AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Serverless form handling on Netlify-hosted sites — detects HTML forms at deploy time, stores submissions, filters spam, and sends notifications. Use when adding a contact form, lead-capture form, file-upload form, or newsletter signup to a Netlify site; wiring AJAX form submission; setting up a custom thank-you page; adding a honeypot or reCAPTCHA to a form; getting forms working in Next.js, Nuxt, SvelteKit, Astro, or Gatsby; reading form submissions via the Netlify API; or debugging missing submissions and forms that silently fail to register.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Mark a form for detection with data-netlify="true" (or the bare netlify attribute — equivalent) on the <form> tag. Forms are detected by parsing the final built HTML at deploy time — there is no runtime API call or backend code. Client-side/JS-rendered/SSR forms are NOT in the built HTML and are never detected on their own; they require a static skeleton file (see below).
Prerequisite: form detection must be enabled once in the Netlify UI (Forms > Enable form detection). Takes effect on the next deploy.
<form name="contact" method="POST" data-netlify="true">
<p><label>Your Name: <input type="text" name="name" /></label></p>
<p><label>Your Email: <input type="email" name="email" /></label></p>
<p><label>Message: <textarea name="message"></textarea></label></p>
<p><button type="submit">Send</button></p>
</form>
name sets the form name in the UI and must be unique per site.data-netlify/netlify attribute and injects <input type="hidden" name="form-name" value="contact" />.<input name="email"> so the notification email's Reply-to is set to the submitter.Two required pieces:
1. Static skeleton file public/__forms.html — a hidden copy of each form with data-netlify="true", a hidden form-name input, and every field the component submits, with names matching exactly (Netlify validates field names against the registered form). Without this file, submissions silently fail.
<!-- public/__forms.html -->
<form name="pizzaOrder" data-netlify="true" hidden>
<input type="hidden" name="form-name" value="pizzaOrder" />
<input name="order" type="text" />
</form>
2. The rendered form carries a matching hidden form-name input:
<form name="pizzaOrder" method="post" data-netlify="true" onSubmit={handleSubmit}>
<input type="hidden" name="form-name" value="pizzaOrder" />
<input name="order" type="text" onChange={handleChange} />
<input type="submit" />
</form>
⚠️ SSR POST target: In SSR apps, fetch("/") is intercepted by the SSR catch-all function and never reaches form processing. POST to the static skeleton file itself — /__forms.html — not / or an arbitrary path.
⚠️ Astro on-demand routes: Routes with export const prerender = false or output: "server" are never scanned at build time, so their forms are never registered. Put the form on a prerendered page, or rely on the static skeleton file.
Next.js Runtime v5 (Next.js 13.5+): extract form definitions to the static skeleton file and submit via AJAX rather than full-page navigation. See https://docs.netlify.com/build/frameworks/framework-setup-guides/nextjs/overview#v5-breaking-changes
const handleSubmit = event => {
event.preventDefault();
const formData = new FormData(event.target);
fetch("/__forms.html", { // static sites may POST to "/"; SSR must target the skeleton file
method: "POST",
headers: { "Content-Type": "application/x-www-form-urlencoded" },
body: new URLSearchParams(formData).toString()
})
.then(() => alert("Thank you for your submission")) // or navigate("/thank-you")
.catch(error => alert(error));
};
document.querySelector("form").addEventListener("submit", handleSubmit);
form-name input, you MUST include a form-name field in the POST body.g-recaptcha-response (if used) must be in the body — automatic with FormData().Add type="file"; optionally enctype="multipart/form-data" on the <form>. For AJAX file uploads, do NOT set a Content-Type header — let the browser set it (with the multipart boundary).
document.forms.fileForm.addEventListener("submit", event => {
event.preventDefault();
fetch("/", { body: new FormData(event.target), method: "POST" }) // no headers
.then(() => { /* success */ });
});
Limits: one file per field (use multiple fields for multiple files) · 8 MB max request size · 30 s upload timeout · after form deletion, uploaded files stay at their direct URL for 24 h. PII uploads need extra security (Very Good Security integration).
Add an action path relative to site root, starting with /. Use extensionless paths — Netlify serves thank-you.html at /thank-you; the .html path returns 404.
<form name="contact" action="/thank-you" method="POST" data-netlify="true"></form>
Custom success alert is only possible via AJAX (substitute the redirect with your own logic).
All submissions are filtered by Akismet. Passed → Verified submissions; flagged → Spam submissions. Honeypot/reCAPTCHA failures are rejected and appear in neither list.
Honeypot: add netlify-honeypot="bot-field" to the <form> and include a CSS-hidden field of that name. Any value entered → submission quietly rejected.
<form name="contact" method="POST" netlify-honeypot="bot-field" data-netlify="true">
<p class="hidden"><label>Don’t fill this out: <input name="bot-field" /></label></p>
<!-- real fields -->
</form>
Netlify reCAPTCHA 2: add data-netlify-recaptcha="true" to the <form> AND an empty <div data-netlify-recaptcha="true"></div> where it renders. Only ONE Netlify-provided challenge per page — for multiple, use custom reCAPTCHA. For JS-rendered forms, also add the div to the static skeleton file.
