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albert-ying/longevity-os

太医院 — Agentic Longevity OS with 10 AI physicians. N-of-1 trials, cross-module pattern detection, PubMed-grounded insights, Bayesian causal inference. Works with Claude Code & OpenClaw.

Engineering

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

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`SKILL.md`

Week of Nov 2, 2026 · Line counts unavailable

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No earlier version was observed for comparison.

Compare on GitHub

View on GitHub Add to my skills

Verified commit d36a89f3cceaf7ca0139c2d4e7247da7edd052b5

25GitHub stars

0stars in 7 days

1skill in this repository

0commits in 30 days

Heat

0.4

Star growth, last 7 daysNot available
Star growth, last 24 hoursNot available
Rank movement, last 7 daysNot available
Commits, last 30 daysNot available
Accounts asking about it through MCP, last 7 daysNot available
Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

30-day change not yet available: not enough history.

Individual skills in this repository

longevity-os /

How it works

longevity-os

When your agent uses it

Longevity OS (太医院) — personal health tracking, N-of-1 trials, and longevity optimization. Triggers on /longevity, /taiyiyuan, health tracking, diet logging, exercise logging, supplement management, biomarker review, and self-experimentation keywords.

What it loads into context

Frontmatter

65 tokens

Always available to the agent

SKILL.md

5,258 tokens

When the skill is activated

Reference documents

34,436 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

System Paths
Database Initialization
Department Registry
Intent Classification
Agent Dispatch Protocol
Trial Proposal Flow
Response Format
Weekly Report Protocol
Behavioral Rules
Nutrition Lookup Protocol
SQL Patterns
Edge Cases
Integration with Dendron Vault
Quick Reference — Common Interactions

Scripts executed separately

dashboard/server.py
data/db.py
data/nutrition_api.py
docs/capture_screenshots.mjs
modeling/causal.py
modeling/engine.py
modeling/patterns.py
scripts/backup.py
scripts/export.py
scripts/generate_demo_data.py
scripts/import_apple_health.py
scripts/import_labs.py
scripts/migrate.py
scripts/setup.py

Files

.gitignoreasset356 bytes
README.mddoc25,677 bytes
README.zh.mddoc24,836 bytes
SKILL.mdcore20,971 bytes
SKILL.mdcore20,971 bytes
agents/baogao.mddoc9,985 bytes
agents/bencao.mddoc8,015 bytes
agents/daoyin.mddoc6,585 bytes
agents/shixiao.mddoc7,569 bytes
agents/shiyi.mddoc7,414 bytes
agents/yanfang.mddoc9,038 bytes
agents/yizheng.mddoc9,987 bytes
agents/yuanpan.mddoc10,549 bytes
agents/zhenmai.mddoc6,527 bytes
dashboard/dashboard.htmlasset77,907 bytes
dashboard/server.pyruns19,170 bytes
data/db.pyruns43,764 bytes
data/migrations/001_init.sqlasset12,721 bytes
data/nutrition_api.pyruns12,278 bytes
data/schema.sqlasset15,471 bytes
docs/agent-flow.mmdasset3,302 bytes
docs/agent-flow.svgasset34,086 bytes
docs/architecture.mmdasset5,291 bytes
docs/architecture.svgasset119,686 bytes
docs/capture_screenshots.mjsruns3,371 bytes
docs/characters/baogao.svgasset7,827 bytes
docs/characters/bencao.svgasset8,128 bytes
docs/characters/daoyin.svgasset7,076 bytes
docs/characters/shixiao.svgasset8,046 bytes
docs/characters/shiyi.svgasset6,716 bytes
docs/characters/yanfang.svgasset7,456 bytes
docs/characters/yizheng.svgasset6,584 bytes
docs/characters/yuanpan.svgasset7,284 bytes
docs/characters/yuyi.svgasset5,763 bytes
docs/characters/zhenmai.svgasset7,289 bytes
docs/demo-output/README.mddoc4,509 bytes
docs/demo-output/anomaly-detection.txtdoc1,257 bytes
docs/demo-output/causal-trial-analysis.txtdoc6,437 bytes
docs/demo-output/confounders-check.txtdoc2,735 bytes
docs/demo-output/cross-module-scan.txtdoc7,554 bytes
docs/demo-output/daily-digest.txtdoc1,883 bytes
docs/demo-output/db-query-demo.txtdoc5,490 bytes
docs/demo-output/exercise-summary.txtdoc1,317 bytes
docs/demo-output/nutrient-summary.txtdoc689 bytes
docs/demo-output/pattern-scan.txtdoc140,129 bytes
docs/demo-output/periodicity-detection.txtdoc45 bytes
docs/demo-output/power-analysis.txtdoc576 bytes
docs/demo-output/rolling-stats.txtdoc572 bytes
docs/demo-output/trend-analysis.txtdoc228 bytes
docs/demo-output/trial-candidates.txtdoc96,956 bytes
docs/demo-output/weekly-report.txtdoc5,708 bytes
docs/logo.pngasset3,875,340 bytes
docs/screenshots/dashboard-biomarkers.pngasset186,120 bytes
docs/screenshots/dashboard-exercise.pngasset287,823 bytes
docs/screenshots/dashboard-full.pngasset2,237,891 bytes
docs/screenshots/dashboard-hero.pngasset284,649 bytes
docs/screenshots/dashboard-insights.pngasset211,876 bytes
docs/screenshots/dashboard-metrics.pngasset242,226 bytes
docs/screenshots/dashboard-nutrition.pngasset150,714 bytes
docs/screenshots/dashboard-summary.pngasset214,355 bytes
docs/screenshots/dashboard-supplements.pngasset219,024 bytes
docs/screenshots/dashboard-trials.pngasset143,947 bytes
modeling/causal.pyruns41,638 bytes
modeling/engine.pyruns34,671 bytes
modeling/patterns.pyruns30,780 bytes
scripts/backup.pyruns13,017 bytes
scripts/export.pyruns9,471 bytes
scripts/generate_demo_data.pyruns62,637 bytes
scripts/import_apple_health.pyruns14,124 bytes
scripts/import_labs.pyruns25,672 bytes
scripts/migrate.pyruns8,248 bytes
scripts/setup.pyruns10,648 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

