Use when displaying tabular data — to make rows scannable, support sorting and filtering, handle bulk actions, and adapt to mobile breakpoints without destroying the data structure.
Langue du texte source : anglais
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Skills dans ce dépôt
SkillsMP a collecté 1 313 skills depuis jeffreytse/grimoire-core. Ouvrez un skill pour examiner sa source et ses détails.
jeffreytse/grimoire-coreAffichage de 40 skills collectés sur 1 313.
Use when displaying tabular data — to make rows scannable, support sorting and filtering, handle bulk actions, and adapt to mobile breakpoints without destroying the data structure.
Langue du texte source : anglais
Use when designing screens that appear before content exists — first use, no-results, user-cleared state, or error — to orient users and guide the next action instead of showing a blank screen.
Langue du texte source : anglais
Use when designing system responses to user actions — form submission, data save, deletion, errors, and confirmations — to tell users what happened, what went wrong, and what to do next.
Langue du texte source : anglais
Use when organizing content, navigation, or features in a product so users can find what they need without confusion
Langue du texte source : anglais
Use when a UI action triggers a wait of 0.1 seconds or more — to communicate system progress, prevent duplicate submissions, and maintain perceived performance.
Langue du texte source : anglais
Use when choosing or designing primary navigation for a website or app — to select the right structural pattern (top nav, side nav, tabs, bottom nav) for the content depth and device context, and avoid the anti-patterns that account for the majority of…
Langue du texte source : anglais
Use when designing a search feature for a website or application — to structure the input, autocomplete, results list, and zero/no-results states so users find what they need with minimal friction.
Langue du texte source : anglais
Use when designing any screen layout — to arrange elements so the eye naturally travels from most to least important, reducing the cognitive effort required to parse the page.
Langue du texte source : anglais
Use when validating a UI design, prototype, or live product with real users to find usability problems before or after launch
Langue du texte source : anglais
Use when starting a design project, commissioning design work, or aligning stakeholders before any visual design begins
Langue du texte source : anglais
Use when writing button labels, error messages, placeholder text, helper text, empty state copy, and tooltip content — to make UI text specific, actionable, and honest.
Langue du texte source : anglais
Use when building or reviewing a web page's HTML structure — to ensure heading hierarchy, landmark regions, and semantic elements convey the correct document outline to screen readers and assistive technology.
Langue du texte source : anglais
Use when designing formative assessment strategies to provide ongoing feedback and guide learning during instruction
Langue du texte source : anglais
Use when creating assessment rubrics for evaluating student work, projects, or performance with clear, objective criteria
Langue du texte source : anglais
Use when designing study strategies or instructional activities that use testing and recall to strengthen long-term memory
Langue du texte source : anglais
Use when designing a learning or study system that schedules review sessions to maximize long-term retention with minimum time investment
Langue du texte source : anglais
Use when defining or structuring the skills, knowledge, and behaviors required for a role, profession, or learning pathway
Langue du texte source : anglais
Use when designing a course, lesson, module, or training program and need to define what learners will be able to do after instruction
Langue du texte source : anglais
Use when writing learning objectives for a course, lesson, or training program that are measurable and aligned to instructional activities
Langue du texte source : anglais
Use when designing a curriculum, flashcard deck, or study system intended to maximize long-term retention of facts, concepts, or procedures
Langue du texte source : anglais
Use when designing an assessment rubric for a complex task, project, or performance where multiple criteria must be evaluated consistently
Langue du texte source : anglais
Use when adding gamification mechanics to a learning, product, or engagement system to increase motivation, participation, and completion
Langue du texte source : anglais
Use when designing a short, focused learning module (3–10 minutes) targeting a single skill or knowledge application
Langue du texte source : anglais
Use when designing an online course structure including learning objectives, module sequencing, assessment, and delivery format
Langue du texte source : anglais
Use when taking notes during a lecture, seminar, class, or while reading a dense text — to capture information in a structured three-section format that builds in review, retrieval practice, and summarization without extra study sessions.
Langue du texte source : anglais
Use when learning a new concept, diagnosing why understanding feels shallow, or preparing to explain complex material — to verify genuine comprehension by explaining the topic in plain language, identify exactly where the explanation breaks down, and fill…
Langue du texte source : anglais
Use when memorizing large ordered sequences — speech outlines, vocabulary lists, historical dates, names, numbers, or any information that must be recalled in sequence without notes.
Langue du texte source : anglais
Use when brainstorming, exploring relationships between concepts, planning a project scope, or creating an overview of a topic — to generate and organize ideas visually as a radial network rather than a linear list.
Langue du texte source : anglais
Use when reading a textbook chapter, research paper, technical document, or any dense non-fiction text — to maximize comprehension and retention on first pass by converting passive reading into active questioning and retrieval.
Langue du texte source : anglais
Use when facilitating discussion, coaching, or teaching that develops critical thinking through structured questions rather than direct instruction
Langue du texte source : anglais
Use when designing classroom or online sessions that replace passive lecturing with activities requiring learner mental engagement and practice
Langue du texte source : anglais
Use when designing in-lesson or mid-unit checks that help teachers adjust instruction and help learners self-correct before a summative assessment
Langue du texte source : anglais
Use when redesigning a course so that content delivery happens outside class (video, readings) and class time is used for practice, discussion, and application
Langue du texte source : anglais
Use when facilitating a structured session where learners teach, review, or problem-solve together in pairs or small groups to deepen understanding and develop metacognitive skills
Langue du texte source : anglais
Use when facilitating a learning retrospective after a course, project, or experience to help participants extract and apply lessons
Langue du texte source : anglais
Use when rendering LLM-generated text in a browser, executing LLM-generated code, or inserting LLM output into a database or downstream system — any place LLM output leaves the AI layer and enters another execution context.
Langue du texte source : anglais
Use when building applications that make LLM API calls, run inference locally, or build agentic systems — to prevent runaway costs, infinite loops, and denial of service via unrestricted model consumption.
Langue du texte source : anglais
Use when deploying an LLM application that may have been trained on or given access to sensitive data — to assess the risk of the model leaking PII, proprietary information, or confidential context through its outputs.
Langue du texte source : anglais
Use when evaluating, auditing, or improving the quality, factual accuracy, or safety of LLM-generated outputs
Langue du texte source : anglais
Use when deploying ML models that make decisions affecting people (hiring, lending, healthcare, content moderation) or when required by regulation to assess algorithmic bias
Langue du texte source : anglais