「core」の検索結果

Retrospective on past token and prediction market picks - what hit, what flopped, what the score is

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。

Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline injection.

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。

Amazon listing builder and optimizer for sellers. Two modes: (A) Create — build keyword-optimized listings from scratch using keyword lists + product characteristics + AI copywriting, (B) Optimize — audit existing listings, find keyword gaps, score across 8 dimensions, and rewrite with missing keywords. Integrates with amazon-keyword-research for keyword input. Works on 12 Amazon marketplaces. No API key required. Use when: (1) creating a new Amazon listing from keywords, (2) auditing an existing listing for SEO and conversion, (3) checking keyword coverage in title/bullets/description, (4) generating listing copy with target keywords and tone, (5) comparing listings against competitors, (6) preparing a listing for launch or relaunch.

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。

FBA inventory planning — restock timing, safety stock, IPI score optimization, stranded inventory recovery

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。

Pulls replies from a Smartlead campaign, classifies each as positive/neutral/negative/OOO/bounce/unsubscribe using Claude, and reports the positive reply rate — the north-star metric for cold email. Use when the user wants to know if a campaign is actually working (not just getting replies, but getting the RIGHT replies). Triggers on "score my replies", "how's campaign X doing", "positive reply rate", "is this campaign working".

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。

Expand a hard-to-build niche list from ~10 known-good seed companies into a full qualified TAM. Seed fingerprinting (how do good-fit companies ACTUALLY show up in the company database's filters) → lookalike generation (Prospeo company_lookalike, Exa findSimilar, Parallel.ai entity search) → filter mining with a precision/volume scorecard → wide pull with auto-sharding → cheap-AI qualification → live-website verification → client transparency report. Use when a vertical list feels "too small" (medical groups, hedge funds, Medicare brokerages), when known good-fit companies don't show up in keyword searches, or when someone says "expand this list", "the TAM should be bigger", "find more companies like these".

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。

Diagnostic audit for a running cold email program. Checks domain authentication (SPF/DKIM/DMARC), inbox health/reputation from Smartlead, bounce rate by inbox type, and optionally runs a spam placement test via Smartlead's Smart Delivery API. Outputs markdown report + CSV with per-domain/per-inbox scores and concrete action items. Use when reply rates drop, when bounces spike, when onboarding someone else's account, or as a weekly/monthly health check.

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 when changing service structure, Subscribers, ServiceProviders, Container wiring, bootstrapping, Context classes, or any code that may affect the core caching engine in WP Rocket. Also use it when reading constants, writing unit tests that depend on constants, or opening a pull request.

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。

Expand a core idea into multiple distinct ad angles. Trigger on "more ads", "creative testing", "scale campaigns".

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。

Plan, build, and optimize Meta advertising campaigns on Facebook and Instagram — campaign structure, audience targeting (core, custom, lookalike), creative formats, pixel setup, retargeting strategy, budget scaling, and ROAS optimization. Use when the user says "Meta ads", "Facebook ads", "Instagram ads", "Facebook advertising", "Meta advertising", "Meta campaigns", "Facebook campaign", "Instagram campaign", "Meta ad strategy", "ROAS", "Meta pixel", "Facebook pixel", "lookalike audiences", "Meta retargeting", "scaling Meta ads", "Facebook ad account", "Meta ads manager", "Facebook ads not working", or wants to run or improve paid social advertising on Facebook or Instagram.

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。

Foundation skill that captures and stores core brand context — identity, audience, positioning, values, and voice. Use when the user says "set brand context", "save my brand info", "store brand details", "brand profile", "create brand context file", "update brand context", or when starting any brand project for the first time. Every other brand skill reads this file first. Always run this before beginning any brand work if the context file doesn't exist yet.

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。

Define KPIs, metrics, and tracking systems to measure brand health, awareness, perception, and equity over time. Use when the user says "brand measurement", "brand metrics", "how do we measure the brand", "brand KPIs", "brand health tracking", "brand awareness metrics", "brand equity measurement", "is our brand working", "brand ROI", "brand performance", "brand tracking", "brand health score", "prove brand value", "brand dashboard", or needs to show stakeholders whether brand investment is delivering results.

