AI Social Media Content
NeverSight/learn-skills.dev
Create AI-powered social media content for TikTok, Instagram, YouTube, Twitter/X.
The free-video-generator-ai skill on ClawHub lets you build, trim, splice, and stylize videos through plain conversation — no timelines, no manual rendering queues.
$ npx skills add LeoYeAI/openclaw-master-skills --skill free-video-generator-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills free-video-generator-ai --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/free-video-generator-ai .claude/skills/free-video-generator-ai && 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 "free-video-generator-ai" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-video-generator-ai into .claude/skills/free-video-generator-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-video-generator-ai", 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/free-video-generator-aiType 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 free-video-generator-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills free-video-generator-ai --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/free-video-generator-ai .agents/skills/free-video-generator-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "free-video-generator-ai" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-video-generator-ai into .agents/skills/free-video-generator-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-video-generator-ai", 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 free-video-generator-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills free-video-generator-ai --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/free-video-generator-ai .cursor/skills/free-video-generator-ai && 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 "free-video-generator-ai" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-video-generator-ai into .cursor/skills/free-video-generator-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-video-generator-ai", 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/free-video-generator-ai--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 free-video-generator-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills free-video-generator-ai --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/free-video-generator-ai .gemini/skills/free-video-generator-ai && 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 "free-video-generator-ai" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-video-generator-ai into .gemini/skills/free-video-generator-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-video-generator-ai", 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 free-video-generator-aiInstalls 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 free-video-generator-ai -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/free-video-generator-ai .github/skills/free-video-generator-ai && 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 "free-video-generator-ai" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-video-generator-ai into .github/skills/free-video-generator-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-video-generator-ai", 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 free-video-generator-ai -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 free-video-generator-ai --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/free-video-generator-ai .opencode/skills/free-video-generator-ai && 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 "free-video-generator-ai" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-video-generator-ai into .opencode/skills/free-video-generator-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-video-generator-ai", 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.
free-video-generator-aiThe free-video-generator-ai skill on ClawHub lets you build, trim, splice, and stylize videos through plain conversation — no timelines, no manual rendering queues.
Free Video Generator AI is an agent skill from LeoYeAI/openclaw-master-skills. The free-video-generator-ai skill on ClawHub lets you build, trim, splice, and stylize videos through plain conversation — no timelines, no manual rendering queues. Describe what you want and the AI assembles it. Ideal for content creators, educators, and small teams who need fast turnaround without subscription costs. Handles mp4, mov, avi, webm, and mkv formats natively.
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).
It sits in Media & Creative, covering AI video generation and Blog and article writing. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
8 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.
Shell commands in SKILL.md call:
curlFrom 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:
mega-api-prod.nemovideo.ainemovideo.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
NEMO_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Free Video Generator AI loads about 4.2k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 1,772 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); files beside SKILL.md are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,772 words, ~4,187 tokens.
.claude/skills/free-video-generator-ai/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.When the user opens this skill or sends their first message, greet them immediately:
⚡ Hey! I'm ready to help you video generator ai. Send me a video file or just tell me what you need!
Try saying:
IMPORTANT: Always greet the user proactively on first contact. Let them know you're setting up while connecting. Always greet the user proactively on first contact.
When the user first interacts, set up the connection:
NEMO_TOKEN env var is set, use it. Otherwise:~/.config/nemovideo/client_id if it exists~/.config/nemovideo/client_idcurl -s -X POST "https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID"token as NEMO_TOKEN for this session. You get 100 free credits.Let the user know briefly: "Setting things up… ready!" then proceed with their request.
Most video tools demand you learn their interface before you create anything useful. The free-video-generator-ai skill flips that model entirely — you describe the output you want in plain language, and the skill handles the construction logic behind the scenes. Whether you need a 30-second product clip, a looping background, or a multi-scene sequence stitched from separate clips, the conversation drives the work.
Under the hood, the OpenClaw agent interprets your instructions as structured tasks, breaking down requests like 'add a fade transition between the second and third clips' or 'export this as a square mp4 for Instagram' into discrete processing steps. The agent tracks context across the conversation, so follow-up edits refine the same project rather than starting fresh each time.
