adherence-coach
Identifies missed sessions or inconsistency and proposes plan reshuffles with motivational nudges.
Best use case
adherence-coach is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Identifies missed sessions or inconsistency and proposes plan reshuffles with motivational nudges.
Teams using adherence-coach should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/adherence-coach/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How adherence-coach Compares
| Feature / Agent | adherence-coach | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Identifies missed sessions or inconsistency and proposes plan reshuffles with motivational nudges.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## When Codex should use it - Weekly digest (e.g., Sunday) or when multiple sessions are skipped. - When the user asks for help getting back on track. ## Invocation guidance 1. Provide `Plan`, completed vs. missed workouts, and user preferences (available days, constraints). 2. Output reshuffle suggestions, prioritized focus areas, and motivational `CoachMessage`. 3. Keep volume conservative after lapses; bias toward habit re-entry. ## Input schema See `references/input-schema.json`. ## Output schema See `references/output-schema.json`. ## Integration points - UI: Weekly digest card; chat prompt suggestions. - API: `v0/app/api/plan/adherence`. - Notifications: Email/push via `v0/lib/email.ts`. ## Safety & guardrails - If repeated missed sessions due to pain → suggest rest and professional consult, not catch-up volume. - Limit catch-up to 1 session per week; avoid stacking intensity. - Emit `SafetyFlag` for risky catch-up proposals. ## Telemetry - Emit `ai_skill_invoked`, `ai_adjustment_applied` (if reshuffle applied), and `ai_user_feedback` on user rating.
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