AI Presenter Video
NousResearch/hermes-agent
Produces a presenter-led video from a topic or script plus one authorized presenter image, with captions, lip-sync checks and acceptance reports.
Manage Cloudinary media: upload images and videos, list and inspect assets, update metadata, delete assets, and check plan usage.
MITAuto-check passed
Install Cloudinary
$ npx skills add Anil-matcha/awesome-muse-connectors --skill cloudinary -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors cloudinary --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/cloudinary .claude/skills/cloudinary && 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 "cloudinary" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cloudinary into .claude/skills/cloudinary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudinary", 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/cloudinaryType 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 cloudinary -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors cloudinary --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/cloudinary .agents/skills/cloudinary && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cloudinary" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cloudinary into .agents/skills/cloudinary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudinary", 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 cloudinary -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors cloudinary --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/cloudinary .cursor/skills/cloudinary && 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 "cloudinary" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cloudinary into .cursor/skills/cloudinary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudinary", 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/cloudinary--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 cloudinary -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors cloudinary --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/cloudinary .gemini/skills/cloudinary && 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 "cloudinary" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cloudinary into .gemini/skills/cloudinary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudinary", 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 cloudinaryInstalls 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 cloudinary -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/cloudinary .github/skills/cloudinary && 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 "cloudinary" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cloudinary into .github/skills/cloudinary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudinary", 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 cloudinary -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 cloudinary --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/cloudinary .opencode/skills/cloudinary && 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 "cloudinary" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/cloudinary into .opencode/skills/cloudinary/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cloudinary", 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.
Facts
- Skill name
cloudinary- GitHub stars
- 1.3k
- Token cost
- ~862 tokens
- SKILL.md length
- 237 words
- Files
- 2
- Skills in repo
- 153
- Repo updated
- First seen
- Licence
- MIT
At a glance
Manage Cloudinary media: upload images and videos, list and inspect assets, update metadata, delete assets, and check plan usage.
- Works in 3 steps: The free plan is credit-based across… → Confirm with the user before uploading… → Never exfiltrate the credential: the CLI…
- Phrases: cloudinary
- SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
- Runs Python scripts from its folder; reaches api.cloudinary.com
What it does
Cloudinary is an agent skill from Anil-matcha/awesome-muse-connectors. Manage Cloudinary media: upload images and videos, list and inspect assets, update metadata, delete assets, and check plan usage. Trigger phrases: cloudinary, upload image, cloudinary usage.
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/cloudinary.py`).
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.
When your agent uses it
- Phrases: cloudinary
- Cloudinary usage
Example prompts
- “/cloudinary”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- The free plan is credit-based across storage/bandwidth/transformations: run usage before heavy work and stay inside the plan.
- Confirm with the user before uploading (it consumes bandwidth/transformation quota) and before deleting (deletes are permanent).
- Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key, secret, or cloud name values.
What it can do on your machine
Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.cloudinary.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Cloudinary loads about 862 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 237 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 237 words, ~862 tokens.
Download SKILL.mdSave it as
.claude/skills/cloudinary/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- cloudinary
- description
- Manage Cloudinary media: upload images and videos, list and inspect assets, update metadata, delete assets, and check plan usage. Trigger phrases: cloudinary, upload image, cloudinary usage.
- metadata.includeInPrompt
- true
- tagline
- Manage media on Cloudinary through the Upload and Admin APIs: upload images and videos, list and inspect assets, update metadata and tags, delete assets, and…
- catalog_auth
- cloud_name + API key + secret via the secure credential flow
- catalog_hosts
- api.cloudinary.com
Cloudinary
Purpose
Manage media on Cloudinary through the Upload and Admin APIs: upload images and videos, list and inspect assets, update metadata and tags, delete assets, and check plan usage (credits, storage, bandwidth, transformations).
Tooling
All commands go through bin/cloudinary.py:
bin/cloudinary.py auth # verify the connection (also shows plan usage)
bin/cloudinary.py usage # plan usage: credits, storage, bandwidth, transformations
bin/cloudinary.py upload --file ./photo.jpg # upload an image
bin/cloudinary.py upload --file ./clip.mp4 --resource-type video # upload a video
bin/cloudinary.py upload --file ./photo.jpg --folder products # upload into a folder
bin/cloudinary.py list --prefix products/ --max-results 20 # list image assets
bin/cloudinary.py get --public-id products/photo1 # asset details
bin/cloudinary.py update --public-id products/photo1 --data '{"tags":["summer"],"context":{"caption":"Beach"}}'
# update metadata/tags (raw JSON body, per Cloudinary docs)
bin/cloudinary.py delete --public-id products/photo1 # delete an assetAuth
- Provider id:
cloudinary(credential is collected ascustom.cloudinary) - Collection: via the secure credential flow (
credentials.request_api_access) as a single colon-joined valuecloud_name:api_key:api_secret; the three parts come from the Cloudinary Console at Settings, API Keys. The collection step stores them as three named entries (cloud_name,api_key,api_secret) undercustom.cloudinary; the CLI splits them at use:cloud_namegoes into the request host, andapi_key:api_secretgo into the HTTP Basic auth header. - Required scopes: n/a (account API key pair)
- Allowed hosts:
api.cloudinary.com - Status check:
bin/cloudinary.py auth - Wire format (verbatim from Cloudinary's docs):
Authorization: Basic base64(api_key:api_secret)againsthttps://api.cloudinary.com/v1_1/{cloud_name}.