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 repeatable eval loop that grades agent output with an LLM judge, so prompt/skill changes get scored against a baseline instead of eyeballed. Reuses loopkit's verifier subagent as the grader — do not build a new one.

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。

Builds lead generation systems using Alex Hormozi's Core Four framework (warm outreach, content, cold outreach, paid ads), lead magnets, and Rule of 100. Use when designing customer acquisition, scaling advertising, choosing marketing channels for revenue stage, building referral programs, or fixing low lead flow. Covers lead magnets, LTGP:CAC math, More Better New scaling, and Lead Getters (referrals, employees, agencies, affiliates).

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。

Flip core assumptions to reveal hidden constraints and alternative approaches - "what if the opposite were true?"

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 already has a FINISHED video and wants Higgsfield to repurpose, restyle, clip or analyze it: Shorts Studio (restyle one 4–120s source video into a set of short-form clips from a style preset), Clipify (turn one YouTube video into subtitled clips), Virality Predictor (predict virality, hook strength, attention, retention risk with a dashboard), or Video Analysis (scene-by-scene breakdown of an uploaded video or a YouTube link). Also use when the user asks which of these cost credits and which are free, 'turn my video into shorts', 'will this go viral', 'score my ad', 'break this video down scene by scene'. Names: shorts_studio_create, shorts_studio_create_preset, shorts_studio_list_presets, shorts_studio_status, clipify, virality_predictor, brain_activity, video_analysis_create, video_analysis_status.

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。

查询 willcodexquotareset.com 的 Codex 配额重置预测，返回 forecast 中的重置概率（score 百分比）、距上次重置的天数与小时数、最近重置时间、是否已宣布重置和评分构成。当用户询问 Codex quota 是否会重置、重置概率、上次重置多久、Will Codex Quota Reset 网站预测或要求调用 /api/forecast 时使用；不用于查询用户个人账户的实际用量或官方配额余额。

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。

TypeSafe AI（typesafe.ai）官方文档离线 Wiki，覆盖 Jev System One 模型、Choice/Score/Noul 问题原语、state 结构与置信度、架构 Patterns、Python/JavaScript SDK、HTTP API 参考与 Cookbooks 示例；用于查询 TypeSafe API/SDK 的接入、用法与示例。不用于其他 LLM 厂商 API、千问或百炼系列文档问题。

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 affiliate blog posts and landing pages for SEO issues. Triggers on: "audit my blog post for SEO", "check my SEO", "SEO review", "improve my rankings", "SEO checklist", "on-page SEO audit", "keyword optimization check", "why isn't my page ranking", "SEO score", "content quality audit", "check my meta tags", "internal linking audit", "quick SEO wins".

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。

Score how hard a keyword is to rank for in the AI-search era — page-level URL Rating of real competitors (not just domain DR), Ahrefs keyword difficulty, and whether a given site already ranks or is cited in Google's AI Overview. Use when the user asks 'how hard is <keyword> to rank', 'geo difficulty for <keyword>', or 'keyword difficulty for <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。

Make 100 versions of Claude fight to the death over one task. Spins up N sub-agents (default 100, --quick for 16), gives every one the exact same task plus a different strategy card (reasoning mode, workflow, strategy), then runs a single-elimination bracket: they attack each other's solutions, defend and revise, and a judge scores every match on a written rubric until one solution survives. Use when the user is not satisfied with an answer, calls it a bad answer, says try again or do better, says "arena", or asks to make them compete.

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 four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the user asks to "score this paper draft", "evaluate against the benchmark", "compare two papers", or "run the autoraters".

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。

Detect and investigate bulk registration abuse on SaaS platforms. Given access to a user database (or exported CSV/JSON), run a multi-dimensional anomaly analysis — email domain clustering, registration tempo, UA fingerprinting, session structure, usage patterns, and credit consumption — to produce a scored abuse report with actionable recommendations. Use when investigating suspicious sign-up spikes, credit fraud, free-tier abuse, or account farming.

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。

The HyperFrames composition contract — build one renderable project. Use for composition structure, the `data-*` timing attributes, `class="clip"`, tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Also covers Tailwind projects and the STORYBOARD.md / SCRIPT.md plan formats. Read before writing composition HTML.

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。