Fal AI Generation
witnesstodark/mr-mak-workspace
Generate and edit images, create video, audio, 3D assets or material maps through fal.ai MCP or the Python queue client.
Remove video backgrounds with VEED's direct developer API: standard, fast and green-screen endpoints.
$ npx skills add Anil-matcha/awesome-muse-connectors --skill veed -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors veed --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/veed .claude/skills/veed && 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 "veed" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/veed into .claude/skills/veed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veed", 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/Anil-matcha/awesome-muse-connectors/tree/main/connectors/veedType 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 Anil-matcha/awesome-muse-connectors --skill veed -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors veed --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/veed .agents/skills/veed && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "veed" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/veed into .agents/skills/veed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veed", 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 Anil-matcha/awesome-muse-connectors --skill veed -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors veed --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/veed .cursor/skills/veed && 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 "veed" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/veed into .cursor/skills/veed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veed", 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/Anil-matcha/awesome-muse-connectors.git --path connectors/veed--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 Anil-matcha/awesome-muse-connectors --skill veed -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors veed --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/veed .gemini/skills/veed && 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 "veed" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/veed into .gemini/skills/veed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veed", 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 Anil-matcha/awesome-muse-connectors veedInstalls 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 Anil-matcha/awesome-muse-connectors --skill veed -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/veed .github/skills/veed && 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 "veed" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/veed into .github/skills/veed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veed", 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 Anil-matcha/awesome-muse-connectors --skill veed -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors veed --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/veed .opencode/skills/veed && 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 "veed" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/veed into .opencode/skills/veed/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "veed", 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.
veedRemove video backgrounds with VEED's direct developer API: standard, fast and green-screen endpoints.
Veed is an agent skill from Anil-matcha/awesome-muse-connectors. Remove video backgrounds with VEED's direct developer API: standard, fast and green-screen endpoints. Trigger phrases: veed, remove video background, background removal, transparent video.
Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/veed.py`).
It sits in Media & Creative, covering Image editing. It works with fal. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d6dc5d8. 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 script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Veed loads about 926 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 337 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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 337 words, ~926 tokens.
.claude/skills/veed/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Remove backgrounds from video with VEED's direct developer API (POST /v1/video/background-remove): standard quality, fast throughput and green-screen chroma-key with spill suppression. Outputs are VP9-with-alpha or H.264 RGB+alpha, up to 4K.
VEED also serves lip-sync and talking-video models through fal.ai (veed/lipsync, veed/fabric-1.0); those are covered by the separate fal-ai connector.
All commands go through bin/veed.py. --api-host is required on every command (see Auth):
bin/veed.py auth --api-host https://<VEED_API_HOST> # check readiness (no free status endpoint)
bin/veed.py background-remove --api-host https://<VEED_API_HOST> \
--file ./talking-head.mp4 --endpoint standard --output-format vp9_alpha # confirm first: metered
bin/veed.py background-remove --api-host https://<VEED_API_HOST> \
--file ./bulk.mp4 --endpoint fast --output-format h264_rgba --resolution 4k
bin/veed.py background-remove --api-host https://<VEED_API_HOST> \
--file ./greenscreen.mp4 --endpoint green_screen --output-format vp9_alpha \
--webhook-url "https://..." # async completion for long jobsThe API returns a time-limited signed output_url; download the processed video promptly instead of storing the URL. Long jobs can run async with a webhook callback.
veed (credential is collected as custom.veed)credentials.request_api_access); VEED's developer docs describe how to obtain oneAuthorization: Bearer <API_KEY> (the CLI builds this from the credential surrogate)--api-host (the credential is only ever sent there)bin/veed.py auth --api-host <host> (VEED has no free status endpoint, so this only confirms the credential is stored and the host is set)Open item (unresolved, never guessed): VEED publishes the path POST /v1/video/background-remove but no base host in its public developer docs (veed.io/api currently routes new developers to fal.ai keys). The CLI refuses to run without an explicit --api-host; confirm the host from VEED's developer documentation or your VEED API dashboard before use.
background-remove: usage is metered per second/minute/frame with no subscription, so each call has a real cost. Name the file, the endpoint and the output format.bin/veed.py). Do not print, log, or transmit the key value.Draft: written from VEED's published API docs; not live-tested end-to-end, and the direct API base host is an unresolved open item (see Auth). The fal-hosted VEED models are intentionally out of scope here.
