「artifacts」の検索結果

Publishes HTML or Markdown as display.dev URLs with public, company, or private access. Supports signup, claiming, sharing, browsing, bounded reads, exact edits, and comment iteration. Use when the user asks to "publish this", "share this", "share with the org", "post this online", "make a private link", "share with [email]", "publish a report", "list my artifacts", "find an artifact", "publish a large file", "publish this generated HTML file", "read this artifact", "search inside this artifact", "change this passage", "make a copy of this artifact", "duplicate version", "create a display.dev account", "claim this publish", "add a company email domain", "transfer an email domain", "change the email domains add-on", "show my referral link", "show referral rewards", "watch comments on this artifact", "respond to comments", or "resolve this comment thread". Use whenever a request contains a display.dev artifact URL (`*.dsp.so/*`). Anonymous publishing returns a 30-day preview and browser claim URL.

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。

Blind dual-implementation pattern where two agents independently create artifacts, then a third agent judges which is better and synthesizes learnings.

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。

Suite de ferramentas para criar artefatos HTML elaborados e multi-componentes para claude.ai usando tecnologias web frontend modernas (React, Tailwind CSS, shadcn/ui). Use para artefatos complexos que requerem gerenciamento de estado, roteamento ou componentes shadcn/ui - não para artefatos HTML/JSX simples em arquivo único.

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。

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

Applies Canvas brand colors, typography, and visual polish to artifacts that benefit from a consistent product look-and-feel. Use it when brand colors, style guidelines, visual formatting, or company design standards apply.

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。

[Code Quality] Use when reviewing rationale and change quality for plans, PBIs, commits, diffs, docs, specs, reports, or explicit artifacts.

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。

[Project Management] Use when you need to generate an HTML mockup report from PBI and story artifacts.

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。

[Research] Use when you need to review knowledge artifacts for completeness, citation quality, confidence accuracy, and template compliance.

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。

Remove Gemini AI watermarks from images using GeminiWatermarkTool (GWT). Use this skill whenever the user mentions: Gemini watermark, 浮水印, AI image cleanup, removing logos from Gemini-generated images, Google ImageFX cleanup, batch processing AI-generated photos, or anything about a semi-transparent logo in the bottom-right corner of an image — even if they don't say "GeminiWatermarkTool" explicitly. Also trigger for follow-up requests like "the corner still looks dirty" or "there's still residual artifacts" after a previous removal attempt.

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。

Run a Mixture of Experts (MoE) audit on any topic, plan, codebase, evidence archive, or process. Dynamically spawns specialized subagents with different critical lenses to cross-reference findings and detect flaws, overlap, retention issues, or drift. Use when designing architectures, analyzing complex code, verifying multi-step plans, classifying evidence artifacts, or looking for duplicated intent in a repo.

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。

Safely clean regenerable clutter from a project folder by scanning for build artifacts and caches, backing up every removed path into a timestamped archive with a BACKUP.md manifest, zipping the backup to save space, and only deleting originals after explicit confirmation. Use when the user asks to clean a project directory, remove node_modules, clear build output, reclaim disk space, or tidy a repo before archiving.

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。

Evidence-grounded AI research workflow for turning supplied economics, finance, management, and social-science papers or structured records into versioned PaperReading artifacts. Use when Codex must ingest text, Markdown, or a text-based PDF; separate source-grounded claims from researcher analysis; bind findings to evidence IDs and locators; review extraction candidates; migrate v0.2 PaperRecord JSON; validate or verify a v0.3 PaperPackage; generate research extensions; export reviewable JSON or Markdown; or safely update a compatible 13-field literature workbook.

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。

Plan and orchestrate authorized Nmap host discovery, port and service enumeration, NSE profiling, and reporting artifacts for in-scope targets.

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。

Define legal scope, rules of engagement, and authorization artifacts for downstream pentest execution.

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。

Prepare deployment configs, final checks, and pre-launch readiness artifacts for production release.

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。

Actively enumerate in-scope hosts and services, then produce normalized network mapping artifacts.

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。

Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.

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。

Retest remediated findings, detect regressions, and generate remediation status and certification artifacts.

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。

Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment definitions.

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。

Generate sitemap and wireframe specifications from project-config.json and produce UX planning artifacts.

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。

Builds and improves task-specific decision artifacts from application requirements and labeled records. Use for data assembly, primitive and base-model selection, fitting, export/reload, inference policy, or bounded data/model/program improvement. Includes rules and no-training outcomes; does not require a rung ladder or training a general Jev.

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。

Generic read-only checklist for preparing an application deployment by verifying host, artifacts, backups, service state, configuration, dependencies, and rollback readiness before any write action.

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。

GStack design-review method for reviewing rendered UI, landing pages, decks, or visual artifacts for hierarchy, layout, accessibility, and polish.

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。

Read-only workflow for discovering uploaded deployment artifacts, comparing them with current deployment state, and preparing a safe update and rollback plan.

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。