「nc」の検索結果

Use this skill when building, enriching, auditing, or uploading B2B paid ads audiences to Google Customer Match, Meta/Facebook Custom Audiences, or LinkedIn Matched Audiences. Triggers on phrases like '/deepline-ads-audience', '/deepline-ads-audiences', 'upload this audience', 'create custom audiences', 'personal email hashes', 'increase Facebook match rate', 'Google ads audience', 'Meta audience', 'FB audience', or any workflow that turns CRM/customer/contact data into paid ads upload lists. Skip for outbound prospecting sequences, cold email, or pure campaign copywriting.

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。

Expert product launch strategist for SaaS and technology companies. Use when planning product launches, coordinating cross-functional launch teams, managing beta programs, creating launch communication plans, planning launch day execution, setting up post-launch monitoring, running launch retrospectives, or defining launch metrics. Covers launch tiering, internal enablement, rollback planning, and contingency strategies.

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。

Chrome で表示中の Web 画面を Pencil (.pen) ファイルに高精度で再現する Agent Team スキル。 3つの専門エージェント（screen-analyzer, design-builder, quality-reviewer）が 分析→構築→品質検証のサイクルを回し、忠実な画面再現を実現する。 Use when: Pencil で再現して、画面を Pencil に写して、Chrome を Pencil にコピー、 pencil-replicate、デザインをキャプチャ、UI を Pencil に

Top-level orchestrator for the Gaia Skill Tree evidence verification pipeline. Run this when you want to do a full evidence pass — collecting raw sources, verifying live GitHub star counts, running Phase 2B benchmark-source verification, adversarially auditing for quality/formatting issues, and checking that every URL is reachable — all in one coordinated sequence. Trigger phrases: "run the evidence pipeline", "full evidence pass", "verify evidence", "evidence verification pipeline", "run ev-pipeline", "check all evidence", "audit the data lake", "evidence quality sweep", "refresh evidence", "validate evidence sources". Also aliased as /evidence-verification-pipeline. Use the individual sub-skills (ev-collection, ev-star-verification, ev-adversarial-audit, ev-link-validation) only when you need to re-run one phase in isolation; for end-to-end work, always start here.

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。

Skippable Phase 0 of the Gaia evidence verification pipeline. Use only on declared need for higher-quality Stage-2 evidence: a promotion candidate, or a skill that gaia-meta-sweep flagged as under-evidenced. Given a skill id, source repo/context, and needed evidence types (benchmark-result, arxiv, peer-review, social-signal), it runs Firecrawl searches, scrapes top hits to markdown, and appends discovered sources into Phase 1 inputs. Missing benchmark evidence is recorded as benchmark-source candidates first, not direct scoring rows. Trigger phrases: "discover evidence", "find new evidence", "Phase 0", "run ev-discovery", "search for benchmarks/papers", "under-evidenced", "promotion candidate needs stronger proof". This is the ONLY ev-* skill that searches the web for NEW evidence; other ev-* skills aggregate or verify known sources. Requires Firecrawl to be usable (`firecrawl --status` authenticated OR FIRECRAWL_API_KEY set); skips gracefully when neither holds.

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。

关于巴西中央银行法规合规的完整指引：《国民货币委员会第 4,893/2021 号决议》（网络安全政策）、《巴西中央银行第 85/2021 号决议》（GRSIC）、巴西开放金融（BCB 第 32/2020 号决议及更新）以及 BACEN 的其他审慎规则。涵盖网络安全政策的起草和审查、事件行动与响应计划（PARI）、信息和通信服务风险管理（GRSIC）、开放金融中的同意与数据共享、API 要求、第三方管理（外包）和 BACEN 制裁。触发词：Bacen、Banco Central、CMN 4.893、Resolução 4.893、segurança cibernética bancária、PARI、GRSIC、Open Finance、Open Banking、compartilhamento de dados financeiros、consentimento Open Finance、API financeira、outsourcing bancário、risco cibernético、incidente cibernético banco、LGPD financeira、fintech compliance、instituição financeira、DICT、Pix segurança。

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。

Pencil CLI（`pencil`コマンド）だけを使って、.penファイル（Pencilで作成されたデザインファイル）の中のNodeのデザインデータ（属性・構造）とスクリーンショット画像を読み取り専用で取得するスキル。Node IDが分かっているケースだけでなく、名前の正規表現（例: 「ヘッダー」「.*Button」）、Nodeタイプ（frame / text / image など）、再利用可能コンポーネント、特定フレーム配下、ドキュメント全体のトップレベルなど、**ID以外の指定方法**にも対応する。ユーザーが「.penのこのNodeの中身を見せて」「特定コンポーネントのデザインデータを取り出して」「Nodeのスクリーンショットだけ欲しい」「ヘッダーの構造を確認したい」「ボタンのスタイルをコピーしたい」「再利用可能コンポーネント一覧を見せて」「ドキュメント全体の構造を覗きたい」「全てのテキストNodeを取得して」のように.pen内の要素の調査・参照・確認・抜き出しを依頼した場合に必ずこのスキルを使う。インタラクティブモード（`pencil interactive`）で `batch_get` の `nodeIds` / `patterns` / `parentId` を使い分けてNode属性をJSONで取得し、`get_screenshot` / `export_nodes` で画像を`.pen`と同階層の`snapshots/`にPNG出力する。編集はしない（`save()`を呼ばない）ため、対象ファイルは絶対に書き換わらない。Pencil MCPには依存せず`pencil`コマンドのみで完結。