longevity-os

Repository facts

License: No license detected
Created: Mar 12, 2026
Last pushed: Mar 12, 2026
Forks: 4
Open issues: 0
Project activity: Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 5, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 3 notes

SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
docs/agent-flow.svg:1 Analysis incomplete: physical or joined line exceeds character limit
docs/architecture.svg:1 Analysis incomplete: physical or joined line exceeds character limit

No broad tool permissions
1 dangerous shell commandin 1 file: modeling/engine.py:279
63 network referencesin 19 files: data/nutrition_api.py:21 dashboard/dashboard.html:6 README.md:385 and 16 more
No hidden or obfuscated text
No instruction overrides
14 executable scriptsin 14 files: dashboard/server.py:1 data/db.py:1 data/nutrition_api.py:1 and 11 more
9 references to secretsin 3 files: data/nutrition_api.py:119 .gitignore:32 dashboard/server.py:26
No requests to vote in Hot

Show all 87 signals by file

`.gitignore`

Access to secretsline 32
```
[Credential-related source omitted]
```

`README.md`

Network accessline 385

# 1. Clone the repo git clone https://github.com/albert-ying/longevity-os.git

Network accessline 386

git clone https://github.com/albert-ying/longevity-os.git

Network accessline 402

The orchestrator (Imperial Physician) pattern maps directly to OpenClaw's [multi-agent routing](https://docs.openclaw.ai/concepts/multi-agent). A persistent orchestrator agent handles user chat and spawns sub-agents for parallel tasks (diet

Network accessline 418
```
# 3. Open http://localhost:8420
```

`README.zh.md`

Network accessline 378

# 1. 克隆仓库 git clone https://github.com/albert-ying/longevity-os.git

Network accessline 379

git clone https://github.com/albert-ying/longevity-os.git

Network accessline 395

御医（编排器）模式直接映射到 OpenClaw 的[多智能体路由](https://docs.openclaw.ai/concepts/multi-agent)：一个常驻编排智能体处理用户对话，按需派生子智能体并行执行任务。通过 WhatsApp、Telegram、Slack、Discord 或 iMessage 均可交互。

Network accessline 411
```
# 3. 打开 http://localhost:8420
```

`agents/daoyin.md`

Network accessline 43

| Row (any) | back | biceps | | Lunges | quadriceps | glutes | | Bicep curl | biceps | forearms |

Network accessline 44

| Lunges | quadriceps | glutes | | Bicep curl | biceps | forearms | | Tricep extension | triceps | - |

Network accessline 45
```
| Bicep curl | biceps | forearms |
```

`dashboard/dashboard.html`

Network accessline 6

<meta name="color-scheme" content="light only"> <title>Longevity OS</title> <link rel="preconnect" href="https://fonts.googleapis.com">

