「md」の検索結果

Creates the Tamagui brand system for an Expo/React Native Power Apps mobile app, including design-system.md, tokens.ts, and an HTML gallery.

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。

Creates an SVG weather card showing the current temperature and writes it to orchestration-workflow/weather.svg and orchestration-workflow/output.md

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。

Step-by-step guide for creating your own Claude Skills, from deciding whether a skill is the right tool to writing the SKILL.md file, structuring reference material, and making it trigger reliably. Use when you want to package a workflow, framework, or repeated task into a reusable Skill, when an existing skill is not triggering or not loading the right context, when you are auditing a skill that is underperforming, or when you want to publish a skill for others. Also triggers when someone asks "how do I make a skill" or "what makes a good skill". Useful for individuals, teams, and anyone publishing skills publicly.

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。

A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, running discipline, matching a result to a pre-committed decision rule, and the common failure modes that produce confidently wrong shipping decisions. Use this skill whenever the user is planning a test that has not run yet: framing a hypothesis, sizing the sample, setting duration, choosing guardrails, or deciding whether something is worth testing at all. Triggers on design an experiment, experiment plan, A/B test, split test, multivariate test, holdout, experiment hypothesis, sample size, minimum detectable effect, MDE, test duration, guardrail metric, no peeking, pre-committed decision rule, is this worth testing. Use `experimentation-analytics` instead when the test has already run and the question is how to read the result panel.

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。

How a downstream app consumes the shared @kolu/surface stack (@kolu/surface · surface-app · surface-nix-host · surface-mcp) — declaring a typed reactive surface, serving it, consuming it (SolidJS hooks or a CLI), and mirroring a remote surface over ssh. Grounded in the real consumers: kolu, pulam-web, drishti, odu, and the TUIs. Load when wiring a surface server/client/mirror, or reaching for getHostSession / a link / the `.use()` hooks. CHANGING the framework is gated separately — `.claude/rules/surface.md` (a paired, CI-green drishti PR pinned to final kolu HEAD).

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。

Refactor a too-long SKILL.md by progressive disclosure: measure token cost, classify every section KEEP/CUT/MOVE, shorten the body into references/ and scripts/, verify nothing was lost. Don't use for authoring new skills, eval retrofits, or prose.

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。

How to write and maintain DESIGN.md as the visual specification layer for Cavekit projects. Nine-section format, design tokens, accessibility, integration with kits/plans. Use when defining or revising visual identity, importing a third-party design system, or auditing UI code against design tokens.

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。

Convert markdown into a self-contained HTML slide deck with layouts, speaker notes, keyboard navigation, and a content-density linter. Use when building a deck from markdown, cutting an overloaded deck, or timing a talk.

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。

Pre-publication quality gate for authored Markdown — heading structure, on-disk link resolution, readability, accessibility, terminology. Use when reviewing docs before publishing, wiring a docs CI gate, or auditing a Markdown corpus.

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。

Convert authored markdown into a polished self-contained HTML document with a table of contents, numbered figures and tables, cross-references, footnotes, and print-ready CSS. Use when publishing a report, whitepaper, or memo.

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。

Use when the user asks to "optimize CLAUDE.md", "create a new skill", "write a custom agent", "configure hooks", "manage context window", "set up MCP servers", "scaffold a skill package", "analyze token budget", "create subagents", "configure permissions", "set up worktrees", or "integrate Claude Code with editors". Covers Claude Code CLI mastery, skill authoring, context engineering, hooks automation, subagent creation, and development workflow 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。

Query Human Metabolome Database for metabolite information

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。

Fully automated ship workflow: pre-flight, merge base, run tests, coverage audit, pre-landing review, design review, adversarial review, version bump, CHANGELOG generation, TODOS.md update, bisectable commits, push and PR creation, auto-sync docs via document-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。

One-time deployment configuration. Detects platform, gathers URLs and health checks, persists to CLAUDE.md for future land-and-deploy runs.

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。

Build a complete design system from scratch. Competitive research via web search and browse. SAFE/RISK breakdown of choices. Self-contained HTML preview page. Outputs DESIGN.md as project design source of truth.

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。

Creative ideation with MDA analysis

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。

Update the root README.md with entries for new or changed agent companies. Use when a new company has been added to the repo, when company details have changed (agents added/removed, skills added/removed), or when the user asks to refresh/sync the README. Triggers on: "update the readme", "add this company to the readme", "sync readme", "refresh readme", or after creating a new company with company-creator.

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。

Manages project directory setup and artifact organization. Use when starting a new project, resuming an existing one, or when a PLAN.md needs to be associated with a project directory. Creates the project folder structure (specs/, scripts/, notebooks/, manifests/, agent_memory/) and resolves project naming.

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。

Diagnostic-only skill for Slurm scheduler and node-daemon issues on Amazon SageMaker HyperPod Slurm clusters. Scope mirrors the HyperPod troubleshooting guide. Invoke when the user reports a Slurm node stuck in down/drain, "Node unexpectedly rebooted" after auto-repair, slurmd not running, jobs stuck PENDING with REASON=Resources while sinfo shows idle nodes, jobs stuck COMPLETING after node replacement, GRES/GPU counts wrong, scontrol ping failing, slurmctld unresponsive, an Action:Reboot/Replace request that did not trigger HyperPod auto-recovery, or auto-resume not restarting a job. Also triggers on "drain before reboot", "diagnose a Slurm node", "investigate stuck jobs."

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 site-wide SEO audit into a ranked PLAN.md: technical, content, links, local. A single page → page-seo-analysis. "why did our traffic drop"

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。

Use when building Cmd+K command palettes in React - covers keyboard navigation with arrow keys, keeping selected items in view with scrollIntoView, filtering with shortcut matching, and preventing infinite re-renders from reference instability

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。

Use when creating Agent Skills packages (SKILL.md format) for Codex CLI, GitHub Copilot, or Amp - provides the agentskills.io specification with frontmatter constraints, directory structure, and validation rules

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。

Turn one sentence of intent into tasteful, produced motion. Given a natural-language request like "make a good-looking animated landing page", "add a delightful like animation", or "make a silky release video", this skill classifies the intent, picks the most suitable recipes from the motion-anything library while honoring MOTION-SPEC.md (timing, easing, and the restraint budget), and produces the output. The universal entry point to motion-anything. Works on web pages, slides, app-showcase pages, and video.

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。

Assess, report, and manage serious incidents involving high-risk AI systems under Article 73 EU AI Act. Covers incident qualification, deadline buckets (2/10/15 days), authority notification, deployer duties (Art. 26(5)), cross-regulation mapping (GDPR/NIS2/MDR), corrective measures, and DACH-specific routing. Use when asked to evaluate whether an AI incident is reportable, draft an Article 73 notification, identify the right authority, or build an AI incident response process.

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。