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概要と使いどころ
Use ElevenLabs Scribe for speech-to-text production workflows: transcribing audio or video files, diarization and speaker/channel handling, word/character timestamps, captions/subtitles, keyterm prompting, entity detection/redaction, webhooks, realtime STT boundaries, pricing/limits, privacy/retention, consent, artifact custody, and QA for podcasts, interviews, edits, accessibility captions, and localization prep.
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 Amazon Polly for production text-to-speech work: selecting Standard, Neural, Long-form, or Generative engines and compatible voices; authoring SSML; creating speech marks for captions, word highlighting, or lip-sync; managing pronunciation lexicons; running synchronous, streaming, or asynchronous S3-backed synthesis; planning quotas, pricing, IAM, privacy, and QA for narration, audiobooks, accessibility audio, avatars, and multilingual media.
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。
Operate AudioShake's cloud source-separation service (developer.audioshake.ai) to split a recording into stems. Use when a task involves isolating vocals, drums, bass, guitar, piano, keys, strings, or winds from music; separating dialogue / music / effects (DME) for film-TV post-production, localization, and dubbing; splitting a mixed recording into one stem per speaker; lyric transcription or word-level alignment; music detection/identification; or speech denoise/dereverb. Covers the Tasks API job lifecycle (assets, targets, formats, polling vs webhooks, credits, limits), choosing which stem targets a production actually needs, reviewing separated stems for bleed / artifacts / transient smearing / phase problems and repairing them, the rights and consent questions raised by separating copyrighted or third-party recordings, and the decision boundary for when a local open model such as Demucs is the better route than the API. Not for generating or synthesizing new audio, mixing, or mastering.
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。
Produce audio-first podcast episodes with generative tools — design the show and episode format (interview, narrative, news brief, two-host conversational), write scripts for the ear, decide between fully-synthetic and hybrid (recorded human + synthetic) production and meet the disclosure duty each triggers, cast and direct multi-voice TTS for consistency and chemistry, build episode structure (cold open, intro/outro, segments, ad slots), assemble and edit, clear music and SFX rights, hit podcast loudness and delivery standards, ship metadata/chapters/transcripts through RSS, and pass platform AI-content policy and QA before publishing. Use this skill whenever the deliverable is a podcast episode or a podcast show bible, or when an agent must make production, rights, disclosure, or delivery decisions for spoken-word audio. Not for music tracks, single-voice notification prompts, or video where picture leads (route audio-for-video to a video 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。
A 60 to 75 s hand-drawn ink film of the agent's day with its own user ("a day in my life as <name>'s agent"): one average session from the user's local Claude Code history, beginning to end. The story follows what they actually do (coding, tests, docs, shipping, videos, whatever the history shows), told with their real words (first message, check-ins, corrections, praise, memory titles). It is drawn in two-tone p5.brush strokes that boil at 8 fps and scored for strings composed note-for-note on the film's clock (the typed "claude" is the theme). Trigger on: "day in my life as my agent", "a film about me and my agent", "what is it like to be my agent", "animate your day with me", "make a video of our sessions". Covers harvesting the routine and receipts, the privacy gate, the chapter toolbox, the ink kit, the score, render and QC.
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。
Monitor conversations about any topic, brand, or keyword across Twitter, Reddit, Threads, Weibo, and community platforms simultaneously. Aggregates volume, sentiment, key voices, and emerging narratives across the global social web.
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。
Parse and extract structured content from PDFs, Word documents, and other file formats. Converts documents into clean, machine-readable text for analysis, summarization, data extraction, and content processing workflows.
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。
Search NCBI databases using Biopython Bio.Entrez (ESearch, EInfo, EGQuery, ESpell). Use when finding records by keyword, building reproducible field-qualified queries, navigating the Entrez Query Translator, exploiting the history server for large result sets, handling retmax caps, or interpreting weekly index lag. Covers PubMed, Nucleotide, Protein, Gene, SRA, GEO, Assembly, Taxonomy, ClinVar, dbSNP.
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 remote BLAST searches against NCBI servers using Biopython Bio.Blast.NCBIWWW. Use when identifying unknown sequences, finding homologs, picking the correct BLAST program (blastn/blastp/blastx/tblastn/tblastx/psiblast/megablast/dc-megablast), interpreting Karlin-Altschul E-values, avoiding the max_target_seqs trap (Shah 2019), choosing composition-based statistics, or limiting searches by organism. Covers RID lifecycle, database choice (nt/nr/refseq_select/swissprot), word-size and CBS taxonomy.
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。
Audit a website's SEO with Firecrawl. Use when the user asks for an SEO audit, metadata and heading review, sitemap/site-structure analysis, keyword opportunities, competitor SERP comparison, or prioritized search optimization recommendations.
