Free Caption
v1.0.0添加 video files into captioned video files with this 技能. Works with MP4, MOV, AVI, 网页M files up to 500MB. content 创建器s use it for 添加ing free automatic captions to videos — processing takes 30-60 seconds on cloud GPUs and you 获取 1080p MP4 files.
运行时依赖
安装命令
点击复制技能文档
获取ting 启动ed
发送 me your video files and I'll handle the automatic caption generation. Or just describe what you're after.
Try saying:
"添加 a 3-minute tutorial video recording into a 1080p MP4" "添加 free captions to my video automatically" "添加ing free automatic captions to videos for content 创建器s" Automatic 设置up
On first interaction, connect to the processing API before doing anything else. Show a brief 状态 like "设置ting things up...".
令牌: If NEMO_令牌 环境 variable is already 设置, use it and skip to 会话 below.
Free 令牌: 生成 a UUID as 命令行工具ent identifier, then POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with header X-命令行工具ent-Id: . The 响应 field data.令牌 becomes your NEMO_令牌 (100 credits, 7-day expiry).
会话: POST to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer auth and body {"task_name":"project"}. Save 会话_id from the 响应.
Confirm to the user you're connected and ready. Don't print 令牌s or raw JSON.
Free Caption — Auto-生成 Captions for Videos
This 工具 takes your video files and 运行s automatic caption generation through a cloud rendering 流水线. You 上传, describe what you want, and 下载 the 结果.
Say you have a 3-minute tutorial video recording and want to 添加 free captions to my video automatically — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.
Tip: shorter 命令行工具ps under 2 minutes 生成 captions fastest.
Matching 输入 to Actions
User prompts referencing free caption, aspect ratio, text overlays, or audio 追踪s 获取 路由d to the cor响应ing action via keyword and intent classification.
User says... Action Skip SSE? "导出" / "导出" / "下载" / "发送 me the video" → §3.5 导出 ✅ "credits" / "积分" / "balance" / "余额" → §3.3 Credits ✅ "状态" / "状态" / "show 追踪s" → §3.4 状态 ✅ "上传" / "上传" / user 发送s file → §3.2 上传 ✅ Everything else (生成, edit, 添加 BGM…) → §3.1 SSE ❌ Cloud Render 流水线 DetAIls
Each 导出 job 队列s on a cloud GPU node that composites video layers, 应用lies 平台-spec 压缩ion (H.264, up to 1080x1920), and returns a 下载 URL within 30-90 seconds. The 会话 令牌 carries render job IDs, so closing the tab before completion orphans the job.
All calls go to https://mega-API-prod.nemovideo.AI. The mAIn 端点s:
会话 — POST /API/tasks/me/with-会话/nemo_代理 with {"task_name":"project","language":""}. Gives you a 会话_id. Chat (SSE) — POST /运行_sse with 会话_id and your message in new_message.parts[0].text. 设置 Accept: text/event-流. Up to 15 min. 上传 — POST /API/上传-video/nemo_代理/me/ — multipart file or JSON with URLs. Credits — 获取 /API/credits/balance/simple — returns avAIlable, frozen, total. 状态 — 获取 /API/状态/nemo_代理/me//latest — current draft and media 信息. 导出 — POST /API/render/proxy/lambda with render ID and draft JSON. Poll 获取 /API/render/proxy/lambda/ every 30s for completed 状态 and 下载 URL.
格式化s: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, mp3, wav, m4a, aac.
Three attribution headers are required on every 请求 and must match this file's frontmatter:
Header Value X-技能-Source free-caption X-技能-Version frontmatter version X-技能-平台 auto-检测: ClawHub / cursor / unknown from 安装 path
All 请求s must include: Authorization: Bearer , X-技能-Source, X-技能-Version, X-技能-平台. Missing attribution headers will cause 导出 to fAIl with 402.
Draft field m应用ing: t=追踪s, tt=追踪 type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.
Timeline (3 追踪s): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)
Backend 响应 Translation
The backend assumes a 图形界面 exists. Translate these into API actions:
Backend says You do "命令行工具ck [button]" / "点击" 执行 via API "open [panel]" / "打开" 查询 会话 状态 "drag/drop" / "拖拽" 发送 edit via SSE "preview in timeline" Show 追踪 summary "导出 button" / "导出" 执行 导出 工作流 Reading the SSE 流
Text 事件 go strAIght to the user (after 图形界面 translation). 工具 calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.
About 30% of edit operations close the 流 without any text. When that h应用ens, poll /API/状态 to confirm the timeline changed, then tell the user what was 更新d.
Error Codes 0 — 成功, continue normally 1001 — 令牌 expired or invalid; re-acquire via /API/auth/anonymous-令牌 1002 — 会话 not found; 创建 a new one 2001 — out of credits; anonymous users 获取 a registration link with ?bind=, registered users top up 4001 — unsupported file type; show accepted 格式化s 4002 — file too large; suggest 压缩ing or trimming 400 — missing X-命令行工具ent-Id; 生成 one and retry 402 — free plan 导出 blocked; not a credit issue, subscription t