2,627 件 ・ 関連度順
概要と使いどころ
Measures whether an automation suite builds release confidence via feedback-loop length, suite reliability, release cadence, and production escape rate, and emits a release_confidence verdict. Use when judging suite value, ROI, or pre-release trust; not for writing or healing tests.
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 Playwright page objects from an executable test plan, one class per screen with ladder-compliant locators and no assertions, wired into a shared fixture. Use when a web scenario needs a page object that does not exist yet, or when locators drift and the page object must be rebuilt.
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。
Cross-stack selector and test-id policy for web and mobile automation. Use when writing or reviewing E2E/UI test locators, or adding data-testid/accessibility identifiers to components.
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 and reviews detections from telemetry prerequisites, correlation logic, Sigma metadata, severity, status, and benign cases. Use for detection rules, Sigma review, analytic coverage, or tuning; not generic logging advice or live deployment.
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。
Enforce universal standards for high-performance development. Use when profiling bottlenecks, reducing latency, fixing memory leaks, improving throughput, or optimizing algorithm complexity in any language.
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。
Prepares CI/CD and remote infrastructure, then executes authorized rollouts with health and recovery checks; not standalone local container packaging.
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。
Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before 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。
Guides audio mastering for streaming platforms including loudness optimization and tonal balance. Use when the user has approved tracks and wants to master audio 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。
Constructs technical Suno style prompts for the current model family (v6, v6-wild, v6-mini), selects models and generation settings, and optimizes prompts. Use when creating or refining Suno prompts for track generation.
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 complete marketing department in one skill. Website and landing-page audits with weighted 0-100 scores, copywriting with panel scoring and AI-slop removal, an 18-tactic ad hook engine, GEO/AEO for getting cited by ChatGPT/Perplexity/AI Overviews, paid-ads creative diagnosis and production briefs, email sequences, LinkedIn/X writing, launch playbooks, positioning and offer design, competitor teardowns, app store optimization, honest analytics and test design. Use for ANY marketing task — audit, write, rewrite, diagnose, score, plan, launch, position, price, analyze — whenever the user mentions marketing, growth, conversion, copy, ads, hooks, CPM, ROAS, SEO, GEO, email, social, landing pages, funnels, launches, competitors, brand, positioning, pricing, or app stores, or says "my landing page sucks", "nobody's converting", "why are my CPMs up", "AI doesn't recommend us", "write me 20 hooks". Route via the table inside; fan out subagents for multi-dimensional work. Not for pure engineering, legal, or finance.
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 needs to plan, de-risk, or ground a software engineering / computer science undergraduate thesis from a real codebase before final writing. Trigger for requests such as "根据项目写毕业论文", "先做论文大纲", "用真实项目材料规划论文", "检查论文是否脱离代码", "根据检测报告降查重", "根据AIGC报告改写定稿", "继续在手改初稿上改", or when an existing draft thesis must be reworked against a school format sample. Produces an evidence-backed outline, chapter rewrite plan, figure plan, and handoff package for academic-paper-composer.
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 needs to turn a real software engineering / computer science project and an existing thesis draft into a submission-ready undergraduate thesis manuscript. Trigger for requests such as "根据项目把论文改成定稿", "按学校模板排版成最终版", "复制初稿后生成定稿 Word", "为定稿降查重", "根据PaperPass报告降AIGC", "继续在手改初稿上改", "恢复原来的图表和数据库说明", or when academic-paper-strategist has already produced an evidence-backed rewrite plan. Outputs a cleaned manuscript, final DOCX workflow, and a separate rework report.
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。
Agents should invoke this skill for academic or technical papers, arXiv/PubMed/IEEE/ACM links, PDFs, methodology review, limitations, practical implications, or extracting findings for engineering decisions.
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。
Perform a dual-lens critical review of the specification and plan from both product strategy and engineering risk perspectives before implementation.
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。
한국어 블로그·장문 글을 12개 voice preset으로 작성하거나 다듬는다 — toss-tech-design (default), karrot-neighborly, brunch-maker-popular, naver-d2-engineering, biz-formal-report, academic-paper, journalism-broadsheet, kakao-warm-product, line-global-saas, academic-lecture-essay, emotional-brand, legal-disclosure.
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 design docs, ADRs, and concept docs from existing code by reverse engineering intent
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。
Prompt templates, few-shot examples, chain-of-thought, structured output, 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。
Autonomous experiment loop: hypothesize > modify > test > evaluate > keep/discard > repeat. Run N experiments automatically with measurable metrics. Works for performance optimization, A/B testing, prompt engineering, and any measurable improvement task.
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。
Failure injection patterns, blast radius control, steady state hypothesis, and gameday planning for resilience 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。
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
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 disaster recovery strategies with RTO/RPO planning, database backups, Kubernetes DR, cross-region replication, and chaos engineering testing. Use when implementing backup systems, configuring point-in-time recovery, setting up multi-region failover, or validating DR procedures.
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 Internal Developer Platforms (IDPs) with self-service capabilities, golden paths, and developer experience optimization. Covers platform strategy, IDP architecture (Backstage, Port), infrastructure orchestration (Crossplane), GitOps (Argo CD), and adoption patterns. Use when building developer platforms, improving DevEx, or establishing platform teams.
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 validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.
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。
Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).
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。