1,413 件 ・ 関連度順
概要と使いどころ
Diagnose failed or unhealthy Dynamo deployments. Use when pods, model-cache jobs, PVCs, workers, frontend/router health, endpoints, or benchmark jobs fail; use recipe-runner/router-starter before this for normal bring-up.
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。
GitHub Actions CI/CD pipeline configuration for Golang projects — workflow files for test, lint, SAST, coverage and vulnerability-scan jobs, Dependabot and Renovate config files, GoReleaser release pipelines, Docker build/push, repository security settings, and AI-driven PR review. Use when setting up or improving Go project CI, writing or fixing `.github/workflows/*.yml`, adding a linter or security scanner as a pipeline job, wiring automated dependency-update bots, or adding quality gates. Covers wiring tools into a pipeline, not the analysis they perform: do NOT use for choosing or interpreting security findings (→ See `samber/cc-skills-golang@golang-security` skill) or for choosing, upgrading, or auditing dependency versions (→ See `samber/cc-skills-golang@golang-dependency-management` skill).
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。
Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each. Use this skill whenever the user wants to evaluate a startup or private tech company: due diligence, whether to invest in it or join it, weighing a startup job offer, company health, outlook, or competitive position, or open-ended asks such as "what do you think of [company]" or "research [company] for me".
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。
[omh] Data pipeline work -- an ETL or streaming job, a backfill or replay, duplicate events, a schema change downstream, a lineage question, a data-quality regression: make every rerun idempotent, bound every replay, and gate each load on observed checks. Use when the user says: data-pipelines, data pipeline, data pipelines, etl, elt, etl pipeline, etl job, etl backfill.
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。
使用 PR 当前准确 head、失败 job 日志、本地复现边界和可合并状态，诊断 Comet PR 的 GitHub Actions 与覆盖率检查。PR 出现 CI 报错、Codecov 问题、过期检查或无法解释的红色 job 时使用。
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。
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).
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。
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
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。
Microsoft Entra Authentication Events SDK for .NET. Azure Functions triggers for custom authentication extensions. Use for token enrichment, custom claims, attribute collection, and OTP customization in Entra ID. Triggers: "Authentication Events", "WebJobsAuthenticationEventsTrigger", "OnTokenIssuanceStart", "OnAttributeCollectionStart", "custom claims", "token enrichment", "Entra custom extension", "authentication extension".
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。
Map functional, emotional, and social jobs with outcome expectations. Use when reframing decisions around motivation rather than features. For who the user is, use `user-persona`.
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。
Execute an Adobe PDF Services operation through explicit asset custody, asynchronous status, output verification, and cleanup. Use for approved document conversion, extraction, or generation. Use when the task requires pdf services controlled document job. Trigger with "process PDF with Adobe", "PDF Services job", or "Adobe document automation".
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 a current Adobe Firefly image generation job with prompt approval, response-led polling, artifact custody, and cancellation. Use for approved creative automation. Use when the task requires firefly controlled async generation. Trigger with "generate with Firefly", "Firefly async job", or "Adobe image 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。
Analyze job postings, calculate match scores, identify gaps, and create application 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。
Fill out job application form fields with context-aware, tailored answers drawn from the candidate's CV and the job description
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 topic or finished script into a complete, publish-ready explainer video — led by an AI presenter from an authorized adult presenter image, or performed with no presenter in one of twelve explainer styles (nine visual styles and three narrative ones). Not for promos, ads, or footage montages. Use for new presenter or styled explainer videos and for continuing, revising, captioning, lip-sync repairing, or re-exporting an existing job. Use it whenever the user asks for 数字人口播 / 数字人讲解, for a 讲解视频 / 动画讲解 / 科普视频, asks which styles or templates are available (有哪些风格 / 看看风格 / 风格模板), or names one of the styles: 留白, 信号/科技感, 手帐/手绘, 立体书/纸艺, 波普漫画, 一镜到底/3D, 图纸与注脚, 黑板报, 黏土小城, 推演/动态图解, 案卷/调查复盘, 小剧场/生活场景. Keep model and provider selection capability-based and record the actual choices per job.
