Client Letter
anthropics/claude-for-legal
Routine client correspondence from templates — appointment confirmations, document requests, brief "we filed it" updates.
The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software.
$ npx skills add LeoYeAI/openclaw-master-skills --skill free-youtube-video-editor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills free-youtube-video-editor --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-youtube-video-editor .claude/skills/free-youtube-video-editor && 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-youtube-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-youtube-video-editor into .claude/skills/free-youtube-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-youtube-video-editor", 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-youtube-video-editorType 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-youtube-video-editor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills free-youtube-video-editor --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-youtube-video-editor .agents/skills/free-youtube-video-editor && 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-youtube-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-youtube-video-editor into .agents/skills/free-youtube-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-youtube-video-editor", 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-youtube-video-editor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills free-youtube-video-editor --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-youtube-video-editor .cursor/skills/free-youtube-video-editor && 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-youtube-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-youtube-video-editor into .cursor/skills/free-youtube-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-youtube-video-editor", 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-youtube-video-editor--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-youtube-video-editor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills free-youtube-video-editor --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-youtube-video-editor .gemini/skills/free-youtube-video-editor && 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-youtube-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-youtube-video-editor into .gemini/skills/free-youtube-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-youtube-video-editor", 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-youtube-video-editorInstalls 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-youtube-video-editor -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-youtube-video-editor .github/skills/free-youtube-video-editor && 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-youtube-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-youtube-video-editor into .github/skills/free-youtube-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-youtube-video-editor", 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-youtube-video-editor -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-youtube-video-editor --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-youtube-video-editor .opencode/skills/free-youtube-video-editor && 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-youtube-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/free-youtube-video-editor into .opencode/skills/free-youtube-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "free-youtube-video-editor", 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-youtube-video-editorThe free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software.
Free Youtube Video Editor is an agent skill from LeoYeAI/openclaw-master-skills. The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software. Upload your raw footage in mp4, mov, avi, webm, or mkv format and describe your edits in plain language — no timelines, no keyframes. Built for solo creators, educators, and small channels who need fast turnaround on talking-head videos, tutorials, vlogs, and short-form content. Supports mp4, mov, avi, webm, and mkv.
Its SKILL.md is about 4.4k 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 Writing & Content, covering Plain language and style rules. 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.
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 Youtube Video Editor loads about 4.4k tokens when it runs. Until then it costs about 135 tokens; SKILL.md has 1,913 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). 1,913 words, ~4,437 tokens.
.claude/skills/free-youtube-video-editor/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:
🎵 Welcome! I can youtube video editor for you. Share a video file or tell me your idea!
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: $CLIENT_ID"token as NEMO_TOKEN for this session. You get 100 free credits.Let the user know briefly: "Setting things up… ready!" then proceed with their request.
Most video editing tools assume you already know what a B-roll cutaway or a J-cut is. The free-youtube-video-editor skill flips that assumption entirely. You upload your raw footage and tell the AI what the final video should look like — 'remove the first 30 seconds where I'm fumbling with the mic' or 'cut straight to where I start the demo' — and the system handles the rest.
Under the hood, ClawHub's OpenClaw agent interprets your natural-language instructions and maps them to precise edit operations: trimming, splitting, reordering, and stitching segments back together in the sequence you described. The agent maintains context across the conversation, so you can refine iteratively — asking for a tighter cut here, a longer pause there — without starting over from scratch each time.
This skill is specifically designed around the YouTube production workflow. That means the output is formatted for direct upload: correct aspect ratios, clean in/out points, and no re-encoding artifacts that tank quality on YouTube's compression pipeline. Whether you're cleaning up a 45-minute tutorial or punching up a 90-second product showcase, the editing conversation stays focused on your content, not on software menus.
| Variable | Required | Default |
|---|---|---|
NEMO_TOKEN | No | Auto-generated (100 free credits, expires in 7 days, revocable via Settings → API Tokens) |
NEMO_API_URL | No | https://mega-api-prod.nemovideo.ai |
NEMO_WEB_URL | No | https://nemovideo.com |
NEMO_CLIENT_ID | No | Auto-generated UUID, persisted to ~/.config/nemovideo/client_id (UUID only, no secrets) |
SKILL_SOURCE | No | Auto-detected from install path, fallback unknown |
If NEMO_TOKEN is not set, get one (requires X-Client-Id header):
# Generate or read persisted Client-Id
CLIENT_ID="${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 endpoint handles 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 editing actions can occur, a session must be initialized with the backend. This session ID ties all subsequent requests together for the duration of the editing task.
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 to the editing backend are transmitted as Server-Sent Events over a persistent 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 editing operations complete without returning any text in the response body. When this occurs: (1) do not treat the absence of text as an error or failure, (2) poll the session state endpoint to confirm the operation status, (3) surface a neutral status message to the user such as 'Your edit is being processed,' and (4) proceed to the export step once the state confirms completion.
Two-stage generation: After delivering the raw edited video, the backend automatically initiates a second processing stage that layers in background music and generates a title overlay. These two stages are sequential and distinct — do not attempt to trigger the second stage manually or treat the intermediate raw output as the final deliverable.
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 video files submitted directly by the user and returns a file reference ID for use in subsequent 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 edit operation to confirm the user has a sufficient balance to proceed.
