300건 · 관련도순
Run a two-agent proxy approval council for autonomous sprint gates. Use when a sprint needs delegated approval for human gates such as deploy, live mutation, push, cleanup, skip, or shortened watch decisions, while requiring two independent agents to reach consensus that the human principal would approve under written policy and preferences.
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Load this skill whenever the project supports light/dark mode, colour theme switching, high-contrast mode, or responds to prefers-color-scheme. Under no circumstances hard-code colours that break in alternative themes. Absolutely always test colour contrast in both light and dark themes, and respect user OS-level colour preferences via CSS media queries.
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Load this skill when configuring or reviewing CI/CD pipelines, GitHub Actions workflows, or automated testing setups. Ensures accessibility regressions are caught before code reaches production by enforcing quality gates, structured reporting, and layered automated + manual testing across all pages and user preferences.
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Use when designing, reviewing, or implementing Settings/Preferences for Apple-platform apps — what belongs in Settings vs Inspector/Toolbar, grouped forms, native controls, secure storage, launch at login, and destructive actions.
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Generates a comprehensive .editorconfig from the project's structure and the user's preferences, so editors format files consistently across languages. Use when a repository has no .editorconfig or its formatting is inconsistent across editors.
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Draft and revise evidence-grounded academic manuscripts with adaptable author preferences. Use for section writing, implementing structural edits, claim calibration, citation-integrated prose, prose cleanup, standalone review excerpts, and LaTeX template migration. Use paper-review for critique or author responses, and paper-figures-tables for final visual artifacts.
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Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
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Answers weather questions for a location or coordinates via wttr.in (free, no API key). Current weather + 3-day forecast. Location comes from the user request or preferences; optional short cache.
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Use after installing tradeblazer_skills to collect user preferences for TBQ3/TB language work, including task focus, strategy type, document output location, and review expectations.
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Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Local database and persistence selection for Flutter including SharedPreferences, SecureStorage, Hive, and Drift. Use when implementing offline storage, encrypted data persistence, or choosing between key-value and relational local databases.
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Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use this skill when working on camera, gallery, file pick/upload/download, file preview, sharing, or filesystem-backed media. For Preferences keys, use mobile-local-data.
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Use when working with Courier — courier notification orchestration platform management covering messages, templates, brands, users, and delivery analytics. Use when monitoring notification delivery, analyzing template performance, reviewing delivery logs, managing notification preferences, or troubleshooting Courier notification issues.
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BDB local-first long-term memory engine (memB). Use when querying, remembering, or adapting preferences, code architectures, and developer patterns across tasks.
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Implement, review, or improve accessibility in iOS/macOS apps with SwiftUI and UIKit. Use when adding VoiceOver support with accessibility labels, hints, values, and traits; when grouping or reordering accessibility elements; when managing focus with @AccessibilityFocusState; when supporting Dynamic Type with @ScaledMetric; when building custom rotors or accessibility actions; when auditing a11y compliance; or when adapting UI for assistive technologies and system accessibility preferences.
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Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
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Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
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Generates 3D conformer ensembles using RDKit ETKDGv3 with knowledge-enhanced distance geometry, MMFF94/UFF force-field optimization, CREST + GFN2-xTB semi-empirical refinement, and macrocycle-aware torsion preferences. Provides explicit decision rules for single vs ensemble conformer use, RMSD pruning, energy windows, conformer count, and force-field choice. Use when preparing 3D ligands for docking, generating descriptor input for 3D QSAR, or sampling macrocycle/peptide conformational ensembles.
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Exclusive-choice UI: CheckButton radio groups in list rows, when to use them vs ComboRow vs ToggleGroup. Use when presenting mutually exclusive options in GNOME preferences or dialogs.
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Scaffold a minimal GNOME-compliant GTK4/libadwaita app from scratch — window, header bar, ViewSwitcher, adaptive breakpoint, menu, preferences, GSettings schema, desktop entry, meson. Use when starting a new GNOME app or when the user asks for a GNOME app template.
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Generate ideas that don't sound logical, then validate them with cheap behavioural experiments — Rory Sutherland's 'the opposite of a good idea can be a good idea' plus revealed-preference testing. Use when the obvious/logical solution is saturated and the user wants genuinely different options, asks 'what's a creative/unconventional angle', 'how do we stand out', 'should we run a test/experiment', 'how do we know what people actually want', or is about to trust a survey/focus group. Covers deliberate inversion of the obvious move, why stated preferences lie, and designing small reversible experiments that watch behaviour. Inspired by Rory Sutherland's *Alchemy*. Routed to from psycho-logic. 日本語の相談（「競合と同じ案しか出ない」「アンケートは好評なのに売れない」「思い切った案を安く試したい」）にも使う。中文咨询（“只能想出和竞品一样的方案”“问卷好评却卖不动”）也适用。
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Generates 3D conformer ensembles using RDKit ETKDGv3 with knowledge-enhanced distance geometry, MMFF94/UFF force-field optimization, CREST + GFN2-xTB semi-empirical refinement, and macrocycle-aware torsion preferences. Provides explicit decision rules for single vs ensemble conformer use, RMSD pruning, energy windows, conformer count, and force-field choice. Use when preparing 3D ligands for docking, generating descriptor input for 3D QSAR, or sampling macrocycle/peptide conformational ensembles.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.