Compute and analyze gematria (Hebrew numerical values) using standard, ordinal, and reduced methods. Covers word-to-number conversion, isopsephy comparisons, and interpretive frameworks. Use when computing the numerical value of a Hebrew word or phrase, comparing two words for shared gematria values, studying a biblical verse or divine name for numerical correspondences, or connecting a numerical result to its position on the Tree of Life.
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。
pjt222/agent-almanac☆ 372026年10月13日 更新
Analyze prime numbers using primality tests, factorization algorithms, prime distribution analysis, and sieve methods. Covers trial division, Miller-Rabin, Sieve of Eratosthenes, and the Prime Number Theorem. Use when determining whether an integer is prime or composite, finding prime factorizations, counting or listing primes up to a bound, or investigating prime properties within a number-theoretic proof or computation.
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。
pjt222/agent-almanac☆ 372026年10月13日 更新
Address unwanted dog behaviors through desensitization, counter-conditioning, and management. Covers reactivity (to dogs, people, sounds), separation anxiety, resource guarding, excessive barking, and leash pulling using force-free methods with systematic threshold management. Use when a dog shows reactivity toward other dogs, people, or stimuli; when separation anxiety causes destructive behavior or vocalization; when resource guarding is present; or when behaviors like excessive barking or leash pulling interfere with daily life — after basic obedience is established.
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。
pjt222/agent-almanac☆ 372026年10月13日 更新
Django ORM patterns: model definitions, field types, model managers, custom QuerySet methods, select_related/prefetch_related for N+1 prevention, transactions, F/Q expressions, Meta indexes and constraints. For django-architect (model definitions) and django-migrations-specialist (field finalization). Activated automatically by django-plugin/stack.md. Use this skill to: - Write clean, efficient Django model definitions with proper field choices and __str__. - Use custom managers and QuerySets to encapsulate query logic. - Prevent N+1 queries with select_related and prefetch_related. - Use transactions for atomic operations. - Define Meta indexes and constraints (for django-migrations-specialist to finalize). Do NOT use this skill for: - Creating actual migrations (makemigrations) — that is django-migrations-specialist. - Web view / API patterns — see django-plugin:django-conventions. - Python idioms — see python-foundation:python-conventions.
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。
AratKruglik/claude-sdlc☆ 372026年9月21日 更新
Protein language models through the EvolutionaryScale `esm` Python SDK. Generate and embed sequences with ESM3 (multimodal sequence, structure and function prompting), extract per-residue and mean-pooled embeddings with ESM C, fold sequences with ESMFold2, and run inference locally or against the Forge and Biohub hosted clients. Use this skill for protein representation learning, variant effect and mutational scanning from likelihoods, sequence generation and inpainting, structure prediction from sequence alone, and embedding features for downstream models. Also trigger on esm, ESM3, ESMC, ESM Cambrian, ESMFold2, `from esm.models`, ESMProtein, GenerationConfig, forge.evolutionaryscale.ai, biohub.ai, or ESM_API_KEY.