This approach suits creators who iterate quickly — marketers testing ad cuts, teachers assembling lecture clips, or developers prototyping video features without standing up their own pipeline. Because the skill runs through ClawHub's shared infrastructure, there are no per-minute rendering fees or format conversion paywalls. Input and output support covers mp4, mov, avi, webm, and mkv, keeping your existing media library compatible from the first message.
| Variable | Required | Default |
|---|---|---|
NEMO_TOKEN | No | Auto-generated (100 free credits, expires in 7 days, revocable via Settings → API Tokens) |
NEMO_API_URL | No | https://mega-api-prod.nemovideo.ai |
NEMO_WEB_URL | No | https://nemovideo.com |
NEMO_CLIENT_ID | No | Auto-generated UUID, persisted to ~/.config/nemovideo/client_id (UUID only, no secrets) |
SKILL_SOURCE | No | Auto-detected from install path, fallback unknown |
If NEMO_TOKEN is not set, get one (requires X-Client-Id header):
# Generate or read persisted Client-Id
CLIENT_ID="${NEMO_CLIENT_ID:-$(cat ~/.config/nemovideo/client_id 2>/dev/null)}"
if [ -z "$CLIENT_ID" ]; then
CLIENT_ID=$(uuidgen 2>/dev/null || echo "client-$(date +%s)-$RANDOM")
mkdir -p ~/.config/nemovideo & echo "$CLIENT_ID" > ~/.config/nemovideo/client_id
fi
curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token" -H "X-Client-Id: $CLIENT_ID"
# → {"code":0,"data":{"token":"nmv_usr_xxx","credits":100,...}}Save token as NEMO_TOKEN, CLIENT_ID as NEMO_CLIENT_ID. Anonymous: 1 token per client per 7 days; token expires in 7 days and can be revoked at any time via Settings → API Tokens on nemovideo.com. If your token expires, request a new one with the same X-Client-Id.
Local persistence: This skill writes ~/.config/nemovideo/client_id to persist the Client-Id across sessions. This avoids generating a new ID on every request, which would hit the per-IP rate limit quickly (default 10 tokens per 7 days per IP). The file contains only a UUID — no credentials are stored locally.
Use the table below to determine which API endpoint should handle each type of user request.
| 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 | ❌ |
$API = ${NEMO_API_URL:-https://mega-api-prod.nemovideo.ai}, $TOKEN = ${NEMO_TOKEN}, $WEB = ${NEMO_WEB_URL:-https://nemovideo.com}.
Skill attribution variables — do NOT hardcode:
$SKILL_NAME = this file's YAML frontmatter name$SKILL_VERSION = this file's YAML frontmatter version$SKILL_SOURCE = detect at runtime using the first match:SKILL_SOURCE if set~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor)unknownCRITICAL: ALL API requests (including render/export/upload/state/credits) MUST include these headers. Missing them will cause export to fail with 402.
X-Skill-Source: $SKILL_NAME
X-Skill-Version: $SKILL_VERSION
X-Skill-Platform: $SKILL_SOURCEcurl -s -X POST "https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent" \
-H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" \
-d '{"task_name":"project","language":"<lang>"}'
# → {"code":0,"data":{"task_id":"...","session_id":"..."}}Before any other operation can proceed, a session must be established. This session token is required for all subsequent API interactions.
Open in browser: After creating a session, give the user a link to view/edit the task in NemoVideo:
$WEB/workspace/claim?task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE
curl -s -X POST "https://mega-api-prod.nemovideo.ai/run_sse" \
-H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-H "Accept: text/event-stream" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" --max-time 900 \
-d '{"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}}'All conversational messages are transmitted to the backend via a persistent Server-Sent Events connection.
| Event | Action |
|---|---|
| Text response | Apply GUI translation (§4), present to user |
| Tool call/result | Process internally, don't forward |
heartbeat / empty data: | Keep waiting. Every 2 min: "⏳ Still working..." |
| Stream closes | Process final response |
Typical durations: text 5-15s, video generation 100-300s, editing 10-30s.
Timeout: 10 min heartbeats-only → assume timeout. Never re-send during generation (duplicates + double-charge).
Ignore trailing "I encountered a temporary issue" if prior responses were normal.
Approximately 30% of edit operations return no text content in the response. When this occurs: (1) do not treat the empty response as an error, (2) poll the task state endpoint to confirm completion, (3) retrieve the output asset directly, and (4) present the result to the user as if a normal response had been received.
Two-stage generation: After a raw video is produced, the backend automatically triggers a second processing stage that appends background music and an intro title. Both stages must reach a completed state before the final asset is surfaced to the user — do not deliver the raw video from stage one as the finished result.
