1.3万 件 ・ 関連度順
概要と使いどころ
Busabase-backed App-in-Skill low-code agent configuration and governance console for a platform team. Use when the user invokes $kelly-agent-builder or /kelly-agent-builder, wants to review or edit a catalog of mock LLM agent configs, check quota usage, find configs that need attention, move a draft to live, pause a live agent, or archive an agent. Mock config/governance console only — it never provisions or calls any real agent.
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。
Building a Threat Intelligence Platform (TIP) involves deploying and integrating multiple CTI tools into a unified system for collecting, analyzing, enriching, and disseminating threat intelligence. T
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 a structured vulnerability scanning workflow using tools like Nessus, Qualys, and OpenVAS to discover, prioritize, and track remediation of security vulnerabilities across infrastructure. Use when SOC teams need to establish recurring vulnerability assessment processes, integrate scan results with SIEM alerting, and build remediation tracking dashboards.
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。
Monitor a build process (webpack, turbo, docker) for warnings and errors as they stream. Summarize issues and fix them before the build finishes.
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。
Validate and analyze budgets for SCF Build Award submissions. Use when reviewing whether a submission's budget is proportional, justified, and well-structured based on patterns from 215 funded Build Awards.
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 knowledge base creation systems. TRIGGERS - Use when user needs help with ai-knowledge-base-builder related tasks.
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 playgrounds for AI model testing. TRIGGERS - Use when user needs help with ai-playground-builder related tasks.
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 marketplaces for AI models and prompts. TRIGGERS - Use when user needs help with ai-marketplace-builder related tasks.
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 personas with personality and expertise. TRIGGERS - Use when user needs help with ai-persona-builder related tasks.
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 demos for AI product showcases. TRIGGERS - Use when user needs help with ai-demo-builder related tasks.
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 build vs buy decisions for AI solutions. TRIGGERS - Use when user needs help with ai-build-vs-buy related tasks.
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 prompt chains and multi-step workflows for complex tasks. TRIGGERS - Use when user needs help with ai-chain-builder related tasks.
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 agency portfolios. TRIGGERS - Use when user needs help with agency-portfolio-builder related tasks.
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。
Cooks and packages a shippable CARLA server from a UE 5.8 ue58-dev checkout via the CMake `package` targets (shipping/development/debug/test), scoping the cook with CARLA_MAPS_TO_COOK, and inspects an existing package for the failures a green build hides — stale pak/ucas mismatch, missing staged OpenDrive/TM road data, missing post-process profiles, and Town15's uncookable content. Use when the user asks to "package CARLA UE5", "cook a map", "build a shipping server", "make a distributable CARLA", or a package builds but renders black / has no maps.
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 アプリ開発 (Kotlin) の Gradle ビルドシステムリファレンス。 Android Gradle Plugin (AGP), Kotlin DSL (build.gradle.kts), version catalog, KSP, R8/ProGuard, App Bundle, baseline profile。
BUILDINGフェーズを開始 - TDD実装サイクル
Reads, queries, and writes bigWig indexed binary signal tracks (coverage, fold-change, conservation, methylation-rate) with pyBigWig (Python) and the UCSC Kent tools (bedGraphToBigWig, bigWigToBedGraph, bigWigInfo, bigWigSummary, bigWigAverageOverBed) and deepTools (multiBigwigSummary, computeMatrix, bigwigCompare). Covers the central trap that a wide query returns a precomputed zoom-level summary (by default the mean, which annihilates narrow peaks) not per-base data, when exact=True/values() is mandatory, the NaN-not-zero gap-handling fork, choosing mean vs max vs sum vs coverage by biological question, and the sorted-bedGraph plus chrom.sizes build requirement. Use when extracting signal at regions, computing mean signal per gene/peak, building a browser track from bedGraph, comparing tracks, or building TSS/gene-body metaprofiles.
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 and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication, configuring Horizon queues, designing RESTful APIs with API resources, and building reactive interfaces with Livewire. Use when creating Laravel models, setting up queue workers, implementing Sanctum auth flows, building Livewire components, optimising Eloquent queries, or writing Pest/PHPUnit tests for Laravel features.
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features.json を読み込み、pending な機能を1件ずつ tdd-guide エージェント（内部で tdd-cycle を使用）で実装するスキル。 Context anxiety（トークン上限接近による焦り）と Context rot（情報劣化）を防ぐため、 機能単位のループ・状態管理・implementation-notes.md への記録を担う。 builder エージェントが実装フェーズを開始するときは必ずこのスキルを呼ぶ。
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.
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。
Rebuild the vault dependency graph (_graph.md) via the deterministic generator script. $graph forces a full rebuild; $graph last (run after every $sync) rebuilds only if the vault changed; $graph [N] is treated as last. The generator reads the vault and writes _graph.md directly, so the file never streams through a model response.
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。
Rebuild the vault dependency graph (_graph.md) via the deterministic generator script. /graph forces a full rebuild; /graph last (run after every /sync) rebuilds only if the vault changed; /graph [N] is treated as last. The generator reads the vault and writes _graph.md directly, so the file never streams through a model response.
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。
Dockerfile, multi-stage build, Compose, buildx, registry, otimização e segurança de imagem. Use quando o usuário disser "docker", "dockerfile", "imagem", "container", "build", "compose", "imagem muito grande", "trivy", "vulnerabilidade na imagem".
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。
Super-skill for developing Haskell projects with cabal nix-style builds. Orchestrates HLS diagnostics, Haddock, Hoogle, source formatting, and cabal-gild into one workflow. Use when writing, editing, refactoring, building, typechecking, fixing compiler errors, renaming symbols, looking up APIs, or changing dependencies in Haskell projects. Treat cabal.project as the source of truth, prefer HLS before full builds, and prefer local docs over remote lookup.
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。