Skills
18,283 skills, most installed first.
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market-researchaffaan-mConduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.marketing-campaignaffaan-mEnd-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.master-agreement-generatoraffaan-mGenerate review drafts of counterparty master agreements from one template plus a JSON spec, with role-selected clauses and a Schedule A workflow limited to the executed agreement's notice authority. Use when you need reproducible drafting and separately reviewed execution preparation.mcp-server-patternsaffaan-mBuild MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice.messages-opsaffaan-m日本語翻訳：このファイルは messages-ops 用の日本語翻訳が必要ですml-adoption-playbookaffaan-mEnd-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.mle-workflowaffaan-mProduction machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.motion-advancedaffaan-m日本語翻訳：このファイルは motion-advanced 用の日本語翻訳が必要ですmotion-foundationsaffaan-m日本語翻訳：このファイルは motion-foundations 用の日本語翻訳が必要ですmotion-patternsaffaan-m日本語翻訳：このファイルは motion-patterns 用の日本語翻訳が必要ですmysql-patternsaffaan-m日本語翻訳：このファイルは mysql-patterns 用の日本語翻訳が必要ですnanoclaw-replaffaan-m日本語翻訳：このファイルは nanoclaw-repl 用の日本語翻訳が必要ですnasiko-control-planeaffaan-mManage the experimental Nasiko CLI lifecycle through ECC — read-only status checks, consent-gated install of the pinned qualified version with dry-run preview, and ownership-checked uninstall, under explicit telemetry and secrets boundaries. Use when the user asks to install, inspect, or remove the Nasiko CLI or check whether it is present.nestjs-patternsaffaan-mNestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.netmiko-ssh-automationaffaan-m日本語翻訳：このファイルは netmiko-ssh-automation 用の日本語翻訳が必要ですnetwork-bgp-diagnosticsaffaan-m日本語翻訳：このファイルは network-bgp-diagnostics 用の日本語翻訳が必要ですnetwork-config-validationaffaan-m日本語翻訳：このファイルは network-config-validation 用の日本語翻訳が必要ですnetwork-interface-healthaffaan-mルーター、スイッチ、Linuxホスト上のインターフェースエラー、ドロップ、CRC、デュプレックス不一致、フラッピング、速度ネゴシエーション問題、カウンタートレンドを診断する。nextjs-turbopackaffaan-mNext.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.nodejs-keccak256affaan-mJavaScriptとTypeScriptにおけるEthereumハッシュバグを防ぐ。NodeのSHA3-256はNIST SHA3であり、Ethereum Keccak-256ではなく、セレクター、署名、ストレージスロット、アドレス導出を静かに破壊する。nutrient-document-processingaffaan-mNutrient DWS API を使用してドキュメントの処理、変換、OCR、抽出、編集、署名、フォーム入力を行います。PDF、DOCX、XLSX、PPTX、HTML、画像に対応しています。nuxt4-patternsaffaan-mハイドレーション安全性、パフォーマンス、ルートルール、遅延ロード、useFetchとuseAsyncDataを使ったSSR安全なデータフェッチングのためのNuxt 4アプリパターン。openclaw-persona-forgeaffaan-m为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡， 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill，可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于：微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词：龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster character、抽卡、随机龙虾、龙虾 SOUL、gacha。opensource-pipelineaffaan-mオープンソースパイプライン: プライベートプロジェクトをフォーク、サニタイズし、安全な公開リリースのためにパッケージ化する。3つのエージェント（フォーカー、サニタイザー、パッケージャー）を連鎖させる。トリガー: '/opensource'、'open source this'、'make this public'、'prepare for open source'。operator-approval-loopaffaan-mOperator approval contract with internal filing notices for agent-drafted outbound messages, hashed drafts, epoch-keyed decisions, durable delivery claims and receipts, and a pre-draft baseline gate. Use when an agent drafts messages to external counterparties and a human operator must approve, reject, or steer each send before it leaves.orch-add-featureaffaan-mOrchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.orch-build-mvpaffaan-mOrchestrate bootstrapping a working MVP from a design or spec document — ingest the SDD/PRD, plan thin vertical slices, scaffold the first end-to-end slice, then drive a generator-evaluator build loop with review and gated feat commits. Use when a design or spec document must become a running MVP through planned vertical slices.orch-change-featureaffaan-mOrchestrate altering an existing, working feature to new desired behavior — update its tests to the new spec, change the implementation to match, review, and gated commit. Use when behavior is not broken but should be different.orch-fix-defectaffaan-mOrchestrate fixing a bug — reproduce it as a failing regression test, fix to green, review, and gated commit — by delegating each phase to the matching ECC agent. Use when existing behavior is broken or wrong.orch-pipelineaffaan-mShared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-defect, orch-change-feature, orch-refine-code, or orch-build-mvp; read directly only when adding an orch operation or tuning shared phases.orch-refine-codeaffaan-mOrchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change.parallel-execution-optimizeraffaan-m当用户希望通过并行工作、并发 agents、批量工具调用、隔离 worktree 或多条独立验证通道来大幅加速任务、同时不损失正确性时使用。perl-patternsaffaan-m堅牢でメンテナブルなPerlアプリケーションを構築するためのModern Perl 5.36+のイディオム、ベストプラクティス、規約。perl-securityaffaan-mテイントモード、入力バリデーション、安全なプロセス実行、DBIパラメータ化クエリ、Webセキュリティ（XSS/SQLi/CSRF）、perlcriticセキュリティポリシーを網羅する包括的なPerlセキュリティ。perl-testingaffaan-m日本語翻訳：このファイルは perl-testing 用の日本語翻訳が必要ですplan-canvasaffaan-mOpen plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.plan-orchestrateaffaan-m日本語翻訳：このファイルは plan-orchestrate 用の日本語翻訳が必要ですplankton-code-qualityaffaan-m日本語翻訳：このファイルは plankton-code-quality 用の日本語翻訳が必要ですpostgres-patternsaffaan-mPostgreSQL database patterns for query optimization, schema design, indexing, and security. Quick reference for common patterns, index types, data types, and anti-pattern detection. Based on Supabase best practices.prediction-market-oracle-researchaffaan-mResearch prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice. Use when evaluating prediction markets as a data source or oracle signal for a product, agent, or dashboard.prediction-market-risk-reviewaffaan-mReview prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.prisma-patternsaffaan-mPrisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.product-capabilityaffaan-mTranslate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.product-lensaffaan-m日本語翻訳：このファイルは product-lens 用の日本語翻訳が必要ですproduction-auditaffaan-m日本語翻訳：このファイルは production-audit 用の日本語翻訳が必要ですproduction-schedulingaffaan-m日本語翻訳：このファイルは production-scheduling 用の日本語翻訳が必要ですproject-flow-opsaffaan-m日本語翻訳：このファイルは project-flow-ops 用の日本語翻訳が必要ですproject-guidelines-exampleaffaan-mProject-specific skill template covering architecture, patterns, testing, and deployment guidance.prompt-optimizeraffaan-m日本語翻訳：このファイルは prompt-optimizer 用の日本語翻訳が必要ですpython-patternsaffaan-mPython-specific design patterns and best practices including protocols, dataclasses, context managers, decorators, async/await, type hints, and package organization. Use when working with Python code to apply Pythonic patterns.