「sam」の検索結果

Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM 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。

Use when auditing internal link structure or reviewing link attributes. Applies to any site using rel=nofollow on links pointing to pages within the same domain.

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 reviewing rendered HTML, interactive components, or design-system patterns related to Ensure identical links have consistent destinations. Check native semantics first, then inspect keyboard behavior, focus flow, accessible names, and screen-reader output where relevant.

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 auditing a site's meta tag uniqueness, generating page-specific meta descriptions, or reviewing CMS templates that inject the same description globally.

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 reviewing support UI across multi-page flows such as checkout, onboarding, account recovery, or support journeys. Compare multiple pages in the same variation instead of reviewing a single page alone.

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。

Stores a DAG definition once and re-runs it by name, instead of pasting the definition into every run. Use when the user wants to save a DAG, run a saved one, or schedule the same multi-agent graph repeatedly.

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 only when all three gates already hold. (1) This same user turn explicitly says to start, implement, build, scaffold, or go ahead with a new project now; prior answers, planning, decisions, and reminders never authorize. (2) No named path or confirmed suitable here/current-folder target resolves placement. (3) Inspection is forbidden, or permitted top-level inspection has already proved the current root home-like, general-purpose, or falsely empty. Do not load this skill merely to check eligibility. Exclude existing work, bug fixes, component edits, server or verification work, and standalone, paste-ready, single-file, or snippet delivery.

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 provides a Facebook URL or asks to read personal posts, comments, reactions, friends, timelines, profiles, stories, feeds, groups, events, or saved items, or to discover public events happening near a place, nearby, or in a local area on a date, or to create, edit, publish, or delete their own Marketplace listings. To find, browse, or buy Marketplace listings, use shopping instead. Use pages commands for managed Facebook Page discovery, insights, native draft editing/deletion, same-draft publication, approved posts and native scheduling.

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。

Port an existing Remotion (React) composition to HyperFrames HTML. Use ONLY when the user explicitly asks to port/convert/migrate/translate a Remotion source. Do NOT use: (a) authoring a new HyperFrames composition; (b) Remotion mentioned in passing; (c) Remotion code shared as reference only; (d) "same video as my Remotion one" without explicit migrate request — treat as fresh build. Doubt → `/general-video`. One-way, Remotion-only: no reverse export (HyperFrames→Remotion or any framework), no non-Remotion source (After Effects, Framer Motion, plain React/CSS) → out of scope, re-create via `/general-video`. Flags unsupported patterns (useState, useEffect, async calculateMetadata, third-party React libs, `@remotion/lambda`) and recommends runtime interop over lossy translation. Unsure whether to port vs. build fresh, or only a passing Remotion mention? → /hyperframes.

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 local character animation with schema checks, Playwright browser previews, frame sampling, and FFmpeg/ffprobe final output checks.

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 has a music track (an audio file, or a video to pull audio from) and wants a beat-synced HyperFrames video, calm to hard-hitting. The music drives everything: one analyzer reads it once, the orchestrator lays out the frames and fills a per-frame plan, and one sub-agent builds each frame. Typography and templates are the floor — a complete video needs zero assets — but any images or videos the user supplies are cut into the frames on the same beat grid (beat-cut / ken-burns). The genre (lyric video, slideshow, kinetic promo) falls out of the per-frame choices; the pipeline never branches on it.

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 a music track (an audio file, a video to pull audio from, or a track generated from a mood brief) into a beat-synced video — lyric video, slideshow, or kinetic promo. The music drives all pacing; any user-supplied images/videos are cut onto the same beat grid, and a complete video needs zero assets. Narrated pieces → the input-matched workflow (see /hyperframes). Unclear → /hyperframes.

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 needs a comprehensive marketing plan for a client, a company they advise, or their own product. Also use when the user mentions "marketing plan," "growth plan," "GTM plan," "go-to-market plan," "AARRR plan," "90-day marketing plan," "12-month marketing roadmap," "fractional CMO plan," "fCMO plan," "market sizing," "TAM SAM SOM," "how big is this market," or "market research." Generates an exhaustive 13-section plan structured by AARRR (Acquisition, Activation, Retention, Referral, Revenue), customized to the client's current budget, team, and stage, mapped to future funding milestones, cross-referenced with the 139-idea marketing-ideas library and an embedded 17-section current-state audit rubric, with a marketing operations stack showing which skills and MCP/API integrations execute each part. Outputs a Notion-paste-ready markdown document. For positioning and ICP context before planning, see product-marketing. For stage-specific deep work, see onboarding, signup, emails, referrals, pricing.

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。

Command-line interface for Obs Studio - A stateful command-line interface for OBS Studio scene collection editing, following the same patter...

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。

Command-line interface for CloudCompare — Agent-friendly harness for CloudCompare, the open-source 3D point cloud and mesh processing software. Supports 41 commands across 9 groups: project management, session control, point cloud operations (subsample, filter, segment, analyze), mesh operations, distance computation (C2C, C2M), transformations (ICP, matrix), export (LAS/LAZ/PLY/PCD/OBJ/STL/E57), and interactive REPL.

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。

Command-line interface for Obs Studio - A stateful command-line interface for OBS Studio scene collection editing, following the same patter...

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。

Command-line interface for Blender - A stateful command-line interface for 3D scene editing, following the same patterns as the GIMP CLI ...

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。

Command-line interface for Inkscape - A stateful command-line interface for vector graphics editing, following the same patterns as the GI...

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。

Command-line interface for Kdenlive - A stateful command-line interface for video editing, following the same patterns as the Blender CLI ...

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。

Command-line interface for Audacity - A stateful command-line interface for audio editing, following the same patterns as the GIMP and Ble...

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。

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.

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Supports work with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pretraining corpus, the Compass eight-task benchmark, or the `waypoint` CLI from the `waypoint-bio` package. Covers embedding microbiome samples, fine-tuning on taxonomic abundance data, benchmarking a checkpoint on Compass, pretraining a GPT-2 model on taxonomic abundance profiles, and converting MetaPhlAn, Kraken2, QIIME 2, or MGnify abundance tables into waypoint format.

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。

Supports PyTorch Geometric (PyG) graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.

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。

Queries public GenSpectrum LAPIS data for pathogen genomic surveillance, current lineage nomenclature, weekly sequence proportions, reporting delays, and descriptive mutation frequencies. Use for variant surveillance, Pango lineage validation, dominant submitted lineages, Nextclade assignment provenance, SARS-CoV-2, influenza/H5N1 clades, RSV, mpox, measles, dengue, or LAPIS queries. Distinguishes sequence prevalence from infection prevalence, clades from genotypes, missing calls from reference matches, and sampling changes from biological growth advantage.

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。