Menü
检查 agent 是否已加载 bootstrap 文件
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
| name | load |
| description | 检查 agent 是否已加载 bootstrap 文件 |
| user-invocable | true |
检查 bootstrap 文件加载状态。
BOOTSTRAP-CHECK.md（如果存在）✅ /load 检查完成
**已知：**
- 用户：[名字]
- 我：[身份]
- 模型：[当前模型]
**状态：** [已加载 / 部分加载 / 需要读取]
Full-stack development workflow skill. Guides the complete cycle from understanding requirements to shipping code via PR with Preview validation. USE FOR: - Bug fixes, feature development, UI changes - "修复这个 bug", "帮我实现这个功能", "改一下这个页面" - "fix this", "implement", "build", "add feature", "change the UI" - Any code modification that needs Dev Server → PR → Preview → Merge flow REQUIRES: git, gh (GitHub CLI), pnpm/npm, agent-browser
Apple Silicon local ASR via Qwen3-ASR + MLX. Server-mode for stable memory. USE FOR: - "转文字", "转录", "transcribe this", "speech to text" - 任何音频/视频文件需要转文字时 - SRT/VTT 字幕生成 - 用户发音频/视频文件说"这个说的什么" - douyin-dl 下载后自动转文字 - Agent 需要处理语音内容时 ⚠️ ALWAYS use this skill for any audio/video transcription on Apple Silicon. Do NOT use whisper-transcribe (disabled). Apple Silicon only. No API key needed. No cloud dependency. Uses server-mode (model loaded once, ~4GB memory stable).
Convert Markdown to high-quality PNG/JPG images with zero whitespace, syntax highlighting (Shiki), and optional KaTeX math support. Uses Playwright (Chromium) for rendering with GitHub-style default theme. USE FOR: - Any request to render Markdown as an image - Code snippet screenshots with syntax highlighting - Markdown with math formulas (use --math flag) - Generating styled images for Discord/Telegram/Slack - "markdown转图片", "把这段md变成图片", "render markdown as image", "screenshot this code" - Converting README, changelogs, or docs to shareable images REQUIRES: md2img (npm global), playwright-core, chromium browser
Unified self-reflection and self-improvement. Three-layer memory: Golden Rules (SOUL.md) → Active Lessons (self-review.md) → Raw Log (daily). Auto-captures corrections, reflects at session end, promotes patterns that work. USE FOR: - User corrects agent behavior → auto-log and learn - Session end → "land the plane" reflection - Heartbeat timer → periodic self-check - "what have you learned", "show your lessons", "memory stats" - "remember this rule", "promote this pattern", "demote this" - Agent notices own mistake → self-log REPLACES: self-improving, self-reflection (merged into this skill) COMPANION: soul-keeper (independent — pushes lessons to workspace files) REQUIRES: jq, date
Transcribe audio/video to text using the best available ASR backend. Backend priority: MLX Qwen3-ASR (local, best for Chinese) → Groq API (fast, cloud) → whisper.cpp (local fallback) USE FOR: - "转文字", "转录", "transcribe this", "speech to text" - Any audio file (wav, mp3, m4a, flac, ogg, wma, aac) needs transcription - Video file needs transcription (extracts audio first via ffmpeg) - Douyin/video downloaded → auto transcribe - Need SRT/VTT subtitles from audio/video - "这个视频说的什么", "听一下这个音频" REPLACES: openai-whisper, openai-whisper-api, mlx-whisper, douyin-transcript (for ASR step) REQUIRES: ffmpeg OPTIONAL: mlx-qwen3-asr (pip), GROQ_API_KEY, whisper-cli (brew)
系统化研究 skill — 螺旋收敛模型。把任何问题（模糊或清晰）分解成子问题，迭代搜索，越搜越清晰，直到每个子问题都有答案。 Triggers: "帮我研究", "研究一下", "调研", "分析对比", "research", "investigate", "look up" 也触发: 竞品分析、市场调研、技术选型对比、趋势了解 Does NOT trigger: - 已经知道答案的简单事实问题 - 用户直接给了 URL 要抓取的 - 代码调试、写代码任务 Output: 结构化研究报告（结论 + 子问题答案 + 来源 + 争议点 + 未解决缺口）