# Send Garmer to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "garmer", "name": "Garmer", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/garrza/garmer", "canonicalUrl": "https://clawhub.ai/garrza/garmer", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/garmer", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=garmer", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "SKILL.md", "examples/basic_usage.py", "examples/moltbot_integration.py", "pyproject.toml", "references/REFERENCE.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "garmer", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-29T13:54:02.433Z", "expiresAt": "2026-05-06T13:54:02.433Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=garmer", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=garmer", "contentDisposition": "attachment; filename=\"garmer-1.0.2.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "garmer" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/garmer" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/garmer", "downloadUrl": "https://openagent3.xyz/downloads/garmer", "agentUrl": "https://openagent3.xyz/skills/garmer/agent", "manifestUrl": "https://openagent3.xyz/skills/garmer/agent.json", "briefUrl": "https://openagent3.xyz/skills/garmer/agent.md" } } ``` ## Documentation ### Garmer - Garmin Data Extraction Skill This skill enables extraction of health and fitness data from Garmin Connect for analysis and insights. ### Prerequisites A Garmin Connect account with health data The garmer CLI tool installed (see installation options in metadata) ### Authentication (One-Time Setup) Before using garmer, authenticate with Garmin Connect: garmer login This will prompt for your Garmin Connect email and password. Tokens are saved to ~/.garmer/garmin_tokens for future use. To check authentication status: garmer status ### Daily Summary Get today's health summary (steps, calories, heart rate, stress): garmer summary # For a specific date: garmer summary --date 2025-01-15 # Include last night's sleep data: garmer summary --with-sleep garmer summary -s # JSON output for programmatic use: garmer summary --json # Combine flags: garmer summary --date 2025-01-15 --with-sleep --json ### Sleep Data Get sleep analysis (duration, phases, score, HRV): garmer sleep # For a specific date: garmer sleep --date 2025-01-15 ### Activities List recent fitness activities: garmer activities # Limit number of results: garmer activities --limit 5 # Filter by specific date: garmer activities --date 2025-01-15 # JSON output for programmatic use: garmer activities --json ### Activity Detail Get detailed information for a single activity: # Latest activity: garmer activity # Specific activity by ID: garmer activity 12345678 # Include lap data: garmer activity --laps # Include heart rate zone data: garmer activity --zones # JSON output: garmer activity --json # Combine flags: garmer activity 12345678 --laps --zones --json ### Health Snapshot Get comprehensive health data for a day: garmer snapshot # For a specific date: garmer snapshot --date 2025-01-15 # As JSON for programmatic use: garmer snapshot --json ### Export Data Export multiple days of data to JSON: # Last 7 days (default) garmer export # Custom date range garmer export --start-date 2025-01-01 --end-date 2025-01-31 --output my_data.json # Last N days garmer export --days 14 ### Utility Commands # Update garmer to latest version (git pull): garmer update # Show version information: garmer version ### Python API Usage For more complex data processing, use the Python API: from garmer import GarminClient from datetime import date, timedelta # Use saved tokens client = GarminClient.from_saved_tokens() # Or login with credentials client = GarminClient.from_credentials(email="user@example.com", password="pass") ### User Profile # Get user profile profile = client.get_user_profile() print(f"User: {profile.display_name}") # Get registered devices devices = client.get_user_devices() ### Daily Summary # Get daily summary (defaults to today) summary = client.get_daily_summary() print(f"Steps: {summary.total_steps}") # Get for specific date summary = client.get_daily_summary(date(2025, 1, 15)) # Get weekly summary weekly = client.get_weekly_summary() ### Sleep Data # Get sleep data (defaults to today) sleep = client.get_sleep() print(f"Sleep: {sleep.total_sleep_hours:.1f} hours") # Get last night's sleep sleep = client.get_last_night_sleep() # Get sleep for date range sleep_data = client.get_sleep_range( start_date=date(2025, 1, 1), end_date=date(2025, 1, 7) ) ### Activities # Get recent activities activities = client.get_recent_activities(limit=5) for activity in activities: print(f"{activity.activity_name}: {activity.distance_km:.1f} km") # Get activities with filters activities = client.get_activities( start_date=date(2025, 1, 1), end_date=date(2025, 1, 31), activity_type="running", limit=20 ) # Get single activity by ID activity = client.get_activity(12345678) ### Heart Rate # Get heart rate data for a day hr = client.get_heart_rate() print(f"Resting HR: {hr.resting_heart_rate} bpm") # Get just resting heart rate resting_hr = client.get_resting_heart_rate(date(2025, 1, 15)) ### Stress & Body Battery # Get stress data stress = client.get_stress() print(f"Avg stress: {stress.avg_stress_level}") # Get body battery data battery = client.get_body_battery() ### Steps # Get detailed step data steps = client.get_steps() print(f"Total: {steps.total_steps}, Goal: {steps.step_goal}") # Get just total steps total = client.get_total_steps(date(2025, 1, 15)) ### Body Composition # Get latest weight weight = client.get_latest_weight() print(f"Weight: {weight.weight_kg} kg") # Get weight for specific date weight = client.get_weight(date(2025, 1, 15)) # Get full body composition body = client.get_body_composition() ### Hydration & Respiration # Get hydration data hydration = client.get_hydration() print(f"Intake: {hydration.total_intake_ml} ml") # Get respiration data resp = client.get_respiration() print(f"Avg breathing: {resp.avg_waking_respiration} breaths/min") ### Comprehensive Reports # Get health snapshot (all metrics for a day) snapshot = client.get_health_snapshot() # Returns: daily_summary, sleep, heart_rate, stress, steps, hydration, respiration # Get weekly health report with trends report = client.get_weekly_health_report() # Returns: activities summary, sleep stats, steps stats, HR trends, stress trends # Export data for date range data = client.export_data( start_date=date(2025, 1, 1), end_date=date(2025, 1, 31), include_activities=True, include_sleep=True, include_daily=True ) ### Health Check Query When a user asks "How did I sleep?" or "What's my health summary?": garmer snapshot --json ### Activity Analysis When a user asks about workouts or exercise: garmer activities --limit 10 ### Trend Analysis When analyzing health trends over time: garmer export --days 30 --output health_data.json Then process the JSON file with Python for analysis. ### Data Types Available Activities: Running, cycling, swimming, strength training, etc. Sleep: Duration, phases (deep, light, REM), score, HRV Heart Rate: Resting HR, samples, zones Stress: Stress levels, body battery Steps: Total steps, distance, floors Body Composition: Weight, body fat, muscle mass Hydration: Water intake tracking Respiration: Breathing rate data ### Error Handling If not authenticated: Not logged in. Use 'garmer login' first. If session expired, re-authenticate: garmer login ### Environment Variables GARMER_TOKEN_DIR: Custom directory for token storage GARMER_LOG_LEVEL: Set logging level (DEBUG, INFO, WARNING, ERROR) GARMER_CACHE_ENABLED: Enable/disable data caching (true/false) ### References For detailed API documentation and MoltBot integration examples, see references/REFERENCE.md. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: garrza - Version: 1.0.2 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-04-29T13:54:02.433Z - Expires at: 2026-05-06T13:54:02.433Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/garmer) - [Send to Agent page](https://openagent3.xyz/skills/garmer/agent) - [JSON manifest](https://openagent3.xyz/skills/garmer/agent.json) - [Markdown brief](https://openagent3.xyz/skills/garmer/agent.md) - [Download page](https://openagent3.xyz/downloads/garmer)