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🛠️ 開発・MCP コミュニティ

karpathytalk-community

Run and interact with KarpathyTalk, an open markdown-based developer social network with GitHub auth, SQLite, and an LLM-friendly JSON/markdown API.

⚡ おすすめ: コマンド1行でインストール(60秒)

下記のコマンドをコピーしてターミナル(Mac/Linux)または PowerShell(Windows)に貼り付けてください。 ダウンロード → 解凍 → 配置まで全自動。

🍎 Mac / 🐧 Linux
mkdir -p ~/.claude/skills && cd ~/.claude/skills && curl -L -o karpathytalk-community.zip https://jpskill.com/download/22986.zip && unzip -o karpathytalk-community.zip && rm karpathytalk-community.zip
🪟 Windows (PowerShell)
$d = "$env:USERPROFILE\.claude\skills"; ni -Force -ItemType Directory $d | Out-Null; iwr https://jpskill.com/download/22986.zip -OutFile "$d\karpathytalk-community.zip"; Expand-Archive "$d\karpathytalk-community.zip" -DestinationPath $d -Force; ri "$d\karpathytalk-community.zip"

完了後、Claude Code を再起動 → 普通に「動画プロンプト作って」のように話しかけるだけで自動発動します。

💾 手動でダウンロードしたい(コマンドが難しい人向け)
  1. 1. 下の青いボタンを押して karpathytalk-community.zip をダウンロード
  2. 2. ZIPファイルをダブルクリックで解凍 → karpathytalk-community フォルダができる
  3. 3. そのフォルダを C:\Users\あなたの名前\.claude\skills\(Win)または ~/.claude/skills/(Mac)へ移動
  4. 4. Claude Code を再起動

⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。

🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

  1. 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
  2. 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
  3. 3. 展開してできたフォルダを、ホームフォルダの .claude/skills/ に置く
    • · macOS / Linux: ~/.claude/skills/
    • · Windows: %USERPROFILE%\.claude\skills\

Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。

詳しい使い方ガイドを見る →
最終更新
2026-05-18
取得日時
2026-05-18
同梱ファイル
1
📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

KarpathyTalk Community Skill

Skill by ara.so — Daily 2026 Skills collection.

KarpathyTalk is a Go-based developer social network (Twitter × GitHub Gists) where posts are plain markdown, the social layer supports likes/reposts/follows/replies, and all data is openly accessible via JSON and markdown APIs — designed for both humans and LLM agents.


What It Does

  • GitHub OAuth sign-in (no new credentials)
  • Posts are GFM markdown with syntax-highlighted code blocks and image uploads
  • Social features: likes, reposts, quote posts, replies, follows
  • REST API returns JSON (for agents/code) or markdown (for humans)
  • Single Go binary + SQLite + uploads/ directory — trivial to self-host
  • Built with: Go, SQLite, htmx, goldmark

Installation & Local Setup

1. Create a GitHub OAuth App

Go to GitHub → Settings → Developer settings → OAuth Apps → New OAuth App:

Field Value
Application name KarpathyTalk
Homepage URL http://localhost:8080
Authorization callback URL http://localhost:8080/auth/callback

Save the Client ID and Client Secret.

2. Clone & Build

git clone https://github.com/karpathy/KarpathyTalk.git
cd KarpathyTalk
go build -o karpathytalk ./cmd/karpathytalk

3. Configure Environment

export GITHUB_CLIENT_ID=$GITHUB_CLIENT_ID
export GITHUB_CLIENT_SECRET=$GITHUB_CLIENT_SECRET
export BASE_URL=http://localhost:8080   # optional, defaults to this

4. Run

./karpathytalk
# or with options:
./karpathytalk -addr :9090 -db ./data/karpathytalk.db

Visit http://localhost:8080.