© Anil-matcha, 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 connectors/veed of Anil-matcha/awesome-muse-connectors.
Open the folder on GitHubat commit d6dc5d8
Veed 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 |
|---|---|---|---|---|---|---|
| Veed this skillAnil-matcha/awesome-muse-connectors | 1.3k | — | ~926 | Automated safety check: Pass | MIT | |
| Fal AI Generationwitnesstodark/mr-mak-workspace | 343 | — | ~1k | Automated safety check: Notes | MIT | |
| Character Design with genmediafal-ai-community/skills | 250 | — | ~1.3k | Automated safety check: Pass | None | |
| Fal UpscaleCraftOS-dev/CraftBot | 392 | — | ~953 | Automated safety check: Pass | MIT | |
| Image Generation Gatewayscalesthio/generative-media-skills | 193 | — | ~20k | Automated safety check: Pass | MIT | |
| Fal Image Editnexu-io/open-design | 100k | — | ~301 | Automated safety check: Pass | Apache-2.0 |
witnesstodark/mr-mak-workspace
Generate and edit images, create video, audio, 3D assets or material maps through fal.ai MCP or the Python queue client.
fal-ai-community/skills
Builds consistent characters, reference and expression sheets, outfit variations and character-to-video shots with the genmedia CLI while keeping identity stable.
CraftOS-dev/CraftBot
Upscale and enhance image resolution using AI. An agent skill from CraftOS-dev/CraftBot.
calesthio/generative-media-skills
Select, integrate, and operate multi-model image-generation gateways with model-specific schema discovery, version policy, asynchronous jobs, webhooks, spend approval, safe inputs and artifacts…
nexu-io/open-design
AI-powered image editing with style transfer, background removal, object removal, and inpainting via fal.ai hosted models.
nexu-io/open-design
Upscale and enhance image and video resolution using AI super-resolution models hosted on fal.ai.
Anil-matcha/awesome-muse-connectors
List Airtable bases, read table records, and add records. An agent skill from Anil-matcha/awesome-muse-connectors.
Anil-matcha/awesome-muse-connectors
Stock quotes and daily price history. An agent skill from Anil-matcha/awesome-muse-connectors.
Anil-matcha/awesome-muse-connectors
Search travel with Amadeus: flight offers and prices, airport autocomplete, hotel offers, cheapest dates.
Anil-matcha/awesome-muse-connectors
Search B2B contacts with Apollo.io: find people by title and company, enrich contacts and companies.
Anil-matcha/awesome-muse-connectors
Read and control Aqara smart home devices: plugs, switches, lights, AC, locks, curtains, scenes.
Anil-matcha/awesome-muse-connectors
Read and manage Asana tasks: my tasks, task details, create tasks.
Works with
Categories
Remove video backgrounds with VEED's direct developer API: standard, fast and green-screen endpoints. Veed is an agent skill from Anil-matcha/awesome-muse-connectors. Remove video backgrounds with VEED's direct developer API: standard, fast and green-screen endpoints.
Veed fits situations like: remove video background; background removal; transparent video.
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill veed -a claude-code`. Or copy the skill folder (connectors/veed in Anil-matcha/awesome-muse-connectors) into .claude/skills/veed in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill veed -a codex`. Or copy the skill folder (connectors/veed in Anil-matcha/awesome-muse-connectors) into .agents/skills/veed 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 Anil-matcha/awesome-muse-connectors --skill veed -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/veed, .gemini/skills/veed, .github/skills/veed and .opencode/skills/veed in your project.
Going by SKILL.md and its folder, Veed needs Python for the scripts in its folder and credentials named API_KEY. Our summary lists: Python 3; A credential in API_KEY.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Veed is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 926 tokens (SKILL.md is roughly 3.7k 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 Veed: Fal AI Generation (witnesstodark/mr-mak-workspace, 343 stars), Character Design with genmedia (fal-ai-community/skills, 250 stars), Fal Upscale (CraftOS-dev/CraftBot, 392 stars) and Image Generation Gateways (calesthio/generative-media-skills, 193 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.
Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.