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Claude Skills by pjt222

github.com/pjt222
3,966 skillsA× 3,735B× 176C× 33D× 11F× 1111 installs4,548 views
Solve Electromagnetic InductionA

Solve problems involving changing magnetic flux using Faraday's law, Lenz's law, motional EMF, mutual and self-inductance, and RL circuit transients. Use when computing induced EMF from time-varying B-fields or moving conductors, determining current direction via Lenz's law, analyzing inductance and energy storage in magnetic fields, or solving RL circuit differential equations for switching transients.

ai-agentsangularexpress
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31
Solve Modular ArithmeticA

求解模运算问题:同余方程、中国剩余定理、Euler 定理和 模幂运算。涵盖基本模运算、线性同余方程组和密码学中的 RSA 算法应用。

ai-agentsbash
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31
Solve Trigonometric ProblemA

系统求解三角学问题:三角方程、三角形求解(正弦定理、余弦定理)、 恒等式证明和实际应用。涵盖角度转换、周期性分析、多解处理 和结果验证。

ai-agentsgobash
0
31
Stale Proof Rendered NumbersA

Make every measured number displayed in a generated artifact resolve from source files at build time, so stale numbers fail the build instead of rendering silently. Displayed figures become {metric.key} placeholders; a single extractor reads the real measurement artifacts (results JSON, run logs, ledgers) and emits a stats.json of value/source/as-of entries; the renderer substitutes at build and hard-fails on any missing key. Covers the single-writer discipline, pinning closed measurements wi...

ai-agentspythongo
0
31
Study Hebrew LettersA

研习二十二个希伯来字母作为神秘象征。涵盖字母形式、数值、元素/行星/黄道对应、 《创世之书》归属和冥想式字母默想技术。适用于研究特定字母超越语言功能的神秘 维度、学习《创世之书》中母字母、双字母和单字母的分类、需要字母的元素/行星/ 黄道对应、练习希伯来字母观想或吟诵冥想,或研究生命之树路径及其对应字母时。

ai-agentsgoangular
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31
Submit To CranA

将 R 包提交至 CRAN 的完整流程,包括提交前检查(本地、win-builder、 R-hub)、cran-comments.md 准备、URL 与拼写检查,以及提交操作本身。 涵盖首次提交与更新提交。适用于准备首次发布至 CRAN、提交已有 CRAN 包的 更新版本,或在收到 CRAN 审核反馈后重新提交的场景。

ai-agentsbashgit
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31
Survey Insect PopulationA

Design and execute insect population surveys covering survey design, sampling methods, field execution, specimen identification, diversity index calculation including Shannon-Wiener and Simpson indices, statistical analysis, and reporting. Covers defining survey objectives, selecting study sites, determining sampling intensity and replication, choosing sampling methods appropriate to target taxa, standardizing collection effort, recording environmental covariates, identifying specimens to the...

ai-agentsspringtesting
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31
Survey Theoretical LiteratureA

Survey and synthesize theoretical literature on a specific topic, identifying seminal papers, key results, open problems, and cross-domain connections. Use when starting research on an unfamiliar theoretical topic, writing a literature review for a paper or thesis, identifying open problems and research gaps, finding cross-domain connections, or evaluating the novelty of a proposed theoretical contribution against existing work.

researchapi
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31
Sweep Flag NamespaceA

Bulk-extract every candidate flag from a binary namespace, build an extraction inventory with occurrence counts and call-type tags, cross- reference against a documented set, and track completeness across probe campaigns until the undocumented remainder reaches zero. Covers namespace prefix harvesting, gate-vs-telemetry disambiguation at the call-site level, completeness metrics, DEFAULT-TRUE population reporting, and a final completion confirmation scan. Use upstream of probe-feature-flag- s...

ai-agentsbashgit
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31
Tai ChiA

将太极拳作为武术和内功修炼体系进行练习。涵盖站桩(站桩功)、 缠丝劲练习、杨式24式太极拳、招式的武术应用、推手(推手) 对练、呼吸和气的整合,以及建立日常练习。适用于开始或深化 太极练习、发展身体协调性和放松的结构对齐、或建立适合任何 年龄的低冲击日常运动练习。

ai-agents
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31
Teach GuidanceA

