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/weekly-coaching-patterns

Routine check: detects multi-session cardiac-drift trends across recent compiled activity notes. Runs weekly via its own routine; findings are routed through the proposal pipeline as Evidence Source: scheduled-check/weekly-coaching-patterns.

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hermitd
8288 skills12 agents

Claude Code

$ npx -y skills add gtapps/hermitd --skill weekly-coaching-patterns --agent claude-code

SKILL.md

weekly-coaching-patterns.SKILL.md
name: weekly-coaching-patterns
description: "Routine check: detects multi-session cardiac-drift trends across recent compiled activity notes. Runs weekly via its own routine; findings are routed through the proposal pipeline as Evidence Source: scheduled-check/weekly-coaching-patterns."
allowed-tools:
  - Bash(bun *fitness-lab.ts*)

Weekly Coaching Patterns

Routine skill: reads the last 4 `compiled/activity-*.md` artifacts for steady sessions and detects whether cardiac drift is trending upward over time. Returns a fixed findings block for `reflect --check-id weekly-coaching-patterns --check hermitd-fitness:weekly-coaching-patterns` to classify and route.

**Contract:** idempotent, read-only, no self-scheduling, short-running. Returns findings or silence — never creates proposals itself.

Steps

1. **Run the trend check.** Issue a single Bash call:

   bun ${CLAUDE_PLUGIN_ROOT}/scripts/fitness-lab.ts weekly-patterns

The script does the whole deterministic pass — filesystem only, no Strava token: globs `.hermit/compiled/activity-*.md`, keeps entries whose frontmatter has `type: activity-note` AND `session_kind: steady`, takes the 4 most recent by `created`, reads each note's **signed** drift from the `cardiac_drift_bpm` frontmatter field, falling back to the body's `Cardiac drift:` line for notes written before that field existed (neither present → excluded; a negative value compares as smaller than any positive — the sign is never stripped), and evaluates a strict oldest-to-newest monotonic rise across all 3 adjacent pairs. It emits:

   {"steady_sessions_found": <int>, "series": [{"file": "…", "date": "…", "drift": <signed int>}], "trend": "upward" | "none" | "insufficient_data"}

`series` is ordered oldest-to-newest. `trend: "upward"` means the 4-value bpm series is strictly increasing (the deliberately strict v1 bar, which avoids false positives from noisy week-to-week variation). `"none"` = 4 values but not monotonic; `"insufficient_data"` = fewer than 4 drift values (expected on interval/strength-heavy weeks, not an error).

**Anti-duplication guard:** emit a finding ONLY on `trend: "upward"` (the quantitative numeric rise). Do NOT emit on label recurrence alone.

2. **Output the findings block.** Always output a plain-text findings block to stdout, regardless of outcome. `reflect --check-id weekly-coaching-patterns --check hermitd-fitness:weekly-coaching-patterns` classifies the result from this block.

**`trend: "upward"`:**

   weekly-coaching-patterns findings — <YYYY-MM-DD>
   Coaching patterns: 1
   - Coaching pattern detected [cardiac-drift-high]: cardiac drift rising across 4 consecutive steady sessions (<V1>→<V2>→<V3>→<V4> bpm) — check pacing strategy and hydration; consider an easy recovery run next session

Replace `<V1>`…`<V4>` with the four `series[].drift` values in order (oldest-to-newest, each rendered with its sign, e.g. `+6`), and `<YYYY-MM-DD>` with today's date.

**`trend: "none"` or `"insufficient_data"`:**

   weekly-coaching-patterns findings — <YYYY-MM-DD>
   No actionable findings.

The `[cardiac-drift-high]` label reuses the seed vocabulary from `activity-deep-dive` step 7b — no new label is introduced.

Example

Four steady sessions, oldest-to-newest, with drift lines `+4`, `+7`, `+9`, `+13`:

weekly-coaching-patterns findings — 2026-05-31
Coaching patterns: 1
- Coaching pattern detected [cardiac-drift-high]: cardiac drift rising across 4 consecutive steady sessions (+4→+7→+9→+13 bpm) — check pacing strategy and hydration; consider an easy recovery run next session

The same four sessions with values `+4`, `+7`, `+6`, `+13` do **not** hold (the `+7→+6` pair falls), so the output is the `No actionable findings.` block. A series of `-3`, `+1`, `+5`, `+9` **does** hold (every pair rises; the leading negative compares as smallest).

Extend-if-useful (not in v1)

The following metrics follow the same steady-session pattern and would add items to the Coaching patterns list. NOT implemented in v1 — cardiac drift alone proves the mechanism end-to-end.

  • **Z2 pace/HR efficiency slope** — extract `Pace/HR efficiency: X.XX min·km⁻¹·bpm⁻¹` from each artifact; detect a strictly declining trend across the 4 steady sessions. Label: `efficiency-regression`.
  • **Recovery-score trend** — extract `Recovery: N/5` from each artifact (applies to both steady and interval sessions); detect a strictly hardening trend across the 4 sessions. Label: `recovery-insufficient`.

Notes

  • **This skill writes no artifact.** Findings are returned for `reflect --check-id weekly-coaching-patterns --check hermitd-fitness:weekly-coaching-patterns` to classify and route. Routine execution owns scheduling state.
  • **Registered by `/hermitd-fitness:hatch`** as the `hermitd-fitness:weekly-coaching-patterns` routine. Its schedule lives in `config.routines`.
  • **The `[cardiac-drift-high]` label has two upstream producers.** `activity-deep-dive` step 7b writes single-session observations (graduated to proposals via reflect's current-session path); this skill emits on a multi-session trend. Both flow into `proposal-triage`, which dedups — so a triage `DUPLICATE` verdict here is expected behavior, not a bug.
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Questions about weekly-coaching-patterns.

Which coding agents can use weekly-coaching-patterns?
weekly-coaching-patterns installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.