adherence-coach

Identifies missed sessions or inconsistency and proposes plan reshuffles with motivational nudges.

16 stars

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

$curl -o ~/.claude/skills/adherence-coach/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/backend/adherence-coach/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/adherence-coach/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How adherence-coach Compares

Feature / Agentadherence-coachStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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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