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.
Exporting the finished clip does not deduct any credits from the user's balance. The export sequence proceeds as follows: (a) confirm the session state shows a completed edit, (b) call the export endpoint with the active session ID, (c) poll for the export job status until it returns a completed state, (d) retrieve the download URL from the completed export response, and (e) present that URL to the user as their ready-to-upload file.
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 recovery steps: (1) immediately attempt to re-establish the SSE connection using the existing session ID rather than creating a new session, (2) query the session state endpoint to determine how much of the previous operation completed before the disconnect, (3) if the operation was already finished, proceed directly to export without replaying the edit request, (4) if the operation was still in progress, resume listening on the reconnected stream and await the completion event, and (5) notify the user of the brief interruption only if the reconnection attempt exceeds a reasonable timeout threshold.
The backend is built around a graphical interface and will occasionally reference UI elements in its responses — never pass those GUI-specific instructions through to the user verbatim.
| 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 what the user wants to accomplish before initiating any API call, especially for destructive operations like trimming or cutting. • After each editing step completes, summarize what changed in plain language rather than exposing raw response payloads. • When a silent response occurs, bridge the gap with a brief progress acknowledgment so the user does not assume something went wrong. • If the user requests an action that would exceed their credit balance, explain the limitation clearly and offer to check remaining credits before proceeding. • Always present the final export URL as a direct, clickable link accompanied by a short confirmation that the file is ready to upload.
• Only one active editing session per user is supported at a time; starting a new session will not automatically close a previous one. • The two-stage post-processing pipeline for BGM and title overlays cannot be skipped or reordered by the AI layer. • Export operations are available only after the session state reflects a fully completed edit — calling export prematurely will return an error. • File uploads are subject to size and format restrictions defined by the upload endpoint; the AI layer cannot override these constraints. • Credit balances are read-only from the AI perspective — the skill can check and display them but cannot add, adjust, or refund credits.
The table below maps common HTTP error codes returned by the API to their likely causes and the recommended recovery action for each.
| 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 that the API version specified in the request header matches the version this skill was certified against before making any calls. Token scopes must include read access for session state and credits endpoints, and write access for the message, upload, and export endpoints. Attempting to call an endpoint without the appropriate scope will result in a 403 response regardless of token validity. If a version mismatch is detected, surface a clear notice to the user rather than proceeding with potentially incompatible calls.
© 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-youtube-video-editor of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Free Youtube Video Editor 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 Youtube Video Editor this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.4k | Automated safety check: Pass | MIT | |
| Client Letteranthropics/claude-for-legal | 9.6k | 3 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Statusanthropics/claude-for-legal | 9.6k | 3 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Jev Question Translatorlawve-ai/awesome-legal-skills | 847 | — | ~6.9k | Automated safety check: Pass | Apache-2.0 | |
| Asd Ste100danyuchn/asd-ste100-skill | 4.3k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Technical Writing Standardcursor/plugins | 11k | 10 repos | ~2.3k | Automated safety check: Pass | None |
anthropics/claude-for-legal
Routine client correspondence from templates — appointment confirmations, document requests, brief "we filed it" updates.
anthropics/claude-for-legal
Case status summary by audience — client-facing (plain language), internal (for the professor), or court-ready (formal caption format per local rules).
lawve-ai/awesome-legal-skills
Turns a legal question, a set of draft questions, or source material such as a statute, jury instruction, rubric, contract checklist, or coding manual into a battery of narrow questions that…
danyuchn/asd-ste100-skill
A skill your agent uses when English text must be parsed without a human to resolve ambiguity — tool descriptions, error messages, inter-agent instructions, system prompts, status reports — and…
cursor/plugins
Applies four layers of technical-writing rules to docs, RFCs, readmes, PR descriptions and commit messages so a tired engineer follows them on the first read.
DietrichGebert/ponytail
Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split.
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.
Works with
Categories
The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software. Free Youtube Video Editor is an agent skill from LeoYeAI/openclaw-master-skills. The free-youtube-video-editor skill on ClawHub lets creators trim dead air, cut between scenes, merge segments, and export YouTube-optimized clips without spending a dollar on desktop software.
Free Youtube Video Editor fits situations like: tasks that involve Plain language and style rules.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill free-youtube-video-editor -a claude-code`. Or copy the skill folder (skills/free-youtube-video-editor in LeoYeAI/openclaw-master-skills) into .claude/skills/free-youtube-video-editor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill free-youtube-video-editor -a codex`. Or copy the skill folder (skills/free-youtube-video-editor in LeoYeAI/openclaw-master-skills) into .agents/skills/free-youtube-video-editor 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-youtube-video-editor -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-youtube-video-editor, .gemini/skills/free-youtube-video-editor, .github/skills/free-youtube-video-editor and .opencode/skills/free-youtube-video-editor in your project.
Going by SKILL.md and its folder, Free Youtube Video Editor 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 Youtube Video Editor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.4k tokens (SKILL.md is roughly 18k 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 Youtube Video Editor: Client Letter (anthropics/claude-for-legal, 9.6k stars), Status (anthropics/claude-for-legal, 9.6k stars), Jev Question Translator (lawve-ai/awesome-legal-skills, 847 stars) and Asd Ste100 (danyuchn/asd-ste100-skill, 4.3k 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.