Media Gen
clacky-ai/openclacky
Generate or edit images, videos, or audio in the current task.
Explain anything — turn ideas into podcasts, explainer videos, or voice narration.
$ npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills listenhub --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/listenhub .claude/skills/listenhub && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "listenhub" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/listenhub into .claude/skills/listenhub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/listenhubType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills listenhub --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/listenhub .agents/skills/listenhub && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "listenhub" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/listenhub into .agents/skills/listenhub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills listenhub --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/listenhub .cursor/skills/listenhub && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "listenhub" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/listenhub into .cursor/skills/listenhub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/listenhub--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills listenhub --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/listenhub .gemini/skills/listenhub && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "listenhub" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/listenhub into .gemini/skills/listenhub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills listenhubInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/listenhub .github/skills/listenhub && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "listenhub" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/listenhub into .github/skills/listenhub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills listenhub --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/listenhub .opencode/skills/listenhub && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "listenhub" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/listenhub into .opencode/skills/listenhub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listenhub", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
listenhubExplain anything — turn ideas into podcasts, explainer videos, or voice narration.
Listenhub is an agent skill from LeoYeAI/openclaw-master-skills. Explain anything — turn ideas into podcasts, explainer videos, or voice narration. Use when the user wants to "make a podcast", "create an explainer video", "read this aloud", "generate an image", or share knowledge in audio/visual form. Supports: topic descriptions, YouTube links, article URLs, plain text, and image prompts.
Its SKILL.md is about 5.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts (for example `_meta.json`, `scripts/check-status.sh` and `scripts/create-explainer.sh`).
It sits in Media & Creative, covering Video production, Image generation and Podcasting. It works with YouTube. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 11 files in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
listenhub.aiyoutube.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LISTENHUB_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Listenhub loads about 5.3k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 2,126 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,126 words, ~5,260 tokens.
.claude/skills/listenhub/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.<purpose>
**The Hook**: Paste content, get audio/video/image. That simple.
Four modes, one entry point:
Users don't need to remember APIs, modes, or parameters. Just say what you want.
</purpose>
<instructions>
The scripts are the ONLY interface. Period.
┌─────────────────────────────────────────────────────────┐
│ AI Agent ──▶ ./scripts/*.sh ──▶ ListenHub API │
│ ▲ │
│ │ │
│ This is the ONLY path. │
│ Direct API calls are FORBIDDEN. │
└─────────────────────────────────────────────────────────┘MUST:
**/skills/listenhub/scripts/MUST NOT:
Why: The API is proprietary. Endpoints, parameters, and speakerIds are NOT publicly documented. Web searches will NOT find this information. Any attempt to bypass scripts will produce incorrect, non-functional code.
Scripts are located at **/skills/listenhub/scripts/ relative to your working context.
Different AI clients use different dot-directories:
.claude/skills/listenhub/scripts/.cursor/, .windsurf/, etc.)Resolution: Use glob pattern **/skills/listenhub/scripts/*.sh to locate scripts reliably, or resolve from the SKILL.md file's own path.
The following are internal implementation details that AI cannot reliably know:
| Category | Examples | How to Obtain |
|---|---|---|
| API Base URL | api.marswave.ai/... | ✗ Cannot — internal to scripts |
| Endpoints | podcast/episodes, etc. | ✗ Cannot — internal to scripts |
| Speaker IDs | cozy-man-english, etc. | ✓ Call get-speakers.sh |
| Request schemas | JSON body structure | ✗ Cannot — internal to scripts |
| Response formats | Episode ID, status codes | ✓ Documented per script |
Rule: If information is not in this SKILL.md or retrievable via a script (like get-speakers.sh), assume you don't know it.
Hide complexity, reveal magic.
Users don't need to know: Episode IDs, API structure, polling mechanisms, credits, endpoint differences. Users only need: Say idea → wait a moment → get the link.
