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LongLeo

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@LongLeo287 · Ho Chi Minh City

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11Public Repos
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15Published Skills

LongLeo's SEOSONA skill suite governs AI image/video generation, prompt engineering, quality-gating, and local-first media pipelines for Vietnamese content creators.

Skills Distribution
DomainUI/UX & Crea...AI Image & Video G.. (40%)Prompt Engineering.. (25%)Visual Quality Ass.. (20%)Local Media Pipeli.. (15%)

Agent Skills by LongLeo

Showing 15 vetted skills indexed across 1 GitHub repositories.

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flow-mcp

Generates images and videos through SEOSONA Flow via a local MCP server.

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Advanced
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build-capability

Guides building local-first CLI tools, DSL parsers, search indexes, and storage layers from scratch.

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Intermediate
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mllm-judge

Scores AI-generated images and videos against rubric criteria using vision models as judges.

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Intermediate
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img-to-3d

Converts a reference image into a procedural Three.js model via code-only primitives.

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Advanced
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video-ai-v2-pipeline

Plans local video production pipelines with TTS, ASR, captioning, and reframing via sidecar tools.

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Advanced
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prompt-optimize

Refines image and video generation prompts through an optimize-evaluate-iterate loop.

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Intermediate
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interview-to-spec

Interviews users to complete image and video generation briefs before writing prompts.

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Intermediate
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video-prompt-scaffold

Generates structured seven-part video prompts for Veo, Sora, and Kling generation models.

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Intermediate
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viral-ad-formats

Provides Vietnamese UGC ad video format templates and product image presets for Veo generation.

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Basic
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spec-gate-build

Validates JSON specs before building structured artifacts in deterministic passes with verification.

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Intermediate
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text-in-image

Generates correctly spelled text in AI images via reserve-and-overlay or constrained bake-in prompting.

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Intermediate
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anti-slop-visual

Lint AI image and video generation prompts against banned filler phrases and enforce concrete descriptive terms.

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Intermediate
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image-qa

Reviews AI-generated images against a visual checklist and OCR text comparison to issue accept, regenerate, or overlay verdicts.

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Intermediate
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character-consistency

Maintains character and style consistency across batch AI image generation prompts.

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Intermediate
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video-production

Plans multi-scene AI videos with voiceover-timed beats, style-anchor keyframes, and per-beat resumable state.

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Intermediate

Frequently Asked Questions About LongLeo

FAQPage Schema
What tasks can I accomplish with LongLeo's SEOSONA skills?▼

You can generate and refine AI images and videos via SEOSONA Flow, optimize prompts for Veo/Sora/Kling, enforce character consistency across scenes, QA images for text and anatomy defects, build procedural Three.js models from reference photos, and plan local TTS/caption/reframe video pipelines.

Who are these skills designed for?▼

They target Vietnamese content creators, video ad producers, and developers building the SEOSONA Flow extension and Video AI V2 product. Users range from marketers needing viral UGC-style b-roll to engineers implementing spec-gate-build architectures and local sidecar media binaries.

How do the generation and quality-control skills work together in practice?▼

A typical flow: interview-to-spec clarifies the brief, video-prompt-scaffold writes disciplined prompts, anti-slop-visual bans vague tokens, Flow generates assets, then image-qa and mllm-judge score outputs with accept/reject verdicts. Video-production orchestrates multi-scene results with resumable per-beat state.

Do these skills require paid APIs or external services?▼

The viral-ad-formats taxonomy explicitly uses no paid APIs—Flow generates b-roll with your own Veo access. The MCP server is optional, and Video AI V2 heavy components (whisperX, audio.cpp) build in separate sidecar repositories, keeping the core extension lightweight and local-first.

What are the prerequisites for using the video pipeline skills?▼

Video AI V2 pipeline skills are plan/interface definitions only; actual binaries like the C++ audio.cpp and Python whisperX must be built in separate sidecar repos. The flow-mcp skill requires a local MCP server, though both Flow and V2 run independently without it.