「tune」の検索結果

Write a sincere condolence or sympathy message when someone has died or a friend is grieving — warm, personal, and free of the clichés that hurt more than help. Use when asked what to say when someone dies, write a sympathy/condolence message, my friend lost their [person], or I don't know what to say. Produces a heartfelt message tuned to your relationship and the situation, drawn from a specific memory or quality where possible, an honest acknowledgment (not toxic-positive platitudes), an offer of concrete support, and guidance on what to avoid saying.

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。

Write a conference talk proposal / CFP submission for a tech or developer conference. Use when asked to submit to a CFP, propose a talk, or write a session abstract. Produces a compelling title, abstract, audience takeaways, an outline, and the speaker pitch — tuned to what selection committees actually look for.

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 one piece of content into a full multi-platform pack — X/Twitter thread, LinkedIn post, newsletter section, Instagram carousel, and a short-form video script — each rewritten natively for its platform, not copy-pasted. Use when asked to repurpose content, atomize a blog post or video, turn one idea into many posts, or get more mileage from a piece. Produces ready-to-post drafts per platform with hooks, formatting, and CTAs tuned to each.

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。

Prepare and rehearse a coming-out conversation, tuned to the specific person and the real risk — what to say, how to open, how to handle the likely reactions, and a safety-first plan if it could go badly. Use when someone says 'I want to come out to my parents/boss/friend', 'help me tell them I'm [gay/trans/bi/etc.]', 'rehearse this conversation with me', or is planning any identity disclosure. Produces an opener, a rehearsal against realistic reactions, and a safety plan. Safety and the user's autonomy come first — it never pushes anyone to come out.

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 a realistic personal monthly budget from someone's income and expenses. Use when asked to make a budget, plan monthly spending, allocate income, or get finances under control. Produces a categorized budget (a 50/30/20-style allocation tuned to their reality), a surplus/shortfall number, and concrete next moves. Educational, not regulated financial advice.

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。

Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings. Trigger phrases: supermemory, memory engine, remember this.

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。

Design schemas and migrations, tune queries, or plan vector retrieval and database operations. Application API implementation uses oma-backend.

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 designing or auditing experiments for an ACL paper, covering tuned LLM baselines, multi-dataset and multilingual evaluation, statistical significance and variance, human evaluation with agreement reporting, contamination and prompt-sensitivity controls, ablations, and error-analysis expectations in NLP reviewing.

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。

End-to-end composite that turns a single brief into voice-tuned X post variants, LinkedIn post variants, and a matching social graphic. Orchestrates create-x-content + create-linkedin-content + goose-graphics in one invocation. Asks about graphic format when not specified, with heuristic-driven 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。

Draft voice-tuned X (Twitter) post variants from a free-form brief. Reads a personal voice guide (generated via generate-voice-guide), produces 2–5 variants with distinct framings (simple-howto, problem-first, hype, mechanism-breakdown, etc.), and self-checks against the voice guide's banned phrases before returning.

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。

Draft voice-tuned LinkedIn post variants from a free-form brief. Reads a personal voice guide (generated via generate-voice-guide), produces 2–5 variants with distinct framings, applies LinkedIn-specific defaults (arrow bullets, "why this matters" beat, 150–500 words), and self-checks against the voice guide's banned phrases before returning.

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 motor control solutions using Motor Control Blockset for PMSM, induction motors, BLDC, and SynRM. Implement field oriented control, sensorless FOC, six-step control, speed control, current control, and torque control. Configure SVPWM, flux weakening, MTPA, MTPV, control of non-linear motors, inverter control, and motor parameter estimation. Compose motor drive models, tune gains, and generate embedded code.

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 a user asks an agent to evaluate or tune text search similarity for an existing Viking AI Search application and dataset.

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 user asks to "improve my mAP", "why is my model overfitting", "my training is diverging", "read my results.csv", "interpret my training curves", "my AP50 is good but AP50-95 is bad", "my recall is low", "how do I pick learning rate", "which augmentations should I use", "should I use a bigger model", "tune hyperparameters", or asks how to train YOLO26 for detection, instance or semantic segmentation, pose, OBB, classification, or depth.

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 Linux system performance. Configure kernel parameters, analyze bottlenecks, and tune resources. Use when improving system performance.

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。

Deploy and tune Web Application Firewalls. Configure rules for OWASP Top 10 protection. Use when protecting web applications from common attacks.

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。

Design and implement real-time audio processing chains using Audio Toolbox streaming objects. Use when building frame-based audio processing loops, multiband filters, dynamic range control, parametric EQ, level metering, loudness metering, SPL metering, octave-band analysis, sample rate conversion, frequency-domain filtering (long impulse responses, custom filter banks), or audio chains in Simulink. Covers visualization (visualize method), interactive tuning (parameterTuner), MIDI control, and Audio Toolbox Simulink blocks. Use when the user says "real-time audio", "streaming audio", "audio filter", "compressor", "equalizer", "level meter", "loudness meter", "SPL meter", "octave bands", "crossover filter", "audio chain", "MIDI control", "convolution reverb", "impulse response streaming", "frequency-domain filter", or asks to process audio frame-by-frame.

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 to pick the cheapest good-enough model or effort for a turn or a delegated task (lanes small to escalate), to decide continue/retry/verify/escalate/complete after each cycle, or to tune routing.

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 and manage Shopify pages, blog posts, navigation menus, redirects, and SEO metadata via the Admin API or browser automation. Use whenever the user wants to add a page to a Shopify store, write a Shopify blog post, update the storefront navigation, manage redirects, or tune SEO metadata on a Shopify site.

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。

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. Use when asked to improve a prompt, optimize a system prompt, rewrite an agent prompt, tune prompt wording, make a prompt more reliable, port prompts between OpenAI, Claude, or Gemini, or build prompt evals.

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。

DAX performance optimization for semantic models. Automatically invoke when the user asks to "optimize DAX", "fix slow DAX", "DAX performance", "tune a measure", "debug a measure", "DAX anti-patterns", or mentions slow queries, server timings, or DAX authoring.

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 lighting or rendering a Godot 4.7 3D scene: pick a renderer (Forward+, Mobile, Compatibility), choose GI (SDFGI, VoxelGI, LightmapGI, reflection probes), bake lightmaps without a mouse, tune WorldEnvironment, tonemapper (AgX, ACES, Filmic), glow, fog, volumetric fog and god rays, shadows and shadow acne, quality presets for PC and phones, Compositor post effects, or when 'my scene looks flat', 'too dark indoors', 'light leaks', 'lightmap is black', 'looks different on mobile'.

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 generated assets must keep a consistent style, character, or product look and references stop scaling, or when a user asks to train a custom model through the Scenario MCP, fine-tune a LoRA, clone a voice, curate a training dataset, choose a base model, set epochs and sample prompts, estimate training cost, diagnose a trained model that lost its identity or has one epoch, or generate with a trained model. Keywords: custom model, LoRA, dataset curation, epoch previews.

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 skill or bring an existing one up to the same standard (validate + asm eval fix loop); run evals, tune triggering. Use when authoring, fixing, or retrofitting a skill. Don't use for invoking skills, writing prose, or Python scaffolds.

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。