API key stored in $LISTENHUB_API_KEY. Check on first use:
source ~/.zshrc 2>/dev/null; [ -n "$LISTENHUB_API_KEY" ] && echo "ready" || echo "need_setup"If setup needed, guide user:
lh_sk_... part)Image generation uses the same ListenHub API key stored in $LISTENHUB_API_KEY.
Image generation output path defaults to the user downloads directory, stored in $LISTENHUB_OUTPUT_DIR.
On first image generation, the script auto-guides configuration:
Security: Never expose full API keys in output.
Auto-detect mode from user input:
→ Podcast (1-2 speakers)
Supports single-speaker or dual-speaker podcasts. Debate mode requires 2 speakers.
Default mode: quick unless explicitly requested.
If speakers are not specified, call get-speakers.sh and select the first speakerId
matching the chosen language.
If reference materials are provided, pass them as --source-url or --source-text.
When the user only provides a topic (e.g., "I want a podcast about X"), proceed with:
language from user input,mode=quick,get-speakers.sh matching the language,→ Explain (Explainer video)
→ TTS (Text-to-speech)
TTS defaults to FlowSpeech direct for single-pass text or URL narration.
Script arrays and multi-speaker dialogue belong to Speech as an advanced path, not the default TTS entry.
Text-to-speech input is limited to 10,000 characters; split or use a URL when longer.
When the request is ambiguous (e.g., "convert to speech", "read aloud"), apply:
direct to avoid altering content.type=url, plain text uses type=text.get-speakers and pick the first speakerId matching language.scripts.Example guidance:
“This request can use FlowSpeech with the default direct mode; switch to smart for grammar and punctuation fixes. For per-line speaker assignment, provide scripts and switch to Speech.”
→ Image Generation
Reference Images via Image Hosts
When reference images are local files, upload to a known image host and use the direct image URL in --reference-images.
Recommended hosts: imgbb.com, sm.ms, postimages.org, imgur.com.
Direct image URLs should end with .jpg, .png, .webp, or .gif.
Default: If unclear, ask user which format they prefer.
Explicit override: User can say "make it a podcast" / "I want explainer video" / "just voice" / "generate image" to override auto-detection.
→ Got it! Preparing...
Mode: Two-person podcast
Topic: Latest developments in Manus AIFor URLs, identify type:
youtu.be/XXX → convert to https://www.youtube.com/watch?v=XXX→ Generation submitted
Estimated time:
• Podcast: 2-3 minutes
• Explain: 3-5 minutes
• TTS: 1-2 minutes
You can:
• Wait and ask "done yet?"
• Use check-status via scripts
• View outputs in product pages:
- Podcast: https://listenhub.ai/app/podcast
- Explain: https://listenhub.ai/app/explainer
- Text-to-Speech: https://listenhub.ai/app/text-to-speech
• Do other things, ask laterInternally remember Episode ID for status queries.
When user says "done yet?" / "ready?" / "check status":
Podcast result:
✓ Podcast generated!
"{title}"
Episode: https://listenhub.ai/app/episode/{episodeId}
Duration: ~{duration} minutes
Download audio: provide audioUrl or audioStreamUrl on requestOne-stage podcast creation generates an online task. When status is success, the episode detail already includes scripts and audio URLs. Download uses the returned audioUrl or audioStreamUrl without a second create call. Two-stage creation is only for script review or manual edits before audio generation.
Explain result:
✓ Explainer video generated!
"{title}"
Watch: https://listenhub.ai/app/explainer
Duration: ~{duration} minutes
Need to download audio? Just say so.Image result:
✓ Image generated!
~/Downloads/labnana-{timestamp}.jpgImage results are file-only and not shown in the web UI.
Important: Prioritize web experience. Only provide download URLs when user explicitly requests.
Scripts are shell-based. Locate via **/skills/listenhub/scripts/.
Dependency: jq is required for request construction.
