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Use when the user wants to run Resend commands in the shell, scripts, or CI/CD pipelines, or send/preview React Email templates. Always load this skill before running `resend` commands — it contains the non-interactive flag contract and gotchas that prevent silent failures.\n","resend-cli",{"claudeCode":12},"SKILL.md frontmatter at skills/resend-cli/SKILL.md",[473,474,475,477,478,479,480,481,482,484,486,487,488,489,490,491],{"path":366,"priority":326},{"path":427,"priority":343},{"path":476,"priority":343},"references/auth.md",{"path":429,"priority":343},{"path":431,"priority":343},{"path":433,"priority":343},{"path":435,"priority":343},{"path":437,"priority":343},{"path":483,"priority":343},"references/emails.md",{"path":485,"priority":343},"references/error-codes.md",{"path":445,"priority":343},{"path":449,"priority":343},{"path":461,"priority":343},{"path":463,"priority":343},{"path":465,"priority":343},{"path":492,"priority":343},"references/workflows.md",{"sources":494},[495],"manual",{"closedIssues90d":235,"description":497,"forks":236,"license":241,"openIssues90d":235,"pushedAt":238,"readmeSize":233,"stars":239,"topics":498},"Agent Skills for working with Resend to send and receive emails.",[],{"classifiedAt":500,"discoverAt":501,"extractAt":502,"githubAt":502,"updatedAt":500},1778696532855,1778696528193,1778696531172,[217,216,215,218,219],{"evaluatedAt":505,"extractAt":291,"updatedAt":245},1778696595178,[],[508,542,564,586,612,645],{"_creationTime":509,"_id":510,"community":511,"display":512,"identity":518,"providers":522,"relations":535,"tags":538,"workflow":539},1778695548458.385,"k17avw7n0q0zss1q5kna5zvjzx86mdvr",{"reviewCount":8},{"description":513,"installMethods":514,"name":516,"sourceUrl":517},"Prepare an organisation for regulatory inspection by assessing readiness against agency-specific focus areas (FDA, EMA, MHRA). Covers warning letter and 483 theme analysis, mock inspection protocols, document bundle preparation, inspection logistics, and response template creation. Use when a regulatory inspection has been announced or is anticipated, when a periodic self-assessment is due, when new systems have been implemented since the last inspection, or after a significant audit finding that may attract regulatory attention.\n",{"claudeCode":515},"pjt222/agent-almanac","prepare-inspection-readiness","https://github.com/pjt222/agent-almanac",{"basePath":519,"githubOwner":520,"githubRepo":521,"locale":260,"slug":516,"type":250},"skills/prepare-inspection-readiness","pjt222","agent-almanac",{"evaluate":523,"extract":534},{"promptVersionExtension":208,"promptVersionScoring":209,"score":524,"tags":525,"targetMarket":279,"tier":220},100,[217,526,527,528,529,530,531,532,533],"gxp","inspection","fda","ema","mhra","readiness","documentation","process-automation",{"commitSha":282},{"parentExtensionId":536,"repoId":537},"k170h0janaa9kwn7cfgfz2ykss86mmh9","kd7aryv63z61j39n2td1aeqkvh86mh12",[217,532,529,528,526,527,530,533,531],{"evaluatedAt":540,"extractAt":541,"updatedAt":540},1778700122939,1778695548458,{"_creationTime":543,"_id":544,"community":545,"display":546,"identity":550,"providers":552,"relations":560,"tags":561,"workflow":562},1778695548458.3782,"k17a4rtftm1z500gdcksks32wx86n9p2",{"reviewCount":8},{"description":547,"installMethods":548,"name":549,"sourceUrl":517},"Design and operate a data integrity monitoring programme based on ALCOA+ principles. Covers detective controls, audit trail review schedules, anomaly detection patterns (off-hours activity, sequential modifications, bulk changes), metrics dashboards, investigation triggers, and escalation matrix definition. Use when establishing a data integrity monitoring programme for GxP systems, preparing for inspections where data integrity is a focus area, after a data integrity incident requiring enhanced monitoring, or when implementing MHRA, WHO, or PIC/S guidance.\n",{"claudeCode":515},"monitor-data-integrity",{"basePath":551,"githubOwner":520,"githubRepo":521,"locale":260,"slug":549,"type":250},"skills/monitor-data-integrity",{"evaluate":553,"extract":559},{"promptVersionExtension":208,"promptVersionScoring":209,"score":524,"tags":554,"targetMarket":279,"tier":220},[217,526,555,556,557,558],"data-integrity","alcoa","monitoring","anomaly-detection",{"commitSha":282},{"parentExtensionId":536,"repoId":537},[556,558,217,555,526,557],{"evaluatedAt":563,"extractAt":541,"updatedAt":563},1778699562914,{"_creationTime":565,"_id":566,"community":567,"display":568,"identity":572,"providers":574,"relations":582,"tags":583,"workflow":584},1778695548458.3718,"k175vfqr247swcyt62e6v08a4x86mtf1",{"reviewCount":8},{"description":569,"installMethods":570,"name":571,"sourceUrl":517},"Investigate root causes and manage CAPAs (Corrective and Preventive Actions) for compliance deviations. Covers investigation method selection (5-Why, fishbone, fault tree), structured root cause analysis, corrective vs preventive action design, effectiveness verification, and trend analysis. Use when an audit finding requires a CAPA, when a deviation or incident occurs in a validated system, when a regulatory observation needs a formal response, when a data integrity anomaly requires investigation, or when recurring issues suggest a systemic root cause.