القائمة
Recomputes upcoming workouts based on recent runs, feedback, and safety limits.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/nadavyigal/Running-coach- --skill plan-adjusterيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Plan, build, sign, test, automate, distribute, and troubleshoot professional iOS applications. Use when Codex needs to work on Swift or Objective-C iPhone or iPad apps, Xcode projects or workspaces, app extensions, signing and provisioning, Swift Package plugins, Xcode Source Editor Extensions, CI/CD with GitHub Actions, fastlane, or Xcode Cloud, TestFlight distribution, App Store submission, or release engineering workflows for Apple platforms.
Build, sign, test, archive, and distribute iOS applications with modern Xcode workflows. Use when Codex needs to create or maintain an iPhone or iPad app, configure Xcode projects and schemes, add supported Xcode extensions or Swift Package plugins, automate CI/CD with xcodebuild, fastlane, or Xcode Cloud, prepare TestFlight or App Store releases, or troubleshoot provisioning, signing, archive, and upload failures.
iOS expert agent for RunSmart native app development. Handles SwiftUI architecture, HealthKit integration, App Store deployment, and monorepo coordination with the web app. Use when working on any iOS-related development, planning, or platform decisions.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | plan-adjuster |
| description | Recomputes upcoming workouts based on recent runs, feedback, and safety limits. |
| metadata | {"short-description":"Adaptive adjustment of future sessions with change logs and recovery tips."} |
Plan, Workout, TrainingHistory, and RecentRunTelemetry[].v0/lib/planAdaptationEngine.ts and v0/lib/plan-complexity-engine.ts before calling the model.Adjustment[], optional RecoveryRecommendation, and confidence.{
"profile": UserProfile,
"currentPlan": Plan,
"trainingHistory": TrainingHistory,
"feedback": { "rpeTrend"?: number, "soreness"?: string, "sleepQuality"?: string }
}
{
"appliedAt": string,
"updates": Adjustment[],
"recovery"?: RecoveryRecommendation,
"confidence": "low" | "medium" | "high",
"safetyFlags"?: SafetyFlag[]
}
v0/app/api/plan/adjust (to add), or chat-triggered adjustments.v0/lib/planAdjustmentService.ts, v0/lib/planAdaptationEngine.ts.v0/lib/email.ts.SafetyFlag on unsafe load proposals; clamp to deterministic caps.ai_skill_invoked and ai_adjustment_applied with adjustments_count, confidence, safety_flags.