Network accessline 7

<title>Longevity OS</title> <link rel="preconnect" href="https://fonts.googleapis.com"> <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

Network accessline 8

<link rel="preconnect" href="https://fonts.googleapis.com">

Network accessline 9

<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

Network accessline 10

<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Noto+Serif+SC:wght@400;600;700;900&display=swap" rel="stylesheet">

Network accessline 11

<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.7/dist/chart.umd.min.js"

Network accessline 63

radial-gradient(ellipse at 20% 50%, rgba(218,165,32,0.02) 0%, transparent 60%),     radial-gradient(ellipse at 80% 20%, rgba(196,30,58,0.01) 0%, transparent 50%),     url("data:image/svg+xml,%3Csvg width='100' height='100' xmlns='http://www

Network accessline 64

radial-gradient(ellipse at 80% 20%, rgba(196,30,58,0.01) 0%, transparent 50%),     url("data:image/svg+xml,%3Csvg width='100' height='100' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequ

Network accessline 65

url("data:image/svg+xml,%3Csvg width='100' height='100' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.9' numOctaves='4' stitchTiles='stitch'/%3E%3C/filter%3E%3Crect width='100'

Network accessline 1115

var(--gold-dim) 22px     );   mask-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 20'%3E%3Cpath d='M0 10 Q12.5 0 25 10 T50 10 T75 10 T100 10 V20 H0Z' fill='black'/%3E%3C/svg%3E");

Network accessline 1116

);   mask-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 20'%3E%3Cpath d='M0 10 Q12.5 0 25 10 T50 10 T75 10 T100 10 V20 H0Z' fill='black'/%3E%3C/svg%3E");   mask-size: 100px 20px;

Network accessline 1117

mask-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 20'%3E%3Cpath d='M0 10 Q12.5 0 25 10 T50 10 T75 10 T100 10 V20 H0Z' fill='black'/%3E%3C/svg%3E");

Network accessline 1118

mask-size: 100px 20px;   mask-repeat: repeat-x;   -webkit-mask-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 20'%3E%3Cpath d='M0 10 Q12.5 0 25 10 T50 10 T75 10 T100 10 V20 H0Z' fill='black'/%3E%3C

Network accessline 1119

mask-repeat: repeat-x;   -webkit-mask-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 20'%3E%3Cpath d='M0 10 Q12.5 0 25 10 T50 10 T75 10 T100 10 V20 H0Z' fill='black'/%3E%3C/svg%3E");   -webkit-mask

Network accessline 1120

-webkit-mask-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 20'%3E%3Cpath d='M0 10 Q12.5 0 25 10 T50 10 T75 10 T100 10 V20 H0Z' fill='black'/%3E%3C/svg%3E");

Network accessline 1699

Object.entries(params).forEach(([k, v]) => { if (v != null) url.searchParams.set(k, v); });   try {     const res = await fetch(url);

Network accessline 1700

try {     const res = await fetch(url);     if (!res.ok) return null;

Network accessline 1701
```
const res = await fetch(url);
```

`dashboard/server.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```
Access to secretsline 26
```
[Credential-related source omitted]
```

Network accessline 531

server = HTTPServer(("127.0.0.1", args.port), TaiYiYuanHandler)     print(f"\n  太医院 Longevity OS — http://localhost:{args.port}\n")

Network accessline 532

print(f"\n  太医院 Longevity OS — http://localhost:{args.port}\n")

`data/db.py`

Executable scriptline 1
```
Executable file
```

`data/nutrition_api.py`

Executable scriptline 1
```
Executable file
```

Network accessline 21

# USDA FoodData Central nutrient ID → our schema field mapping # https://fdc.nal.usda.gov/api-guide.html

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# https://fdc.nal.usda.gov/api-guide.html

Access to secretsline 119
```
[Credential-related source omitted]
```
Network accessline 124
```
[Credential-related source omitted]
```
Access to secretsline 124
```
[Credential-related source omitted]
```
Network accessline 125
```
[Credential-related source omitted]
```
Access to secretsline 125
```
[Credential-related source omitted]
```

Network accessline 126

Get a free key at: https://fdc.nal.usda.gov/api-key-signup.html

Access to secretsline 129
```
[Credential-related source omitted]
```
Access to secretsline 130
```
[Credential-related source omitted]
```
Access to secretsline 132
```
[Credential-related source omitted]
```

Network accessline 222

Endpoint: https://api.nal.usda.gov/fdc/v1/foods/search

Access to secretsline 233
```
[Credential-related source omitted]
```

Network accessline 236

"pageSize": 5,         })         url = f"https://api.nal.usda.gov/fdc/v1/foods/search?{params}"

