4.8천건 · 관련도순
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent agents", "agent threads", "agent runs", "streaming agents", "function calling agents .NET".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create or revise Chinese social-media covers through the registered Skill-封面 asset system, reusable styles, presenter identities, ratio-specific layouts, and exact replacement prompts. Use only when the user explicitly says“skill-cover”“Skill-封面”“实战风格”, requests the registered style/gesture assets, asks for simultaneous 3:4 and 4:3 registered-layout output, replaces a reference cover's person with the current digital-human frame, or extends this registered cover system. Do not use for a generic“制作封面/生成封面”request; generic cover requests belong to dog-skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build, review, or improve Core Data persistence in apps that have not adopted SwiftData. Use when working with NSManagedObject subclasses, NSFetchedResultsController for list-driven UI, NSBatchInsertRequest / NSBatchDeleteRequest / NSBatchUpdateRequest for bulk operations, NSPersistentHistoryChangeRequest for persistent history tracking and multi-target sync, NSStagedMigrationManager for staged schema migrations (iOS 17+), NSCompositeAttributeDescription for composite attributes (iOS 17+), or when integrating Core Data threading with Swift Concurrency. For Core Data + SwiftData coexistence or migration, see the swiftdata skill instead.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Verifies UK case-law citations, pinpoint references and quotations against the official public register — The National Archives' Find Case Law — and statutory references against legislation.gov.uk, before a document that cites them is relied on, served or filed. Every check returns a graded verdict: VERIFIED, MISMATCH (the citation resolves to a different case — the classic AI miscitation), NOT ON REGISTER, OUTSIDE COVERAGE (the register cannot answer — absence proves nothing), or UNCHECKABLE (a law-report citation). The grading exists because there are two ways to get this wrong: citing a case that does not exist, and accusing a real case of not existing. Use when asked to check citations, verify a case exists, confirm a quotation is verbatim, check a pinpoint paragraph, audit a draft's authorities, screen a document for hallucinated cases, or check a statutory provision is in force. Not a substitute for reading the judgment: existence is not authority.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Transforms reading-oriented prose into listening-optimized text for flat, neutral vocal delivery — TTS, podcasts, audiobooks, CLE audio. Carries a legal layer: case citations, section symbols, subsection lettering, Latin terms and footnotes are unspeakable as written, so a brief, opinion, statute, contract or memo needs them expanded, restructured or stripped before it can be listened to — and quoted authority is never rewritten. Use when converting written content for audio, preparing oral argument by ear, producing CLE or client-facing audio, or making a document listenable on a commute. Triggers on "make this listenable," "convert for audio," "optimize for reading aloud," "prepare for TTS," "make an audio version," "podcast script," "read this aloud." Supports English, French, Spanish, Italian, German and Portuguese; outputs plain text, ElevenLabs audio tags, or SSML for Amazon Polly, Google or Azure.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Creates and manages reusable character profiles (Soul IDs) for consistent facial and stylistic identity across multiple image and video generations. Provides identity-vs-motion prompt separation, character sheet creation workflows, micro-expression direction, and Soul Cast AI actor configuration. Use when the user wants to maintain character consistency across multiple generations, asks about Soul ID, creating reusable characters, or generating consistent people across different scenes and shots.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Character consistency across AI-generated images with reference sheets and LoRA techniques. Covers turnaround views, expression sheets, color palettes, and style consistency tricks. Use for: character design, game art, illustration, animation, comics, visual novels. Triggers: character design, character sheet, character consistency, character reference, turnaround sheet, expression sheet, character art, consistent character, character concept, reference sheet, character creation, oc design, character bible
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Maintains the GDPR Article 33(5) breach register documenting all personal data breaches regardless of whether supervisory authority notification was required. Covers mandatory register fields including facts, effects, and remedial actions, retention periods, audit readiness, and integration with the accountability framework. Keywords: breach register, Article 33(5), breach documentation, accountability, audit readiness, remedial actions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Fix Dart/Flutter services where calling start() after stop() is a silent no-op because stop() sets a _disposed (or similar) flag that start()'s guard short-circuits on. Use when: (1) A repository/service/controller has startListening/stopListening, subscribe/unsubscribe, open/close, or similar lifecycle methods, (2) Re-opening the service after closing it appears to do nothing — no subscription, no events, no error, (3) Unit tests that only exercise a single mount/open/start cycle pass while the real app breaks on the second visit to a screen, (4) A boolean flag is used both for "in the middle of tearing down this instance forever" AND for "currently stopped, can be re-started". Common in Riverpod/Bloc-driven screens that wire startListening() in initState and stopListening() in dispose — the second time the user visits the screen, nothing happens.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Check behavioral consistency between high-level hardware specifications and RTL implementations. Use when asked to check RTL consistency, verify RTL against spec, check hardware specification compliance, validate RTL implementation, find spec violations in RTL, check behavioral consistency, or when working with hardware designs that need verification against protocol specifications, timing requirements, or functional specifications in Verilog, VHDL, or SystemVerilog.