\n",{"claudeCode":515},"investigate-capa-root-cause",{"basePath":573,"githubOwner":520,"githubRepo":521,"locale":260,"slug":571,"type":250},"skills/investigate-capa-root-cause",{"evaluate":575,"extract":581},{"promptVersionExtension":208,"promptVersionScoring":209,"score":524,"tags":576,"targetMarket":279,"tier":220},[217,577,578,579,526,580],"capa","investigation","root-cause-analysis","auditing",{"commitSha":282},{"parentExtensionId":536,"repoId":537},[580,577,217,526,578,579],{"evaluatedAt":585,"extractAt":541,"updatedAt":585},1778699030088,{"_creationTime":587,"_id":588,"community":589,"display":590,"identity":596,"providers":599,"relations":606,"tags":608,"workflow":609},1778696923757.7725,"k17c4m9c7dd4039yczkzej1wrs86n3pk",{"reviewCount":8},{"description":591,"installMethods":592,"name":594,"sourceUrl":595},"Master skill for legal teams using Claude. Loads the right reference for the user's question (privilege configuration, MCP hardening, verification, long documents, practice-area patterns, skill authoring) and routes to specialized starter skills (NDA triage, version diff, meeting brief, citation verification, status synthesis). Auto-invokes when the user mentions legal work, contracts, redlines, NDAs, privilege, attorney-client, court filings, depositions, regulatory compliance, or asks how to set up Claude for a law firm or in-house legal team.",{"claudeCode":593},"sboghossian/master-claude-for-legal","Master Claude for Legal","https://github.com/sboghossian/master-claude-for-legal",{"basePath":259,"githubOwner":597,"githubRepo":598,"locale":260,"slug":598,"type":250},"sboghossian","master-claude-for-legal",{"evaluate":600,"extract":605},{"promptVersionExtension":208,"promptVersionScoring":209,"score":524,"tags":601,"targetMarket":279,"tier":220},[602,603,604,217,532],"legal","llm-ops","automation",{"commitSha":282,"license":241},{"repoId":607},"kd72fmh49vwat89ksfnb322tbh86nazp",[604,217,532,602,603],{"evaluatedAt":610,"extractAt":611,"updatedAt":610},1778696937293,1778696923757,{"_creationTime":613,"_id":614,"community":615,"display":616,"identity":622,"providers":627,"relations":636,"tags":640,"workflow":641},1778693805112.8403,"k177f7s31ysk6nw1qw3sak1r3186n795",{"reviewCount":8},{"description":617,"installMethods":618,"name":620,"sourceUrl":621},"Evolution Engine 的领域知识 — 支持 LLM 从原始 OHLCV 数据中自主发现策略。涵盖生成-回测-选择-进化循环、向量化回测、样本外验证和策略梯度。在发现交易模式、运行回测、进化策略或审查进化日志时使用。由“evolve”、“discover patterns”、“backtest”、“evolution”、“strategy generation”、“candidate strategy”触发。",{"claudeCode":619},"mnemox-ai/tradememory-protocol","TradeMemory Protocol","https://github.com/mnemox-ai/tradememory-protocol",{"basePath":623,"githubOwner":624,"githubRepo":625,"locale":18,"slug":626,"type":250},"tradememory-plugin/skills/evolution-engine","mnemox-ai","tradememory-protocol","evolution-engine",{"evaluate":628,"extract":635},{"promptVersionExtension":208,"promptVersionScoring":209,"score":524,"tags":629,"targetMarket":279,"tier":220},[630,631,632,633,217,634],"trading","ai","memory","audit","llm",{"commitSha":282,"license":241},{"parentExtensionId":637,"repoId":638,"translatedFrom":639},"k170vxkqee48k2xq1v55a025nh86nzn7","kd73z11kfekksxyrs8ds0snacs86ncdy","k171p5pgbfbm5g4k5sa3y4cj9s86m6hk",[631,633,217,634,632,630],{"evaluatedAt":642,"extractAt":643,"updatedAt":644},1778693678813,1778693539593,1778693805112,{"_creationTime":646,"_id":647,"community":648,"display":649,"identity":655,"providers":659,"relations":670,"tags":673,"workflow":674},1778693768760.7378,"k175yn0rkw0qm6g8ctn8fm789586mft8",{"reviewCount":8},{"description":650,"installMethods":651,"name":653,"sourceUrl":654},"使用并行子代理军队管理 context-mode GitHub 问题、PR、发布和营销。为每个任务编排 10-20 个动态代理。在分类问题、审查 PR、发布版本、撰写 LinkedIn 帖子、宣布发布、修复错误、合并贡献、验证 ENV 变量、测试适配器或同步分支时使用。",{"claudeCode":652},"mksglu/context-mode","context-mode-ops","https://github.com/mksglu/context-mode",{"basePath":656,"githubOwner":657,"githubRepo":658,"locale":18,"slug":653,"type":250},".claude/skills/context-mode-ops","mksglu","context-mode",{"evaluate":660,"extract":669},{"promptVersionExtension":208,"promptVersionScoring":209,"score":524,"tags":661,"targetMarket":279,"tier":220},[662,663,664,665,666,667,668,217],"context-window","llm-optimization","session-continuity","code-generation","developer-tool","productivity","security",{"commitSha":282},{"repoId":671,"translatedFrom":672},"kd764b2fctbqg4b8j8y6xvmkvs86m29m","k1758b69g51wttzw4r6epd3jrs86mtk8",[665,217,662,666,663,667,668,664],{"evaluatedAt":675,"extractAt":676,"updatedAt":677},1778693567505,1778693511416,1778693768760]