The AI must ensure curl and jq are installed before invoking scripts.
⚠️ Long-running Tasks: Generation may take 1-5 minutes. Use your CLI client's native background execution feature:
run_in_background: true in Bash toolInvocation pattern:
$SCRIPTS/script-name.sh [args]Where $SCRIPTS = resolved path to **/skills/listenhub/scripts/
Default path. Use unless script review or manual editing is required.
$SCRIPTS/create-podcast.sh --query "The future of AI development" --language en --mode deep --speakers cozy-man-english
$SCRIPTS/create-podcast.sh --query "Analyze this article" --language en --mode deep --speakers cozy-man-english --source-url "https://example.com/article"Multiple --source-url and --source-text arguments are supported to combine several references in one request.
Advanced path. Use only when script review or edits are explicitly requested.
The entire value of two-stage generation is human review between stages. Skipping review reduces it to one-stage with extra latency — never do this.
Stage 1: Generate text content.
$SCRIPTS/create-podcast-text.sh --query "AI history" --language en --mode deep --speakers cozy-man-english,travel-girl-englishReview Gate (mandatory): After text generation completes, the agent MUST:
check-status.sh --wait to poll until completion. On exit code 2 (timeout or rate-limited), wait briefly and retry.~/Downloads/podcast-draft-<episode-id>.md — human-readable version assembled from the response fields (title, outline, sourceProcessResult.content, and the scripts array formatted as readable dialogue). This is for the user to review.~/Downloads/podcast-scripts-<episode-id>.json — the raw {"scripts": [...]} object extracted from the response, exactly in the format that create-podcast-audio.sh --scripts expects. This is the machine-readable source of truth for Stage 2.open command on macOS).create-podcast-audio.sh --episode <id> without --scripts (server uses original).--scripts.The agent MUST NOT proceed to Stage 2 automatically. This is a hard constraint, not a suggestion.
Stage 2: Generate audio from reviewed/approved text.
# User approved without changes:
$SCRIPTS/create-podcast-audio.sh --episode "<episode-id>"
# User provided edits:
$SCRIPTS/create-podcast-audio.sh --episode "<episode-id>" --scripts modified-scripts.json$SCRIPTS/create-speech.sh --scripts scripts.json
echo '{"scripts":[{"content":"Hello","speakerId":"cozy-man-english"}]}' | $SCRIPTS/create-speech.sh --scripts -
# scripts.json format:
# {
# "scripts": [
# {"content": "Script content here", "speakerId": "speaker-id"},
# ...
# ]
# }$SCRIPTS/get-speakers.sh --language zh
$SCRIPTS/get-speakers.sh --language enGuidance:
get-speakers.sh 获取可用列表。language 匹配的列表首个 speakerId 作为默认音色。Response structure (for AI parsing):
{
"code": 0,
"data": {
"items": [
{
"name": "Yuanye",
"speakerId": "cozy-man-english",
"gender": "male",
"language": "zh"
}
]
}
}Usage: When user requests specific voice characteristics (gender, style), call this script first to discover available speakerId values. NEVER hardcode or assume speakerIds.
$SCRIPTS/create-explainer.sh --content "Introduce ListenHub" --language en --mode info --speakers cozy-man-english
$SCRIPTS/generate-video.sh --episode "<episode-id>"$SCRIPTS/create-tts.sh --type text --content "Welcome to ListenHub" --language en --mode smart --speakers cozy-man-english$SCRIPTS/generate-image.sh --prompt "sunset over mountains" --size 2K --ratio 16:9
$SCRIPTS/generate-image.sh --prompt "style reference" --reference-images "https://example.com/ref1.jpg,https://example.com/ref2.png"Supported sizes: 1K | 2K | 4K (default: 2K).
Supported aspect ratios: 16:9 | 1:1 | 9:16 | 2:3 | 3:2 | 3:4 | 4:3 | 21:9 (default: 16:9).