Network accessline 238

url = f"https://api.nal.usda.gov/fdc/v1/foods/search?{params}"

Network accessline 240

try:             req = urllib.request.Request(url)

Network accessline 241
```
req = urllib.request.Request(url)
```

Network accessline 242

req.add_header("User-Agent", "TaiYiYuan/1.0")             with urllib.request.urlopen(req, timeout=REQUEST_TIMEOUT) as resp:                 data = json.loads(resp.read().decode("utf-8"))

Network accessline 243

with urllib.request.urlopen(req, timeout=REQUEST_TIMEOUT) as resp:

Network accessline 278

Endpoint: https://world.openfoodfacts.org/cgi/search.pl

Network accessline 294

"fields": "product_name,nutriments",         })         url = f"https://world.openfoodfacts.org/cgi/search.pl?{params}"

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url = f"https://world.openfoodfacts.org/cgi/search.pl?{params}"

Network accessline 298

try:             req = urllib.request.Request(url)

Network accessline 299
```
req = urllib.request.Request(url)
```

Network accessline 300

req.add_header("User-Agent", "TaiYiYuan/1.0 (personal health tracker)")             with urllib.request.urlopen(req, timeout=REQUEST_TIMEOUT) as resp:                 data = json.loads(resp.read().decode("utf-8"))

Network accessline 301

with urllib.request.urlopen(req, timeout=REQUEST_TIMEOUT) as resp:

`docs/agent-flow.svg`

Network accessline 1

<svg id="my-svg" width="100%" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="flowchart" style="max-width: 2307.92px; background-color: white;" viewBox="0 0 2307.921875 518.46875" role="graphics-document

`docs/architecture.svg`

Network accessline 1

<svg id="my-svg" width="100%" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" class="flowchart" style="max-width: 2637.24px; background-color: white;" viewBox="0 0 2637.24072265625 1874.7166748046875" role="gra

`docs/capture_screenshots.mjs`

Executable scriptline 1
```
#!/usr/bin/env node
```
Network accessline 15
```
const URL = 'http://localhost:8420';
```

`docs/characters/baogao.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/bencao.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/daoyin.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/shixiao.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/shiyi.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/yanfang.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/yizheng.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/yuanpan.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/yuyi.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`docs/characters/zhenmai.svg`

Network accessline 1

<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 200 200" width="200" height="200">

`modeling/causal.py`

Executable scriptline 1
```
Executable file
```

`modeling/engine.py`

Executable scriptline 1
```
Executable file
```
Dangerous shell operationline 279
```
rm = rolling_mean.get(dt)
```

`modeling/patterns.py`

Executable scriptline 1
```
Executable file
```

`scripts/backup.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/export.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/generate_demo_data.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/import_apple_health.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/import_labs.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/migrate.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`scripts/setup.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 2 facts

Contacts api.nal.usda.gov, which SKILL.md, the README and the plugin manifest do not mentiondata/nutrition_api.py:238High confidence
Contacts world.openfoodfacts.org, which SKILL.md, the README and the plugin manifest do not mentiondata/nutrition_api.py:296High confidence