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。
K-Dense-AI/drug-discovery-agent-skills☆ 372026年10月12日 更新
最强经理之争——把四位风格迥异的中国权益基金经理(易方达郑希、易方达张坤、易方达武阳、财通金梓才)放进同一个擂台, 用他们各自的全部公开观点原文 + 全部在管基金真实数据(季度持仓/净值/回撤/规模),做可溯源的对比与应用。能做: (1) 经理之争擂台——同口径比收益/最大回撤/回撤恢复/波动/Calmar/换手/规模,给"分场景谁更强、各自长短板"; (2) 行业/个股透视——给一个行业或股票,看四人谁持有/谁加减/谁更早布局,再用各自框架给"四个镜头"的综合看法; (3) 持仓/调仓追踪——逐季还原谁加仓、减仓、新进、清仓(季度颗粒度,公开数据能到的最细); (4) 多视角参考——用四人的方法和真实操作,多角度帮你理解一只基金/一个行业、校准自己的判断(只呈现不同视角,不替你做决定、不构成建议); (5) 溯源问答/方法讲解/风格化点评——引用某位经理本人原话答其观点,讲其投资框架,或用其口吻点评; (6) 言行对照——用真实持仓核对某位经理"说的"和"买的"。 (7) 进阶玩法——风格雷达+人设卡、本季调仓快报(共识/分歧)、言行一致性打分、观点时间机器(谁最早看到)、四人会诊(四种视角点评)、自定义擂台(把任意基金/经理拉进来比)。 When the user mentions 最强经理之争 / 经理对比 / 谁更强 / 回撤谁控得好 / 张坤/郑希/武阳/金梓才 / 景气轮动 vs 买入持有 / 风格雷达 / 人设 / 谁最早布局 / 言行一致 / 四人会诊 / 把某基金加进来比, asks who holds a sector or stock, wants 调仓追踪/调仓快报, a 风格化点评, words-vs-holdings, a style radar/persona, an opinion timeline, or to apply their methods to a fund/sector ——use this skill, even without the word "skill", even if the topic isn't in a corpus (fall back to that manager's method). 引用忠于原文、不杜撰;原话/推演/需核实分清;季度颗粒度非逐笔;研究学习辅助,非投资建议。
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。
lyra81604/who-is-the-best-manager☆ 342026年6月23日 更新
Set up the local iOS dev/build toolchain for NowStack Mobile: Xcode, Simulator, CocoaPods, Watchman, mobile deps, and first `expo run:ios`. Use for `/ns setup-ios`, simulator preview, `expo run:ios` failures, or before local TestFlight builds. macOS only; signing is `/ns ios setup`.
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。
Melvynx/saveit.now☆ 322026年10月10日 更新
Set up local iOS dev/build tooling for NowStack Mobile: Xcode, Simulator, CocoaPods, Watchman, mobile deps, and first `expo run:ios`. Use for `/ns ios local-setup`, legacy `/ns setup-ios`, simulator preview, or local TestFlight prerequisites. macOS only; signing is `/ns ios setup`.
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。
Melvynx/saveit.now☆ 322026年10月10日 更新
Produce a complete narrated MYTHIC SHORT FILM end-to-end on Unsora MCP in the layered cut-paper diorama style — stacked matte cardstock worlds, a strict three-colour palette, exposure that swings, paper wipes hiding every seam, landing on a face. Animation-movie storytelling, not an explainer: gods, monsters, heroes, folklore, origin myths and transformations, told in ten-second story beats with a mythic narrator, native paper foley, and one assembled MP4. Use whenever the user wants a myth, legend, fable, folktale or fairy-tale short, a cut-paper or papercraft animated story, "tell the story of X" as a video, a stop-motion-look mythic film, or says "run the cardstock diorama myth animation" or "run the diorama myth pipeline" — even with no story given, since the skill proposes myths itself. NOT for fact-driven explainers with charts and statistics (that is vox-motion-graphics).
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。
sadekxD/cardstock-diorama-myth☆ 312026年8月3日 更新
Correct, idiomatic, high-performance JSON encoding and decoding with github.com/go-faster/jx. Use this skill whenever you write or review jx-based Encode/Decode methods, implement JSON marshaling over jx, use jx.Decoder / jx.Encoder / jx.Writer, or encounter questions about jx buffer safety, Capture, pooling, or Writer vs Encoder trade-offs. Also trigger when the file imports "github.com/go-faster/jx" and you are adding or changing any encoding / decoding logic.
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。
gotd/botapi☆ 302026年9月22日 更新
Use free built-in .NET maintainability analyzers and code metrics configuration to find overly complex methods and coupled code. Use when a repo needs cyclomatic complexity checks, maintainability thresholds, or complexity-driven refactoring gates.
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。
managedcode/Orleans.RateLimiting☆ 292026年10月11日 更新
Use when working with the Racket backend, adding or modifying RPC methods, or understanding the Racket-Swift communication layer. Covers define-rpc, Backend.swift codegen, and the Noise RPC framework.
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。
Bogdanp/Ruckus☆ 282026年4月15日 更新
Use when implementing delays that must survive process restarts (e.g., 24-hour cart abandonment, scheduled follow-ups), waiting for human approval or external events with timeouts (review gates, webhook callbacks, async API completion), polling external services without losing state on crashes, calling other functions and awaiting their results, memoizing expensive operations so they don't re-run on retry, or running async work in parallel inside a workflow. Covers Inngest step methods: step.run, step.sleep, step.waitForEvent, step.waitForSignal, step.sendEvent, step.invoke, step.ai, plus patterns for loops and parallel execution.
