL.md (295 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the Optica Publishing Group anchors, then cite the current Optica author-information page you checked.
  • Search the live site for "Optica journal author guidelines" and follow the current Optica Publishing Group submission system.
  • Re-check article types and the concise length/figure limits, and the abstract requirements specific to the high-impact format.
  • Confirm the data-availability policy and any code/data deposition expectations.
  • Re-check open-access options, ORCID, competing-interests, funding, author-contribution, and AI-use disclosure requirements.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence states why this advance is of broad interest across optics, not only to the immediate sub-community.
  • The result is novel and field-moving, not a thorough-but-incremental specialty report.
  • Optical metrics are quantitative, with uncertainty and artifact-ruling controls.
  • Performance is benchmarked against the current state of the art under comparable conditions.
  • The manuscript fits Optica's concise format with load-bearing main-text figures only.
  • Any theory/simulation is anchored to measurement or makes a tested prediction.

Common desk-reject triggers

  • Technically sound but narrow result with no broad interest — a specialty-journal paper.
  • Incremental performance optimization of a known photonic device with no conceptual or capability leap.
  • Fabrication-and-characterization report where the claimed optical function is inferred from design, not measured.
  • Performance claims not benchmarked, or benchmarked against a weak reference under non-comparable conditions.
  • Modeling/simulation-only study with no experimental anchor or tested prediction.
  • Over-long, depth-first manuscript that ignores the concise high-impact format.

Re-routing decision

  • Complete, rigorous, but narrower optics result → Optics Express / Optics Letters / Photonics Research (Optica Publishing Group specialty titles).
  • High-impact photonics with Nature-style significance framing → light-science-and-applications.
  • Authoritative review or review-leaning original photonics → laser-and-photonics-reviews.
  • Broadest-significance photonics for a general-science audience → nature-photonics or nature-communications / science-advances.
  • Photonic device whose advance is materials-driven → nature-materials / advanced-materials.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Optica
[Topic tags] <2–3 closest optics/photonics subtopics>
[Broad-interest case] <why this advance matters across optics in one line>
[Method/evidence] <do the optical measurements + benchmarking clear Optica's significance + rigor bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / concise length / data policy / OA / disclosures>
[Re-route suggestion] <if too narrow or better framed elsewhere, a matched venue>

© 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 Engineering-Technology-Journal-Skills/skills/optica of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Optica 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.

Optica compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Optica this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.9kAutomated safety check: PassMIT
Touch Targetsthedaviddias/Front-End-Checklist74k—~938Automated safety check: PassMIT
Implementing Mimecast Targeted Attack Protectionmukul975/Anthropic-Cybersecurity-Skills34k—~1.8kAutomated safety check: PassApache-2.0
Target Journalbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~1.1kAutomated safety check: PassCustom licence
Workflow Score To TargetMengTo/Skills6.7k—~1.3kAutomated safety check: PassMIT
Open Targets DBaipoch/medical-research-skills1.9k—~1.6kAutomated safety check: PassMIT

Similar skills

  • Touch Targets

    thedaviddias/Front-End-Checklist

    A skill your agent uses when applies to all interactive elements on touchscreen interfaces: buttons, links, checkboxes, radio buttons, form inputs, icon buttons, and menu items.

    74k GitHub stars~938 tokensUpdated 3 days ago
    MobileAuto-check passed
  • Implementing Mimecast Targeted Attack Protection

    mukul975/Anthropic-Cybersecurity-Skills

    Deploys and configures Mimecast Targeted Threat Protection (TTP) modules -- URL Protect (click-time URL rewriting/analysis), Attachment Protect (sandbox detonation), Impersonation Protect…

    34k GitHub stars~1.8k tokensUpdated 1 mo ago
    Documents & OfficeAuto-check passed
  • Target Journal

    brycewang-stanford/Auto-Empirical-Research-Skills

    Journal targeting analysis for the sewage-house-prices paper.

    4.6k GitHub stars~1.1k tokensUpdated 4 days ago
    Research & ScienceAuto-check passed
  • Score work out of 10 against a clear rubric, then improve it round by round until every item reaches the target score the user named (for example "get it to 8 out of 10", "bring everything under 6…

    6.7k GitHub stars~1.3k tokensUpdated 3 days ago
    EducationAuto-check passed
  • Open Targets DB

    aipoch/medical-research-skills

    Query the Open Targets Platform to retrieve targets, diseases, or evidence records when you need target-disease association data and evidence-based scores for therapeutic discovery.

    1.9k GitHub stars~1.6k tokensUpdated 23 days ago
    Research & ScienceAuto-check passed
  • Nature Photonics

    franklee16/academic-research-skills

    A skill your agent uses when targeting Nature Photonics (Nat Photonics) or deciding whether an optics or photonics manuscript fits this high-impact, broad-significance Nature-family venue.

    223 GitHub starsUsed in 1 repo~2.1k tokens
    Auto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 13 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 13 days ago
    Auto-check passed

Questions about Optica

What does Optica do?

A skill your agent uses when targeting Optica or deciding whether an optics-and-photonics manuscript fits this venue. Optica is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Optica or deciding whether an optics-and-photonics manuscript fits this venue.

When should I use Optica?

Optica fits situations like: targeting Optica; deciding whether an optics-and-photonics manuscript fits this venue.

How do I install Optica in Claude Code?

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

How do I install Optica in Codex?

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

Can I use Optica 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 optica -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/optica, .gemini/skills/optica, .github/skills/optica and .opencode/skills/optica in your project.

What does Optica need to run?

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

Does Optica 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 Optica 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 Optica use?

Optica 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 Optica use?

About 1.9k tokens (SKILL.md is roughly 7.8k 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 Optica?

Skills that share tags, products or a category with Optica: Touch Targets (thedaviddias/Front-End-Checklist, 74k stars), Implementing Mimecast Targeted Attack Protection (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Target Journal (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars) and Workflow Score To Target (MengTo/Skills, 6.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Optica?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.