Reference images: comma-separated URLs, maximum 14.
# Single-shot query
$SCRIPTS/check-status.sh --episode "<episode-id>" --type podcast
# Wait mode (recommended for automated polling)
$SCRIPTS/check-status.sh --episode "<episode-id>" --type podcast --wait
$SCRIPTS/check-status.sh --episode "<episode-id>" --type flow-speech --wait --timeout 60
$SCRIPTS/check-status.sh --episode "<episode-id>" --type explainer --wait --timeout 600tts is accepted as an alias for flow-speech.
--wait mode handles polling internally with configurable limits.
Agents SHOULD use --wait instead of manual polling loops. On exit code 2, wait briefly and retry the command.
| Option | Default | Description |
|---|---|---|
--wait | off | Enable polling mode |
--max-polls | 30 | Maximum poll attempts |
--timeout | 300 | Maximum total wait (seconds) |
--interval | 10 | Base poll interval (seconds) |
Exit codes: 0 = completed, 1 = failed, 2 = timeout or rate-limited (still pending, safe to retry after a short wait).
Automatic Language Detection: Adapt output language based on user input and context.
Detection Rules:
Application:
Example:
User (Chinese): "生成一个关于 AI 的播客"
AI (Chinese): "→ 收到!准备双人播客..."
User (English): "Make a podcast about AI"
AI (English): "→ Got it! Preparing two-person podcast..."Principle: Language is interface, not barrier. Adapt seamlessly to user's natural expression.
You are a dispatcher, not an implementer.
Your job is to:
Your job is NOT to:
ListenHub modes (passthrough):
get-speakers.sh first to list optionsLabnana mode (passthrough by default):
Default behavior: transparent forwarding. Pass the user's prompt directly to the script without modification.
When to offer optimization:
In this case, ask whether the user would like help enriching the prompt. Do not optimize without confirmation.
When to never modify:
If the user agrees to optimization, the following techniques are available as reference:
Style: "cyberpunk" → add "neon lights, futuristic, dystopian"; "ink painting" → add "Chinese ink painting, traditional art style"
Scene: time of day, lighting conditions, weather
Quality: "highly detailed", "8K quality", "cinematic composition"
Rules when optimizing:
</instructions>
<examples>
<example name="podcast-request">
<user>Make a podcast about the latest AI developments</user>
<response>
→ Got it! Preparing two-person podcast...
Topic: Latest AI developments
→ Generation submitted, about 2-3 minutes
You can:
• Wait and ask "done yet?"
• Check listenhub.ai/app/library
</response>
</example>
<example name="explainer-request">
<user>Create an explainer video introducing Claude Code</user>
<response>
→ Got it! Preparing explainer video...
Topic: Claude Code introduction
→ Generation submitted, explainer videos take 3-5 minutes
Includes: Script + narration + AI visuals
</response>
</example>
<example name="tts-request">
<user>Convert this article to speech https://blog.example.com/article</user>
<response>
→ Got it! Parsing article...
→ TTS submitted, about 1-2 minutes
Wait a moment, or ask "done yet?" to check
</response>
</example>
<example name="image-generation-short-prompt">
<user>Generate an image: cyberpunk city at night</user>
<response>
→ Short prompt detected. Would you like help enriching it with style/lighting/composition details, or use it as-is?
</response>
</example>
<example name="image-generation-detailed-prompt">
<user>Generate an image: "Cyberpunk city at night, neon lights reflecting on wet streets, towering skyscrapers with holographic ads, flying vehicles, cinematic composition, highly detailed, 8K quality"</user>
<response>
→ Generating image...
Prompt: Cyberpunk city at night, neon lights reflecting on wet streets, towering skyscrapers with holographic ads, flying vehicles, cinematic composition, highly detailed, 8K quality
Resolution: 2K (16:9)
✓ Image generated!
