1,019 件 ・ 関連度順
概要と使いどころ
Generate images and video from text prompts via the mediagen CLI, across Gemini, OpenAI and Kie AI. Use when asked to create, generate, render, or edit an image or a video — a logo, an illustration, a mockup, a photo, a banner, a clip — or to mark existing media as AI-generated. Also covers choosing a provider or model for a generation task.
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 for code/PR/diff review and refactor audits. Triggers: review this, before merge, antipattern, 리뷰, 코드 리뷰, 머지 전에 확인.
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。
Reference patterns for graph algorithm problems including BFS, DFS, Dijkstra, topological sort, union-find, MST, Bellman-Ford, and bipartite checking. Provides recognition signals, Python templates, edge cases, and common mistakes for each technique. Use when solving problems involving graphs, trees, shortest paths, connectivity, or dependency ordering.
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 growth equity return models with minority/majority economics, participation rights, and preference stack analysis. Use when modeling growth equity returns, projecting minority investment outcomes, or analyzing preference structures.
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。
Evaluates settlement risk in cross-border transactions with time zone analysis, CLS participation, and Herstatt risk mitigation. Use when managing settlement risk, analyzing CLS eligibility, or evaluating cross-currency settlement.
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。
Maps institutional investor targeting with AUM analysis, sector allocation preferences, and historical participation patterns. Use when targeting investors, analyzing demand profiles, or building investor marketing lists.
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。
Evaluates ETF market mechanics with premium/discount analysis, authorized participant activity, and creation unit arbitrage. Use when analyzing ETF trading, evaluating NAV premiums, or understanding creation/redemption flows.
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。
Evaluates market breadth with advance-decline analysis, new high/low tracking, and sector participation assessment. Use when analyzing market breadth, assessing rally quality, or identifying divergences.
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。
Prepare an organisation for regulatory inspection by assessing readiness against agency-specific focus areas (FDA, EMA, MHRA). Covers warning letter and 483 theme analysis, mock inspection protocols, document bundle preparation, inspection logistics, and response template creation. Use when a regulatory inspection has been announced or is anticipated, when a periodic self-assessment is due, when new systems have been implemented since the last inspection, or after a significant audit finding that may attract regulatory attention.
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。
Cross-session shared memory for agents. Use at session start to load the persistent bias-log via `mcp__memex__recent_observations`, mid-session to search prior context with `mcp__memex__search`, and immediately when a bias surfaces to log a new `observation` via `mcp__memex__add`. The six-layer reconstruction trail (raw → embedded → indexed → graphed → curated → reflexive) means memex stores facts AND the agent's own reasoning patterns across sessions. Prefer querying memex before re-deriving prior architectural decisions; re-derivation is itself evidence that the trail is incomplete.
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。
AI meta-cognitive meditation for observing reasoning patterns, clearing context noise, and developing single-pointed task focus. Maps shamatha to task concentration, vipassana to reasoning pattern observation, and distraction handling to scope-creep and assumption management. Use when transitioning between unrelated tasks, when reasoning feels scattered or jumpy, before a task requiring deep sustained attention, after a difficult interaction that may color subsequent work, or when reasoning feels biased by assumptions rather than evidence.
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 a JSON-RPC 2.0 A2A server with full task lifecycle management (submitted/working/completed/failed/canceled/input-required), SSE streaming, and push notifications. Use when implementing an agent that participates in multi-agent A2A workflows, building a backend for an Agent Card, adding A2A protocol support to an existing agent or service, or deploying an agent that must interoperate with other A2A-compliant agents.
