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francemichaell-15

Maker Fast

by francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install maker-fast
Description
Turn a 2-minute raw phone recording into 1080p ready-to-share videos just by typing what you need. Whether it's rapidly producing finished videos from raw cl...
README (SKILL.md)

Getting Started

Send me your raw footage and I'll handle the AI fast video creation. Or just describe what you're after.

Try saying:

  • "create a 2-minute raw phone recording into a 1080p MP4"
  • "quickly cut and compile this footage into a shareable video"
  • "rapidly producing finished videos from raw clips for content creators"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Maker Fast — Create and Export Videos Fast

This tool takes your raw footage and runs AI fast video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 2-minute raw phone recording and want to quickly cut and compile this footage into a shareable video — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter source clips produce faster results with cleaner cuts.

Matching Input to Actions

User prompts referencing maker fast, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is maker-fast, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool 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 stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "quickly cut and compile this footage into a shareable video" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility.

Common Workflows

Quick edit: Upload → "quickly cut and compile this footage into a shareable video" → Download MP4. Takes 30-60 seconds for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Usage Guidance
This skill behaves like a cloud video-rendering service: it will upload your footage to https://mega-api-prod.nemovideo.ai, create sessions, and return download URLs. Before installing, verify the publisher and the service domain (there's no homepage or public source listed). Consider these points: - Privacy: your raw videos will be sent to a third-party server. Don’t upload sensitive or private footage unless you trust the provider and understand retention/processing policies. - Credentials: the skill expects NEMO_TOKEN (or will obtain an anonymous token). Only provide a token if you trust the service; anonymous tokens have limited credits and will expire. - Metadata mismatch: SKILL.md mentions a local config path (~/.config/nemovideo/) not listed in the registry metadata — ask the publisher whether the skill will read local files or write configs. - Header behavior: the skill asks the agent to derive X-Skill-Platform from install paths; that could reveal local path information. Confirm what local metadata the skill will access. - Provenance: no homepage/source is provided. If you need stronger assurance, request the skill's source, privacy/TOS, or an official domain/owner identity before using it with sensitive data. If you proceed, test with non-sensitive footage first and monitor network activity and any account/credit links the skill provides.
Capability Analysis
Type: OpenClaw Skill Name: maker-fast Version: 1.0.0 The 'maker-fast' skill is a video editing integration that connects to a cloud rendering pipeline at mega-api-prod.nemovideo.ai. It handles session management, file uploads, and video rendering via standard REST and SSE API patterns. The instructions in SKILL.md guide the agent on authentication (using NEMO_TOKEN or an anonymous token) and mapping user intents to specific API actions. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested environment variables and configuration paths are consistent with the tool's stated purpose.
Capability Assessment
Purpose & Capability
The skill's declared purpose—cloud-based fast video creation—matches the described network actions (uploading footage, creating render jobs, polling status). However there's a metadata mismatch: the registry lists no required config paths, but the SKILL.md frontmatter claims a config path (~/.config/nemovideo/) which is not reflected in the registry metadata. The unknown source/homepage also reduces confidence in the publisher.
Instruction Scope
Runtime instructions direct the agent to obtain/use a bearer token, POST file uploads and SSE streams to a third-party API, create sessions, and poll render status. These actions are expected for a cloud render service, but the doc also tells the agent to 'detect' install path to set X-Skill-Platform (potentially requiring access to local install paths) and to keep technical details out of chat. The instructions are prescriptive about headers and error handling; they are somewhat vague about how to detect install paths or whether local config (~/.config/nemovideo/) should be read, which grants the agent discretionary access that isn't fully justified in the metadata.
Install Mechanism
Instruction-only skill (no install spec, no code files). This minimizes disk-write/install risk.
Credentials
The skill requires a single credential (NEMO_TOKEN) which is proportional for a cloud API. It also documents an anonymous-token flow so it can operate without a pre-provided token. The SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) while the registry shows none — this inconsistency should be clarified. No other unrelated secrets are requested.
Persistence & Privilege
The skill is not forced-always, has no install steps, and does not request exceptional platform privileges. It will create transient cloud sessions and jobs, which is expected. No evidence it modifies other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install maker-fast
  3. After installation, invoke the skill by name or use /maker-fast
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Maker Fast — rapid AI-powered video editing from raw footage. - Instantly turn raw phone recordings into 1080p shareable videos with simple prompts. - Connects to a cloud backend; free token system for anonymous users. - Handles uploads, edits, credits checking, export, and session management via clear commands. - Guides users with progress statuses and streamlines render/export (MP4 format recommended). - Supports a wide range of audio, video, and image file types up to 500MB. - Robust error handling and user feedback for common issues (credits, file type, rate limits).
Metadata
Slug maker-fast
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Maker Fast?

Turn a 2-minute raw phone recording into 1080p ready-to-share videos just by typing what you need. Whether it's rapidly producing finished videos from raw cl... It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.

How do I install Maker Fast?

Run "/install maker-fast" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Maker Fast free?

Yes, Maker Fast is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Maker Fast support?

Maker Fast is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Maker Fast?

It is built and maintained by francemichaell-15 (@francemichaell-15); the current version is v1.0.0.

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