Guide a person in becoming a better teacher and explainer. AI coaches content structuring, audience calibration, explanation clarity, Socratic questioning technique, feedback interpretation, and reflective practice for technical presentations, documentation, and mentoring. Use when a person needs to present technical content and wants preparation coaching, wants to write better documentation or tutorials, struggles to explain concepts across expertise levels, is mentoring a colleague, or is p...

ai-agentsgodebugging
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TeachA

AI knowledge transfer calibrated to learner level and needs. Models the learner's mental state, scaffolds from known to unknown using Vygotsky's Zone of Proximal Development, employs Socratic questioning to verify understanding, and adapts explanations based on feedback signals. Use when a user asks "how does X work?" and needs graduated explanation, when their questions reveal a conceptual gap, when previous explanations have not landed, or when teaching a concept that depends on prerequisit...

ai-agentsgotesting
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Test A2a InteropA

Test A2A interoperability between agents by validating Agent Card conformance, exercising all task lifecycle states, and verifying streaming and error handling. Use when verifying a new A2A server implementation before deployment, validating interoperability between two or more A2A agents, running conformance tests in CI/CD for A2A services, debugging failures in multi-agent A2A workflows, or certifying that an agent meets A2A protocol requirements for a registry.

ai-agentstypescriptgo
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31
Test Cli ApplicationA

使用内置的 node:test 模块为 Node.js CLI 应用编写集成测试。涵盖 exec 辅助器模式、输出断言、文件系统状态验证、清理 hook、JSON 输出解析、 错误情况测试,以及破坏性测试后的状态恢复。在向现有 CLI 添加测试、 测试新命令、跨框架验证适配器行为,或为 CLI 工具设置 CI 时使用。

ai-agentsjavascripttypescript
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31
Test Shiny AppA

使用 shinytest2 进行端到端浏览器测试,以及使用 testServer() 对模块 server 逻辑进行单元测试。涵盖快照测试、CI 集成和外部服务模拟。适用于为现有 Shiny 应用添加测试、为新 Shiny 项目设置测试策略、在重构 Shiny 代码前编写回归测试, 或将 Shiny 应用测试集成到 CI/CD 流水线。

ai-agentsgobash
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31
Test Team CoordinationA

对团队执行测试场景,观察协调模式行为,评估验收标准,并生成结构化的 RESULT.md。适用于验证团队的协调模式在实际任务中是否产生预期行为、比较不同 协调模式在等效工作负载上的表现,或为团队组合建立基准性能。

ai-agentsbashtesting
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31
Tidy Project StructureA

Organize project files into conventional directories, update stale READMEs, clean configuration drift, and archive deprecated items without changing code logic. Use when files are scattered without clear organization, READMEs are outdated or contain broken examples, configuration files have multiplied across dev/staging/prod, deprecated files remain in the project root, or naming conventions are inconsistent across directories.

developmentjavascripttypescript
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31
Track Ml ExperimentsA

Set up MLflow tracking server for experiment management, configure autologging for popular ML frameworks, compare runs with metrics and visualizations, and manage artifacts in remote storage backends for reproducible machine learning workflows. Use when starting a new ML project that requires experiment tracking, migrating from manual logs to automated tracking, comparing multiple training runs systematically, or building reproducible ML workflows with full lineage tracking.

datapythonbash
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Translate ContentA

Translate agent-almanac content (skills, agents, teams, guides) into a target locale while preserving code blocks, IDs, and technical structure. Covers scaffolding, frontmatter setup, prose translation, code preservation, and freshness tracking. Use when localizing content for a new language, updating stale translations after source changes, or batch-translating a domain.

ai-agentsbashgit
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TransmuteA

将单个函数、模块或数据结构从一种形式转换为另一种形式,同时保持其本质行为。 比完整的 athanor 周期更轻量,适用于输入和输出形式都明确理解的定向转换。 适用于在语言之间转换函数、在范式之间转换模块、将 API 消费者迁移到新版本、 转换数据格式或替换依赖——当转换范围是单个函数、类或模块而非完整系统时。

developmentjavascripttypescript
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Troubleshoot Mcp ConnectionA

