Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
日本語の概要は準備中です。原文の説明を表示しています。
Historical and period world art direction for Blender including Western, pirate, samurai/ninja, Viking, ancient Egypt/Greece/Rome, Victorian, modern, and military eras.
日本語の概要は準備中です。原文の説明を表示しています。
Psychological horror art direction for Blender assets inspired by Silent Hill, Resident Evil, Chilla's Art, Fear to Fathom, and Iron Lung. Use for sparse industrial environments, analog aesthetics, and tension-driven lighting.
日本語の概要は準備中です。原文の説明を表示しています。
Manga-inspired art direction for Blender emphasizing monochrome value design, speed lines, screentone feel, and manga panel staging.
日本語の概要は準備中です。原文の説明を表示しています。
Low-poly art direction for Blender inspired by PS1/PS2, Lethal Company, Mouthwashing, and Fear to Fathom. Use for readable silhouettes, minimal polygons, simple materials, and strong atmosphere.
日本語の概要は準備中です。原文の説明を表示しています。
Retro 8-bit art direction for Blender-assisted pixel/low-res aesthetics inspired by NES-era constraints.
日本語の概要は準備中です。原文の説明を表示しています。
Dreamcore, weirdcore, and traumacore-inspired art direction for Blender with nostalgic wrongness, liminal nostalgia, and surreal childhood spaces.
日本語の概要は準備中です。原文の説明を表示しています。
Art-direct complete illustrated websites and write project-specific image-generation prompts. Use when the user requests Illustrated Gallery, a gallery-inspired visual style, or $illustrated-gallery. Covers visual direction, original artwork, and page-wide composition; not a fixed website clone, standalone image task, or generic dashboard skill.
日本語の概要は準備中です。原文の説明を表示しています。
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
日本語の概要は準備中です。原文の説明を表示しています。
Apply Andrej Karpathy-inspired coding-agent guidelines in Codex. Use when writing, reviewing, debugging, or refactoring code to surface assumptions, avoid overengineering, keep edits surgical, and define verifiable success criteria.
日本語の概要は準備中です。原文の説明を表示しています。
Identifies bug-introducing commits using SZZ-style analysis based on bug-fixing commits, commit history, and code blame information. Use this skill when you need to trace bugs back to their origin, identify which commits introduced bugs, analyze bug-fix commits to find root causes, perform software repository mining for bug analysis, or conduct empirical studies on software defects. Triggers when users ask to find bug-introducing commits, identify when a bug was introduced, trace bug origins, perform SZZ analysis, or analyze bug-fixing commits.
日本語の概要は準備中です。原文の説明を表示しています。
Identify bug-introducing commits using semantic analysis that extends traditional SZZ algorithm. Distinguishes semantic changes from refactorings or code movements using control-flow and data-flow similarity analysis. Use when analyzing bug-fix commits to trace back to bug-introducing changes, investigating software evolution, conducting empirical studies on defect prediction, or reducing false positives in bug localization. Supports git repositories and provides explanations for why commits are identified as bug-introducing.
日本語の概要は準備中です。原文の説明を表示しています。
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
日本語の概要は準備中です。原文の説明を表示しています。
120+ Vue/Nuxt animated components with TailwindCSS v4, motion-v, GSAP, Three.js. Use for hero sections, 3D effects, interactive backgrounds, or encountering setup, CSS variables, motion-v integration errors.
日本語の概要は準備中です。原文の説明を表示しています。
Idempotent API operations with idempotency keys, Redis caching, DB constraints. Use for payment systems, webhook retries, safe retries, or encountering duplicate processing, race conditions, key expiry errors.
日本語の概要は準備中です。原文の説明を表示しています。
Indie maker playbook for bootstrapped apps inspired by Pieter Levels' MAKE: The Indie Maker Blueprint. Use when a user is starting or sizing an app idea, choosing what to build next, building a minimal product, preparing a launch, diagnosing stalled growth, deciding pricing or monetization, automating operations, maintaining a per-app MAKE.md tracker, or evaluating whether to sell a product.
