1,122 件 ・ 関連度順
概要と使いどころ
Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.
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 "write a query letter", "query", "querying", "pitch", "blurb", "back cover copy", "jacket copy", "comp titles", "comparable titles", "synopsis for agents", "submit to agents", "submission tracker", "self-publishing description", "retailer description", "ready to query", "submission readiness check", "submit a short story", "magazine submission", "short-fiction markets", "simultaneous submission", "reprint rights", "order a short story collection", or wants to prepare and track a finished manuscript's submission to agents, publishers, magazines, anthologies, or retailers. NOT for pitching a series of several books (use series-continuity), or self-publishing production, metadata, or book rights deals (use publishing). The blurb, retailer description, and the rights a short-fiction market buys, such as reprint rights, stay here.
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 "self-publish", "publish my book", "ISBN", "copyright page", "book metadata", "BISAC", "keywords", "KDP", "IngramSpark", "Draft2Digital", "go wide", "Kindle Unlimited", "print interior", "trim size", "paperback", "ebook", "EPUB", "cover wrap", "spine width", "pricing", "launch plan", "ARC team", "advance readers", "newsletter", "reader magnet", "Amazon ads", "BookBub", "rights", "foreign rights", "audio rights", "film rights", "publishing contract", or wants to take a finished manuscript through production, distribution, launch, and rights management. It owns contracts and rights sales; NOT for permission to quote lyrics, epigraphs, or other material in the book (use editorial-review), or for drafting the blurb or retailer description (use submission).
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。
Source royalty-free images and videos from Pexels API for design, placeholders, or content. Supports search, curated/popular content, collections, multiple resolutions, and ALWAYS creates detailed sidecar metadata files.
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-publish assistant for new blog posts. Use when the user wants to classify a new post with categories and tags, generate SEO metadata (title, description, focus keyphrase), or get intelligent suggestions with rationale. Works with draft content (file path, URL, or text) and suggests from existing taxonomy to maintain balanced distribution.
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 adding or changing what the rezolus viewer exposes — an /api/v1 endpoint, a dashboard section, the metric catalog, metadata/description derivation, or the frontend data those depend on — or when editing src/viewer/ or crates/viewer/, or reviewing a viewer change. The viewer ships as two separate Rust backends (server + WASM) behind one shared frontend; changing one silently diverges them.
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。
Fix silent data loss when mutating Nostr replaceable events (Kind 0 profile, Kind 3 contact/follow list, Kind 10002 relay list, etc.) in client apps. Use when: (1) Following someone wipes the user's entire follow list, (2) Updating profile metadata loses existing fields, (3) Fresh browser session or mobile login causes data loss on first action, (4) Replaceable event mutation uses stale or null cached state. Root cause: Nostr replaceable events are full-replace (no partial update), so publishing based on stale/unloaded cache overwrites the canonical version. Applies to any Nostr client using React, Flutter, or similar reactive frameworks where query state may not be loaded when a mutation fires.
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。
Per-test JSON result files with metadata, versions, and infrastructure details
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 engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./Store`. Optionally pairs with promotional text updates.
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 for Bun file I/O: Bun.file, Bun.write, streams, directories, glob patterns, metadata.
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 packaging Docker deployments as 1Panel local app store apps, including GitHub projects, docker-compose.yml files, docker run commands, app metadata, version directories, icons, README files, and 1Panel validation.
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 adding, adopting, debugging or updating Morphir CLI examples and morphir itest scenarios, including scenarios.md, .feature.md and .feature files, scenario metadata, Rego assertions and integration coverage.
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。
Inspect, extract, OCR, create, merge, split, reorder, rotate, annotate, fill, redact, compress, secure, and verify PDF documents while preserving source files and visual fidelity. Use when working with one or more .pdf files; converting documents to or from PDF; extracting text, tables, images, metadata, forms, or page ranges; applying true redactions or signatures; diagnosing malformed, encrypted, scanned, or inaccessible PDFs; or validating that a PDF transformation preserved the intended content and layout.