Diagnose and fix MCP server connection issues between Claude Code, Claude Desktop, and MCP servers. Covers Windows argument parsing, authentication failures, transport issues, and platform-specific debugging. Use when Claude Code or Claude Desktop fails to connect to an MCP server, when MCP tools don't appear in sessions, on "cannot attach the server" errors, when a working connection has stopped, or when setting up MCP on a new machine.

ai-agentspythongo
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31
Troubleshoot Print IssuesA

Diagnose and fix common 3D printing failures through systematic symptom analysis. Covers adhesion, stringing, layer shifts, warping, and under/over-extrusion issues. Use when a print fails during the first layer or partway through, finished prints have quality defects (stringing, blobs, gaps), dimensional accuracy issues occur (warping, elephant foot), layer adhesion fails, or new material or hardware changes are causing inconsistent results.

ai-agentsgobash
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Troubleshoot SeparationA

系统地诊断和解决色谱分离问题:记录症状、识别峰形和保留时间异常的根本原因、 评估基质效应,并使用逐一变量法对 GC 和 HPLC 系统实施针对性修复。

ai-agents
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Unleash The AgentsA

在并行波次中启动所有可用代理,对正确领域未知的问题进行开放式假设生成。 在面对无清晰起点的跨领域问题时、单代理方法停滞时,或多样视角比深度 专长更有价值时使用。产出带收敛分析和对抗性精炼的有序假设集。

ai-agentsgobash
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Update Skill ContentA

更新现有 SKILL.md 的内容以提高准确性、完整性和清晰度。涵盖版本号递增、步骤 精炼、常见问题扩展和相关技能同步。适用于技能步骤引用了过时工具或 API、常见 问题章节内容单薄、相关技能中有失效的交叉引用,或在收到技能步骤不清晰或不完 整的反馈后。

ai-agentsbashnode
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Use Graphql ApiA

通过命令行与 GraphQL API 交互——通过内省发现 Schema、构造查询和变更操作、 使用 gh api graphql 或 curl 执行、用 jq 解析响应,并通过 ID 管道链接操作。 适用于通过 GraphQL 自动化 GitHub Discussions、Issues 或 Projects、从脚本 集成任意 GraphQL 端点,或构建需要结构化 API 数据的 CLI 工作流。

ai-agentsgoshell
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Validate Analytical MethodA

按照 ICH Q2(R2) 指南验证色谱分析方法:按方法类别定义验证范围、通过强制降解 建立专属性、确定线性和范围、评估准确度和精密度,以及建立检测限和耐用性以用于 法规申报。

ai-agents
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Validate Piles NotationA

解析和验证 PILES(拼图输入行条目系统)表示法,用于指定 jigsawR 中的碎片 融合组。涵盖语法验证、解析为组列表、自然语言解释、根据拼图结果进行邻接 验证,以及往返序列化。适用于在传递给 generate_puzzle() 之前验证用户提供的 PILES 字符串、调试融合组问题、向用户解释表示法,以及测试往返解析/序列化保真度。

ai-agentsgobash
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31
Validate ReferencesA

Check BibTeX entries for completeness, DOI resolution, and broken links. Verify required fields per entry type (article, book, inproceedings), resolve and validate DOIs via the CrossRef API, check URL accessibility, and flag duplicate entries, missing abstracts, and inconsistent formatting. Use when preparing a manuscript bibliography for journal submission, auditing a shared .bib file before a project milestone, after merging bibliographies from multiple sources, when citations render incorr...

ai-agentsgobash
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Validate Statistical OutputA

通过双编程、独立验证和参考比较来验证统计分析输出。涵盖比较方法、 容差定义及受监管环境中的偏差处理。适用于验证法规申报的主要或 次要终点分析、执行双编程(R 与 SAS 或独立 R 实现),或在代码或 环境变更后重新验证时使用。

ai-agentsbashdocumentation
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Verify Agent OutputA

在智能体之间传递工作时验证可交付成果并建立证据记录。涵盖执行前的预期 结果规格、执行期间的结构化证据生成、基于外部锚点的执行后交付物验证、 压缩或摘要输出的保真度检查、信任边界分类,以及验证失败时的结构化分歧 报告。当协调多智能体工作流、审查跨智能体交接、生成面向外部的输出,或 审计智能体摘要是否忠实代表源材料时使用。

ai-agentsrustbash
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Verify Memory IntegrityA