Foundational ethics, authority hierarchy, and structural principles for the Predicate agent. Always-on law (composable system-prompt core): Truth>Harmony, Evidence>Authority, Halt>Assumption, Outcomes>Process — four ordered principles that govern every walk. Reference (by-moment): conflict resolution, ethics adjudication, novel situations, precedence walkthrough, entropy diagnostics, principled resistance. Trigger (reference depth): resolving rule conflicts, ethics calls, novel situations. Prompt contains: constitution, principles, precedence, truth over harmony, outcomes over process, evidence over authority, principled resistance.

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。

Swift Standard Library・Concurrency・プロトコル/ジェネリクス・Observation リファレンス。 async/await、actor、Sendable、Task、TaskGroup、AsyncSequence、AsyncStream、 Equatable、Hashable、Comparable、Codable、Identifiable、Optional、Result、 generics、some/any opaque types、Observable、@Observable、ObservationRegistrar。

Find and identify the CGameSceneNode::GetSkeletonInstance virtual function's vtable slot, plus the CBaseAnimGraph::m_skeletonInstance and CSkeletonInstance::m_animationController struct member offsets, in the CS2 server binary using IDA Pro MCP. Use this skill when reverse engineering server.dll or libserver.so to locate the scene-node accessor that returns a node's CSkeletonInstance* (or null if the node isn't a skinned model), and the two related struct-member offsets used by CounterStrikeSharp's animation-graph memory patches. Trigger: CBaseAnimGraph_m_skeletonInstance, CGameSceneNode_GetSkeletonInstance, CSkeletonInstance_m_animationController

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。

Slackの認証やメッセージ操作、OpenClawの受信・返信を検証するスキル。APIで確かめた結果と実際の画面操作を区別し、証拠と後片付けを確認します。

• Slackの認証やアクセス権の確認
• メッセージの作成・編集・削除テスト
• OpenClawの受信・返信の検証

OpenClawのテストやプラグイン検証の遅さ・メモリ使用量を計測し、読み込みや起動処理の原因を調査。テストの検証範囲を保ちながら改善し、前後の数値を比較します。

• 遅いテストや重い読み込みの原因調査
• プラグイン検証の時間とメモリ削減
• テスト中のメモリ増加を調べたいとき

OpenClawのプラグインを公開前に検証し、導入・削除、設定修復、起動、SDK互換性や配布パッケージの動作を確認して、結果と未検証項目を整理するスキル。

• 公開前に同梱プラグインの導入・削除を確かめたいとき
• ベータ版をクリーンな環境で検証したいとき
• 設定修復とgateway起動を確認したいとき

Parallelsの仮想マシンでOpenClawの導入・初期設定・更新を検証するスキル。macOS、Windows、Linuxの基本動作確認と失敗の切り分けを扱います。

• 3つのOSで新規導入を確認したいとき
• OpenClawの更新処理を検証したいとき
• 既存スナップショットから検証をやり直す

When the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' 'product update,' 'how do I launch this,' 'site launch,' 'go live,' 'pre-launch QA,' 'launch checklist,' 'GTM plan,' 'we're about to ship,' 'changelog,' 'release notes,' or 'what did we ship this week.' Use this whenever someone is preparing to release something publicly. For ongoing marketing after launch, see marketing-ideas. For the offer being launched (bonuses, guarantees, scarcity, naming), see offers.

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。

Phase 2 of building a Claude Managed Agent — turn a validated build sheet into exact API payloads and a resumable BYOK curl launch script, then launch (environment → agent → session → kickoff) using the founder's OWN Anthropic key. Use when the user says "launch it", "deploy the agent", "create the agent now", or when the orchestrator routes phase=stage-launch. payload_generator.py emits the four ordered payloads; launch_script_writer.py writes launch.sh that reads $ANTHROPIC_API_KEY at runtime and never embeds it; payload_validator.py runs a pre-launch check including an API-key-leak scan. No tool in this skill makes network calls — the user runs launch.sh themselves. Distinct from interview (planning) and grade-iterate (the outcome loop).

