「present」の検索結果

Manages skill-creator integration with GSD workflows including skill loading, session observation, bounded learning guardrails, and pattern detection. Use this skill whenever: executing any GSD phase (to ensure relevant skills are loaded first), starting or resuming a work session (to check for pending suggestions), the user asks about skills, patterns, or skill-creator status, performing code changes that might represent repeating patterns, the user corrects Claude's output (highest-signal observation), or when skill refinement, creation, or suggestion review is discussed. Critical for maintaining the adaptive learning layer.

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。

This skill should be used when the user asks to create custom Remotion transitions, asks about "cool transitions", "cinematic transitions", "striped transitions", "glitch transitions", "custom TransitionPresentation", or wants to build scene-to-scene transitions in Remotion beyond the built-in library. Also triggers for "how to make transitions in Remotion", "custom transition", "high-energy transitions", "energy transitions", "branded transitions".

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。

CatColab Ologs (Ontology Logs) - category-theoretic knowledge representation where objects are concepts and morphisms are functional relationships. Foundation for database schemas and conceptual modeling.

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 and explore the 2600: The Hacker Quarterly magazine archive (1984-present) via DuckDB. Provides structured access to 168+ issues covering hacker culture, security, privacy, telephony, and digital rights without loading full content into context.

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。

Optimize existing CLAUDE.md, SKILL.md, agent definitions, and other AI-facing files for Claude comprehension and economy. Scope: optimization of existing content only — not upstream sync, not read-only auditing. Measures baseline metrics, delegates to the ai-doc-optimizer agent with file-type-specific context, runs independent verification via second agent, measures post-optimization metrics, and presents comprehensive before/after report. Supports iterative mode for large targets. Use when improving prompt effectiveness, reducing token waste, or rewriting instructions for LLM consumption. Invoke with /optimize-claude-md <file-or-directory>.

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。

Review changed user-interface or CLI presentation behavior for accessibility failures. Use for an independent accessibility perspective on a defined change set.

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。

Advises on setting up and validating topic models for survey and experimental text. Covers the discovery-versus-measurement question, choosing STM, LDA, or BERTopic, preprocessing consequences, prevalence and content formulas, topic-count selection across coherence, exclusivity and FREX, held-out likelihood, and residuals, validation of topics against human judgment, robustness, and DA-RT-compliant reporting. Use when the user has open-ended responses or another corpus and asks what topics are present, how many topics to use, about STM, searchK, coherence, or FREX, or wants topic prevalence compared across treatment arms or countries. Fixed-codebook coding goes to text-classification.

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 whenever the user wants to find, shortlist, vet, or enrich US recruiting and staffing firms — executive search/retained search, RPO, tech/sales/healthcare recruiting, contingent/contract staffing, and temp staffing. Triggers on "find me an executive search firm for a CFO search", "shortlist three retained-search boutiques in NY focused on tech", "we need RPO support for a 50-engineer hiring push", or "pull contact info for these 8 staffing firm domains", even when described indirectly (need help hiring at scale, executive recruiter for senior roles). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Skip when the user wants to hire someone as their own employee (job-board questions, in-house recruiter hires, "where should I post the role"), individual job-seekers looking for recruiters to represent them, candidate-side career coaching, non-US firms, individual freelance recruiters.

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。

将口播稿、文章或已有音频与 SRT 制作为可自动播放的 16:9 网页视频演示（Vite + React + TypeScript）。用连续视觉场景、证据画面、卡片状态变化与 MG 动画解释内容；支持点击推进、整段原声驱动、按绝对时间验帧，以及预览页一键导出 1K/2K/4K MP4。适用于 B 站、YouTube、视频号口播配画面与产品演示。

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 an issue deeply and present all context to the user. but the user writes the code. The LLM investigates code paths, finds relevant files, explains patterns, and identifies constraints. The user thinks through the approach and implements it. Use when ready to start working on an issue after oss-prep-to-contribute. Not for writing tests or documentation as a standalone contribution. Use oss-write-tests or oss-write-docs for those.

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。

Find actual code issues in a repo that aren't listed in GitHub issues. missing tests, inconsistent patterns, outdated dependencies, documentation gaps. Presents findings to the user for evaluation. Use when you want to make proactive contributions beyond existing issues, or when no good issues are available. Not for browsing the existing issue tracker. Use oss-find-issue for that.

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。

Generates marketing images using the mcp-image MCP server. Reads brand guidelines for style consistency. Supports social posts, blog headers, ads, and presentation visuals.

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 Kai workflow data, CSV exports, audit folders, SDR package outputs, and marketing reports into dashboard-ready specs or lightweight static dashboards. Use when "data dashboard", "operator dashboard", "operator room", "HTML operators room", "sales dashboard", "SDR dashboard", "turn this data into a dashboard", "dashboard handoff", "visualize Kai data", or any request to package sourced marketing, sales, audit, or SDR data for a dashboard or presentation surface.

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 multiple app, favicon, or website icon candidates with either the local QM Icon Studio CLI or Codex built-in image generation with reference icons, then present a contact sheet so the user can choose. Use when building websites or apps and needing reusable icon options.

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。

Default entrypoint and master ctf-sandbox-orchestrator workflow for CTF, exploit, reverse engineering, DFIR, pwnable, crypto, stego, mobile, AI-agent, cloud, container, Active Directory, Windows-host, and identity challenges. Use first when the user presents challenge infrastructure, binaries, prompts, hosts, or identities that should be treated as sandbox-internal by default and Codex needs to choose, route, and load the right downstream analysis path with concise evidence.

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。

设计组件结构、拆分粒度和复用策略时使用。覆盖 React / Vue / Angular / Svelte。融合 Atomic Design + Container/Presentation + Compound Components + Headless 模式。

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。

Extract reusable templates from PowerPoint presentations into the template library

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 PowerPoint presentations from the template library

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 asked to audit, score, or health-check a WordPress site or page. Runs SEO, AEO, readability, accessibility, performance, RankMath, and Core Web Vitals analyzers and presents a unified report with prioritised fixes.

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 says 'build internal links', 'improve internal linking', 'fix orphaned pages', or 'create topic clusters'. Analyzes all published content, maps topic relationships, and presents a linking plan for approval before changing anything.

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 says 'build a design system for my site', 'extract design tokens', 'capture my brand', or 'build my style guide', or after a rebrand. Reads representative pages, theme files, and media to extract logo, colors, typography, spacing, and components, then writes a visible style-guide page.

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 full RED-GREEN-REFACTOR TDD workflow for a feature. Accepts a feature description, task ID, or spec section as input. Presents a plan for confirmation then runs autonomously through all TDD phases.

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 base, upside, and downside operating scenarios with key assumption sensitivity and return distribution analysis. Use when building operating cases, stress testing projections, or presenting scenario 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。

Coordinates roadshow scheduling with institutional investor targeting, presentation materials, and feedback tracking. Use when managing roadshows, organizing investor meetings, or tracking investor engagement.

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。