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Found 179 Skills
Identify which area of the mirror world the current event falls into (Controllable Domain/Blind Domain/Probabilistic Domain/Risk Domain), adopt corresponding survival strategies, and avoid using the deterministic rules of the left-side world to face the uncertain problems of the right-side world. It is suitable for formulating strategies for investment decisions, entrepreneurial choices, and career transitions, as well as retrospective analysis of "why did the execution according to plan fail?". It is not applicable to pure skill improvement and deliberate practice scenarios (which naturally belong to the Controllable Domain). Key trigger signals: "Why isn't hard work paying off?", "Is this matter based on strength or luck?", "How should I deal with uncertainty?", "How to improve the success rate?"
Session retrospective that turns THIS session's problems into durable, correctly-routed improvements. Trigger on /reflect, "what did we learn", "retro", "retrospective", "improve our workflow", "how do we not repeat this", or after a painful debugging round. It captures the DELTA (what went wrong, what was slow, what got corrected) and routes each lesson to where it will fire again: an owned skill, a project CLAUDE.md, a cross-project GOTCHAS.md file, or memory. NOT a what-was-done summary (that is invoice-generator) and NOT a single bug's root-cause record (that is post-mortem).
Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.
Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.
Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with AI-generated visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter/X, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage. Uses ui-ux-pro-max, frontend-design, ai-artist, ai-multimodal skills.
Write a structured architecture decision document — an RFC / design doc / technical doc that records *why* a non-trivial technical choice was made, not just what was built. Follows a six-part method: contextualize for a newcomer, state the architecturally-relevant requirements, design components against them with static + dynamic diagrams, weigh every alternative by pros / cons / risks (each risk with impact, probability, mitigation, contingency), record the decision and how it was made, then conclude and communicate. Writes in the language of the request. Reach for it whenever someone is choosing between technical options or documenting one — "write an RFC", "design doc", "architecture decision", "ADR", "tradeoff analysis", "technical documentation of an implementation", "help me decide between X and Y" — even if they never say "RFC". Also fits the retrospective variant: documenting an implementation after the fact (lessons learned, version history).
Orchestrate agile development workflows for Gitea repositories using the tea CLI. Use when working with Gitea-hosted repos and asking to 'run the workflow', 'continue working', 'what's next', 'complete the task cycle', 'start my day', 'end the sprint', 'implement the next task', or wanting guided step-by-step development assistance. Keywords: workflow, orchestrate, agile, task cycle, sprint, daily, implement, review, PR, standup, retrospective, gitea, tea.
Sakura Chroma — Vintage Japanese cassette-package aesthetic: cream paper, diagonal rainbow ribbons, condensed bold type, JIS-style spec checkboxes. Anything that should feel like a vintage Japanese cassette package or a TDK / Sony / Sakura Color product catalogue: indie hardware brand decks, music-label release schedules, analog studio retrospectives, zine and magazine pitches, kawaii-tech product launches, creative-studio annual reports.
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
Scrum methodology including sprints, ceremonies, backlog management, and agile practices. Activate for sprint planning, standups, retrospectives, and agile workflows.
Scrum framework fundamentals and sprint goal writing. Covers sprint planning, sprint goals, daily scrums, sprint reviews, retrospectives, scrum roles, artifacts, and goal-writing templates (SMART, FOCUS, FAB). Use when planning sprints, writing sprint goals, or facilitating scrum events.
Use this skill when the user wants to debug, diagnose, or systematically iterate on an experiment that already exists, or when they need a structured experiment log for tracking runs, hypotheses, failures, results, and next steps during active research. Apply it to underperforming methods, training that will not converge, regressions after a change, inconsistent results across datasets, aimless experimentation without progress, and questions like 'why doesn't this work?', 'no progress after many attempts', or 'how should I investigate this failure?'. Also use it for setting up practical experiment logging/record-keeping that supports debugging and iteration. Do not use it for designing a brand-new experiment pipeline or full experiment program (use experiment-pipeline), generating research ideas, fixing isolated coding/syntax errors, or writing retrospective summaries into research memory/notes/knowledge bases.