日本語の概要は準備中です。原文の説明を表示しています。
Flaky test fixes: detect nondeterministic tests empirically (repeat/shuffle/parallel runs), diagnose the root cause, fix it — never retry/skip/sleep — and verify across many randomized runs. Triggers on "absolute deflake", "fix flaky tests", "CI is flaky", "this test fails randomly/intermittently".
日本語の概要は準備中です。原文の説明を表示しています。
Design and verify auditable human oversight, approval gates, escalation paths, and safe state transitions for AI agent workflows. Use when deciding which agent actions require review, adding approve/reject or dual-control flows, preventing unauthorized autonomous effects, creating decision records, reducing rubber-stamping, or recovering safely from rejected, expired, or failed actions.
日本語の概要は準備中です。原文の説明を表示しています。
Think and work like an expert Logician. Use when a task calls for Logician judgment. Reasons from syntax-versus-semantics and object-versus-metalanguage discipline, the ⊢/⊨ distinction, and matching each logic to its intended semantics through natural deduction and sequent calculus (cut-elimination, subformula property), compactness and Löwenheim–Skolem, forcing and diagonalization, and proof assistants (Lean 4/mathlib, Coq, Isabelle/HOL, Agda) with Z3/CVC5/Vampire/Mace4 automation while treating use–mention conflation, second-order misuse of compactness, mis-stated incompleteness hypotheses (ω-consistency vs consistency), and Gödel philosophical overreach as first-class failure modes.
日本語の概要は準備中です。原文の説明を表示しています。
Think and work like an expert Membrane Biophysicist. Use when a task calls for Membrane Biophysicist judgment. Reasons from Helfrich elasticity, Lo/Ld phase behavior, and intrinsic curvature; builds GUVs, SLBs, nanodiscs, and BLMs; reads Laurdan GP, FRAP/FCS, aspiration, and electrophysiology while treating multilamellarity, detergent carryover, and probe misinterpretation as first-class failure modes.
日本語の概要は準備中です。原文の説明を表示しています。
Think and work like an expert Mathematical Statistician. Use when a task calls for Mathematical Statistician judgment. Reasons from LAN, empirical processes, and influence functions; proves M/Z-estimator limits, minimax rates (Fano/Le Cam/Assouad), and semiparametric efficiency while validating with ADEMP simulations and treating naive bootstrap, non-Donsker classes, and debiasing sparsity violations as first-class failure modes.
日本語の概要は準備中です。原文の説明を表示しています。
Think and work like an expert Microbial Physiologist. Use when a task calls for Microbial Physiologist judgment. Reasons from Monod/chemostat (μ = D), YX/S and Pirt maintenance, Crabtree/overflow, 13C-MFA and FBA, and BMSAB taxonomy; treats OD-as-biomass yield error, FBA-as-measured-flux, washout misread, and portable ms across media as first-class failure modes.
日本語の概要は準備中です。原文の説明を表示しています。
Think and work like an expert Fermentation Scientist. Use when a task calls for Fermentation Scientist judgment. Reasons from Monod–Luedeking–Piret kinetics, overflow μcrit, OTR/RQ/RAMOS analytics, DoE media optimization, and 13C-MFA/COBRApy flux bounds while treating stuck-ferment ethanol×T synergy, SSF heat/moisture gradients, and OD-as-biomass red herrings as first-class failure modes.
日本語の概要は準備中です。原文の説明を表示しています。
Think and work like an expert Galactic Astronomer. Use when a task calls for Galactic Astronomer judgment. Reasons from distance ladders, dust extinction, and survey selection functions through Gaia DR3 cross-matches, isochrone and Bayesian SFH fitting (PARSEC/MIST, Starfish), and orbit integration in named potentials (McMillan17, MWPotential2015) via galpy, Agama, and Gala, while treating parallax-S/N and RUWE failures, unresolved binaries and fiber collisions, dust-or-crowding overdensities, and spiral-arm-mimicking-streams as first-class failure modes.
日本語の概要は準備中です。原文の説明を表示しています。