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「form」の検索結果

1.5万 件 ・ 関連度順

概要と使いどころ

Bundle optimization, render performance, Core Web Vitals

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。

agents-inc/skills242026年10月17日 更新

React Native performance profiling, optimization, and monitoring - JS/UI thread analysis, re-render prevention, list optimization, image performance, bundle size, startup time, memory leaks, React Compiler, New Architecture benefits

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。

agents-inc/skills242026年10月17日 更新

Netlify deployment platform — serverless functions, edge functions, redirects, forms, Blobs, build plugins

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。

agents-inc/skills242026年10月17日 更新

Use when hosting, deploying, or operating an app on the Prisma Platform: projects, branches, preview environments, services and their versions, Prisma Postgres databases, object-store buckets, environment variables, custom domains, logs, or the GitHub integration. Triggers on "Prisma Platform", "Prisma Compute", "Prisma Postgres", "Prisma Storage", "preview environment", `prisma deploy`, `prisma dev`, `prisma auth`, `prisma project`, `prisma branch`, `prisma service`, `prisma postgres`, `prisma bucket`, `prisma git`, `prisma.config.ts`, promote, rollback.

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。

prisma/prisma-cli232026年10月16日 更新

Detects insecure platform interaction in mobile apps (Android/iOS). Trigger on: exported Activity, exported Service, exported BroadcastReceiver, Content Provider, Intent injection, deep link hijacking, WebView JavaScript enabled, JavascriptInterface, addJavascriptInterface, setJavaScriptEnabled, intent:// scheme, file:// scheme, WKWebView, WKScriptMessageHandler, UIPasteboard, URL scheme hijacking, Universal Links, PendingIntent, FLAG_IMMUTABLE, overlay attack, tapjacking, screenshot prevention, FLAG_SECURE, Broadcast sniffing, IPC data exposure. Covers MASVS-PLATFORM-1/2/3.

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。

ShulkwiSEC/bb-huge232026年7月11日 更新

Format string exploitation playbook. Use when printf-family functions receive user-controlled format strings, enabling arbitrary stack reads (%p/%s), arbitrary memory writes (%n/%hn/%hhn), GOT/hook overwrites, and canary/libc/PIE leaks.

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。

ShulkwiSEC/bb-huge232026年7月11日 更新

Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

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。

gaia-research/gaia-skill-tree232026年10月17日 更新

forms-pro

無料

Build excellent web forms: UX patterns, validation, accessibility, multi-step flows, and file uploads. Use for any form beyond trivial inputs.

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。

aicodedecode/awesome-muse-skills232026年10月10日 更新

Application performance monitoring — transactions, profiling, and finding slow code — works with any APM platform.

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。

aicodedecode/awesome-muse-skills232026年10月10日 更新

Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why, AI policy for the marketing team, AI governance, AI acceptable use policy, which AI tools are we allowed to use, can I paste customer data into ChatGPT, shadow AI, AI use register, human review of AI output, when can we stop reviewing every AI draft, can the agent send on its own, the AI made a mistake now what, pull back AI autonomy, AI evals, our AI vendor changed the model, AI output went out wrong, prompt injection, can our AI read prospect replies safely, lethal trifecta, the AI leaked internal notes, turn off auto-generated ad assets, auto-applied recommendations, AI literacy training, EU AI Act Article 4, duplicate records in the CRM, dedupe before import, which value wins in a merge, CRM cleanup.

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。

shalintripathi/saas-marketing-agents232026年10月17日 更新

Explains DSP math concepts to developers who need the theory behind an algorithm. Use whenever the user asks how a signal-processing concept works, wants intuition behind a formula, or hits a math-shaped bug. Trigger on phrases like "how does a Fourier transform work", "explain z-transforms", "what is convolution", "why does my biquad ring", "what is windowing for", "what causes aliasing", or "how do I convert gain to dB". Also trigger when the user pastes DSP code and asks why it behaves a certain way.

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。

kunitoki/sonic-skills222026年5月21日 更新

Use Terraform/IaC for Volcengine resources only when the user explicitly chooses Terraform/IaC, already has a Terraform workflow/state, or confirms they need plan/diff/drift/destroy safety for VKE, managed databases/cache/storage, load balancers, domains/certificates, logging/monitoring, or team-managed infrastructure.

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。

volcengine/volcengine-skills222026年10月12日 更新

Unity 6 performance profiling and optimization guide. Use when profiling, optimizing frame rate, reducing memory usage, debugging performance bottlenecks, or using the Profiler, Memory Profiler, or Frame Debugger. Based on Unity 6.3 LTS documentation.

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。

IdoCohen560/claude-unity-game-studio222026年7月8日 更新

MemoryPack high-performance binary serialization for Unity including custom formatters, versioning, and performance patterns.

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。

IdoCohen560/claude-unity-game-studio222026年7月8日 更新

Write long-form thought leadership articles, opinion pieces, industry POV essays, and CEO/founder bylines using the Made to Stick SUCCESs framework (Chip and Dan Heath). Use when the user asks for a long-form article, executive byline, opinion piece, industry POV, manifesto, "explain our point of view on X", or wants to publish an authority-building piece (1200-2500 words). Reads brand voice and positioning from knowledge/. For a short-form post, see linkedin-post. For the newsletter, see newsletter-writer. For improving an existing draft, see copy-review.

