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Skills IA Données et IA

Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.

Catégories: Données et IA

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GitHub

readiness-check

nadavyigal

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

workout-explainer

nadavyigal

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

nadavyigal

Converts telemetry and user notes into a structured reflection, confidence score, and next-step guidance.

GitHub

plan-generator

nadavyigal

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

nadavyigal

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

route-builder

nadavyigal

Generates route specifications (distance, elevation, constraints) compatible with the app’s mapping layer.

GitHub

run-insights-recovery

nadavyigal

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

nadavyigal

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

nadavyigal

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

axe

Joehoel

iOS Simulator automation using AXe CLI - tap, swipe, type, screenshot, and accessibility inspection

GitHub

beads

Joehoel

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

asmith7013

Create D3 questions focused on written explanations and reflections of static content (text, images, diagrams). For video-based questions, use implement-video-question instead.

GitHub

implement-scm-features

asmith7013

Build features in the SCM (School Coaching Manager) section. Use for creating pages, hooks, and visualizations for podsie tracking, roadmaps, velocity, and assessment data.

GitHub

create-worked-example

asmith7013

Generate PPTX-compatible HTML slide decks for math worked examples. Use when user says "create worked example" or needs visual step-by-step math instruction with CFU questions and practice problems.

GitHub

implement-slider-question

asmith7013

Create D3 questions with interactive sliders and live visualization updates. Students adjust continuous values and observe dynamic feedback.

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.

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