Custom reCAPTCHA 2: your own reCAPTCHA snippet + data-netlify-recaptcha="true" on the <form>, plus env vars:
SITE_RECAPTCHA_KEY — site key (scopes: Builds + Runtime)SITE_RECAPTCHA_SECRET — secret (scope: Runtime)Default sender: formresponses@netlify.com. Set subject via a hidden subject input or the Netlify UI (Configuration > Notifications) — not both; the HTML value always overrides the UI.
<input type="hidden" name="subject" value="New lead from %{formName} (%{submissionId})" />
Variables: %{formName}, %{siteName}, %{submissionId}. Forms created before May 5, 2023 carry a [Netlify] subject prefix — remove it by adding the data-remove-prefix attribute to the subject input.
Set up notifications (email/webhook/Slack) in the UI: Configuration > Notifications > Form submission notifications > Add notification.
Use only documented surfaces. Do NOT invent api.netlify.com endpoints or read tokens from local CLI config files. Reference: https://open-api.netlify.com/#tag/submission/operation/listFormSubmissions
Link header — code that reads only the first response silently drops the rest.listFormSubmissions returns data from old/removed fields no longer shown in the UI.?state=spam.The UI summary is derived from field type, not name:
<input> that isn't email-like (type="email", or name matching email/mail/from/twitter/sender); falls back to a field named title or subject.<textarea>.Field order in the HTML affects what appears in the summary.
?state=spam) and mark it verified. Do NOT build a custom recovery function or disable spam filtering as a first resort.test@test.com), write full sentences, don't hammer from one IP./.hidden instead of removing them to keep them visible; old data remains available via listFormSubmissions.404, past submissions become unavailable. Export CSV first.<script> → escaped entities).These are org conventions and field-learned guardrails, not docs facts — they are merged into the rendered skill by ctx-gen and are never generated. Extracted from the previous hand-written netlify-forms skill; owned by the skills maintainer.
fetch("/") is intercepted
by the SSR catch-all function and never reaches Netlify's form processing.
POST the AJAX submission to the static skeleton file itself (e.g.
/__forms.html), not to an arbitrary path.https://api.netlify.com/...
with an invented endpoint shape, and do not read tokens out of local CLI
config files (~/Library/Preferences/netlify/config.json).Link
header); code that reads only the first response silently drops the rest.public/__forms.html: a hidden copy of each form with
data-netlify="true", a hidden form-name input, and every field the
component submits — names matching exactly (Netlify validates field names
against the registered form). Without this file, submissions silently fail.export const prerender = false, or
output: "server" routes) are never scanned at build time, so their forms
are never registered. Put the form on a prerendered page or rely on the
static skeleton file.?state=spam) and mark it verified.
Do not build a custom recovery function or disable spam filtering as a
first resort.action paths (/thank-you,
not /thank-you.html) — Netlify serves thank-you.html at /thank-you
and the .html path returns 404.This skill is written to stay usable across GitHub Copilot, Claude Code, and Codex.
$CODEX_HOME/skills/netlify-forms and restart Codex after major changes.Preferred MCP Server: None required
netlify-forms outside its documented task boundary.Before claiming the netlify-forms workflow succeeded:
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概要と使いどころ
AI-powered adeno-associated virus (AAV) vector design for gene therapy including capsid engineering, promoter selection, and tropism optimization.
日本語の概要は準備中です。原文の説明を表示しています。
Improve the clarity and voice of AI-assisted academic writing (papers, theses, rebuttals) and
日本語の概要は準備中です。原文の説明を表示しています。
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, audit my rebuttal, check my response draft, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見, 評估回覆, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견 반영, 답변서 점검, AI 사용 고지.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript. Use when users want to: (1) write a paper from a detailed outline, (2) ensure quality control during writing, (3) maintain consistency across chapters, (4) prepare a submission-ready manuscript, or (5) systematically execute a planned paper. Triggered by phrases like 'write the paper from this outline,' 'compose the full manuscript,' 'execute the outline,' or when users have completed strategic planning (academic-paper-strategist skill) and are ready to write. Takes optimized outline as input; outputs complete manuscript with iterative quality checks.
日本語の概要は準備中です。原文の説明を表示しています。
Multi-perspective academic paper review with dynamic reviewer personas. Runs a 5-seat, role-separated review panel (Journal-Fit Reviewer + 3 peer-review roles + Devil's Advocate) with field-specific expertise; role separation is not a claim of independent error processes. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy, 審查論文, 論文審查, 模擬審查, 同儕審查, 幫我審這篇, 以審查人角度評估, 審查者校準, 논문 심사, 동료 심사, 모의 심사, 심사자 관점에서 평가, 심사자 보정.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic strategic planning framework for philosophy and interdisciplinary academic papers targeting preprint platforms (PhilArchive, arXiv, PhilSci-Archive). Use when users want to: (1) plan a paper on a specific topic, (2) identify research gaps and assess originality, (3) develop optimized paper outlines, (4) prepare for preprint submission, or (5) understand platform requirements and writing standards. Triggered by phrases like 'plan a paper on,' 'help me design a paper about,' 'identify research gaps in,' 'is this idea original,' or when users need structured research planning. The skill guides through three phases: Platform Analysis (identifying target venue and studying sample papers), Theoretical Framework (AI-driven literature search and gap identification), and Outline Optimization (structured design with reviewer-perspective self-assessment). Each phase includes quality evaluation standards and validation checkpoints.
日本語の概要は準備中です。原文の説明を表示しています。