File upload: curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/upload-video/nemo_agent/me/<sid>" -H "Authorization: Bearer $TOKEN" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -F "files=@/path/to/file"
URL upload: curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/upload-video/nemo_agent/me/<sid>" -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -d '{"urls":["<url>"],"source_type":"url"}'
Use me in the path; backend resolves user from token.
Supported: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
The upload endpoint accepts user-supplied media files that will be referenced in subsequent video generation or editing requests.
curl -s "https://mega-api-prod.nemovideo.ai/api/credits/balance/simple" -H "Authorization: Bearer $TOKEN" \
-H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"
# → {"code":0,"data":{"available":XXX,"frozen":XX,"total":XXX}}Query the credits endpoint before initiating any generation task to confirm the user has a sufficient balance to cover the operation.
curl -s "https://mega-api-prod.nemovideo.ai/api/state/nemo_agent/me/<sid>/latest" -H "Authorization: Bearer $TOKEN" \
-H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"Use me for user in path; backend resolves from token.
Key fields: data.state.draft, data.state.video_infos, data.state.canvas_config, data.state.generated_media.
Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.
Draft ready for export when draft.t exists with at least one track with non-empty sg.
Track summary format:
Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)Export does NOT cost credits. Only generation/editing consumes credits.
Triggering an export does not deduct credits from the user's balance. The export sequence is as follows: (a) call the export endpoint with the completed project ID, (b) poll until the export job reaches a finished state, (c) retrieve the download URL from the response, (d) verify the URL is accessible, and (e) present the link to the user for download or playback.
b) Submit: curl -s -X POST "https://mega-api-prod.nemovideo.ai/api/render/proxy/lambda" -H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE" -d '{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}'
Note: sessionId is camelCase (exception). On failure → new id, retry once.
c) Poll (every 30s, max 10 polls): curl -s "https://mega-api-prod.nemovideo.ai/api/render/proxy/lambda/<id>" -H "Authorization: Bearer $TOKEN" -H "X-Skill-Source: $SKILL_NAME" -H "X-Skill-Version: $SKILL_VERSION" -H "X-Skill-Platform: $SKILL_SOURCE"
Status at top-level status: pending → processing → completed / failed. Download URL at output.url.
d) Download from output.url → send to user. Fallback: https://mega-api-prod.nemovideo.ai/api/render/proxy/<id>/download.
e) When delivering the video, always also give the task detail link: $WEB/workspace/claim?task={task_id}&session={session_id}&skill_name=$SKILL_NAME&skill_version=$SKILL_VERSION&skill_source=$SKILL_SOURCE
Progress messages: start "⏳ Rendering ~30s" → "⏳ 50%" → "✅ Video ready!" + file + task detail link.
If the SSE stream drops unexpectedly, follow these steps: (1) capture the last known task ID before the connection was lost; (2) wait a minimum of three seconds before attempting to reconnect to avoid flooding the server; (3) re-establish the SSE connection using the original session token; (4) resume polling the task state endpoint using the captured task ID to determine current progress; (5) once a terminal state is confirmed, deliver the result to the user without restarting the task.
The backend is designed with the assumption that a graphical interface is present, so GUI-specific instructions or interface element references must never be forwarded verbatim to the user.
| Backend says | You do |
|---|---|
| "click [button]" / "点击" | Execute via API |
| "open [panel]" / "打开" | Show state via §3.4 |
| "drag/drop" / "拖拽" | Send edit via SSE |
| "preview in timeline" | Show track summary |
| "Export button" / "导出" | Execute §3.5 |
| "check account/billing" | Check §3.3 |
Keep content descriptions. Strip GUI actions.
• Confirm the user's intent and required inputs before initiating any long-running task to avoid wasted credits. • Provide incremental progress updates during generation so the user is aware the request is being processed. • When a task completes, summarize what was produced before presenting the download link. • If the user requests a change immediately after delivery, check whether the previous session is still valid before opening a new one. • Always translate technical status codes into plain, friendly language before displaying them to the user.
• Video generation tasks are asynchronous and may take several minutes; synchronous responses are not supported for these operations. • A single session token cannot be shared across multiple concurrent generation requests. • Uploaded files must conform to the accepted format and size limits defined by the upload endpoint; oversized or unsupported files will be rejected. • Credit balances are read-only through the API and cannot be topped up programmatically. • SSE connections are subject to server-side timeout and must be re-established if idle for too long.