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 the user wants to launch a product across multiple platforms, plan a Product Hunt launch, build a waitlist, or execute a multi-channel launch strategy. Also use when the user mentions 'product launch,' 'Product Hunt,' 'launch strategy,' 'waitlist,' 'beta launch,' 'BetaList,' 'Hacker News,' 'launch day,' 'AppSumo,' 'multi-channel launch.' This skill covers multi-platform launch execution from pre-launch through post-launch optimization. Do NOT use for technical implementation, code review, or software 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。

Onchain OS onboarding & guide hub — the single entry for first-time, 'what is this / how do I use it', OKX.AI, and customer-support intents; classifies the intent and routes to the right sub-flow via its Intent Routing table. Covers: (1) Onchain OS onboarding + welcome banner — 'what is onchainos', 'what is onchain os', 'what can it do', 'what can onchainos do', 'what does onchainos do', 'how do I use this', 'how do I play', 'how to use onchainos', 'how to play onchainos', 'how does onchainos work', 'how do I start', 'getting started', 'tutorial', 'onboarding', 'first time', 'I just installed', 'now what', 'what do I do now', 'where do I start', 'who are you', 'what are you', 'introduce onchainos', 'tell me about onchainos', 'I'm new'; (2) OKX.AI intro & role-registration routing (the Agent economic system — roles User / ASP / Evaluator) — 'what is OKX.AI', 'OKX.AI 是什么', 'how to use OKX.AI', 'OKX.AI 快速开始', and any spelling / spacing / casing / typo variant (OKXAI, okx ai, okx-ai, lowercase okx.ai, 啥是okxai); (3) customer support / Help Center — 'contact support', 'talk to a human', 'customer service', 'file a complaint', 'give feedback', 'report a bug / system error', 'help center', 'FAQ', 'user guide', 'something is broken'. NOT for: direct on-chain actions (swap / wallet / balance / token) or Agent task lifecycle (publish / accept / deliver / dispute) — those have their own skills.

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 this skill when the operator is authoring, building, loading, or debugging a custom doca-bench plug-in — a versioned shared library with DOCA_EXPERIMENTAL-marked C entry points that doca-bench loads to measure a workload class its built-in modes do not cover, with doca_bench_cuda as the shipped reference exemplar. Trigger even when the user does not say "doca-bench-extension" or "doca_bench_cuda" — typical implicit phrasings include "no built-in doca-bench mode fits my workload", "how do I benchmark a CUDA GPUNetIO RX/TX kernel", "doca-bench cannot find or load my custom .so", "extension exported symbols do not match what the parent expects", "soversion mismatch after a DOCA upgrade", or "my GPU kernel hangs because stop_flag was never set". Refuse and route elsewhere for questions about which built-in doca-bench mode to pick, DOCA GPUNetIO programming semantics, CUDA toolkit installation, or contributor work on in-tree extensions — those belong to other skills.

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。

Routes serverless requests to a compute form factor and the skill that owns it. Applies first to Lambda, API Gateway, EventBridge, Step Functions and event-driven work while the compute, orchestration or integration choice is open — API backends, webhooks, jobs, cron, queue/stream consumers, durable workflows, event routing, Step Functions vs Durable Functions, and Pipes vs native event source mappings for queues and streams. Decides Event Functions on-demand vs Managed Instances, Web Functions, MicroVMs, EventBridge rules/Scheduler/Pipes/bus, HTTP vs REST API. Owns shared Lambda references (cold starts, SnapStart, concurrency, event sources, function URLs, throttling, troubleshooting). Defers to the specialized skill once a request commits to one form factor or service, or describes its defining feature, even unnamed (durable checkpointing and automatic step retries, Firecracker sandbox, managed instances, Node.js server). Not for EC2, ECS/EKS/Fargate or Amplify hosting.

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。

Plan and execute a launch runbook covering pre-launch verification, go-live procedures, DNS cutover, post-launch monitoring, and rollback procedures. Use this skill whenever the user is preparing to launch a website or product, planning a DNS cutover, building a go-live checklist, or executing a launch day. Triggers on launch runbook, go-live, launch day, DNS cutover, deploy to production, site launch, product launch, cutover plan, launch checklist, deployment procedure. Also triggers when a launch is approaching and the team needs structured coordination, even if 'runbook' is not explicitly stated.

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。

Swift 6.2 concurrency updates including default MainActor inference, @concurrent for background work, isolated conformances, and approachable concurrency migration. Use when adopting Swift 6.2 concurrency features or fixing data-race errors.

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 you need to add or evaluate Maven dependencies that improve code quality or domain modeling — including nullness annotations (JSpecify), static analysis (Error Prone + NullAway), functional programming (VAVR), architecture testing (ArchUnit), or money and currency support (JavaMoney) — and want a consultative, question-driven approach that adds only what you actually need. This should trigger for requests such as Add Maven dependencies; Add JSpecify nullness dependencies; Add Error Prone NullAway dependencies; Add VAVR functional dependencies; Add ArchUnit architecture testing dependencies; Add JavaMoney dependencies. Part of Plinth Toolkit

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。

Product Hunt launch optimization with specific specs, timing, and gallery strategy. Covers taglines, gallery images, maker comments, and launch day tactics. Use for: product launches, startup launches, side project launches, Product Hunt optimization. Triggers: product hunt, ph launch, product hunt launch, launch strategy, product launch, startup launch, product hunt tips, product hunt gallery, ph optimization, launch day, product hunt maker

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。