字面の同一性ではなく意図(目的)の同一性に基づいてコードの共通化を判断するスキル。 DRY原則の誤適用(字面が同じだが意図が異なるコードの共通化)を検出し、正しい共通化判定を 支援する。コードレビュー、リファクタリング、新規実装時に重複コードの扱いを判断する場合に使用。 対象言語: 言語非依存(Rust, Java, TypeScript, Go, Python, Kotlin, Scala等すべて)。 トリガー:「重複コードを共通化したい」「DRYに従いたい」「似たコードがある」 「この2つの関数をまとめたい」「コードの重複を減らしたい」「共通化すべきか」 「リファクタリングで共通関数にしたい」といった重複コード・共通化関連リクエストで起動。
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1.3万 件 ・ 関連度順
概要と使いどころ
Audit guardrail coverage — bypass vectors, false positive rates, policy gap analysis, red-team scenarios. Use when asked to "audit our AI guardrails", "can our filters be bypassed", or "check guardrail false positives".
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。
Design drift alerts and escalation — thresholds, runbooks, and retrain triggers. Use when asked to "alert on model drift", "when should we retrain", or "write a drift escalation runbook".
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。
Evaluate model performance — check for accuracy drops, data drift, and error patterns. Use when asked about "model accuracy dropped", "evaluate the model", "check for drift", or "model performance".
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。
Draft a contract or policy document from a description or template. Use when asked to "draft an NDA", "write an MSA", or "we need a vendor contract".
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。
architecture で選定したデータ基盤(Microsoft Fabric / Azure Databricks / Foundry IQ)を、事前確認 → plan と hash 承認 → デプロイ → セマンティック層 → runtime 検証 → 計算停止まで API で構築し、MCP 接続情報を Cowork / Copilot Studio / Foundry へ引き渡す。Dataverse は dataverse スキル、データ投入は data-migration スキルへ委譲する。
Real-time quotes, K-line charts, order book, trade ticks, intraday capital flow, market sentiment temperature, trading session schedule, security lists, exchange rates, and IPO calendar for HK/US/A-share/SG via Longbridge. Also covers ADR premium and FX carry frameworks. Triggers: "股价", "行情", "K线", "走势", "盘口", "资金流", "市场温度", "汇率", "IPO", "打新", "隔夜股", "ADR溢价", "外汇套息", "K線", "盤口", "資金流", "市場溫度", "匯率", "ADR溢價", "外匯套息", "现在多少钱", "多少钱", "stock price", "quote", "kline", "chart", "depth", "orderbook", "capital flow", "market sentiment", "exchange rate", "IPO calendar", "security list", "ADR premium", "fx carry", "market open", "trading hours", "开市", "溢价", "NVDA.US", "700.HK", "600519.SH", "股價", "走勢", "開盤", "今天開市"
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。
Implement current or given task plan, optionally as an implementation draft attachment only. Use when the user calls to "implement", "realize", "draft", "dry-run", or "test-drive" the "task", "plan", "spec", or "specification".
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。
Draft replies to comments on your Facebook Page's posts, in your Page voice. Use when the user pastes the comments under one of their Page posts and wants on-brand replies that earn more comments and shares. Drafts 1-3 variants per comment using proven templates (answer, thank plus add value, handle the complaint, turn it into a share). Publora has no Facebook comment endpoint, so every draft returns as a copy-paste block to post yourself. Not for writing top-level posts (use fb-post-writer).
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, draft, audit, and publish posts for a Facebook Page. Use when the user wants to write a short punchy Page post or a longer story post, remove AI tells from a draft, reverse-engineer the hook from a high-share Page post, draft replies to comments on their Page, or plan a week of Facebook Page content. Page posts publish via the Publora API. User provides notes or a Facebook Page post URL, the skill drafts, the user approves, then it publishes.
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。
Monitors AWS CloudFormation stacks for configuration drift using the AWS SDK DetectStackDrift and DescribeStackResourceDrifts APIs. Generates remediation templates and integrates with AWS Config rules for continuous compliance.
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, draft, audit, and publish posts and threads for Threads (Meta). Use when the user wants to write a single Threads post or a multi-post thread, remove AI tells from a draft, reverse-engineer the hook from a viral Threads post, draft a reply or quote post, or plan a week of Threads content. Posts and threads publish via the Publora API, which auto-splits long content into a connected multi-post thread. User provides notes or a post URL, the skill drafts, the user approves, then it publishes.
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。
Draft a reply or a value-add quote post for a specific Threads (Meta) post from its URL. Use to reply in a conversation, answer a creator, or quote-post with added value. Parses the post URL, reads pasted context, decides reply vs quote post, and drafts 1-3 warm variants in your voice. A reply to another user is a separate post and Publora cannot target it, so the draft is returned as a copy-paste block to post yourself. Not for top-level posts (use threads-post-writer).