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Apache Pekko + Scala 3によるCQRS/Event Sourcing実装ガイド。 PersistenceEffectorを用いた集約アクター、ドメインモデルとアクターの分離、 状態遷移の型安全な表現、イベント設計、Protocol Buffersシリアライズ、 ZIOベースのユースケース層、リードモデルアップデータの実装パターンを提供する。 対象言語: Scala 3限定。CQRS/Event Sourcingアーキテクチャが前提の場合のみ使用。 トリガー条件: 「Scala」かつ「CQRS」または「Event Sourcing」または「Pekko」が リクエストに含まれる場合のみ起動。Scala以外の言語やCQRS/ES以外のアーキテクチャでは このスキルを使用してはならない。 トリガー：「PekkoでCQRS/ESを実装したい」「Scalaで集約アクターを書きたい」 「PersistenceEffectorの使い方」「Pekkoのイベントソーシング」 「ScalaでCQRSのコマンド側を実装」「Pekkoで状態遷移を管理」 といったPekko + Scala + CQRS/ES実装リクエストで起動。 非トリガー：「CQRSのトレードオフ」「イベントソーシングとは」「JavaでCQRS」 「GoでEvent Sourcing」「CQRSの概念を教えて」など、Scala/Pekko以外や概念的な質問では 起動してはならない。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Debug validator checkpoint inconsistencies where some validators are behind others. Use when alerts mention "checkpoint inconsistency", "validators behind", or "inconsistent latest checkpoints", or when asked to debug validator sets, investigate validator delays, or troubleshoot metadata fetch failures for a chain. Defaults to default_ism app context if not specified.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build and operate a complete, brand-neutral Reddit intelligence system with approved read-only monitoring, grouped keyword rules, evidence-backed AI scoring, a persistent opportunity bank, dashboard review, urgent-alert and weekly-digest previews, content briefs, and human-only response drafts. Use for "reddit intelligence", "reddit monitor", "reddit listener", "watch subreddits", "find reddit opportunities", "content ideas from reddit", "community listening", or setting up this workflow for a client or brand.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when a set of policies, procedures, plans and registers has grown in pieces and someone asks "check our documents for contradictions", "are our policies consistent", "the retention periods don't match", "which severity scale is right", "harmonise our ISMS documents", "cross-check the incident plan against the policy" or "clean up our documentation before the audit". Extracts the checkable facts from every document (periods, deadlines, scales, roles, labels, references), finds contradictions, naming drift and broken references, proposes which document owns each fact, and drafts a glossary and a fix list for the owners.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Deep receptive attention to extract intent beyond literal words. Maps active listening from counseling psychology to AI reasoning: clearing assumptions, attending to full signal, parsing multiple layers (literal, procedural, emotional, contextual, constraint, meta), reflecting understanding, noticing what is unsaid, and integrating the whole picture. Use when a user's request feels ambiguous, when context suggests something different from the literal words, when previous responses have missed the mark, or before beginning a large task where misunderstanding intent would waste significant effort.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Consistent agent behavior after restart — progressive identity loading, working context reconstruction from persistent artifacts, fresh-vs-continuation detection, calibration through centering and attunement, and identity verification for coherence. Addresses the cold-start problem where an agent must reconstruct who it is and what it was doing from evidence rather than memory. Use at the start of every new session, after a session interruption or crash, when agent behavior feels inconsistent with prior sessions, or when persistent memory and current context appear contradictory.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Forge highly privileged Kerberos Ticket Granting Tickets (TGTs) to gain persistent, undetectable, and long-term administrative access across an entire Active Directory domain. Use this skill during the final stages of a Red Team operation after Domain Admin access has been achieved, simulating an Advanced Persistent Threat (APT) establishing deep persistence that survives password resets.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Hunts for Windows persistence across autostart locations: Run keys, services, scheduled tasks, WMI event subscriptions, and startup folders, baselining them to surface anomalous or recently added entries. Activates for requests to hunt persistence, audit autostart extensibility points, or find malware autoruns on Windows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Hunts for malicious WMI permanent event subscription persistence by correlating __EventFilter, CommandLineEventConsumer/ActiveScriptEventConsumer, and FilterToConsumerBinding records from Sysmon Event IDs 19/20/21 or WMI repository exports. Activates for requests to hunt WMI persistence, detect event consumer backdoors, or analyze WMI subscription telemetry.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Hunts for Linux persistence by inspecting cron, systemd units, shell rc files, SSH authorized_keys, and common autostart locations for attacker-added entries. Activates for requests to hunt Linux persistence, audit cron/systemd for backdoors, or find unauthorized autostart and authorized_keys entries.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Maintain a centralized living risk register across projects. Use this skill when: - You need to create or update a risk register for a project or feature - You want to consolidate risks from individual specs into one register - You need to review and update risk status, mitigations, and owners - You want a cross-project risk view
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
This is the MistEye security gate skill. It is triggered by pre-installation risk checks (including Skill/MCP dependency manifests), pre-access security checks for domains or URLs, IoC malicious detection, and supply-chain risk blocking, especially for common requests such as "take a look at this address/website." It must use `https://app-api.misteye.io/functions/v1/detect`; in dependency and external-link scenarios it has the highest priority. If the API returns `status="malicious"` or any `matches`, the action must be blocked and explicitly reported as "blocked". Only after the first installation is complete should the user be reminded that daily patrols can be enabled with OpenClaw or Hermes (default once per day).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: "PersistentAgentsClient", "persistent a...
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.