Token导航 LogoToken导航TokenDH.com
研究检索敏感数据clawhub未标认证来源可访问clear审计提醒

genviralgenviral 演示文稿

Agent Skill

genviral 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

25,214

周安装

1,020

GitHub Stars

公开资料未说明

下载量

7,915
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:genviral(genviral 演示文稿)
来源仓库:https://github.com/ugenesys/genviral
安装命令:
openclaw skills install genviral
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install genviral

简介

genviral 用于自动化社交媒体内容发布。

  • 支持 TikTok、Instagram 等平台的内容创建。
  • 包括视频和幻灯片格式的帖子安排。genviral 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网或文件读写。

SKILL.md

name
genviral
description
Complete genviral Partner API automation. Create and schedule posts (video + slideshow) across TikTok, Instagram, and any supported platform. Includes slideshow generation, file uploads, template/pack management, analytics, and full content pipeline automation.
homepage
https://github.com/fdarkaou/genviral-skill
metadata
openclaw
emoji
🎬
requires
bins
["curl", "jq", "bash"]

genviral Partner API Skill

TL;DR: Wraps genviral's Partner API into 50+ bash commands. Core flow: get-pack → analyze images (metadata + vision) → generate with pinned_imagesrender → visual review (hard gate) → create-post → log to workspace/performance/log.json. Studio AI: studio-modelsstudio-generate-image (sync) or studio-generate-videostudio-video-status --poll (async). Auth via GENVIRAL_API_KEY. Config in defaults.yaml. Instance data in workspace/.

What This Skill Does

  • Multi-Platform Posting: Video or slideshow posts across TikTok, Instagram, YouTube, Pinterest, LinkedIn, Facebook
  • Studio AI Generation: Generate images (sync) and videos (async) via AI models through the API
  • File Management: Upload videos/images to genviral's CDN
  • AI Slideshow Generation: Photo carousels from prompts, rendered to images
  • Template System: Reusable slideshow structures, convert winners to templates
  • Pack Management: Image packs as slideshow backgrounds
  • Analytics: KPIs, post-level metrics, tracked accounts, refresh triggers
  • Niche Intelligence: One-call trend research (trend-brief) for hashtags, sounds, creators, posting windows, and hook angles
  • Content Pipeline: Full automation from prompt to posted content
  • Performance Tracking: Post log, hook tracking, weekly review
  • Hook Library: Maintain and evolve a library of proven content hooks

How It Works

  1. Generate or upload media
  2. Create a post targeting one or more accounts
  3. Schedule or publish (for TikTok slideshows, optionally save as drafts so you can add trending audio before publishing — music selection requires human judgment for best results)
  4. Track performance via analytics
  5. Learn and optimize

All configuration in defaults.yaml. Secrets via environment variables. Everything posted shows up in the Genviral dashboard.

First-Time Setup

If fresh install, read docs/setup.md and walk the user through onboarding conversationally:

  1. Set API key and verify it works
  2. List accounts and pick which to post to
  3. Discuss image strategy (existing packs, create new, generate per post, or mix)
  4. Optionally set up product context and brand voice together

No hardcoded defaults. Ask the user what they prefer and adapt. Everything done through this skill shows up in the Genviral dashboard, so the user always has full visibility and control.

File Structure

genviral/
  SKILL.md                  # This file (kernel + routing)
  README.md                 # Human-facing overview
  defaults.yaml             # API config and defaults

  docs/
    setup.md                # Onboarding guide (conversational, 5 phases)
    api/
      accounts-files.md     # accounts, upload, list-files
      posts.md              # create-post, update-post, retry, list, get, delete
      slideshows.md         # generate, render, review, update, regenerate, duplicate, list + text styles
      packs.md              # pack CRUD + smart image selection (MANDATORY reading for any pack workflow)
      templates.md          # template CRUD + create-from-slideshow
      analytics.md          # all analytics commands
      studio.md             # Studio AI: generate images/videos, list models, poll status
      subscription.md       # subscription status, credits, tier
      pipeline.md           # content pipeline, performance loop, CTA testing, platform tips
      errors.md             # error codes and troubleshooting
    references/
      analytics-loop.md     # Full analytics feedback loop and weekly review process
      competitor-research.md # How to research competitors
    prompts/
      slideshow.md          # Prompt templates for slideshow generation
      hooks.md              # Prompt templates for hook brainstorming

