286건 · 관련도순
Add a standard GNOME preferences dialog (AdwPreferencesDialog) with Ctrl+comma shortcut, PreferencesPage/Group rows, and GSettings bindings. Use when adding settings or preferences UI to a GNOME app.
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Control a running iTerm2 workspace from the command line. Inspect processes and directories across panes, send commands, read terminal history, arrange windows and tabs, and manage preferences or tmux integration.
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Use Memori through MCP, a protocol connecting agents to tools, to retrieve past decisions and preferences, summarize ongoing work, and resume after conversation compression. It also guides selective long-term memory storage and usage limit checks.
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Inspect and update Atlas preferences in config.toml using the explanations and constraints written in the file. The skill guides agents through explaining changes, editing only relevant lines, saving safely, and checking the result.
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Audits and optimizes the five global Claude layers (User Preferences, Styles, Global Memory, Skills, MCP Connectors) using the Global Layer Scorecard (six dimensions, anchored 1-5 rubrics). Detects eight cross-layer failure modes and produces evolutionary recommendations (Promotion, Demotion, Codification, Skill Extraction). Use when user says "audit my global setup," "optimize my preferences," "review my Claude configuration," "check my cross-project setup," "are my preferences working," "clean up my global memory," or "what should be in my preferences vs my project." Also use when a user has 3+ Projects and wants to improve their shared foundation. Do NOT use for single-Project audits, Project Memory optimization, or full-stack audits (use rootnode-project-audit, rootnode-memory-optimization, or rootnode-full-stack-audit respectively, if available). Run on Opus 5 or Sonnet 5 at `high` effort (both defaults); depth reduces on legacy models.
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Rebalances context across Memory, Custom Instructions, knowledge files, and User Preferences in Claude Projects. Audits Memory for redundancy, staleness, and misplacement; prescribes optimization including Codification of stable Memory patterns into explicit User Preferences or Project CI rules. Use when user says "optimize my memory," "what should be in my memory," "trim my knowledge files," "reduce my context usage," "rebalance my project," "what should be in my preferences vs memory," or asks whether something belongs in Memory, a knowledge file, or User Preferences. Also trigger on symptom-phrased: "my project feels bloated," "Claude keeps forgetting things," "my context window keeps hitting limits." Activate whenever Memory-layer balance is the primary concern. Do NOT use for full Project audits (use rootnode-project-audit if available), single-prompt evaluation (use rootnode-prompt-validation if available), or global-layer audits that don't touch Project Memory (use rootnode-global-audit if available).
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SharedPreferences (v2.5.5) for Flutter providing simple persistent key-value storage for non-sensitive user settings and app preferences. Use this skill when storing user preferences (theme mode, language selection, font size), app settings and configuration, feature flags or A/B test assignments, simple cache data, onboarding completion status, last selected values (filters, sort options), user consent flags, or any non-sensitive data that survives app restarts. Supports String, int, double, bool, and StringList types. NOT suitable for storing tokens, passwords, API keys, or any sensitive/encrypted data (use flutter_secure_storage instead). Ideal for quick persistent storage without database overhead.
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Control a running iTerm2 workspace from the command line. See what each terminal pane is doing, send commands, read current and past output, arrange windows and tabs, manage tmux integration, and change preferences.
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Store preferences, task lessons, and procedure outcomes in Hindsight, then retrieve relevant context before starting new work. It records detailed observations and can synthesize past experience into guidance for approaching the next task.
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Retrieve relevant Hindsight memories before planning or answering a request. Searches the agent’s own and shared memory stores, plus other relevant stores when needed, to bring past decisions, user preferences, and project context into the task.
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Use OpenViking MCP tools to retrieve relevant knowledge before substantial tasks and save lasting preferences, decisions, and lessons during or after work. Import documents as searchable resources so later tasks can draw on previous findings.
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Customize cmux shortcuts, commands, workspace layouts, and viewer settings while preserving existing configuration. It identifies the right settings file, distinguishes app preferences from terminal preferences, and validates that actions and controls appear where expected.
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Inspect and edit cmux preferences for appearance, notifications, browsers, viewers, and shortcuts. Look up supported settings, validate changes before saving, preview edits, and undo recorded changes when the saved value still matches.
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Use Memori Cloud from Claude Code to consult stored preferences, decisions, and project history before substantive work, then save the exchange afterward. Recall can span sessions and use filters for dates and information types.
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Use MemOS Local to find past conversations, preferences, and decisions, then retrieve original messages or task context. The skill also guides sharing memories and reusable procedures with local agents or a configured team.
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Lets an agent ask for clarification, preferences, or approval through an on-screen dialog. Questions can offer single or multiple choices and custom text input, giving the agent a user response to guide its next step.
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Adjust an existing Legal Builder Hub profile through guided prompts. Review current settings, change practice areas, skill sources, update preferences, or quality checks, and see how each change affects connected features before it is saved.
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Adjust an existing law student study profile through guided questions. Update classes, learning preferences, bar exam subjects, materials, or study routines one change at a time, with explanations of how related study features will respond.
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Adjust an existing commercial contracts profile through a guided conversation. Update risk preferences, approvers, contract positions, or review formats one change at a time, with an explanation of how each update affects later work.
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Update an existing employment-law practice profile through guided questions. Adjust employee locations, risk preferences, contacts, hiring or termination review rules, and other settings while reviewing downstream effects, without repeating setup or editing configuration files by hand.
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Save and manage product references and design preferences for future Product Design work. Keep product URLs, Figma files, screenshots, brand assets, and other context available, and review or update what has already been saved.
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Tabular Editor documentation search and configuration file guidance (.tmuo, Preferences.json, UiPreferences.json, Layouts.json). Automatically invoke when the user asks about "TE docs", "Tabular Editor features", "TE3 preferences", ".tmuo files", "workspace database settings", "DAX editor settings", "per-model TE3 configuration", or needs to search Tabular Editor documentation for how-to guidance.
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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.
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