「product」の検索結果

Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared indicators for improved detection. Use when multiple incidents exhibit overlapping indicators, when sector-wide attack campaigns require cross-organizational analysis, or when building campaign-level intelligence products. Activates for requests involving campaign analysis, incident clustering, cross-organizational IOC correlation, or MISP correlation engine.

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 SOC performance metrics and KPI tracking dashboards measuring Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), alert quality ratios, analyst productivity, and detection coverage using SIEM data. Use when SOC leadership needs operational visibility, continuous improvement tracking, or executive-level reporting on security operations effectiveness.

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。

ADHD-friendly output shaping for subagent responses. Lead with the next action, number multi-step tasks, end with one concrete next step, suppress tangents, restate state across turns, give specific time estimates, make wins visible, matter-of-fact errors, cap visible lists to 5, no preamble or closers. Loaded by genin, jonin, anbu, tokubetsu-jonin, and chunin when shaping final responses.

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。

Review the product engineer's post-implementation testing notes for how thoroughly they cover the card's requirements and risk, and whether regression-worthy cases are automated at the right level of the test hierarchy

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。

Run a support investigation as a suggest-and-interpret loop, never executing anything yourself — orient to the product's support pack and follow the signal with judgment. Use when someone asks for help triaging, investigating, or resolving an operational or support issue on a deployment. Not for feature-development cards (see investigate-and-fix and implement-this).

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。

Production-quality Bash scripts for Solana vanity generation, keypair verification, batch operations, dependency auditing, and test orchestration — with security-hardened patterns including file permissions, input validation, and cleanup traps.

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。

Production-grade multi-threaded Rust vanity address generator for Solana — 100K+ keys/sec using Rayon parallel iterators with solana-sdk, Base58 pattern matching, prefix/suffix support, security-hardened file output, and Criterion benchmarks.

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。

Constant-product AMM bonding curve math for Pump token pricing — buy/sell quoting, fee-aware calculations, market cap computation, tiered fees, ceiling division, virtual vs real reserves, and edge-case handling.

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。

Write and register a new Learning Hub article (Nuxt Content markdown under content/learn) with valid frontmatter, navigation entry, route list entry, and accurate product details. Use when adding or substantially rewriting a learn guide, reference, or tip.

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 distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

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。

Comprehensive Cline SDK skill for building AI agents. Covers the direct Agent runtime, ClineCore sessions, custom tools, plugins, events, LLM providers, scheduling, multi-agent teams, and production deployment. Use for any task involving @cline/sdk or its sub-packages.

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。

Review product designs before engineering handoff or release for flow and state coverage, business-rule alignment, implementation clarity, accessibility, responsiveness, analytics, and testability.

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。

Synthesize user interviews, observations, surveys, support tickets, reviews, or feedback into traceable themes, insights, tensions, opportunities, and research gaps; use when evidence must inform product or design decisions.

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。

Review a product requirement, PRD, brief, or meeting note before design or development; expose missing decisions, contradictions, edge cases, dependencies, and validation gaps without inventing business rules.

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。

执行显式、编码前的 Product Discovery，把早期或模糊的软件想法转化为用户确认的 Intent、丰富方案卡片、对比矩阵、可编辑画布和可持续 D0 文档基线。仅当用户明确调用 $flight-brainstorm，准备在 Flight Control Run 之前探索空白、稀疏、不确定或方向发生重大变化的项目时使用；禁止因模糊请求或普通开发工作隐式触发。

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 guidance for Salesforce Flow implementation from design through deployment. Use this skill when building Screen Flows, Record-Triggered Flows, Schedule-Triggered Flows, or Autolaunched Flows. Covers Flow design patterns, metadata XML generation, variable/element reference validation, governor limit optimization, and sf CLI deployment. Critical for preventing reference errors (undeclared variables, invalid element references) and deployment failures. Use when creating new Flows, debugging Flow errors, optimizing Flow performance, or deploying Flows to production.

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。

製造施設（セントラルキッチン、食品工場、製造ライン）の週次生産スケジュールを最適化するスキル。 製品の賞味期限、作業室の容量、人員配置、設備制約を考慮したタイムテーブル生成、 人員要件見積、シフト計画、カバレッジ検証を提供。 Use when: 「製造スケジュールを作成」「生産計画を最適化」「人員配置を見積もり」 「CK スケジュール」「週次製造計画」「シフト計画」

Office Scripts (Excel Online / Microsoft 365) development expert skill. Covers platform limitations, ExcelScript API patterns, testing strategy (lib + Vitest), and 13 real-world bug patterns discovered during production development. Trigger words: Office Scripts, ExcelScript, Excel Online, Office Script development, TypeScript Excel, Excel automation, CalculateRequirements, ImportCsvData

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。

This skill should be used when creating bug/defect reports during system testing. Use this skill when you discover a bug, need to document test failures, or want to create comprehensive bug tickets with proper reproduction steps, severity assessment, and environment details. Guides users through interactive questioning to gather all necessary information and generates professional bug ticket documents in Markdown format. Supports Japanese (default) and English.

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。

既存製品・サービス分析コマンド

サービス開発のためのデプスインタビューを実施し、ユーザーの真のニーズ・課題・動機を引き出す。5 Whys、ラダリング法を用いてプロダクト開発に活かせるインサイトを発見する。ユーザーリサーチ、課題発見、ペルソナ構築、プロダクト仮説検証に使用する。Do NOT use for キャリア相談やキャリアカウンセリング（depth-interviewing-careerを使用すること）。

Apply a set of Rosetta Stone attribute mappings to a Narrative dataset by wrapping them in a one-shot workflow that calls the `CreateRosettaStoneMappingsIfNotExist` task. Consumes the structured output of `/generate-rosetta-stone-mappings`, normalizes the generator's snake_case to the workflow task's camelCase, re-validates every expression against the dataset's current schema, gates on user approval, submits via `narrative_workflows_create`, polls the triggered run, and reports per-mapping created / conflict / failed. Use when: "apply these mappings to dataset N", "create the Rosetta Stone mappings I just generated", "push the mappings I saved earlier to <dataset>", "productionize this mapping list", "submit the suggested_mappings array". (narrative-common)

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。

Author and submit a Narrative workflow from a natural-language intent. Picks the closest example from `assets/examples/`, adapts it to the user's case, walks the YAML against the spec, resolves the data plane, and submits via `narrative_workflows_create` only after the user has approved the rendered spec. Use when: "create a workflow that does X", "schedule a daily refresh of dataset Y", "wrap this NQL as a workflow", "build a pipeline that creates view A then refreshes view B", "submit this workflow YAML", "productionize this query as a recurring job". (narrative-common)

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 self-contained HTML/CSS benchmark and comparison charts in an ego-inspired Browser-Native Editorial style. Use for blue-white product metrics, model benchmarks, A/B comparisons, efficiency reports, difficulty breakdowns, and compact technical data panels.

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。