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 MLS-ready property listing descriptions with attention-grabbing headlines, feature highlights, neighborhood context, and SEO keywords across multiple buyer-persona styles
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 the TMDb integration tests against the live TMDb API (the Integration test plan; requires TMDB_API_KEY/USERNAME/PASSWORD). Use before a PR, or after model/fixture changes, to validate against real API responses — delegates to the tooling-runner agent (Haiku) and returns counts + failures, distinguishing genuine failures from transient live-API/env issues. For mocked unit tests, use /test.
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。
Редполитика проекта на русском языке: короткое интервью, извлечение голоса из примеров и файл `.agents/redpolitika.md` для редакторских скиллов. Use this skill whenever the user asks to create, update, remember, formalize, or apply a project editorial policy, tone of voice, style guide, vocabulary, forbidden words, or reusable writing context. Триггеры: «настрой редполитику», «редполитика», «запомни мой стиль», «создай гайд по стилю», «tone of voice», «ToV», «настрой скилл под наш проект», «как нам писать», «зафиксируй голос», «добавь в редполитику», «обнови правила тона», «словарь проекта», «запрещённые слова», «пиши в нашем стиле», «сохрани правила редакции». Also suggest this skill when redaktura, statya, or ux-copy lacks project context and the user will keep working with the same product. Для редактуры готового текста см. skill redaktura; для статей с нуля — statya; для интерфейса — ux-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。
Diagnoses email deliverability problems for transactional and marketing emails. Checks SPF/DKIM/DMARC alignment, sending IP reputation, email content spam triggers, and bounce patterns. Use when emails land in spam, go missing, or bounce unexpectedly. Trigger words: email spam, deliverability, emails not arriving, bounce rate, spam folder, email reputation, SPF fail, DKIM fail, DMARC, transactional email, SendGrid, Postmark, SES.
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。
Audits and troubleshoots DNS records for domains including A, AAAA, CNAME, MX, TXT, SPF, DKIM, DMARC, CAA, and NS records. Use when someone needs to verify DNS configuration, debug DNS propagation issues, check email authentication records, or audit domain security. Trigger words: DNS records, dig, nslookup, SPF, DKIM, DMARC, MX records, DNS propagation, nameservers, CAA, domain configuration.
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。
Manage environment variables and secrets across development, staging, and production environments. Use when someone needs to audit env vars, sync secrets between environments, detect missing or mismatched variables, rotate credentials, or set up a new environment from an existing one. Trigger words: env vars, environment variables, secrets, .env file, dotenv, config management, secret rotation, missing variable, environment sync.
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。
Manage secrets and environment variables using the Doppler CLI. Use when the user wants to set up Doppler, inject secrets into processes, manage projects and configs, upload or download secrets, create service tokens, use secret templates, or integrate Doppler with Docker, Kubernetes, or CI/CD pipelines. Trigger words: doppler, secrets manager, env vars, secret injection, doppler run, doppler setup, service token, secret rotation.
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, deploy, and update React Native apps with Expo. Covers file-based routing with Expo Router (stacks, tabs, drawers, deep linking), EAS Build and Submit, over-the-air updates, and 50+ SDK modules for camera, location, notifications. Use when setting up Expo, adding navigation, configuring builds, or integrating native device APIs. Trigger words: expo, expo router, eas build, react native expo, file-based routing mobile, deep linking.
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。
Assists with building cross-platform desktop applications using Electron. Use when architecting main/renderer process communication, configuring secure contexts, implementing auto-updates, or packaging apps for Windows, macOS, and Linux. Trigger words: electron, desktop app, browserwindow, ipc, auto-update, electron-builder.
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。
Assists with end-to-end testing of web applications using Cypress. Use when writing E2E tests, setting up component testing, configuring CI pipelines with parallelization, or building custom test commands. Trigger words: cypress, e2e testing, end-to-end, cypress run, cy.get, integration testing, browser testing.
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。
Designs database schemas with proper normalization, indexing, constraints, and tenant isolation patterns. Use when someone needs to create a new database schema, add multi-tenant support, design row-level security policies, or optimize table structures. Trigger words: database schema, table design, RLS, row-level security, foreign keys, indexes, migrations, ERD, data model, normalization.
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。
Assists with building secure JavaScript and TypeScript applications using the Deno runtime. Use when creating servers, CLI tools, or scripts with Deno's built-in tooling, permission model, npm compatibility, and web standards APIs. Trigger words: deno, deno deploy, deno serve, deno kv, deno permissions, secure runtime, jsr.
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。
Validate data quality in CSV, JSON, and database exports by checking for missing values, type mismatches, duplicates, outliers, and schema violations. Use when building ETL pipelines, auditing data imports, checking data freshness, or ensuring data contracts between teams. Trigger words: data quality, validation, null values, duplicates, schema check, data contract, ETL, pipeline, data drift.
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。
Assists with building custom interactive data visualizations using D3.js. Use when creating charts, graphs, maps, force layouts, or hierarchical diagrams that require fine-grained control beyond what charting libraries provide. Trigger words: d3, data visualization, chart, svg, scales, force graph, treemap, choropleth.
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。