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 a structured 5-day process to prototype, test, and validate product ideas with real users. Use when the user mentions "design sprint", "validate before we build", "rapid prototype", "test with users", or "should we build this". Also trigger when a team is stuck in endless debate over a high-stakes product decision, or wants to de-risk a costly idea before investing in development. Covers mapping, sketching, deciding, prototyping, and testing across Monday-Friday. For ongoing experimentation and MVPs, see lean-startup. For customer job analysis, see jobs-to-be-done. For non-leading user interviews, see mom-test.
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 product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category. Use when the user mentions "positioning", "competitive alternatives", "how to position", "market category", "positioning canvas", "repositioning", "category creation", "what category are we in", or "why prospects dont get what we do". Also trigger when launching a new product, entering a crowded market, or diagnosing why prospects dont grasp the product's value. Covers the positioning canvas and team workshops. For customer jobs analysis, see jobs-to-be-done. For go-to-market, see crossing-the-chasm.
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。
Implement reliable background job processing systems — queue management, retry policies, dead-letter handling, and distributed workers.
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 Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
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。
Fine-tune models on Microsoft Foundry using SFT (supervised), DPO (preference), or RFT (reinforcement with graders). Covers dataset preparation, training job submission, deployment, and evaluation. USE FOR: fine-tune, SFT, DPO, RFT, training data, grader, distillation, fine-tuned model, training job, large file upload, calibrate grader, deploy fine-tuned model, evaluate fine-tuned model. DO NOT USE FOR: general model deployment without fine-tuning (use deploy-model), agent creation (use agents), prompt optimization without training (use prompt-optimizer).
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。
Recover source-bound buyer jobs, struggling moments, desired progress, forces, workarounds, information acts, journey states, criteria, constraints, roles, locales, and authentic language. Use on approved ICP hypotheses plus customer, search, review, forum, procurement, support, or public-market evidence before designing an AI-visibility prompt architecture.
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 a CV shaped for one target company and role: its applicant tracking system, the country's conventions, the sector's norms, its published values and the job ad, with every choice explained. Use when asked to write my CV for a specific company, tailor my CV to Google, Amazon or any named employer, make my CV fit this company's format, or turn my experience into a CV for this job. Produces the tailored CV, a short format rationale citing public sources with dates, and a list of claims the person must be ready to defend. Never invents experience or insider knowledge.
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。
Explain China's social insurance and housing fund (五险一金) for a specific person and city: what each part covers, what they and their employer pay, how the contribution base works, and what happens when they change job, city or leave work. Use when asked 五险一金是什么, 社保怎么交, 公积金怎么提取, 换工作社保断了怎么办, 社保基数, or explain Chinese social insurance. Produces a plain explanation for their situation, a contribution calculation using their city's current rates, and a checklist for job changes, moving city, unemployment or freelancing. Not 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。
Compare job levels (职级) across Chinese technology companies and against international ladders, to judge an offer, a job move or a promotion target: what a level usually means in scope and expectations, how levels roughly line up, and what to ask the recruiter. Use when asked P7 相当于什么级别, 跳槽职级怎么对标, 字节 2-2 对应阿里什么, 这个 offer 的职级合理吗, compare Chinese tech levels, or how does Alibaba P-level map to Google levels. Produces a level comparison built from the person's own ladders and offer details, a scope-and-expectation profile for each level, the negotiation questions to ask, and a clear note on what is approximate.
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 UK Civil Service or NHS application: behaviour statements in the Success Profiles format, a personal statement mapped to the essential criteria, and a CV in the form these schemes expect. Use when asked to write my civil service application, answer Success Profiles behaviours, write a 250-word behaviour example, write my NHS supporting information, or apply on Civil Service Jobs or NHS Jobs. Produces each behaviour statement within the word limit using a situation, task, action, result structure, a criteria-mapped personal statement, and a check against the advert's essential criteria.
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。