Verify agent memory reachability and budget without modifying anything — orphan detection, broken links, dual-cap usage against the 200-line / 25KB truncation limits, and catalog conformance. Use at the start of a session before trusting memory contents, before and after any index compaction, after a rename or repository move, when a memory directory has grown past a few dozen topic files, or as a periodic health check.

ai-agentsjavascriptpython
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31
Verify Web App RuntimeA

Verify that a frontend or visual change actually works by running the app in headless Chromium and observing pixels plus console output — runtime verification for WebGL, GPGPU, Canvas, and WebAudio surfaces that static review and unit tests cannot cover. Launches with the SwiftShader/ANGLE flags WebGL2 needs, probes EXT_color_buffer_half_float before trusting a GPGPU path, asserts visibilityState === 'visible' and non-black canvas luminance (>1% of pixels lit), runs a second reduced-motion co...

ai-agentspythonrust
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Version Ml DataA

Version machine learning datasets using DVC (Data Version Control) with remote storage backends, build reproducible data pipelines with dependency tracking, integrate with Git workflows, and ensure data lineage for model reproducibility. Use when versioning large datasets that do not fit in Git, tracking data changes alongside code changes, ensuring ML experiment reproducibility, sharing datasets across team members, or auditing data lineage for compliance requirements.

ai-agentspythongo
0
31
Vishnu BhagaA

保持与维护——在扰动下维持工作状态、记忆锚定、一致性强制和保护性稳定化。将 毗湿奴的维持存在映射到 AI 推理:保持有效的东西稳定、将已验证的知识锚定以防 漂移、确保变化中的连续性。适用于工作方法面临范围蔓延的风险、上下文漂移威胁 已验证知识、shiva-bhaga 溶解之后保护幸存的东西、长会话中早期决定因上下文压缩 而面临丢失风险,或在对当前正常运行的系统进行更改之前使用。

ai-agentsgoapi
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Write Claude MdA

创建有效的 CLAUDE.md 文件,为 AI 编程助手提供项目专属指令。涵盖结构设计、 常用章节、规范与禁忌模式,以及与 MCP 服务器和智能体定义的集成。适用于新项目 引入 AI 助手、优化现有项目的 AI 行为、记录项目约定与限制,或将 MCP 服务器 或智能体定义集成到项目工作流中。

ai-agentstypescriptgo
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Write Continue HereA

写一个 CONTINUE_HERE.md 文件捕捉当前会话状态,使新的 Claude Code 会话 能从此次中断处接续。涵盖评估近期工作、用 objective、completed、in-progress、 next-steps 和 context 部分构造延续文件,并验证文件可执行。在结束有未完成 工作的会话、在会话间交接上下文,或保留 git 单独无法捕获的任务状态时使用。

ai-agentsbashgit
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31
Write Helm ChartC

Create production-ready Helm charts for Kubernetes application deployment with templating, values management, chart dependencies, hooks, and testing. Covers chart structure, Go template syntax, values.yaml design, chart repositories, versioning, and best practices for maintainable and reusable charts. Use when packaging a Kubernetes application for repeatable deployments, parameterizing manifests for multiple environments, managing complex multi-component applications with dependencies, or st...

ai-agentsgobash
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31
Write Incident RunbookA

创建包含诊断步骤、解决流程、升级路径和通信模板的结构化事故运行手册, 用于有效的事故响应。适用于为反复出现的告警记录响应流程、 在值班轮换中标准化事故响应、通过清晰的诊断步骤缩短 MTTR、 为新团队成员创建培训材料,或将告警注解直接链接到解决流程。

ai-agentsgobash
0
31
Write Roxygen DocsA

为 R 包函数、数据集和类编写 roxygen2 文档。涵盖所有标准标签、 交叉引用、示例及 NAMESPACE 条目的生成,遵循 tidyverse 文档风格。 适用于为新导出函数添加文档、记录内部辅助函数或数据集、记录 S3/S4/R6 类及方法,或修复文档相关的 R CMD check 注记。

ai-agentsbashapi
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Write Standard Operating ProcedureA

