「users」の検索結果

Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.

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。

Extract design systems from reference UI images and generate implementation-ready UI design prompts. Use when users provide UI screenshots/mockups and want to create consistent designs, generate design systems, or build MVP UIs matching reference 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。

This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.

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。

Structure a cohort analysis for retention, LTV, or behavioural patterns. Use when asked to run a cohort analysis, analyse retention by cohort, segment users by behaviour over time, or calculate lifetime value by acquisition period. Produces a complete cohort analysis framework with methodology, cohort definitions, retention curves, and prioritised interventions.

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Turn a list of changes, commits, or PRs into clean release notes / a changelog entry. Use when asked to write release notes, a changelog, or a version announcement from raw changes. Produces a Keep-a-Changelog-style entry grouped by type (Added/Changed/Fixed/etc.), written for users — surfacing breaking changes and upgrade notes up top. To go straight from a raw git log use changelog-generator instead.

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 a human changelog from the REAL commit history — read the actual commit range via the GitHub connector, not a template. Use when asked to write the changelog for this release, what changed since the last tag, draft release notes from my commits, or summarise this range for users in Cowork. Reads commits/PRs between two refs via the GitHub connector, groups them into user-facing changes (features / fixes / breaking), translates commit-speak into human benefit, and produces a changelog artifact ready for the release.

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 changelogs and release notes readers actually benefit from — changes translated to so-whats, grouped by reader impact (breaking first, gifts second, plumbing last), with the upgrade path stated and the marketing kept honest. Use when asked write the release notes, turn this commit list into a changelog, announce this update to users, or why does nobody read our changelogs. Produces the impact-grouped changelog, the so-what translations, the breaking-changes block with migration steps, and the two-audience split when needed.

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Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one. Use when choosing between AI agents/tools/copilots for a job, formalizing an AI pilot, or 'which agent should we use for X'. Produces the role spec, interview pack with scoring rubric, a decision record, and a probation plan.

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Run a blameless postmortem for an incident caused by an AI agent or LLM feature — hallucinated facts shipped to users, runaway tool use, prompt injection, cost blowouts, or wrong actions taken autonomously. Use when asked to write up an AI incident, analyse why an agent did something wrong, or produce corrective actions after an LLM failure. Produces a structured postmortem with trace reconstruction, a root-cause layer analysis, and corrective actions including a permanent regression case. For non-AI production incidents use incident-postmortem.

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 educational practice questions from lecture notes to test student understanding. Use when users request practice questions, exam preparation materials, study guides, or assessment items based on lecture content.

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 diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.

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Help users master the transition from sales-led to product-led growth by leveraging the product itself as the primary vehicle for customer education and revenue generation.

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Help users transition from a pure self-serve model to a hybrid motion that uses human sales to capture large enterprise deals while maintaining a frictionless product entry point.

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Help users define the strategic context for their product by identifying the right competitive alternatives, unique value drivers, and target segments to win a market category.

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Help users design and execute a press strategy that moves beyond vanity metrics to achieve specific business goals like funding, user acquisition, or B2B credibility.

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Help users validate willingness-to-pay, select the right value metrics, and continuously optimize pricing and packaging to drive growth.

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。

Help users design, execute, and analyze product experiments to validate hypotheses and measure true incremental impact while avoiding common statistical pitfalls.

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。

Help users design and facilitate product reviews that shift from status updates to strategic deep-dives, ensuring high-quality craftsmanship and organizational alignment.

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。

Help users build a professional eye for quality, articulate the reasoning behind successful product paradigms, and develop the conviction to make high-stakes decisions before data is available.

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。

Help users select, implement, and optimize a modern product tool stack that reduces operational friction and accelerates delivery cycles.

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Help users define a compelling, qualitative description of a future state that aligns decentralized teams and motivates long-term innovation.

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。

Help users navigate the path from junior product manager to executive leadership by focusing on ownership, cross-functional influence, and intentional career 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。

Help users master the art of public speaking by decomposing the skill into manageable components, leveraging storytelling frameworks, and utilizing professional acting techniques for executive presence.

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。

Help users navigate product failure by diagnosing root causes, evaluating conviction, and executing successful pivots or turnarounds based on proven industry frameworks.

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。