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 whenever writing, reviewing, or debugging .NET/C# code that uses the BallisticCalculator NuGet package (namespace BallisticCalculator) or its Gehtsoft.Measurements unit types — even when the user doesn't name the package explicitly but is clearly doing external/interior ballistics in .NET (bullet drop, velocity, energy, windage, spin drift, time of flight, zeroing a scope) for rifles, air rifles, bows, or artillery. Covers the full public API (Ammunition, Rifle, Atmosphere, Wind, ShotParameters, TrajectoryCalculator, TrajectoryPoint); standard, custom, .drg, and multi-BC drag tables; saving/loading data and building your own file format around it (BXml and System.Text.Json serialization); and building or rendering scope reticles (e.g. to SVG). Also use it for this library's Gehtsoft.Measurements Measurement<T> unit types (DistanceUnit, VelocityUnit, AngularUnit, WeightUnit, PressureUnit, …). Skip for: generic physics or projectile-motion exercises, a different ballistics library (e.g. GNU/JBM), game-engine or Unity projectile motion, plain unit conversions, and non-code ballistics questions (load-data or forensics advice). Self-contained: no access to the library source or binaries is required — prefer this over scanning the package to rediscover the API. Describes 1.1.13+, including the named ZeroRangeCantBeReachedException / TrajectoryCannotBeCalculatedException failures.
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。
Create or update an ADR under `docs/ADR/` for architectural decisions, dependency changes, data-model changes, or cross-cutting policy shifts. Use when the user asks to write, update, or document an ADR, record a design decision, capture architecture trade-offs, or justify a repo-wide technical policy.
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。
Draft RFIs and manage the ambient issue registry. Reviews issues surfaced by other skills, escalates to formal RFIs. Triggers: 'draft RFI', 'write RFI', 'drawing conflict', 'review issues', 'issue queue'.
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。
Generate cinematic scrolltelling websites where scroll drives the narrative: Lenis smooth scroll, GSAP ScrollTrigger cinematic section reveals with fluid OKLCH color transitions, Three.js painted-texture shader backgrounds reactive to cursor, scroll, velocity, and chapter progress. Four modes — chapter-reveal (scroll-paced storytelling), painted-backdrop (reactive shader canvas), full-cinema (complete cinematic site), catalog (all shader presets side by side). This skill should be used when building storytelling websites, scroll-driven experiences, cinematic landing pages, or any page where sections reveal as chapters with color transitions and ambient 3D backgrounds. Triggers on scrollytelling, cinematic scroll, scroll-driven storytelling, Lenis smooth scroll, GSAP ScrollTrigger, scroll chapter reveal, scroll color transition, painted shader background, narrative scroll website, premium scroll experience, shader catalog.
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。
Decide whether a protein has a pocket worth targeting, and where it is, before committing to a docking or design campaign. Use this skill to run fpocket cavity detection, rank cavities by druggability and volume, compare apo and holo conformations to spot induced fit, identify allosteric and cryptic cavities that only open in simulation, and convert a chosen cavity into the search box coordinates a docking run needs. Also trigger on fpocket, cavity detection, druggability score, alpha sphere, cryptic pocket, allosteric site, pocket volume, hotspot mapping, or undruggable target assessment.
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。
primekg
無料Query the Precision Medicine Knowledge Graph (PrimeKG) for multiscale biological relationships across genes and proteins, drugs, diseases, phenotypes, pathways, biological processes, exposures and anatomy. Use this skill to search entities by name, pull direct neighbours and their evidence types, summarise the local network around a disease, and find direct or two-hop drug-disease connections for repurposing hypotheses. Also trigger on PrimeKG, kg.csv, Harvard Dataverse knowledge graph, disease_protein, drug_protein, indication and contraindication edges, or network pharmacology over a biomedical knowledge graph.
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。
Estimate how likely a protein therapeutic is to provoke an anti-drug antibody response, and locate the sequence regions responsible. Use this skill to tile a sequence into peptides, predict class II MHC presentation across a population-representative allele panel, aggregate predicted binders into a per-region and whole-molecule risk score, compare a candidate against its closest human germline, and decide which liabilities are worth deimmunising. Also trigger on immunogenicity, anti-drug antibody, ADA, T-cell epitope, MHC class II, HLA-DRB1, NetMHCIIpan, NetMHCpan, deimmunisation, tregitope, or population coverage.
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。
Fit cognitive drift-diffusion models (Ratcliff DDM) to reaction time and accuracy data with parameter estimation (drift rate, boundary separation, non-decision time), model comparison, and parameter recovery validation. Use when modeling binary decision-making with reaction time data, estimating cognitive parameters from experimental data, comparing sequential sampling model variants, or decomposing speed-accuracy tradeoff effects into latent cognitive components.
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。
Trademark filing procedures covering EUIPO (EU), USPTO (US), and WIPO Madrid Protocol (international). Walks through pre-filing conflict checks, Nice classification, descriptiveness assessment, mark type decisions, filing basis strategy, office-specific e-filing procedures, Madrid Protocol extension, post- filing monitoring, and open-source trademark policy drafting. Use after running screen-trademark to confirm the mark is clear, when ready to secure trademark rights in one or more jurisdictions.
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 deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync/DynamoDB including schema modeling, enum types, relationships, authorization rules), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify/ directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM/CDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).
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。
msl
無料Apply the Minimum Sufficient Language (MSL) principle through the MSL Kernel to write anything a reader must act on. Bind the reader and what they already know, partition facts from the machinery that produced them, emit each admitted fact as an action, a verification, a judgment, or a state, and stop when every claim is checkable and the reader can act. Use for status updates, work-in-progress reports to your own user, closeout and convergence comments, tickets, pull request and review write-ups, incident and postmortem notes, emails, memos, and any draft for readers outside the work. Also use when the user says MSL, Minimum Sufficient Language, write this for stakeholders, drop the jargon, make this readable, or asks for a paste-ready draft.
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。