编写符合 GxP 的标准操作程序(SOP)。涵盖法规 SOP 模板结构(目的、 范围、定义、职责、程序、参考、修订历史)、审批工作流程设计、定期 审核计划和系统使用的操作程序。适用于新的已验证系统需要操作程序、 现有非正式程序需要正式化、审计发现引用缺少程序、变更控制触发 SOP 更新,或定期审核发现程序内容已过时时使用。

ai-agentsbashgcp
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Write Testthat TestsA

为 R 包函数编写全面的 testthat(第 3 版)测试。涵盖测试组织、 断言、固件、模拟、快照测试、参数化测试及高覆盖率的实现。 适用于为新包函数添加测试、提升现有代码的测试覆盖率、为缺陷 修复编写回归测试,或为缺少测试基础设施的包进行搭建。

ai-agentsbashtesting
0
31
Write Validation DocumentationA

为受监管环境中的计算机化系统编写 IQ/OQ/PQ 验证文档。涵盖协议、 报告、测试脚本、偏差处理和审批工作流程。适用于为受监管用途验证 R 或其他软件、准备法规审计、记录计算环境确认,或为新系统或 重新确认的系统创建和更新验证协议与报告时使用。

ai-agentsbashdocumentation
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Write VignetteA

使用 R Markdown 或 Quarto 创建 R 包 vignette。涵盖 vignette 设置、 YAML 配置、代码块选项、构建与测试,以及 CRAN 对 vignette 的要求。 适用于添加入门教程、记录跨多个函数的复杂工作流、创建领域特定指南, 或 CRAN 提交要求提供函数帮助页之外的用户文档的场景。

ai-agentsbashapi
0
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TemplateA

One to three sentences describing what this skill accomplishes, followed by key activation triggers. This field is the primary mechanism agents use to decide whether to activate the skill — it is read during discovery before the full body is loaded. Start with a verb. Include the most important "when to use" conditions inline. Max 1024 characters.

ai-agentstypescriptpython
0
31
Adapt ArchitectureA

Execute structural metamorphosis using strangler fig migration, chrysalis phases, and interface preservation. Covers transformation planning, parallel running, progressive cutover, rollback design, and post-metamorphosis stabilization for system architecture evolution. Use when assess-form has classified the system as READY for transformation, when migrating from monolith to microservices, when replacing a core subsystem while dependents continue operating, or when any architectural change mu...

ai-agentsgoshell
0
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AdapticA

Master skill composing the 5-step synoptic cycle for panoramic synthesis across multiple domains. Orchestrates meditate, expand-awareness, observe, awareness, integrate-gestalt, and express-insight into a coherent process that produces unified understanding rather than sequential compromise. Use when a problem genuinely spans 3+ domains and the interactions between domains matter more than depth in any one, when sequential analysis feels like compromise rather than integration, or before majo...

ai-agentsgoexpress
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31
Add Puzzle TypeA

Scaffold a new puzzle type across all 10+ pipeline integration points in jigsawR. Creates the core puzzle module, wires it into the unified pipeline (generation, positioning, rendering, adjacency), adds ggpuzzle geom/stat layers, updates DESCRIPTION and config.yml, extends the Shiny app, and creates a comprehensive test suite. Use when adding a completely new puzzle type to the package or following the 10-point integration checklist to ensure nothing is missed end-to-end.

ai-agentsgobash
0
31
Add Rcpp IntegrationA

Add Rcpp or RcppArmadillo integration to an R package for high-performance C++ code. Covers setup, writing C++ functions, RcppExports generation, testing compiled code, and debugging. Use when an R function is too slow and profiling confirms a bottleneck, when you need to interface with existing C/C++ libraries, or when implementing algorithms (loops, recursion, linear algebra) that benefit from compiled code.

ai-agentsgoc++
0
31
AikidoA

Practice aikido as a defensive martial art emphasizing harmony, redirection, and controlled resolution. Covers centering and grounding, ukemi (safe falling and rolling), core techniques (irimi-nage, shiho-nage, kote-gaeshi, ikkyo), blending and tai sabaki (body movement), randori (multiple attacker practice), weapons awareness, and applying principles off the mat. Use when learning a defensive martial art that prioritizes de-escalation, developing the ability to redirect aggression without ca...

ai-agentsgo
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