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full-stack-bootstrap全栈引导程序

Agent Skill

full-stack-bootstrap 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,639

周安装

69

GitHub Stars

38

下载量

574
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:full-stack-bootstrap(全栈引导程序)
来源仓库:https://github.com/terrylica/cc-skills
仓库路径:skills/full-stack-bootstrap
安装命令:
npx skills add https://github.com/terrylica/cc-skills --skill full-stack-bootstrap
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/terrylica/cc-skills --skill full-stack-bootstrap

简介

full-stack-bootstrap 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景进行信息筛选的场景。
  • 通过安装命令从指定仓库添加技能,可结合原始 README 核验用法。
  • 安装前建议确认权限范围和维护状态,避免触发不必要的数据访问。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Full Stack Bootstrap

One-time bootstrap of the entire TTS + Telegram bot stack: Kokoro TTS engine (MLX-Audio on Apple Silicon), Telegram bot via BotFather, secrets management, environment configuration, and shell symlinks.

Platform: macOS (Apple Silicon)
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

When to Use This Skill

  • First-time setup of the tts-tg-sync plugin
  • Reinstalling after a clean OS install or hardware migration
  • Setting up a new machine with the full TTS + Telegram stack
  • Recovering from a broken installation (run kokoro-install.sh --uninstall first)

Requirements

ComponentRequiredInstallation
BunYesbrew install oven-sh/bun/bun
miseYesbrew install mise
uvYesbrew install uv
Python 3.13Yesuv python install 3.13
HomebrewYesAlready installed on macOS dev machines
Apple Silicon (M1+)YesRequired for MLX Metal acceleration

Workflow Phases

Phase 0: Preflight Check

Verify all prerequisites are installed and accessible:

command -v bun    # Bun runtime for TypeScript bot
command -v mise   # Environment manager
command -v uv     # Python package manager
uv python list | grep 3.13  # Python 3.13 available

If any tool is missing, install via Homebrew (brew install <tool>). Python 3.13 is installed via uv python install 3.13.

Phase 1: Kokoro TTS Engine Install

Run the bundled installer script:

bash scripts/kokoro-install.sh --install

This performs:

  1. Requires Apple Silicon (fails fast on Intel/Linux)
  2. Creates venv at ~/.local/share/kokoro/.venv with Python 3.13 via uv
  3. Installs PyPI deps (mlx-audio, soundfile, numpy)
  4. Copies kokoro_common.py and tts_generate.py from plugin bundle to ~/.local/share/kokoro/
  5. Downloads Kokoro-82M-bf16 MLX model from HuggingFace (mlx-community/Kokoro-82M-bf16)
  6. Writes version.json with mlx_audio version, backend, and model ID

Phase 2: BotFather Token Setup

Guide the user through Telegram BotFather to create a bot token:

  1. Open Telegram, search for @BotFather
  2. Send /newbot, follow prompts (name + username)
  3. Copy the HTTP API token
  4. Verify token: curl -s "https://api.telegram.org/bot<TOKEN>/getMe" | jq.ok
  5. Get chat_id by sending a message to the bot, then: curl -s "https://api.telegram.org/bot<TOKEN>/getUpdates" | jq '.result[0].message.chat.id'

If a token already exists at ~/.claude/.secrets/ccterrybot-telegram, verify it works and skip this phase.

Phase 3: Secrets Storage

Store the bot token securely:

mkdir -p ~/.claude/.secrets
chmod 700 ~/.claude/.secrets
echo "BOT_TOKEN=<token>" > ~/.claude/.secrets/ccterrybot-telegram
echo "CHAT_ID=<chat_id>" >> ~/.claude/.secrets/ccterrybot-telegram
chmod 600 ~/.claude/.secrets/ccterrybot-telegram

Create .mise.local.toml (gitignored) in the bot directory to load secrets:

# ~/.claude/automation/claude-telegram-sync/.mise.local.toml
[env]
_.file = "{{env.HOME}}/.claude/.secrets/ccterrybot-telegram"

Phase 4: Environment Configuration

Add Kokoro paths to mise.toml:

# In ~/.claude/automation/claude-telegram-sync/mise.toml [env] section
KOKORO_VENV = "{{env.HOME}}/.local/share/kokoro/.venv"
KOKORO_SCRIPT = "{{env.HOME}}/.local/share/kokoro/tts_generate.py"

