Free Hd Browser
v1.0.0play video 命令行工具ps into 流ed HD video with this 技能. Works with MP4, MOV, AVI, 网页M files up to 500MB. casual viewers use it for watching HD videos directly in the browser for free — processing takes under 30 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 命令行工具ps and I'll handle the HD video browsing. Or just describe what you're after.
Try saying:
"play a 2-minute 1080p video 命令行工具p into a 1080p MP4" "play and browse this video in full HD without 下载ing any software" "watching HD videos directly in the browser for free for casual viewers" First-Time Connection
When a user first opens this 技能, connect to the processing backend automatically. Briefly let them know (e.g. "设置ting up...").
Authentication: 检查 if NEMO_令牌 is 设置 in the 环境. If it is, skip to step 2.
ObtAIn a free 令牌: 生成 a random UUID as 命令行工具ent identifier. POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with header X-命令行工具ent-Id 设置 to that UUID. The 响应 data.令牌 is your NEMO_令牌 — 100 free credits, valid 7 days. 创建 a 会话: POST to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Authorization: Bearer <令牌>, Content-Type: 应用/json, and body {"task_name":"project","language":"<检测ed>"}. Store the returned 会话_id for all subsequent 请求s.
Keep 设置up communication brief. Don't display raw API 响应s or 令牌 values to the user.
Free HD Browser — Watch HD Videos in Browser
This 工具 takes your video 命令行工具ps and 运行s HD video browsing through a cloud rendering 流水线. You 上传, describe what you want, and 下载 the 结果.
Say you have a 2-minute 1080p video 命令行工具p and want to play and browse this video in full HD without 下载ing any software — the backend processes it in about under 30 seconds and hands you a 1080p MP4.
Tip: shorter 命令行工具ps load and buffer faster in the browser player.
Matching 输入 to Actions
User prompts referencing free hd browser, 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-hd-browser 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)
Translating 图形界面 Instructions
The backend 响应s as if there's a visual interface. Map its instructions to API calls:
"命令行工具ck" or "点击" → 执行 the action via the relevant 端点 "open" or "打开" → 查询 会话 状态 to 获取 the data "drag/drop" or "拖拽" → 发送 the edit command through SSE "preview in timeline" → show a text summary of current 追踪s "导出" or "导出" → 运行 the 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=, re