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。
inngest/inngest-skills☆ 282026年9月29日 更新
On-demand journal peer review simulation expert — supports 7 research paradigms (experimental/computational/empirical_survey/interpretive/mixed_methods/systematic_review/interdisciplinary) with 6-step review workflow, outputting targeted revision suggestions based on journal-specific review standards.
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。
darker2016/workbuddy-skill-groups☆ 272026年8月17日 更新
Expert quantitative analyst specializing in financial modeling, algorithmic trading, and risk analytics. Masters statistical methods, derivatives pricing, and high-frequency trading with focus on mathematical rigor, performance optimization, and profitable strategy development.
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。
majiayu000/claude-skill-registry-data☆ 262026年10月13日 更新
Writes expert academic paper summaries for social science research, particularly political science and applied statistics. Use when asked to summarize, review, or create a reading summary of an academic paper, PDF, or research article. Accepts a file (PDF or text format) or a directory of papers. Produces a structured markdown summary — approximately 400–600 words — covering primary contributions, major questions and answers with point estimates, methods and data, and limitations and robustness. Includes BibTeX citation retrieved from Google Scholar and keyword metadata.
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。
christopherkenny/skills☆ 262026年7月9日 更新
"Apply ethnographic methods including prolonged engagement, participant observation, thick description, and netnography to study cultures and communities. Use this skill when the user needs to design fieldwork with immersive observation, interpret cultural practices through thick description, study online communities via netnography, or when they ask 'how do I study a culture or community', 'what is participant observation', or 'how do I apply ethnography to online settings'.".
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。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新
"Apply narrative research methods to understand human experience through stories, analyzing narrative structure, temporality, and meaning-making in life stories and oral histories. Use this skill when the user needs to analyze how people construct meaning through storytelling, examine narrative structure and plot, conduct life story or oral history research, or when they ask 'how do stories shape identity', 'how do I analyze a life narrative', or 'what does this story reveal about experience'.".
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。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新
"Apply phenomenological methods including bracketing (epoche), lived experience inquiry, and Interpretive Phenomenological Analysis (IPA) to uncover the essence of human experience. Use this skill when the user needs to study how people experience a phenomenon from the first-person perspective, apply Husserlian descriptive or Heideggerian interpretive phenomenology, conduct IPA with idiographic focus, or when they ask 'what is the lived experience of X', 'how do I bracket my assumptions', or 'how do I do IPA'.".
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。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新
"Apply Service-Dominant Logic (Vargo and Lusch, 2004) and value co-creation principles to reframe exchange and value creation. Use this skill when the user needs to redesign value propositions around service exchange, analyze co-creation dynamics between firms and customers, shift from goods-dominant to service-dominant thinking, or when they ask 'how is value created with customers', 'what is our service logic', or 'how do we enable co-creation'.".
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。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新
"Develop e-commerce strategy for Southeast Asian markets including platform selection, payment infrastructure, logistics challenges, and localization requirements. Use this skill when the user is expanding e-commerce to SEA, evaluating Shopee vs Lazada vs Tokopedia, or needs to understand SEA market differences — even if they say 'sell to Southeast Asia', 'which platform in Vietnam', 'SEA payment methods', or 'cross-border e-commerce in ASEAN'.".
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。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
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。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新
"Solve the newsvendor problem for single-period ordering decisions under uncertain demand. Use this skill when the user needs to determine optimal order quantity for perishable goods, seasonal products, or one-time purchase decisions — even if they say 'how much to order for this season', 'perishable inventory', or 'single-period ordering'.".
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。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新
"Apply exponential smoothing methods for time series forecasting with weighted moving averages. Use this skill when the user needs simple, robust forecasts, implement Holt-Winters for seasonal data, or build lightweight forecasting without complex models — even if they say 'simple forecast', 'moving average prediction', or 'smoothing method'.".
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。
charlieviettq/awesome-agent-skill☆ 262026年7月20日 更新