  workspace/                # All instance/customer data (override with GENVIRAL_WORKSPACE_DIR)
    content/
      scratchpad.md         # Working content plan and drafts
      calendar.json         # Upcoming planned posts
    context/
      product.md            # Product description, value props, target audience
      brand-voice.md        # Tone, style, do's and don'ts
      niche-research.md     # Platform research for the niche
    hooks/
      library.json          # Hook instances (grows over time, tracks performance)
      formulas.md           # Hook formula patterns and psychology
    performance/
      log.json              # CANONICAL post record (single source of truth)
      hook-tracker.json     # Hook and CTA tracking with metrics (the feedback loop)
      insights.md           # Agent learnings from performance data
      weekly-review.md      # Weekly review notes
      competitor-insights.md # Competitor research findings

  scripts/
    genviral.sh             # Main API wrapper (all commands)
    update-skill.sh         # Self-updater

Command Routing

Load only what you need for the current task:

TaskRead
Account discovery, file uploaddocs/api/accounts-files.md
Create, update, list, delete postsdocs/api/posts.md
Slideshow generation, rendering, editing, text stylesdocs/api/slideshows.md
Pack management, image selection (ANY pack workflow)docs/api/packs.md
Template creation and managementdocs/api/templates.md
Analytics queries and target managementdocs/api/analytics.md
Studio AI: generate images, videos, list modelsdocs/api/studio.md
Subscription: check credits, tier, renewal datesdocs/api/subscription.md
Research a specific niche quickly (trend + competitors + hooks)docs/api/analytics.md, docs/references/competitor-research.md, docs/prompts/hooks.md
Full content pipeline, performance loop, CTA testingdocs/api/pipeline.md
Error codes, troubleshootingdocs/api/errors.md

Niche Research Mode (When user asks to research a niche)

When asked things like "research this niche", "find what works in this niche", or "give me niche intelligence":

  1. Run trend-brief first for the niche keyword (7d baseline, then 24h for freshness if needed).
  2. Extract and report: top hashtags, top sounds, top creators, posting windows (UTC), recommended hook angles.
  3. Run competitor deep-dive using docs/references/competitor-research.md (3-5 accounts minimum).
  4. Produce a short actionable output with:

- 3 hook angles to test - 2 CTA suggestions - 2 best posting windows - 5 hashtags to start with - 1 "gap to exploit" insight

  1. Save findings to workspace/performance/competitor-insights.md and use them in subsequent content prompts.

Non-Negotiable Rules

These apply regardless of what docs you've loaded:

  1. ALWAYS use pinned_images when generating a slideshow with a pack. Never call generate with just --pack-id — the server will pick random images. Read docs/api/packs.md before any pack workflow.
  1. ALWAYS visually review every rendered slide before posting. If any slide fails readability, fix it. This is a hard gate — not a suggestion.
  1. ALWAYS log to workspace/performance/log.json immediately after posting. This is the canonical record.
  1. ALWAYS add a hook-tracker entry after posting. No tracking = no learning.
  1. Never use em-dashes in any generated content.
  1. Respect workspace/ — all instance data lives here. Do not write state files to the skill root.

Script Usage

/path/to/genviral/scripts/genviral.sh <command> [options]

Requires GENVIRAL_API_KEY as an environment variable (format: public_id.secret). Loads defaults from defaults.yaml. Set GENVIRAL_WORKSPACE_DIR to override the workspace path (defaults to workspace/ relative to the skill dir).

Auto-Updates

This skill includes a self-updater that keeps skill-owned files in sync with the latest version from fdarkaou/genviral-skill.

bash scripts/update-skill.sh           # check + apply if updates available
bash scripts/update-skill.sh --dry-run # preview only, no changes
bash scripts/update-skill.sh --force   # force re-apply even if already current

What gets updated (skill-owned): SKILL.md, scripts/, docs/ (all subdirs)

What never gets touched (user-owned): workspace/ — your data, context, hooks, and performance logs are always preserved.


Notes

  • Works with any platform genviral supports (TikTok, Instagram, etc.)
  • Supports both video and slideshow posts
  • Works with hosted and BYO accounts
  • Posts can be scheduled or queued for immediate publishing
  • TikTok slideshow drafts: use post_mode: MEDIA_UPLOAD to save to drafts inbox for audio addition

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

80.08%
按下载量换算6,338

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills