v0.2.0

feat(coaching): add plan-progress-review skill and fix activity-first…

v 0.1.0

Resilio v0.1.0 - First public release

This is the first release of Resilio, an AI-powered adaptive running coach for multi-sport athletes, built for local use in Claude Code/Codex workflows.

Highlights

• Local-first coaching workflow with YAML/JSON persistence
• Strava authentication and smart activity sync (including incremental sync behavior)
• Athlete profile and goal management
• Daily and weekly coaching outputs (today, week, status)
• Training load and readiness metrics (CTL/ATL/TSB, ACWR, readiness)
• VDOT tools for pace calculation and race prediction
• Planning toolkit for macro and weekly plans, plus approval flows
• Guardrails and risk checks for safer progression and recovery
• Memory and activity search features to preserve athlete context
• Weather context support for weekly planning

Package details

• Package: resilio
• Version: 0.1.0
• Python: >=3.11,<4.0
• License: MIT

Notes

• This is an early foundational release; interfaces and workflows may evolve in upcoming versions.
• Current methodology depth is strongest for running, with multi-sport load awareness integrated.