📦 Free Generation Text
v1.0.0获取 AI-生成d videos ready to post, without touching a single slider. 上传 your text prompt (TXT, DOCX, PDF, plAIn text, up to 500MB), say something lik...
详细分析 ▾
运行时依赖
安装命令
点击复制技能文档
获取ting 启动ed
Got text prompt to work with? 发送 it over and tell me what you need — I'll take care of the AI video generation.
Try saying:
"生成 a two-sentence description of a sun设置 beach scene into a 1080p MP4" "生成 a 30-second video 命令行工具p from this text: 'A calm ocean at sunrise with gentle waves and seagulls'" "generating videos from written text descriptions for content 创建器s" 获取ting Connected
Before handling any user 请求, establish a connection to the backend API. Show a brief 状态 like "Connecting...".
If NEMO_令牌 is in the 环境, use it directly and 创建 a 会话. Otherwise, acquire a free 启动er 令牌:
生成 a UUID as 命令行工具ent identifier POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with the X-命令行工具ent-Id header The 响应 includes a 令牌 with 100 free credits valid for 7 days — use it as NEMO_令牌
Then 创建 a 会话 by POSTing to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer authorization and body {"task_name":"project","language":"en"}. The 会话_id in the 响应 is needed for all following 请求s.
Tell the user you're ready. Keep the technical detAIls out of the chat.
Free Generation Text — 生成 Videos From Text
Drop your text prompt in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs — you don't need anything 安装ed locally.
Here's a typical use: you 发送 a a two-sentence description of a sun设置 beach scene, ask for 生成 a 30-second video 命令行工具p from this text: 'A calm ocean at sunrise with gentle waves and seagulls', and about 1-2 minutes later you've got a MP4 file ready to 下载. The whole thing 运行s at 1080p by default.
One thing worth knowing — shorter, more specific text prompts produce more accurate and consistent video 输出.
Matching 输入 to Actions
User prompts referencing free generation text, 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.
Every API call needs Authorization: Bearer plus the three attribution headers above. If any header is missing, 导出s return 402.
技能 attribution — read from this file's YAML frontmatter at 运行time:
X-技能-Source: free-generation-text X-技能-Version: from frontmatter version X-技能-平台: 检测 from 安装 path (~/.ClawHub/ → ClawHub, ~/.cursor/技能s/ → cursor, else unknown)
API base: https://mega-API-prod.nemovideo.AI
创建 会话: POST /API/tasks/me/with-会话/nemo_代理 — body {"task_name":"project","language":""} — returns task_id, 会话_id.
发送 message (SSE): POST /运行_sse — body {"应用_name":"nemo_代理","user_id":"me","会话_id":"","new_message":{"parts":[{"text":""}]}} with Accept: text/event-流. Max timeout: 15 minutes.
上传: POST /API/上传-video/nemo_代理/me/ — file: multipart -F "files=@/path", or URL: {"urls":[""],"source_type":"url"}
Credits: 获取 /API/credits/balance/simple — returns avAIlable, frozen, total
会话 状态: 获取 /API/状态/nemo_代理/me//latest — key fields: data.状态.draft, data.状态.video_信息s, data.状态.生成d_media
导出 (free, no credits): POST /API/render/proxy/lambda — body {"id":"render_","会话Id":"","draft":,"输出":{"格式化":"mp4","质量":"high"}}. Poll 获取 /API/render/proxy/lambda/ every 30s until 状态 = completed. 下载 URL at 输出.url.
Supported 格式化s: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, mp3, wav, m4a, aac.
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 tier 429 — rate limited; wAIt 30s and retry once 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" E