CLI Flags

-addr string    HTTP listen address (default ":8080")
-db string      SQLite database path (default "karpathytalk.db")

Environment Variables

Variable Required Default Description
GITHUB_CLIENT_ID GitHub OAuth client ID
GITHUB_CLIENT_SECRET GitHub OAuth client secret
BASE_URL http://localhost:8080 Public URL of the deployed app

Deployment (Production)

Build & Copy

# Build binary
go build -o karpathytalk ./cmd/karpathytalk

# Copy to server (adjust user/host)
scp karpathytalk schema.sql user@yourserver:~/karpathytalk/
scp -r templates static user@yourserver:~/karpathytalk/

Run on Server

ssh user@yourserver
cd ~/karpathytalk
export GITHUB_CLIENT_ID=$GITHUB_CLIENT_ID
export GITHUB_CLIENT_SECRET=$GITHUB_CLIENT_SECRET
export BASE_URL=https://yourdomain.com
./karpathytalk -addr :8080

Caddy TLS (recommended)

yourdomain.com {
    reverse_proxy localhost:8080
}

nginx TLS

server {
    listen 443 ssl;
    server_name yourdomain.com;

    ssl_certificate     /etc/letsencrypt/live/yourdomain.com/fullchain.pem;
    ssl_certificate_key /etc/letsencrypt/live/yourdomain.com/privkey.pem;

    location / {
        proxy_pass http://localhost:8080;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }
}

systemd Service

[Unit]
Description=KarpathyTalk
After=network.target

[Service]
WorkingDirectory=/home/deploy/karpathytalk
ExecStart=/home/deploy/karpathytalk/karpathytalk -addr :8080
Restart=always
Environment=GITHUB_CLIENT_ID=$GITHUB_CLIENT_ID
Environment=GITHUB_CLIENT_SECRET=$GITHUB_CLIENT_SECRET
Environment=BASE_URL=https://yourdomain.com

[Install]
WantedBy=multi-user.target

API Usage

All data is open — no auth required for reads. The API returns JSON for programmatic access and markdown for human/agent reading.

Fetch Posts as JSON

# Timeline / recent posts
curl https://karpathytalk.com/api/posts

# Single post
curl https://karpathytalk.com/api/posts/{postID}

# User's posts
curl https://karpathytalk.com/api/users/{username}/posts

Fetch Posts as Markdown

# Human/agent-readable markdown
curl https://karpathytalk.com/api/posts/{postID}.md

Go Agent Example — Read Timeline

package main

import (
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

type Post struct {
    ID        int64  `json:"id"`
    Username  string `json:"username"`
    Content   string `json:"content"`
    Likes     int    `json:"likes"`
    Reposts   int    `json:"reposts"`
    CreatedAt string `json:"created_at"`
}

func fetchTimeline(baseURL string) ([]Post, error) {
    resp, err := http.Get(baseURL + "/api/posts")
    if err != nil {
        return nil, err
    }
    defer resp.Body.Close()

    body, err := io.ReadAll(resp.Body)
    if err != nil {
        return nil, err
    }

    var posts []Post
    if err := json.Unmarshal(body, &posts); err != nil {
        return nil, err
    }
    return posts, nil
}

func main() {
    posts, err := fetchTimeline("https://karpathytalk.com")
    if err != nil {
        panic(err)
    }
    for _, p := range posts {
        fmt.Printf("[%s] %s (👍 %d)\n", p.Username, p.Content[:min(80, len(p.Content))], p.Likes)
    }
}

func min(a, b int) int {
    if a < b {
        return a
    }
    return b
}

Go Agent Example — Fetch User Posts as Markdown

package main

import (
    "fmt"
    "io"
    "net/http"
)

func fetchUserPostsMarkdown(baseURL, username string) (string, error) {
    url := fmt.Sprintf("%s/api/users/%s/posts.md", baseURL, username)
    resp, err := http.Get(url)
    if err != nil {
        return "", err
    }
    defer resp.Body.Close()
    body, err := io.ReadAll(resp.Body)
    return string(body), err
}

func main() {
    md, err := fetchUserPostsMarkdown("https://karpathytalk.com", "karpathy")
    if err != nil {
        panic(err)
    }
    fmt.Println(md)
}

Content Limits

Content Type Max Length Rate Limit
Posts 10,000 characters 30 per hour
Replies 5,000 characters 60 per hour
Images 5 MB PNG/JPEG/GIF/WebP only

Database — Direct SQLite Access

The SQLite database is a single file. You can query it directly for analytics, backups, or migrations:

