1.1万 件 ・ 関連度順
概要と使いどころ
Import a self-contained NeatContext context bundle shared by another person, or reconcile a newer copy of a context already on this machine, leaving the source bundle unchanged. Use only when the user explicitly invokes this skill or asks to import a NeatContext bundle.
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。
Import a self-contained NeatContext context bundle shared by another person, or reconcile a newer copy of a context already on this machine, leaving the source bundle unchanged. Use only when the user explicitly invokes this skill or asks to import a NeatContext bundle.
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。
Report which extensions the connected NeatContext context expects, and whether this machine provides them. Use when the user asks what a context can reach, why an extension tool is missing, or how to connect one here.
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。
Export a NeatContext context saved from a conversation into a self-contained bundle folder that can be shared or moved to another machine. Use only when the user explicitly invokes this skill or asks to export a NeatContext context.
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。
Export a NeatContext context saved from a conversation into a self-contained bundle folder that can be shared or moved to another machine. Use only when the user explicitly invokes this skill or asks to export a NeatContext context.
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。
Report which extensions the connected NeatContext context expects, and whether this machine provides them. Use when the user asks what a context can reach, why an extension tool is missing, or how to connect one here.
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。
Summarizes uncommitted git changes in a concise machine-readable format. Use in CI pipelines, scripts, or headless invocations where the output will be piped or captured.
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。
Research the codebase to answer a question without making any changes. Use when exploring code, understanding architecture, or investigating how something works.
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。
Builds the "Report Sources" child page for a finished Weekly Community Signal report — an evidence-backed defense of WHY every item landed in the column/section/rank it did. The agent argues each placement like a lawyer (claim → evidence → rule → rebuttal) but is under oath: it CANNOT invent, spin, or overstate — every claim ties to a verifiable fact (issue #, label, PR type, quoted comment, npm output, the front-door test). Not CYA — it's so Nathan can defend the report with facts and see the exact reasoning behind each call. Runs after the report (invoked by weekly-report, last steps) and on "report sources", "defend the report", "why is this here".
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。
Chicago CTA L train arrivals, bus predictions, and service alerts.
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。
Adaptive communication coaching that shapes.
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。
A comprehensive AI skill for teaching.
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。
Expert-level algorithms and complexity theory covering sorting, searching, graph algorithms, dynamic programming, greedy algorithms, NP-completeness, and algorithm design paradigms.
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。
Expert-level computational biology covering molecular dynamics simulation, protein structure prediction, systems biology, network analysis, and machine learning in biology.
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。
Expert-level mathematical logic knowledge. Use when working with propositional logic, first-order logic, proof theory, model theory, computability theory, Godel incompleteness theorems, set theory, type theory, or formal verification. Also use when the user mentions 'formal proof', 'Godel', 'incompleteness', 'Turing machine', 'decidability', 'Zermelo-Fraenkel', 'axiom of choice', 'model theory', 'completeness theorem', 'computability', 'formal language', or 'type theory'.
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。
Expert-level linear algebra knowledge. Use when working with vectors, matrices, determinants, eigenvalues, linear transformations, vector spaces, inner products, decompositions, or applications in machine learning and physics. Also use when the user mentions 'matrix', 'determinant', 'eigenvalue', 'eigenvector', 'linear transformation', 'vector space', 'basis', 'orthogonality', 'SVD', 'PCA', 'least squares', 'null space', or 'rank'.
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。
Expert-level number theory knowledge. Use when working with divisibility, prime numbers, modular arithmetic, congruences, Diophantine equations, cryptography, quadratic residues, or analytic number theory. Also use when the user mentions 'prime', 'divisibility', 'modular arithmetic', 'congruence', 'GCD', 'Euler totient', 'Fermat little theorem', 'Chinese remainder theorem', 'quadratic residue', 'Diophantine equation', 'RSA', or 'prime factorization'.
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。
Expert-level acoustics knowledge. Use when working with sound waves, acoustic propagation, resonance, standing waves, Doppler effect, room acoustics, ultrasound, noise control, musical acoustics, or architectural acoustics. Also use when the user mentions 'sound wave', 'decibel', 'frequency', 'resonance', 'standing wave', 'Doppler effect', 'acoustic impedance', 'reverberation', 'ultrasound', 'noise control', 'harmonics', or 'sound intensity'.
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。
Expert-level statistics knowledge. Use when working with probability distributions, hypothesis testing, regression, Bayesian statistics, statistical inference, experimental design, ANOVA, or statistical modeling. Also use when the user mentions 'p-value', 'confidence interval', 'hypothesis test', 'regression', 'ANOVA', 'chi-square', 't-test', 'Bayesian', 'maximum likelihood', 'statistical significance', 'correlation', 'normal distribution', or 'sampling distribution'.
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。
Validate whether a feature request fits the existing codebase — check for duplicates, contradictions, scope creep, and architectural misfit
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。
Shaping a UI component tree — composition vs inheritance, slot patterns, prop API design, controlled vs uncontrolled, polymorphic — on 'split this component'. Feeds react-shadcn-ui.
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。
Use when a cross-workspace import will not resolve — cannot find module @org/*, TS2307 — to link the packages properly with the workspace: protocol instead of patching tsconfig paths.
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。
Use when setting up React Native or Expo dev environments — Xcode, Android Studio, CocoaPods, EAS, Metro, New Architecture — even when the user just says 'my RN build won't start'.
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。
Raw discovery primitives — project discovery, version resolution, docs loading, architecture mapping, execution flow. Called by `universal-project-analysis`. Single-pass scan → `project-analyzer`.
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。