インフラ・DevOpsのスキル

AWS guidance — core services, IAM least privilege, networking, cost control, and production architecture patterns.

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。

Caddy guidance — automatic HTTPS, Caddyfile patterns, reverse proxying, and simple production deployments.

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 OpenAI models on Azure — enterprise deployment with private networking, compliance, and managed scaling.

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 guidance — subscriptions and RBAC, networking, AKS/App Service choices, Entra ID, and cost management.

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。

Master Bitbucket: Pipelines CI/CD, pull request workflow, branch permissions, and Jira integration. Use when building Bitbucket Pipelines or managing Bitbucket repos.

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 ML models to production with Baseten — high-performance inference with autoscaling and custom runtimes.

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。

Capacity planning — forecasting demand, sizing infrastructure, and avoiding both outages and waste — use when scaling systems.

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。

Application performance monitoring — transactions, profiling, and finding slow code — works with any APM platform.

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。

Designing alert rules that fire when it matters — thresholds, burn rates, and routing — for any monitoring stack.

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。

Manage fleets of local AI agents: lifecycle, monitoring, task assignment, and resource control. Use when running multiple CLI agents via an orchestrator like AI Maestro.

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。

Ship AI features to production — model selection, evals, latency/cost optimization, guardrails, monitoring, and iteration loops. Use when turning an LLM prototype into a reliable product feature.

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 AI chatbots end to end — conversation design, persona, retrieval grounding, escalation, and deployment. Use when creating a chatbot for support, sales, or internal assistance.

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。

Practice AI safety across the lifecycle — risk assessment, alignment concepts, evaluation, deployment safeguards, and governance. Use when building or deploying AI systems responsibly.

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。

Partner, channel, and ecosystem marketing for B2B SaaS — and the design of the partner program itself. Use this skill for co-marketing with technology alliances and channel partners, integration launches, joint campaigns and content, partner tiering and enablement, cloud-marketplace go-to-market (AWS, Azure, GCP listings, private offers, committed-spend drawdown), and for channel program architecture: whether to launch a partner program at all, which motions to run (referral, technology, services/SI, reseller), partner unit economics, margin and SPIF design, partner recruitment and certification ramp, and the rules of engagement that settle a contested deal. Also triggers on: partner marketing, co-marketing, channel, reseller, VAR, MSP, distributor, OEM, alliance, ecosystem, integration launch, marketplace listing, AWS Marketplace, private offer, MDF, joint webinar, co-branded, channel conflict, rules of engagement, deal registration, partner program design, should we build a partner program, partner economics, partner P&L, partner CAC, margin stacking, SPIF, rebate, partner recruitment, partner onboarding, partner certification, partner tiers, our partners signed up and never sold anything.

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。

Keep paperclip-docs in lockstep with the parent paperclipai/paperclip codebase. Detects code-surface changes (CLI, env vars, API routes, adapters, plugin SDK, schemas) and produces friendly-tutorial-voice doc updates. Two modes — `nightly` (tracks parent's default branch (currently `master`), targets the `nightly` branch, preview deploy) and `release` (on parent tag, merges nightly → main, tags, ships live). Trigger phrases: "sync docs", "update docs from paperclip", "/sync-docs", "check for paperclip changes", "is docs current".

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。

DevOps 工作技能 - CI/CD 流程、容器化构建、Kubernetes 部署、基础设施即代码、监控告警。当用户提到部署、容器化、K8s、Helm、ArgoCD、CI/CD、监控、日志、或需要执行部署、排查线上问题时，必须使用此技能。

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。

开发工作流程指导 - 编码、测试、代码质量、MR/PR 创建和 CI/CD。用于开发任务、编码、功能实现、Bug 修复、单元测试、代码覆盖率、代码审查、CI/CD 流水线和 Git 操作。

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。

Continuously monitor a GitHub PR for merge conflicts, CI failures, and CodeRabbit review comments, then automatically fix any issues found. Polls every 5 minutes and loops until every check is green. Use this skill whenever a PR has just been created or code has been pushed to a PR branch — it should be the default follow-up action after any PR creation or push. Also trigger on: "watch this PR", "guard this PR", "monitor CI", "keep fixing until green", "PRを監視して", "CIが通るまで 直して", /pr-guardian. When a PostToolUse hook reports that a push or PR creation just happened, proactively invoke this skill to start monitoring without waiting for the user to ask.

Land a PR by monitoring conflicts, resolving them, waiting for checks, and squash-merging when green; use when asked to land, merge, or shepherd a PR to completion.

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。

Tracks adversary C2 and staging infrastructure by clustering indicators on shared attributes (TLS/JARM, certificate fields, favicon hashes, ASN, registration patterns) to find related hosts. Activates for requests to track adversary infrastructure, cluster C2 servers, or pivot on infrastructure attributes to find related hosts.

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。

Expands one indicator into the full scope of an incident: pivoting across data sources to find related hosts, accounts, and infrastructure, building a timeline, and bounding what is and is not affected. Activates for requests to scope an incident, pivot from a single IOC, or determine the blast radius of a detection.

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。

Summarizes runtime behavior of a sample from Procmon-style operation logs — process and thread creation, file and registry writes, and network-related operations — to build a behavioral profile. Activates for requests to analyze Procmon output, summarize sample behavior, or profile process/file/registry activity from a sandbox run.

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。

Debug or validate Pulp animations / transitions / scroll behavior using in-process motion fixtures and offline visual analysis. TRIGGER on phrases like "animation is wrong", "transition timing off", "fade too late", "card slides too far", "scroll jumps on restore", "scroll offset wrong on restore", "frame jump in the timeline", "easing looks wonky", "imported Figma motion doesn't match source", "settle time / overshoot / drift / monotonic", "what value does the knob reach at frame N", "record this animation so I can replay it", "this animation is expensive — which one and why", "reduced-motion broken", "scrub a captured fixture". Captures fixtures (.motion.jsonl), and ships assertion helpers (is_monotonic / settling_time_seconds / overshoot / start_delay_seconds / final_value / local_step_outlier_ratio) and the `scroll_geometry` trace for `ScrollView` content-offset / visible-rect / content-size observability. Off by default in prod.

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。

Android platform development for Pulp — NDK cross-compilation, Oboe audio, Dawn/Skia GPU rendering, JNI bridge, touch interaction, emulator workflows, and end-to-end smoke validation. Covers build, deploy, debug, and the gotchas discovered during bringup.

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。