# Open database
sqlite3 karpathytalk.db

# List tables
.tables

# Recent posts
SELECT username, substr(content, 1, 80), created_at
FROM posts
ORDER BY created_at DESC
LIMIT 20;

# Most liked posts
SELECT username, likes, substr(content, 1, 60)
FROM posts
ORDER BY likes DESC
LIMIT 10;

# User follower counts
SELECT username, COUNT(*) as followers
FROM follows
GROUP BY username
ORDER BY followers DESC;

Backup

# Simple file copy (safe while running with WAL mode)
cp karpathytalk.db karpathytalk.db.backup

# Or use sqlite3 online backup
sqlite3 karpathytalk.db ".backup karpathytalk_backup.db"

Project Structure

KarpathyTalk/
├── cmd/
│   └── karpathytalk/      # main entrypoint
├── templates/             # HTML templates (htmx-powered)
├── static/                # CSS, JS assets
├── uploads/               # User image uploads
├── schema.sql             # SQLite schema
└── karpathytalk.db        # Database (created at runtime)

Common Patterns

Pattern: Agent That Monitors New Posts

package main

import (
    "encoding/json"
    "fmt"
    "net/http"
    "time"
)

type Post struct {
    ID        int64  `json:"id"`
    Username  string `json:"username"`
    Content   string `json:"content"`
    CreatedAt string `json:"created_at"`
}

func pollNewPosts(baseURL string, sinceID int64) ([]Post, error) {
    url := fmt.Sprintf("%s/api/posts?since_id=%d", baseURL, sinceID)
    resp, err := http.Get(url)
    if err != nil {
        return nil, err
    }
    defer resp.Body.Close()
    var posts []Post
    json.NewDecoder(resp.Body).Decode(&posts)
    return posts, nil
}

func main() {
    var lastSeenID int64 = 0
    for {
        posts, err := pollNewPosts("https://karpathytalk.com", lastSeenID)
        if err != nil {
            fmt.Println("Error:", err)
        } else {
            for _, p := range posts {
                fmt.Printf("New post by @%s: %s\n", p.Username, p.Content[:min(60, len(p.Content))])
                if p.ID > lastSeenID {
                    lastSeenID = p.ID
                }
            }
        }
        time.Sleep(30 * time.Second)
    }
}

func min(a, b int) int {
    if a < b { return a }
    return b
}

Pattern: Embedding KarpathyTalk Content in an LLM Prompt

package main

import (
    "fmt"
    "io"
    "net/http"
)

// Fetch markdown content to inject into an LLM system prompt or context window
func getContextForLLM(baseURL, username string) (string, error) {
    url := fmt.Sprintf("%s/api/users/%s/posts.md", baseURL, username)
    resp, err := http.Get(url)
    if err != nil {
        return "", err
    }
    defer resp.Body.Close()
    body, err := io.ReadAll(resp.Body)
    return string(body), err
}

func main() {
    context, _ := getContextForLLM("https://karpathytalk.com", "karpathy")
    systemPrompt := fmt.Sprintf(`You are a helpful assistant. Here are recent posts from the community:

%s

Answer questions about these posts.`, context)
    fmt.Println(systemPrompt)
}

Troubleshooting

Problem Cause Fix
GITHUB_CLIENT_ID not set Missing env var Export GITHUB_CLIENT_ID before running
OAuth callback fails Callback URL mismatch Ensure GitHub OAuth App callback URL exactly matches BASE_URL/auth/callback
Binary not found after build Wrong output path Run go build -o karpathytalk ./cmd/karpathytalk from repo root
templates: no such file Missing templates dir Run the binary from the repo root, or copy templates/ and static/ next to the binary
Database locked Concurrent writers SQLite WAL mode is set by default; avoid multiple binary instances against same .db
Images not serving Missing uploads/ dir The directory is created automatically on first upload; check write permissions
Port already in use Another process on 8080 Use -addr :9090 to change the port

Check the App is Running

curl -I http://localhost:8080/
# Expect: HTTP/1.1 200 OK

Rebuild After Code Changes

go build -o karpathytalk ./cmd/karpathytalk && ./karpathytalk

Run Tests

go test ./...