GitHub
load-anomaly-guard
Detects unsafe spikes in training load and emits SafetyFlags with conservative adjustments.
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GitHub
plan-adjuster
Recomputes upcoming workouts based on recent runs, feedback, and safety limits.
GitHub
readiness-check
Classifies pre-run readiness (proceed/modify/skip) using recent load, recovery, and self-reported signals.
GitHub
load-anomaly-guard
Detects unsafe training load spikes (>20-30% week-over-week) and emits safety flags. Use in nightly background jobs or when reviewing weekly training volume with conservative adjustment recommendations.
GitHub
codex-skills-index
Entry point for Codex-discoverable skills used by the Run-Smart AI coach.
GitHub
route-builder
Generates route specifications with distance and elevation constraints. Use when user asks for route suggestions, wants to explore new running paths, or needs safer surface recommendations for upcoming workouts...
GitHub
plan-adjuster
Recomputes upcoming workouts based on recent runs and user feedback. Use when recent performance deviates from plan, user provides negative feedback, or recovery signals indicate adjustment needed with determin...
GitHub
readiness-check
Pre-run safety gate that evaluates readiness and recommends proceed/modify/skip decisions. Use before scheduled workouts to assess recovery status, injury signals, and training load based on sleep, soreness, an...
GitHub
race-strategy-builder
Generates pacing and fueling strategies for target races based on current fitness and course constraints.
GitHub
workout-explainer
Translates planned workouts into execution cues, purpose explanations, and common mistakes to avoid. Use before workouts when user asks "what should I do?" or "how do I run this session?" with beginner-friendly...
GitHub
post-run-debrief
Converts telemetry and user notes into a structured reflection, confidence score, and next-step guidance.
GitHub
workout-explainer
Translates planned workouts into clear execution cues, purpose, mistakes to avoid, and substitutions.
GitHub
conversational-goal-discovery
Guides users through clarifying goals, constraints, and weekly commitments via chat.
GitHub
plan-generator
Generates 14–21 day personalized running training plans with safe load progression. Use when user completes onboarding, requests a new plan, updates their running goals, or wants to export a training calendar.
GitHub
race-strategy-builder
Generates race-day pacing and fueling strategies with contingency plans. Use when user has an upcoming race, asks for race preparation advice, or wants a printable race-day plan with segment pacing and fueling...
GitHub
plan-generator
Generates 14–21 day running plans tailored to onboarding data and recent performance.
GitHub
route-builder
Generates route specifications (distance, elevation, constraints) compatible with the app’s mapping layer.
GitHub
run-insights-recovery
Analyzes completed runs to provide effort assessment, recovery recommendations, and next-session guidance. Use immediately after user saves a run, asks "how did I do?", or requests recovery advice.
GitHub
running-coach-index
Reference catalog for all running coach AI skills, shared TypeScript contracts, safety guardrails, and telemetry conventions. Use when working with any running coach feature to understand data schemas, safety p...
GitHub
adherence-coach
Identifies missed training sessions and proposes plan reshuffles with motivational support. Use for weekly check-ins, when multiple sessions are skipped, or when user asks for help getting back on track.
GitHub
adherence-coach
Identifies missed sessions or inconsistency and proposes plan reshuffles with motivational nudges.
GitHub
axe
iOS Simulator automation using AXe CLI - tap, swipe, type, screenshot, and accessibility inspection
GitHub
beads
Git-backed issue tracker for multi-session work with dependencies and persistent memory across conversation compaction. Use when work spans sessions, has blockers, or needs context recovery after compaction.
GitHub
implement-text-response-question
Create D3 questions focused on written explanations and reflections of static content (text, images, diagrams). For video-based questions, use implement-video-question instead.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.