whoop-cli
Companion skill for @andreasnlarsen/whoop-cli: agent-friendly WHOOP access via stable CLI JSON (day briefs, health flags, trends, exports) without raw API plumbing.
Best use case
whoop-cli is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Companion skill for @andreasnlarsen/whoop-cli: agent-friendly WHOOP access via stable CLI JSON (day briefs, health flags, trends, exports) without raw API plumbing.
Teams using whoop-cli 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/whoop-cli/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How whoop-cli Compares
| Feature / Agent | whoop-cli | 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?
Companion skill for @andreasnlarsen/whoop-cli: agent-friendly WHOOP access via stable CLI JSON (day briefs, health flags, trends, exports) without raw API plumbing.
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.
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SKILL.md Source
# whoop-cli Use the installed `whoop` command. ## Security + credential handling (required) - Never ask users to paste client secrets/tokens into chat. - For first-time auth, the user should run login **locally on their own shell**. - Prefer read-only operational commands in agent flows (`summary`, `day-brief`, `health`, `trend`, `sync pull`). - Do not run `whoop auth login` unless the user explicitly asks for login help. - Tokens are stored locally at `~/.whoop-cli/profiles/<profile>.json` by the CLI. ## Install / bootstrap If `whoop` is missing: ```bash npm install -g @andreasnlarsen/whoop-cli@0.3.1 ``` Optional OpenClaw skill install from package bundle: ```bash whoop openclaw install-skill --force ``` ## Core checks 1. `whoop auth status --json` 2. If unauthenticated, ask the user to run local login: - `whoop auth login --client-id ... --client-secret ... --redirect-uri ...` 3. Validate: - `whoop day-brief --json --pretty` ## Useful commands - Daily: - `whoop summary --json --pretty` - `whoop day-brief --json --pretty` - `whoop strain-plan --json --pretty` - `whoop health flags --days 7 --json --pretty` - Activity analysis: - `whoop activity list --days 30 --json --pretty` - `whoop activity trend --days 30 --json --pretty` - `whoop activity types --days 30 --json --pretty` - training-only: `whoop activity trend --days 30 --labeled-only --json --pretty` ### Activity interpretation guardrail (important) - WHOOP generic `activity` rows (often `sport_id=-1`) are auto-detected and may be unlabeled movement (housework/incidental activity), not intentional training. - Do not treat generic `activity` as confirmed training volume by default. - For coaching/training recommendations, default to `--labeled-only` and report both total vs filtered counts. ### Agent filtering pattern (jq-friendly) - Canonical source: `whoop activity list --json` - Prefer built-in filters first (`--labeled-only`, `--generic-only`, `--sport-id`, `--sport-name`). - If custom slicing is needed and `jq` is available, filter shell-side from raw JSON (example): ```bash whoop activity list --days 30 --json | jq '.data.records | map(select(.sport_id != -1))' ``` - Export: - `whoop sync pull --start YYYY-MM-DD --end YYYY-MM-DD --out ./whoop.jsonl --json --pretty` ## Experiment protocol (agent-required) - Canonical state: `~/.whoop-cli/experiments.json` only. - Plan experiments with context at creation time: - `whoop experiment plan --name ... --behavior ... --start-date YYYY-MM-DD [--end-date YYYY-MM-DD] --description ... --why ... --hypothesis ... --success-criteria ... --protocol ... --json --pretty` - Update context without creating duplicate state: - `whoop experiment context --id ... [--description ... --why ... --hypothesis ... --success-criteria ... --protocol ...] --json --pretty` - Check lifecycle/status with: - `whoop experiment status [--status planned|running|completed] [--id ...] --json --pretty` - Evaluate outcomes with: - `whoop experiment report --id ... --json --pretty` - Profile scope is strict by default (active `--profile` only). - Use `--all-profiles` only when cross-profile visibility is explicitly needed. - Prefer output field `sourceOfTruth` (path to canonical state file); `experimentsFile` is kept as compatibility alias. - Avoid duplicating experiment state into other files unless the user explicitly asks for separate notes. ## Safety - Never print client secrets or raw tokens. - Keep API errors concise and actionable. - Treat this integration as unofficial/non-affiliated.
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