Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
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。
4,623 件 ・ 関連度順
概要と使いどころ
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
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 this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
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。
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers. Also use when the user mentions 'AI SEO,' 'AEO,' 'GEO,' 'LLMO,' 'answer engine optimization,' 'generative engine optimization,' 'LLM optimization,' 'AI Overviews,' 'optimize for ChatGPT,' 'optimize for Perplexity,' 'AI citations,' 'AI visibility,' 'zero-click search,' 'how do I show up in AI answers,' 'LLM mentions,' 'optimize for Claude/Gemini,' 'llms.txt,' 'OKF,' 'Open Knowledge Format,' 'knowledge bundle,' or 'agent-readable site.' Use this whenever someone wants their content to be cited or surfaced by AI assistants and AI search engines. For traditional technical and on-page SEO audits, see seo-audit. For structured data implementation, see schema.
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。
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation 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。
Find question-based Google Autocomplete suggestions for any topic. Prepends question modifiers (what, how, why) to a seed topic and returns real autocomplete suggestions — useful for AEO prompt research, content ideation, and understanding what people ask about a topic. Use when the user wants to discover questions people search for, find content angles, or do keyword/prompt research for a topic.
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。
Schedule and manage social media posts across Instagram, X (Twitter), Bluesky, TikTok, Threads, LinkedIn, Facebook, Pinterest, and YouTube using the AdaptlyPost API. Use when the user wants to schedule social media posts, manage social media content, upload media for social posting, list connected social accounts, check post status, cross-post content to multiple platforms, or automate their social media workflow. AdaptlyPost is a SaaS tool — no self-hosting required.
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。
Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends a video file and wants it analyzed, (2) Video summarization or description needed, (3) Extracting text, UI elements, or information from screen recordings, (4) Answering questions about video content, (5) Comparing multiple videos, (6) Analyzing tutorials, demos, or walkthroughs.
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。
AI-powered presentation generation using 2slides API. Create slides from text content, match reference image styles, or summarize documents into presentations. Use when users request to "create a presentation", "make slides", "generate a deck", "create slides from this content/document/image", or any presentation creation task. Supports theme selection, multiple languages, and both synchronous and asynchronous generation modes.
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 Karpathy-style autoresearch optimization on any content. Generates 50+ variants, scores with a 5-expert simulated panel, evolves winners through multiple rounds, outputs optimized version + full experiment log. Use when optimizing landing pages, email sequences, ad copy, headlines, form pages, CTA text, or any conversion-focused content. Triggers on "optimize this page", "run autoresearch", "score these variants", "A/B test this copy".
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。
AI-powered conversion rate optimization: landing page audits, CRO scoring, survey segmentation, and lead magnet generation. Use when asked to audit a landing page, run a CRO analysis, segment survey responses, or generate lead magnets. For content quality scoring see content-ops.
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。
AI-powered SEO operations: keyword intelligence, competitor gap analysis, Google Search Console optimization, and trend detection. Use when asked to research keywords, analyze competitor content gaps, audit GSC performance, or detect trending topics. For growth experiments see growth-engine; for content optimization see autoresearch.
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 adversarially reviewing a document that makes formal or technical claims — math derivations, physics papers, statistical analyses, benchmark reports, whitepapers. Inventories every equation and quantitative claim, verifies each AS NAMED in the text (never a paraphrase or a neighboring statement), and classifies VERIFIED / REFUTED / UNVERIFIABLE / VACUOUS. Triggers on "check this paper", "verify these claims", "is this derivation right", "review this proof", "audit this benchmark", "does the math hold up". For source-code review see code-review-and-quality; for skill/agent library audits see skill-library-review; for content quality scoring see content-ops.
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。
Skill for building with the Astro web framework. Helps create Astro components and pages, configure SSR adapters, set up content collections, deploy static sites, and manage project structure and CLI commands. Use when the user needs to work with Astro, mentions .astro files, asks about static site generation (SSG), islands architecture, content collections, or deploying an Astro project.
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。
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.
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 a minimalist marketing plan focused on building an audience through free, authentic content. Use when someone has product-market fit (~100 customers) and wants to scale through marketing or needs a content strategy.
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。
Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.
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。
Collaborative writing partner that assists with research, outlining, drafting, citations, and iterative feedback. Helps writers create high-quality content while maintaining their unique voice and style.
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 facing SEO algorithm questions, content strategy decisions, Threads growth planning, GEO optimization, AI tool selection for SEO, or evaluating SEO vendors. Triggers on any algorithm or content marketing decision — even without mentioning darkseoking. Every insight is backed by patent numbers or tested 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。
Content-addressed baseline-archive epoch partitioning. Partition baseline_archive.jsonl + the self-improving hub's baseline serving by a HASH of the full baseline-production+measurement spec — when the spec (margin_rule, fitness/margin logic version, the 4 roles' model+source, rubric/dim-set, bench, seed-pool identity) changes, the hash changes → a new epoch series (like seed-gen gen-*). Triggered by "baseline epoch", "baseline 아카이빙", "epoch partition", "spec hash", "content-addressed", "margin_rule namespace", "production logic 구분", "baseline 하위 서빙" keywords.
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。
Deletes files and directories through a wrapper that avoids the usual per- command permission prompt. Use only when content must genuinely be deleted, such as clearing build artifacts or dropping obsolete files during a refactor. Moves, renames, and relocations that preserve content use mv instead.
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。
Marketing and promotion specialist for Claude ecosystem technology - MCP servers, skills, plugins, and agents. Expert in community engagement, registry submissions, content marketing, and developer relations. Activate on 'promote MCP', 'share skill', 'market plugin', 'launch agent', 'developer marketing', 'MCP registry'. NOT for creating MCPs/skills (use agent-creator), general marketing (use content-marketer), or SEO optimization (use seo-visibility-expert).
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。
Proper usage of Bash and file operation tools. Use this skill when executing shell commands, writing files, or when tempted to use echo/cat/heredoc to pipe content to files. Prevents permission circumvention patterns like piping multiline content through echo instead of using Write tool. Covers Bash tool, Write tool, Edit tool, and Read tool best practices.
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。
Reddit content publishing skill. Submit text posts, link posts, and image posts to subreddits. Triggered when user asks to post, submit, or share content on Reddit.
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。
Filter and select sequences by criteria (length, ID, GC content, N content, motifs, patterns, description) using Biopython, streaming so large files never load into RAM. Use when subsetting a FASTA/FASTQ file, removing unwanted or low-quality records, or selecting records by specific criteria. Use the paired-end-fastq skill instead whenever the input is paired R1/R2 reads.
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。