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Vheer Ai
by
vynbosserman65
· GitHub ↗
· v1.0.0
· MIT-0
81
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install vheer-ai
Description
Tired of navigating Vheer's features without guidance or spending hours figuring out what to create next? vheer-ai is your dedicated AI companion built to ma...
Usage Guidance
This skill appears coherent for controlling Vheer/Nemo cloud features, but before installing: 1) confirm you trust the nemo/vheer endpoints (https://mega-api-prod.nemovideo.ai) because your prompts, uploads, and generated content will be sent there; 2) if you already have a NEMO_TOKEN, prefer supplying it rather than letting the skill obtain an anonymous token; 3) the skill may check paths under your home directory (~/.clawhub/, ~/.cursor/, ~/.config/nemovideo/) to set attribution headers — if you’re uncomfortable with that, ask the author to avoid filesystem probing; and 4) note the package source is 'unknown' and there is no homepage — if you need stronger assurance, request provenance or a vendor link before installing.
Capability Assessment
Purpose & Capability
The skill declares and uses a single service credential (NEMO_TOKEN) and documents API endpoints for nemo/vheer video workflows; these requirements are consistent with an assistant that drives the Vheer/Nemo cloud API.
Instruction Scope
Instructions are primarily API calls to https://mega-api-prod.nemovideo.ai (session creation, SSE, upload, export). They also describe reading the skill's YAML frontmatter and detecting install paths under the user's home directory to set an X-Skill-Platform header — this requires probing the user's home directory but is limited in scope. The skill will request/stream user content to the listed API endpoints (expected for this integration).
Install Mechanism
Instruction-only skill with no install spec or external downloads; nothing is written to disk by an installer as part of the skill bundle itself.
Credentials
Only NEMO_TOKEN is required (declared as primary). The runtime also supports fetching an anonymous token from the nemo API if NEMO_TOKEN is absent; requesting a single service token is proportionate to the described functionality.
Persistence & Privilege
Skill does not request elevated or persistent platform privileges (always:false). It reads local install paths for attribution detection and uses ephemeral session tokens for API access, which is reasonable for this use case.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install vheer-ai - After installation, invoke the skill by name or use
/vheer-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
vheer-ai 1.0.0 — Initial Release
- Introduces an AI assistant tailored for Vheer platform users, streamlining content ideation, workflow management, and automation.
- Built-in onboarding: guides users to connect via NEMO_TOKEN or anonymous session for immediate access.
- Supports generating prompts, creative briefs, campaign plans, and titles/descriptions, optimized for Vheer workflows.
- Seamless interaction with Vheer Cloud API for session management, uploads, state, export, and credit checks.
- Clear error handling and real-time status updates during operations.
- Designed as a smart shortcut for creators, marketers, and teams to maximize productivity and creativity on Vheer.
Metadata
Frequently Asked Questions
What is Vheer Ai?
Tired of navigating Vheer's features without guidance or spending hours figuring out what to create next? vheer-ai is your dedicated AI companion built to ma... It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.
How do I install Vheer Ai?
Run "/install vheer-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Vheer Ai free?
Yes, Vheer Ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Vheer Ai support?
Vheer Ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Vheer Ai?
It is built and maintained by vynbosserman65 (@vynbosserman65); the current version is v1.0.0.
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