Results for “preferences”

First-run conversational setup wizard for marketing-cli. Use when /cmo detects no populated brand files and no cmo-preferences.md, when the user just installed marketing-cli for the first time, or when they say things like "set up marketing", "start marketing", "marketing wizard", "I just installed marketing-cli", "onboard me", "first time", "initial setup". Asks 3 sharp questions (identity, posture, distribution preferences), records the answers to brand/cmo-preferences.md, then hands off to /cmo's foundation flow which spawns 3 research agents in parallel. The user never has to type /mktg-setup directly — /cmo auto-routes here on first run.

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Build a shared animation foundation for React and Next.js with motion/react. Define reusable timing and spring settings, respect reduced-motion preferences, adapt to device performance, and align initial animation states with server-rendered content.

• Standardize animation settings across components
• Define reusable spring animation presets
• Respect users' reduced-motion preferences

Review confirmation questions across gstack skills and set which should always appear, be skipped, or appear only for irreversible actions. Use conversation to manage question tuning and inspect declared preferences alongside patterns inferred from behavior.

• Reviewing previously asked confirmation questions
• Setting when a particular question should appear
• Comparing declared preferences with observed behavior

Store facts, daily events, and user preferences in files that persist across sessions. Organize knowledge with PARA, a method separating projects, ongoing responsibilities, references, and archives, and retrieve saved information through qmd search.

• Keeping facts available across sessions
• Recording daily events and conversations
• Organizing knowledge about people and projects

Implement purposeful animations for existing interfaces or an agreed UI brief. It selects motion based on purpose and usage frequency, then handles timing, interrupted interactions, exits, and reduced-motion preferences while reusing the project’s tools and design values.

• Adding opening and closing motion to modals or drawers
• Implementing button and toggle feedback
• Handling animations interrupted by repeated actions

Build and review web animations with GSAP's core API, including movement, rotation, fades, and staggered starts. Adjust timing and easing, meaning changes in speed, and adapt animations to screen size and reduced-motion preferences.

• Adding movement and fades to web page elements
• Animating multiple elements with staggered starts
• Adapting animations to desktop and mobile screens

Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.

• Add conversation history to a chat system
• Remember user preferences across sessions
• Reuse patterns from successful interactions

Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.

• Add conversation history to a chat system
• Remember user preferences across sessions
• Reuse patterns from successful interactions

Review fixed pixel values in fonts, widths, and spacing, then suggest relative units that adapt to available space and browser font preferences. Check rendered layouts at different screen widths and during interactions before proposing changes.

• Adapting text to browser font size preferences
• Replacing fixed widths with flexible layouts
• Reviewing spacing units within components

Review website animations against users’ reduced motion preferences, a setting that requests less movement. Check flashing content, scrolling effects, alternative transitions, pause controls, and advance warnings, and identify changes needed in rendered pages and interactive states.

• Checking support for reduced motion settings
• Reviewing flashing content frequency
• Finding alternatives to scrolling effects

Create and review GSAP code that animates webpage elements and SVG graphics. Covers movement, fades, easing that controls speed changes, staggered effects, playback controls, and adaptations for screen size and reduced-motion preferences.

• Adding entrance animations to webpage elements
• Animating multiple items with staggered starts
• Adjusting motion for desktop and mobile screens

Inspect a codebase and create concise project instructions for Claude Code. Review existing guidance, separate team rules from personal preferences, and propose reusable skills or hooks that run commands automatically.

• Set up project instructions for Claude Code
• Review and improve an existing CLAUDE.md
• Separate personal preferences from team rules

Find context from past coding sessions in Hindsight long-term memory. Reuse memories already loaded for the session, search for missing details, and reason over accumulated records when answering questions about decisions, project context, or preferences.

• Revisit the reasons behind past implementation decisions
• Recover project context discussed in earlier sessions
• Check previously discussed preferences

Use Hindsight to recall past context, save reusable facts, and reason across accumulated memories. Supports continuity between conversations by preserving preferences, project decisions, and lessons learned, while helping explain the reasoning behind earlier choices.

• Resuming earlier work with relevant context
• Saving lasting preferences and project decisions
• Reviewing the reasons behind past decisions

Save facts, decisions, preferences, and task outcomes to Hindsight long-term memory. The skill turns what was learned into short notes with context and reasons, choosing either a Bot’s own memory store or a shared store.

• Saving a completed task’s outcome and reasoning
• Remembering a user’s stated preferences
• Recording decisions for future work

Search AI and machine learning jobs through AI Dev Jobs MCP, a connection agents use to access job data. Inspect employers and requirements, match roles to skills and preferences, and review available salary and market statistics.

• Finding remote machine learning jobs
• Discovering companies hiring for AI roles
• Matching jobs to skills and work preferences

Design agent memory that preserves facts, preferences, and conversation history across sessions. Plan storage, retrieval, and retention separately for each organization or user, with checks for unauthorized access, outdated information, conflicting records, and retrieval quality.

• Designing memory that remembers preferences across sessions
• Separating conversation history by organization and user
• Investigating retrieval of outdated or conflicting records

Give an agent rules for consulting long-term memory before work and saving decisions, corrections, and failures afterwards. It helps carry preferences and project conventions across sessions while preserving dated history and making conflicting memories visible.

• Carry preferences and project conventions across sessions
• Record user corrections for future tasks
• Preserve the history of changed decisions

Build and review interfaces against WCAG 2.2 accessibility guidelines. Covers keyboard navigation, screen readers that read interface content aloud, accessible forms, mobile support, and display preferences, helping identify and fix barriers to using a website or app.

• Audit an interface for accessibility issues
• Add keyboard navigation and focus management
• Improve screen reader support for forms

Choose a model training method and configuration from paired response preferences or individual positive and negative ratings. Covers DPO, ORPO, KTO, and SimPO, including pair construction, repeated training rounds, and troubleshooting learning settings.

• Choose a training method for paired response preferences
• Select a method for individual positive and negative ratings
• Review learning settings when DPO training loses general capability

Create a landing page from an interview about the product, audience, and brand preferences. Use Stitch to generate and refine designs, then package approved HTML with design documentation and a deployment checklist.

• Create a product landing page without a visual direction
• Turn brand preferences into colors and typography
• Compare page designs and refine them through feedback

Retrieve earlier decisions, preferences, and saved resources from OpenViking across sessions. Store durable information, import documents or repositories, and manage deletion, with guidance on how project memory is shared between directories and repository clones.

• Recall decisions from earlier sessions
• Save preferences and lasting decisions
• Import files, URLs, or Git repositories for later use

Generate an .editorconfig file tailored to a project's file types and formatting preferences. Set indentation, line endings, character encoding, and whitespace rules, with a clear explanation of each choice to support consistent formatting across editors.

• Standardize formatting across team members' editors
• Set indentation rules for different file types
• Define line ending and whitespace settings

Guide language model training with TRL, from learning to follow instructions to matching human preferences. Covers method selection, training data, reward models that score responses, evaluation, and adjustments for memory limits or unstable training.

• Train a model on instruction and response examples
• Align responses using preferred and rejected answer pairs
• Build a training pipeline using human feedback