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。
Think and work like an expert Ichthyologist. Use when a task calls for Ichthyologist judgment. Reasons from meristic fin formulae, sagittal otolith annuli/daily increments, larval flexion staging, and ICZN type discipline through Eschmeyer's Catalog, FishBase/WoRMS, MiFish/12S eDNA with blank controls, FSA/TropFishR/SS3 stock assessment, and Darwin Core museum metadata while treating CPUE catchability, unvalidated otolith ages, larval pigmentation loss, and eDNA false positives as first-class failure 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。
Think and work like an expert Geographic Information Scientist (GIS). Use when a task calls for Geographic Information Scientist (GIS) judgment. Reasons from location, topology, scale, and positional uncertainty through PostGIS/GDAL pipelines, explicit EPSG/datum choices, kriging with cross-validated variograms, and ISO 19115/FGDC metadata while treating MAUP and ecological fallacy, Web Mercator area statistics, floating-point slivers and broken topology, and spatial-autocorrelation-inflated significance as first-class failure 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。
Think and work like an expert Bacteriologist. Use when a task calls for Bacteriologist judgment. Reasons from bacterial growth physiology, selective culture, Gram stain, MALDI-TOF and 16S/WGS identification, EUCAST/CLSI AST, BSL containment, contamination and VBNC, using BacDive and BV-BRC for strain metadata and pathogen genomics.
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 an agent must make TwelveLabs do real video-understanding work: indexing footage, semantic/visual search across an archive, generating descriptions, summaries, chapters, highlights, and tags from video, producing multimodal embeddings, or wiring TwelveLabs into a media-production pipeline (NLE panels, logging, compliance review, metadata). Covers the current model families (Marengo for search/embeddings, Pegasus for video-to-text analysis), the v1.3 Video Understanding API (indexes, assets, tasks, search, analyze, embed), prompt construction for analysis, capability and format limits, pricing/quota math, output quality review (hallucination and timestamp accuracy), and privacy/rights obligations when footage shows real people. Not for generating or editing video pixels — this is analysis and retrieval.
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。
Provider-independent still-image post-production skill for RAW/rendered intake, nondestructive development, exposure, white balance, tone, color, ICC proofing, masking, repair, compositing, truthful retouching by genre, generative disclosure, sharpening, noise, resampling, variants, metadata, export, QA, rights, and ethical finishing. Use when an agent must plan, perform, direct, or review still photography retouching and finishing for print, web, social, archive, publication, or client delivery; do not use for image-generation APIs, video grading, or campaign-specific production 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。
Provider-independent FFmpeg finishing workflow for AI agents preparing generated or edited media deliverables. Use when finalizing images, image sequences, video, audio, captions, overlays, social/export variants, checksums, manifests, delivery specs, and QA with ffmpeg/ffprobe, including transcode versus stream-copy decisions, scaling, frame-rate handling, color metadata caution, loudness normalization, subtitle burn-in or sidecars, concat/trim, GIFs, batch variants, and reproducible command reporting.
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 to plan, direct, finish, and QA provider-independent mono or stereo 180-degree, 360-degree, spherical, spatial, wide-FOV, and immersive video. It covers format choice, capture rigs, stitching, nadir and seam management, stereoscopic comfort, attention direction, stabilization, ambisonic and spatial audio, titles, captions, accessibility, edit, color, VFX, projection metadata, Vision Pro, YouTube, headset delivery, device QA, and privacy, location, and likeness rights. Do not use it for interactive XR apps, volumetric/world-model generation, game-engine experiences, or provider-specific video generation prompts.
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。
Provider-independent production workflow for AI agents creating game trailers and promos, including announcement, gameplay, launch, DLC/update, store-page videos, social cutdowns, and generated/engine-capture hybrid trailers. Use when planning, scripting, capturing, generating, editing, localizing, reviewing, or QAing game marketing videos where gameplay truthfulness, platform/store constraints, ratings, accessibility, claims, CTA metadata, and rights provenance matter.
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。
Provider-independent production guidance for converting observed video into precise, objective, temporally ordered language. Use for shot descriptions, searchable metadata, dataset captions, reference logs, generation-prompt handoffs, and analysis across subject, scene, motion, spatial, and camera aspects; not for deciding what to shoot, accessibility captions, creative interpretation, or provider-specific video analysis APIs.
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。
Provider-independent quality assurance for AI-generated and AI-assisted media. Use when reviewing, accepting, revising, or reporting on images, video, audio, avatars, ads, product content, social clips, explainers, localization, mixed-source edits, captions, accessibility, provenance, model metadata, safety/policy, and delivery readiness.
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 full-length audiobooks and long-form narration with generative voice tools. Use when the task is to turn a manuscript or long text into hours of spoken audio: preparing the manuscript for narration (front/back matter, footnotes, tables, dialogue), casting a single narrator or full cast, controlling pronunciation and voice consistency across a whole book, running a proofing/QC listen, meeting a retailer's technical delivery specs (RMS, peak, noise floor, room tone, chapterized files, metadata), and choosing a distribution route under each platform's current AI-narration policy. Not for short TTS clips, single-line voiceover, podcast production, or captioning existing 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。