~/Downloads/labnana-20260121-143145.jpg
</response>
</example>
<example name="image-with-reference">
<user>Generate an image in this style: https://example.com/style-ref.jpg, prompt: "a futuristic car"</user>
<response>
→ Generating image with reference...
Prompt: a futuristic car Reference images: 1 Reference image URL: https://example.com/style-ref.jpg Resolution: 2K (16:9)
✓ Image generated!
~/Downloads/labnana-20260122-154230.jpg
</response>
</example>
<example name="status-check">
<user>Done yet?</user>
<response>
✓ Podcast generated!
"AI Revolution: From GPT to AGI"
Listen: https://listenhub.ai/app/podcast
Duration: ~8 minutes
Need to download? Just say so.
</response>
</example>
</examples>
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 12 other files (scripts) in skills/listenhub of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Listenhub next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Listenhub this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.3k | Automated safety check: Pass | MIT | |
| Media Genclacky-ai/openclacky | 1.2k | — | ~7.3k | Automated safety check: Pass | MIT | |
| Youtube Thumbnailhassancs91/claude-youtube-editor | 328 | — | ~2.1k | Automated safety check: Notes | MIT | |
| Qwen Editdigitalsamba/claude-code-video-toolkit | 2.2k | — | ~711 | Automated safety check: Pass | MIT | |
| Make Tsxhassancs91/claude-youtube-editor | 328 | — | ~1.9k | Automated safety check: Notes | MIT | |
| AI Content PipelineNeverSight/learn-skills.dev | 217 | 1 repos | ~1.8k | Automated safety check: Pass | None |
clacky-ai/openclacky
Generate or edit images, videos, or audio in the current task.
hassancs91/claude-youtube-editor
Dedicated YouTube thumbnail generator — interviews you for exactly the style elements you want (environment, text budget, extras, accent color), then renders high-contrast, vibrant, face-consistent…
digitalsamba/claude-code-video-toolkit
AI image editing prompting patterns for Qwen-Image-Edit. An agent skill from digitalsamba/claude-code-video-toolkit.
hassancs91/claude-youtube-editor
Step 2 of the AI Video Editor pipeline — build the visual beats (Remotion TSX shots) over a project's master cut and bake a composited preview.
NeverSight/learn-skills.dev
Build multi-step AI content creation pipelines combining image, video, audio, and text.
hassancs91/claude-youtube-editor
Voice/audio cleanup step of the AI Video Editor pipeline — diagnose a video's background noise, pick the right denoise method, and produce a cleaned master (voice isolated, levels preserved, video…
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
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Explain anything — turn ideas into podcasts, explainer videos, or voice narration. Listenhub is an agent skill from LeoYeAI/openclaw-master-skills. Explain anything — turn ideas into podcasts, explainer videos, or voice narration.
Listenhub fits situations like: the user wants to make a podcast; create an explainer video; read this aloud; generate an image.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a claude-code`. Or copy the skill folder (skills/listenhub in LeoYeAI/openclaw-master-skills) into .claude/skills/listenhub in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a codex`. Or copy the skill folder (skills/listenhub in LeoYeAI/openclaw-master-skills) into .agents/skills/listenhub in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill listenhub -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/listenhub, .gemini/skills/listenhub, .github/skills/listenhub and .opencode/skills/listenhub in your project.
Going by SKILL.md and its folder, Listenhub needs a shell for the scripts in its folder and credentials named LISTENHUB_API_KEY. Our summary lists: A Bash shell; A credential in LISTENHUB_API_KEY.
SKILL.md names 2 domains. In commands or code: listenhub.ai and youtube.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Listenhub is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.3k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Listenhub: Media Gen (clacky-ai/openclacky, 1.2k stars), Youtube Thumbnail (hassancs91/claude-youtube-editor, 328 stars), Qwen Edit (digitalsamba/claude-code-video-toolkit, 2.2k stars) and Make Tsx (hassancs91/claude-youtube-editor, 328 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.