「strengths」の検索結果

絞り込んだ競合を九つの観点で採点し、根拠付きの比較カードと戦略の二軸図に整理するスキル。各社の強みや、自社が狙う領域の競合を確認します。

• 競合を共通の基準で比較したいとき
• 出典付きの競合紹介カード作成
• 戦略の二軸で競合を配置したいとき

競合のブランド表現やサービス、実績などを共通の基準で採点し、根拠付きの比較カードと戦略上の二軸図にまとめ、自社が狙う位置の競合を把握するスキル。

• 共通基準で競合を比較したいとき
• 根拠付きの競合カード作成
• 二つの戦略目標で競合を整理したいとき

画面デザインの方向性を比べるため、操作できるHTMLの試作を2〜3案作ります。レイアウトや情報量の違いを見比べ、各案の長所と弱点から採用案を検討します。

• 実装前に画面レイアウトを比較
• 情報量と余白の違いを試したいとき
• フィルターやパネル操作の試作

Perform a detailed SWOT analysis — strengths, weaknesses, opportunities, and threats with actionable recommendations. Use when doing strategic assessment, competitive analysis, or evaluating a product or business position.

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 competitors with strengths, weaknesses, and differentiation opportunities. Identifies direct competitors and maps the competitive landscape. Use when doing competitive research, preparing a competitive brief, or finding differentiation opportunities.

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 to "analyze competitors" or "竞品分析"; benchmarks competitor keywords, content, backlinks, AI citations, and traffic share into strengths, weaknesses, and an action plan. Not for a pairwise topic-coverage gap map — use content-gap-analysis. 竞品分析/竞争对手

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。

Compare UX patterns, features, strengths, and gaps across rival products. Use when you need to know what others actually do. For deliberately adopting their conventions, use `jakobs-law` (interaction-design).

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 a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colleague, design a feedback survey, or produce a feedback report. Produces either a complete survey instrument with rating scales and open-ended questions, or a structured narrative feedback report with themes, strengths, and development areas.

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 generating or editing video with Luma Ray models on Scenario via MCP: cinematic text-to-video, image-to-video from a start frame, start plus end frame anchors, seamless looping clips, HDR output, restyling footage while preserving motion with edit strengths and face, pose, depth, or trajectory controls, reframing to another aspect ratio by outpainting, or budget prompt edits on real footage. Keywords: Luma, Dream Machine, Ray 3.2, Ray 3, Modify Video, Reframe, T2V, I2V, V2V, loop, HDR.

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 multi-informant assessment approaches for dispositional competencies like curiosity or resilience. Use when assessing character strengths or competencies that written tests cannot capture.

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。

Competitive landscape analysis for A-share companies and Chinese industries. Maps competitors, compares positioning, and assesses relative strengths. Adapted from the original competitive-analysis skill for Chinese market context. Triggers on "A股竞争格局", "行业竞争分析", "competitive landscape China", "competitive analysis A-share", or "[company] competitors China".

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。

Deep competitive analysis for iOS/macOS apps including feature comparison, pricing analysis, strengths/weaknesses, market positioning, and differentiation opportunities. Use when user asks for competitive analysis, competitor research, feature comparison, market positioning, or wants to understand competition in detail.

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。

Full-spectrum Amazon competitor analysis. Compare listings, pricing, reviews, advertising strategy, and market positioning against direct competitors. Identify weaknesses to exploit and strengths to counter. Use when the user asks about competitor analysis, competitive research, ASIN comparison, pricing analysis, or how to beat competitors on Amazon.

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 a leader evaluates a marketing TEAM MEMBER using data — a KPI scorecard by role, strengths with real examples, areas to improve stated as observable behavior, a 30 and 90 day development plan, and a 1-5 rating rubric. Trigger on 'performance review for my marketer', 'evaluate a team member', 'monthly 1:1 review', 'feedback for my content writer', 'development plan for an employee', 'is this person underperforming'. Also use when the user is unhappy with someone and cannot articulate why. Not for — evaluating a campaign rather than a person, see `63-campaign-retrospective-global`; reviewing one piece of output, see `62-marketing-review-global`; scoring an external vendor, see `67-agency-vendor-brief-global`.

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 player and team scouting reports. Strengths, weaknesses, tendencies, film breakdown, matchup advantages.

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。

Break down full NeurIPS reviewer responses into structured rebuttal units. Use when input contains NeurIPS reviewer fields (Summary, Strengths and Weaknesses, Questions, Limitations) and numeric scores (Rating, Confidence, Quality, Clarity, Significance, Originality). Splits questions and limitations into granular response items while preserving original wording for quoted issues.

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。

Break down full ARR (ACL Rolling Review) reviewer responses into structured rebuttal units. Use when input contains ARR reviewer fields (Paper Summary, Strengths, Weaknesses, Comments/Suggestions) and numeric scores (Confidence, Soundness, Excitement, Overall Assessment, Reproducibility). Splits weaknesses and comments/suggestions into granular response items while preserving original wording for quoted issues.

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 umap-learn in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses umap-learn or its strengths fit the 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。

Apply vaex in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses vaex or its strengths fit the 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。

Apply validate data in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses validate data or its strengths fit the 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。

Apply risk metrics calculation in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses risk metrics calculation or its strengths fit the 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。

Apply stable-baselines3 in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses stable-baselines3 or its strengths fit the 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。

Apply statistical power in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses statistical power or its strengths fit the 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。

Apply seaborn in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use when the user chooses seaborn or its strengths fit the 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。