Phase 5: Shell Symlinks

Create symlinks in ~/.local/bin/ pointing to plugin shell scripts:

mkdir -p ~/.local/bin
ln -sf <plugin>/scripts/tts_kokoro.sh ~/.local/bin/tts_kokoro.sh
ln -sf <plugin>/scripts/tts_read_clipboard.sh ~/.local/bin/tts_read_clipboard.sh
ln -sf <plugin>/scripts/tts_read_clipboard_wrapper.sh ~/.local/bin/tts_read_clipboard_wrapper.sh
ln -sf <plugin>/scripts/tts_speed_up.sh ~/.local/bin/tts_speed_up.sh
ln -sf <plugin>/scripts/tts_speed_down.sh ~/.local/bin/tts_speed_down.sh
ln -sf <plugin>/scripts/tts_speed_reset.sh ~/.local/bin/tts_speed_reset.sh

Phase 6: Verification

  1. Generate a test WAV and play it:
~/.local/share/kokoro/.venv/bin/python ~/.local/share/kokoro/tts_generate.py \
    --text "Hello, bootstrap complete." --voice af_heart --lang en-us --speed 1.0 --output /tmp/test-bootstrap.wav
afplay /tmp/test-bootstrap.wav
rm -f /tmp/test-bootstrap.wav
  1. Verify bot responds to /status via Telegram API:
curl -s "https://api.telegram.org/bot${BOT_TOKEN}/getMe" | jq .ok

TodoWrite Task Templates

Template: Full Stack Bootstrap

1. [Preflight] Verify Bun installed
2. [Preflight] Verify mise installed
3. [Preflight] Verify uv installed
4. [Preflight] Verify Python 3.13 available via uv
5. [Kokoro] Run kokoro-install.sh --install
6. [Kokoro] Verify MLX-Audio acceleration
7. [BotFather] Guide BotFather token creation (or verify existing)
8. [Secrets] Store token in ~/.claude/.secrets/ccterrybot-telegram
9. [Secrets] Create .mise.local.toml with _.file reference to secrets
10. [Environment] Add KOKORO_VENV and KOKORO_SCRIPT to mise.toml
11. [Symlinks] Create ~/.local/bin/ symlinks for all TTS shell scripts
12. [Verify] Generate test WAV with Kokoro and play with afplay
13. [Verify] Check bot responds to /status via Telegram API

Post-Change Checklist

After modifying this skill:

  1. Verify kokoro-install.sh --health passes all 6 checks
  2. Confirm .mise.local.toml is gitignored
  3. Test symlinks resolve correctly (ls -la ~/.local/bin/tts_*.sh)
  4. Verify bot token works via getMe API call
  5. Run a full TTS round-trip: clipboard text to audio playback
  6. Update references/evolution-log.md with change description

Troubleshooting

IssueCauseSolution
uv not foundNot installedbrew install uv
Python 3.13 not availableNot installed via uvuv python install 3.13
Not Apple SiliconIntel Mac or LinuxRequires M1 or newer Mac (MLX Metal)
Model download failsNetwork issue or HuggingFace outageCheck internet connectivity, retry
BotFather token invalidTypo or revoked tokenVerify via curl https://api.telegram.org/bot<TOKEN>/getMe
kokoro-install.sh permission deniedScript not executablechmod +x scripts/kokoro-install.sh
Venv already existsPrevious partial installRun kokoro-install.sh --uninstall then --install
tts_generate.py not foundBundle copy failedCheck scripts/tts_generate.py exists in plugin

Reference Documentation

Post-Execution Reflection

After this skill completes, reflect before closing the task:

  1. Locate yourself. — Find this SKILL.md's canonical path (Glob for this skill's name) before editing. All corrections target THIS file and its sibling references/ — never other documentation.
  2. What failed? — Fix the instruction that caused it. If it could recur, add it as an anti-pattern.
  3. What worked better than expected? — Promote it to recommended practice. Document why.
  4. What drifted? — Any script, reference, or external dependency that no longer matches reality gets fixed now.
  5. Log it. — Every change gets an evolution-log entry with trigger, fix, and evidence.

Do NOT defer. The next invocation inherits whatever you leave behind.



适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.38%
按下载量换算197

Claude

31.16%
按下载量换算179

Cursor

18.93%
按下载量换算109

Gemini CLI

8.7%
按下载量换算50

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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