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。

qa-aman/claude-skills212026年10月13日 更新

Write a high-performing LinkedIn post in the user's brand voice using Hook-Story-Offer (Russell Brunson) and the Curiosity Gap hook method (George Loewenstein). Every post starts by selecting a named hook formula - specific number + surprising result, contrarian statement, personal confession, direct challenge, or before/after. Use when the user asks for a LinkedIn post, LinkedIn update, LinkedIn content, "post for LinkedIn", thought-leadership post, founder post, or short professional social content. Reads brand voice and ICP from knowledge/ so output sounds like the company, not generic AI. For long-form opinion pieces, see thought-leadership-writer. For the monthly posting plan, see social-calendar. For turning one asset into many posts, see content-repurposer.

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。

qa-aman/claude-skills212026年10月13日 更新

Use when a task needs the judgment of a Computer and Information Systems Manager (IT Manager/Director/CIO-adjacent) — planning IT infrastructure and systems strategy, evaluating a technology vendor or platform decision, allocating an IT budget, or managing IT risk (security, uptime, technical debt) at an organizational level. Broader than the devops-sre or software-engineer roles — this one owns IT as a business function, not a specific engineering discipline.

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。

wonsukchoi/domain-experts212026年10月12日 更新

Use when a task needs the judgment of a Bioinformatics Scientist — designing a differential-expression or GWAS analysis with correct multiple-testing correction, calling and triaging variants from NGS data using genotype-likelihood confidence rather than raw allele counts, interpreting a BLAST/DIAMOND homology search, choosing or building a genomics pipeline (aligner, caller, normalization method) for a specific data-generating process, or judging whether a computational-biology analysis's statistical design actually supports the biological claim being made. Distinct from a bioinformatics-technician (executes and QC-gates an established pipeline someone else designed) and a data-scientist (general product/experimentation judgment, not genomics-specific statistics) — this role owns which method and statistical model a genomics question requires, and why.

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。

wonsukchoi/domain-experts212026年10月12日 更新

Track exact provenance for every operation on ENCODE data — tool versions, reference files, scripts, parameters, and timestamps — to enable publication-ready methods writing. Use when the user processes ENCODE files, runs any bioinformatics tool, creates filtered/merged datasets, runs pipelines, performs liftover, uses R/Python/Bash for analysis, or needs to document their analysis chain for reproducibility and publication. Also use when the user says "write me methods" to auto-generate methods sections from the provenance log. This skill implements comprehensive provenance documentation: every tool, every version, every reference file, every parameter, every accession — no shortcuts. Use this skill for ANY processing step, ANY file transformation, ANY analysis operation on ENCODE data.

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。

ammawla/encode-toolkit212026年9月27日 更新

Access ENCODE uniform analysis pipelines, generate user-specific Nextflow/WDL pipelines, manage compute resources, and integrate with cloud platforms. Use when the user wants to understand ENCODE pipelines, run pipelines on their own data, generate custom Nextflow workflows from ENCODE pipeline code, check compute requirements (CPU/GPU/memory), run pipelines in background, or integrate with Google Cloud, AWS, or other cloud platforms. Also use when the user asks about ENCODE pipeline outputs, processing standards, software versions, or wants to replicate ENCODE processing. Covers local execution, HPC, and cloud deployment with resource-aware scheduling. Use this skill for ANY pipeline execution, workflow generation, or compute resource management task involving ENCODE data.

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。

ammawla/encode-toolkit212026年9月27日 更新

Firmware development for the 40-pin "Black Pill"-format board with an STM32F401RCT6 (STM32F401RC, LQFP64, 256 KB flash, 64 KB RAM, 84 MHz) that ships with the WeAct Studio HID Bootloader (USB 0483:572A, flash 0x08000000-0x08003FFF, app at 0x08004000) — its PC13 LED, KEY button on PA0, 25 MHz HSE, USB-C on USB_OTG_FS, and the PlatformIO + STM32Cube HAL setup around them, including a USB CDC virtual COM port for printf debugging. Use when working on this board, an unbranded F401RCT6 Black Pill clone, or any STM32F401/F411 board that enumerates as "WeAct Studio HID Bootloader": project setup, platformio.ini, linking at 0x08004000, flashing through the HID bootloader or ROM DFU, the app starting behind a bootloader (VTOR, SysTick, clock hand-off), clock/PLL configuration for 84 MHz plus 48 MHz USB, printf/serial console over USB (no /dev/cu or COM port), a blink that never starts or hangs in HAL_Delay, entering or recovering the bootloader, or debugging why something on the board does not work.

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。

alexex1993/mcu-skills202026年10月16日 更新

Convert an AWS CloudFormation stack or template to Pulumi. This skill MUST be loaded whenever a user requests migration or conversion of CloudFormation to Pulumi.

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。

dirien/yet-another-agent-harness202026年5月31日 更新

Install and configure Tailscale across platforms. Detects OS, distro, and environment (including WSL2 and containers). Verifies existing installations, performs platform-appropriate install, and guides initial connection. Use when setting up Tailscale on a new machine, onboarding a server to a tailnet, or verifying an existing install.

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。

dirien/yet-another-agent-harness202026年5月31日 更新

Guidelines for writing platform-specific code in Luma. Use when adding or modifying code that behaves differently on Unix vs Windows, including shell commands, file paths, process spawning, or platform-specific tests.

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。

nghyane/luma202026年6月8日 更新