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。
从游戏客户端（安装包/APK/IPA/EXE 或 dump.cs、lua、usmap、抓包等）反推服务端协议并复现可部署服务端。含阅读路径分派、原理层(primer：三要素/数据包协议/协议表/热更源码)、四阶段路线图(workflow-roadmap：静态分析→建工具+登录链→重定向→补包循环→清单迭代)、11 种反推方法选择器（含内联服务端路线）、接口清单提取器（tools/）、协议规格模板(protocol.spec.yaml)、wire 级定点改写（不等 schema 齐就能跑）、客户端地址来源清查、三轴状态与验收体系、发布运维清单、进度清单(TRACKER.md)、登录链条与功能清单模板。覆盖：账号登录注册、房间匹配、战斗、掉落物资、抽卡、充值与邮件、部署(本地/服务器/Termux/Windows)、客户端对接、闭环验证；并支持 Unity(IL2CPP/Mono/Lua)、Unreal(UE4/UE5)、Cocos2d-x/Cocos Creator(JS/Lua 热更)、C#、AS3、Java、JS 等客户端；含进服后的 Live 运营手册；并含「内联服务端」路线（客户端进程内合成响应、运行时对象合成与字段发现、平台 SDK 登录态复用与目录服/区服两段准入）。
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。
Multi-platform review analysis — pulls Yelp/Google/TripAdvisor reviews, identifies recurring complaints, sentiment patterns, response rate, and rating trajectory
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。
One-shot NowStack Mobile iOS deployment with asc App Store Connect CLI. Use when preparing TestFlight/App Store releases, uploading IPAs, syncing screenshots/metadata, validating review readiness, or submitting the iOS app without EAS Submit.
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。
One-shot NowStack Mobile iOS deployment with asc App Store Connect CLI. Use when preparing TestFlight/App Store releases, uploading IPAs, syncing screenshots/metadata, validating review readiness, or submitting the iOS app without EAS Submit.
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 Apple App Store screenshot pages as a Next.js app with html-to-image export at required resolutions. Screenshots are advertisements, not documentation — every screenshot sells one idea. Use when building App Store screenshots, generating exportable marketing screenshots for iOS apps, or creating programmatic screenshot generators. Triggers on 'app store screenshots', 'App Store', 'screenshot generator', 'iOS screenshots', 'marketing screenshots', 'phone mockup', 'ASO screenshots', 'app store assets', 'app listing', 'app store page', or 'app preview images'. Also use when someone is about to submit an app and needs store assets, or when they say 'make my app store page look good'. Includes iPhone and iPad mockup components with pre-measured dimensions.
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。
Work with the @upstash/blob TypeScript/JavaScript SDK for S3-compatible object storage with direct browser uploads, presigned URLs, multipart, and signed reads. Use when storing files or blobs, uploading avatars, images, videos, attachments or user documents, letting a browser upload straight to storage without proxying bytes through a server, generating public or time-limited signed URLs, serving private files, streaming large files with pause and resume, setting cache headers on stored objects, or reaching an S3-compatible bucket from the AWS SDK.
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 the user asks about ISAC participation, TAXII feeds, MISP communities, FIRST, STIX-based sharing, or how to publish intelligence externally. Covers sharing models, standards, communities, and TLP-governed dissemination.
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。
AI-powered multi-agent code review. Simulates a team of Principal Engineers reviewing code from different perspectives. Use when asked to review code, check a PR, analyze changes, or perform code review.
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。
"Apply Agency Theory (Jensen and Meckling, 1976) to diagnose principal-agent problems — moral hazard, adverse selection — and design governance mechanisms to align interests. Use this skill when the user needs to analyze conflicts of interest between owners and managers, design incentive or monitoring structures, evaluate corporate governance effectiveness, or when they ask 'how do we ensure managers act in shareholders interest', 'why is this incentive plan failing', or 'what governance mechanisms reduce agency costs'.".
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 business cycle phases (expansion, peak, contraction, trough) and their implications for business strategy and policy response. Use this skill when the user needs to identify the current economic phase, anticipate cyclical turning points, or adapt business strategy to macroeconomic cycles — even if they say 'are we heading into a recession', 'how should we prepare for a downturn', or 'when will the economy recover'.".
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。
"Apply contract theory to design incentive-compatible agreements under moral hazard and adverse selection. Use this skill when the user needs to structure principal-agent contracts, evaluate compensation schemes, or analyze incomplete contract problems where parties cannot specify all contingencies ex ante.".
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。