Menü
Use when deploying a Python tool from GitHub on macOS Apple Silicon.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Social media account setup guide for AI/developer platforms. Agent prepares all content (bio, avatar, posts) for user to copy-paste, since automation is blocked by Cloudflare/CAPTCHA/React shadow DOM. Supports X/Twitter, Medium, Dev.to, Reddit, LinkedIn.
Fix missing .dylib libraries when brew upgrades break Node.js browser tooling — create symlinks from old version numbers to new.
Auto-detect environment and record terminal/GUI demos for GitHub repos. Supports VHS, asciinema+agg, svg-term, and cua-driver modes. Single-command orchestration layer.
Use when releasing a new open-source project or skill pack on GitHub. Follows the proven exposure playbook from Hermes Core Skills release — covering README, community health, topics, social media, and verification. Ensures every release meets a minimum exposure bar so the project is discoverable, trustworthy, and ready for adoption.
Multi-angle GitHub project discovery using browser + GitHub API + trending, with practical clone/install/absorption workflow
Use when installing any new tool/package from GitHub, Brew, or Cask — includes post-install verification script, automated health check cron, and deliverable report so the user can independently confirm the tool is in active daily use.
| name | macos-deploy-python-tool-from-github |
| description | Use when deploying a Python tool from GitHub on macOS Apple Silicon. |
從 GitHub clone 一個 Python 開源項目，喺 macOS Apple Silicon 上完整部署並可使用。
git clone https://github.com/username/project.git ProjectName
cd ProjectName
python3 --version # 需要 Python 3.10+
pip3 --version
which git
ffmpeg -version | head -2 # 影片處理項目需要
睇 README 推薦方式，通常兩種：
# 方式 A: uv（推薦，macOS 已預裝）
uv sync --frozen
# 方式 B: pip
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
項目通常有 config.example.toml，複製一份：
cp config.example.toml config.toml
然後按 README 改 key 同 provider。
如果項目支援 Ollama 做 LLM provider：
# 確認 Ollama 已裝
ollama --version
# 確認有 model
ollama list
# config.toml 入面設定
# llm_provider = "ollama"
# ollama_base_url = "http://localhost:11434/v1" ← 注意要 /v1
# ollama_model_name = "qwen2.5:7b" ← 揀一個本地 model
uv run streamlit run ./webui/Main.py --browser.gatherUsageStats=False
或者直接：
cd ProjectName && uv run streamlit run ./webui/Main.py
Error: dyld: Library not loaded: /opt/homebrew/opt/x265/lib/libx265.215.dylib
原因：Homebrew 更新咗 x265 但 FFmpeg 冇同步更新。
Fix:
brew reinstall ffmpeg
驗證：ffmpeg -version 正常顯示就 OK。
Error: Failed to spawn: streamlit. Caused by: No such file or directory
原因：搬咗項目 folder 但 .venv 入面仲係硬編碼舊 path。
Fix（重建 venv）：
cd /new/project/path
rm -rf .venv
uv sync --frozen
Error: TomlDecodeError: Found invalid character in key name
原因：用 read_file 寫入時 embedded line number prefix。
Fix：用直接寫入方式，或者從 config.example.toml 重新複製再 patch。
cp config.example.toml config.toml
# 然後 patch 指定 key
頭一次啟動 Streamlit 會問 email，送個空 Enter 就得。
# 或者用 CLI flag skip:
--browser.gatherUsageStats=False
建立一個 .command 檔案：
cat > ~/Desktop/ProjectName.command << 'EOF'
#!/bin/bash
cd /path/to/ProjectName
uv run streamlit run ./webui/Main.py --browser.gatherUsageStats=False
EOF
chmod +x ~/Desktop/ProjectName.command
雙击就會開 Terminal 啟動。