Signal confidence: 56 facts

Network access in code of documentationREADME.md:385Low confidence
Network access in code of documentationREADME.md:386Low confidence
Network access in prose of documentationREADME.md:402Low confidence
Network access in code of documentationREADME.md:418Low confidence
Network access in code of documentationREADME.zh.md:378Low confidence
Network access in code of documentationREADME.zh.md:379Low confidence
Network access in prose of documentationREADME.zh.md:395Low confidence
Network access in code of documentationREADME.zh.md:411Low confidence
Network access in prose of documentationagents/daoyin.md:43Low confidence
Network access in prose of documentationagents/daoyin.md:44Low confidence
Network access in prose of documentationagents/daoyin.md:45Low confidence
Executable script in code of a file that runsdashboard/server.py:1High confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuedashboard/server.py:26Low confidence
Network access in code of a file that runsdashboard/server.py:531High confidence
Network access in code of a file that runsdashboard/server.py:532High confidence
Executable script in prose of a file that runsdata/db.py:1Low confidence
Executable script in prose of a file that runsdata/nutrition_api.py:1Low confidence
Network access in a comment of a file that runsdata/nutrition_api.py:21Low confidence
Network access in a comment of a file that runsdata/nutrition_api.py:22Low confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuedata/nutrition_api.py:119Low confidence
Network access in prose of a file that runsdata/nutrition_api.py:124Low confidence
Access to secrets in prose of a file that runsdata/nutrition_api.py:124Low confidence
Network access in prose of a file that runsdata/nutrition_api.py:125Low confidence
Access to secrets in prose of a file that runsdata/nutrition_api.py:125Low confidence
Network access in prose of a file that runsdata/nutrition_api.py:126Low confidence
Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valuedata/nutrition_api.py:129Low confidence
Access to secrets in code of a file that runsdata/nutrition_api.py:130High confidence
Access to secrets in code of a file that runsdata/nutrition_api.py:132High confidence
Network access in prose of a file that runsdata/nutrition_api.py:222Low confidence
Access to secrets in code of a file that runsdata/nutrition_api.py:233High confidence
Network access in code of a file that runsdata/nutrition_api.py:236High confidence
Network access in code of a file that runsdata/nutrition_api.py:238High confidence
Network access in code of a file that runsdata/nutrition_api.py:240High confidence
Network access in code of a file that runsdata/nutrition_api.py:241High confidence
Network access in code of a file that runsdata/nutrition_api.py:242High confidence
Network access in code of a file that runsdata/nutrition_api.py:243High confidence
Network access in prose of a file that runsdata/nutrition_api.py:278Low confidence
Network access in code of a file that runsdata/nutrition_api.py:294High confidence
Network access in code of a file that runsdata/nutrition_api.py:296High confidence
Network access in code of a file that runsdata/nutrition_api.py:298High confidence
Network access in code of a file that runsdata/nutrition_api.py:299High confidence
Network access in code of a file that runsdata/nutrition_api.py:300High confidence
Network access in code of a file that runsdata/nutrition_api.py:301High confidence
Executable script in code of a file that runsdocs/capture_screenshots.mjs:1High confidence
Network access in code of a file that runsdocs/capture_screenshots.mjs:15High confidence
Executable script in prose of a file that runsmodeling/causal.py:1Low confidence
Executable script in prose of a file that runsmodeling/engine.py:1Low confidence
Dangerous shell operation in code of a file that runsmodeling/engine.py:279High confidence
Executable script in prose of a file that runsmodeling/patterns.py:1Low confidence
Executable script in code of a file that runsscripts/backup.py:1High confidence

and 6 more

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

albert-ying/longevity-os

History

SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

longevity-os

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

.gitignore

README.md

README.zh.md

agents/daoyin.md

dashboard/dashboard.html

dashboard/server.py

data/db.py

data/nutrition_api.py

docs/agent-flow.svg

docs/architecture.svg

docs/capture_screenshots.mjs

docs/characters/baogao.svg

docs/characters/bencao.svg

docs/characters/daoyin.svg

docs/characters/shixiao.svg

docs/characters/shiyi.svg

docs/characters/yanfang.svg

docs/characters/yizheng.svg

docs/characters/yuanpan.svg

docs/characters/yuyi.svg

docs/characters/zhenmai.svg

modeling/causal.py

modeling/engine.py

modeling/patterns.py

scripts/backup.py

scripts/export.py

scripts/generate_demo_data.py

scripts/import_apple_health.py

scripts/import_labs.py

scripts/migrate.py

scripts/setup.py

How the signals fit together

Works with

You might also use

Xiaoher-C/agentbnb

wshobson/agents

paperclipai/paperclip

davila7/claude-code-templates

amplifthq/openmeld

first-fluke/oh-my-agent

`SKILL.md`

`.gitignore`

`README.md`

`README.zh.md`

`agents/daoyin.md`

`dashboard/dashboard.html`

`dashboard/server.py`

`data/db.py`

`data/nutrition_api.py`

`docs/agent-flow.svg`

`docs/architecture.svg`

`docs/capture_screenshots.mjs`

`docs/characters/baogao.svg`

`docs/characters/bencao.svg`

`docs/characters/daoyin.svg`

`docs/characters/shixiao.svg`

`docs/characters/shiyi.svg`

`docs/characters/yanfang.svg`

`docs/characters/yizheng.svg`

`docs/characters/yuanpan.svg`

`docs/characters/yuyi.svg`

`docs/characters/zhenmai.svg`

`modeling/causal.py`

`modeling/engine.py`

`modeling/patterns.py`

`scripts/backup.py`

`scripts/export.py`

`scripts/generate_demo_data.py`

`scripts/import_apple_health.py`

`scripts/import_labs.py`

`scripts/migrate.py`

`scripts/setup.py`