The table below maps each error code returned by the API to its likely cause and the appropriate recovery action.
| Code | Meaning | Action |
|---|---|---|
| 0 | Success | Continue |
| 1001 | Bad/expired token | Re-auth via anonymous-token (tokens expire after 7 days) |
| 1002 | Session not found | New session §3.0 |
| 2001 | No credits | Anonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up at nemovideo.ai" |
| 4001 | Unsupported file | Show supported formats |
| 4002 | File too large | Suggest compress/trim |
| 400 | Missing X-Client-Id | Generate Client-Id and retry (see §1) |
| 402 | Free plan export blocked | Subscription tier issue, NOT credits. "Register at nemovideo.ai to unlock export." |
| 429 | Rate limit (1 token/client/7 days) | Retry in 30s once |
Common: no video → generate first; render fail → retry new id; SSE timeout → §3.6; silent edit → §3.1 fallback.
Always verify the API version header matches the supported version before sending requests, as endpoints may behave differently across versions. The access token must include all required scopes for the operations being performed — missing scopes will result in authorization errors that cannot be resolved by retrying the request.
© 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 1 other file in skills/free-video-generator-ai of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Free Video Generator AI 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 |
|---|---|---|---|---|---|---|
| Free Video Generator AI this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.2k | Automated safety check: Pass | MIT | |
| AI Social Media ContentNeverSight/learn-skills.dev | 217 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Content Create Hero Imageprisma/web | 1.1k | — | ~6.9k | Automated safety check: Pass | None | |
| Content Ideasbradautomates/content-ideas | 133 | — | ~5.4k | Automated safety check: Notes | MIT | |
| Seedance Interview1370998960-del/https-github.com-Emily2040-seedance-2.0 | 241 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Seedance Brand Storybeshuaxian/higgsfield-seedance2-jineng | 952 | — | ~14k | Automated safety check: Pass | None |
NeverSight/learn-skills.dev
Create AI-powered social media content for TikTok, Instagram, YouTube, Twitter/X.
prisma/web
A skill your agent uses when the operator wants a hero or meta image for a Prisma blog post; asks to create or generate a blog hero, cover, social card, Open Graph, or YouTube image; mentions cover…
bradautomates/content-ideas
Your For You page for content creators. An agent skill from bradautomates/content-ideas.
1370998960-del/https-github.com-Emily2040-seedance-2.0
This skill should be used when the user has a vague Seedance 2.0 video idea and asks for creative guidance, story development, scene planning, a director interview, or help turning an undeveloped…
beshuaxian/higgsfield-seedance2-jineng
Generate brand storytelling and narrative video prompts for Seedance 2.0 on Higgsfield.
kangarooking/director-skills
A skill your agent uses when the user wants to design, rewrite, refine, or vary emotional acting prompts for live-action AI video characters.
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.
Categories
The free-video-generator-ai skill on ClawHub lets you build, trim, splice, and stylize videos through plain conversation — no timelines, no manual rendering queues. Free Video Generator AI is an agent skill from LeoYeAI/openclaw-master-skills. The free-video-generator-ai skill on ClawHub lets you build, trim, splice, and stylize videos through plain conversation — no timelines, no manual rendering queues.
Free Video Generator AI fits situations like: tasks that involve AI video generation; tasks that involve Blog and article writing.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill free-video-generator-ai -a claude-code`. Or copy the skill folder (skills/free-video-generator-ai in LeoYeAI/openclaw-master-skills) into .claude/skills/free-video-generator-ai in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill free-video-generator-ai -a codex`. Or copy the skill folder (skills/free-video-generator-ai in LeoYeAI/openclaw-master-skills) into .agents/skills/free-video-generator-ai 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 free-video-generator-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/free-video-generator-ai, .gemini/skills/free-video-generator-ai, .github/skills/free-video-generator-ai and .opencode/skills/free-video-generator-ai in your project.
Going by SKILL.md and its folder, Free Video Generator AI needs the command-line tools its instructions call (curl) and credentials named NEMO_TOKEN. Our summary lists: A credential in NEMO_TOKEN.
SKILL.md names 2 domains. In commands or code: mega-api-prod.nemovideo.ai and nemovideo.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. Review the folder before installing.
Free Video Generator AI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k 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 Free Video Generator AI: AI Social Media Content (NeverSight/learn-skills.dev, 217 stars), Content Create Hero Image (prisma/web, 1.1k stars), Content Ideas (bradautomates/content-ideas, 133 stars) and Seedance Interview (1370998960-del/https-github.com-Emily2040-seedance-2.0, 241 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.