Operating Rules
- The free plan is credit-based across storage/bandwidth/transformations: run
usagebefore heavy work and stay inside the plan. - Confirm with the user before uploading (it consumes bandwidth/transformation quota) and before deleting (deletes are permanent).
- Never exfiltrate the credential: the CLI only ever handles surrogates. Do not print, log, or transmit the key, secret, or cloud name values.
Files
- SKILL.md
- bin/cloudinary.py
Maturity
🧪 Draft: written from Cloudinary's public Upload and Admin API docs; not yet live-tested end to end. The three-part credential split (single collected value, split into entries at use) is the design assumption to re-verify on first live run.
© 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
Files
SKILL.md and 1 other file in connectors/cloudinary of Anil-matcha/awesome-muse-connectors.
- SKILL.md
- bin/cloudinary.py
Open the folder on GitHubat commit d6dc5d8
Compare with similar skills
Cloudinary 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 |
|---|---|---|---|---|---|---|
| Cloudinary this skillAnil-matcha/awesome-muse-connectors | 1.3k | — | ~862 | Automated safety check: Pass | MIT | |
| AI Presenter VideoNousResearch/hermes-agent | 252k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Videothedaviddias/Front-End-Checklist | 74k | — | ~562 | Automated safety check: Pass | MIT | |
| MoneyPrinterTurbo Video Generatorharry0703/MoneyPrinterTurbo | 129k | — | ~2.1k | Automated safety check: Warn | MIT | |
| Avatar Videocalesthio/OpenMontage | 65k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Weekly Changelog Videoheygen-com/hyperframes | 58k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Video
thedaviddias/Front-End-Checklist
A skill your agent uses when applies to any page embedding or hosting video content (YouTube, Vimeo, self-hosted).
MoneyPrinterTurbo Video Generator
harry0703/MoneyPrinterTurbo
Installs and runs MoneyPrinterTurbo to turn a topic or script into a finished short video with voice-over, subtitles, stock footage and music.
Avatar Video
calesthio/OpenMontage
Create AI avatar videos with precise control over avatars, voices, scripts, scenes, and backgrounds using HeyGen's v2 API.
Weekly Changelog Video
heygen-com/hyperframes
Turns a weekly changelog markdown file into a branded HyperFrames video with voiceover, animated mock-UI scenes and captions, using fonts, background and scripts bundled in the skill.
Video Content Strategist
alirezarezvani/claude-skills
A skill your agent uses when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing…
More from Anil-matcha/awesome-muse-connectors
All 153 skills in this repoAqara
Anil-matcha/awesome-muse-connectors
Read and control Aqara smart home devices: plugs, switches, lights, AC, locks, curtains, scenes.
Beatoven
Anil-matcha/awesome-muse-connectors
Beatoven.ai royalty-free music generation: compose tracks, poll tasks, download audio, fetch individual stems.
Framer
Anil-matcha/awesome-muse-connectors
Check a Framer project's Server API connection: verify the per-project API key with the official handshake.
Airtable
Anil-matcha/awesome-muse-connectors
List Airtable bases, read table records, and add records. An agent skill from Anil-matcha/awesome-muse-connectors.
Alphavantage
Anil-matcha/awesome-muse-connectors
Stock quotes and daily price history. An agent skill from Anil-matcha/awesome-muse-connectors.
Amadeus
Anil-matcha/awesome-muse-connectors
Search travel with Amadeus: flight offers and prices, airport autocomplete, hotel offers, cheapest dates.
Questions about Cloudinary
What does Cloudinary do?
Manage Cloudinary media: upload images and videos, list and inspect assets, update metadata, delete assets, and check plan usage. Cloudinary is an agent skill from Anil-matcha/awesome-muse-connectors. Manage Cloudinary media: upload images and videos, list and inspect assets, update metadata, delete assets, and check plan usage.
When should I use Cloudinary?
Cloudinary fits situations like: phrases: cloudinary; cloudinary usage.
How do I install Cloudinary in Claude Code?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill cloudinary -a claude-code`. Or copy the skill folder (connectors/cloudinary in Anil-matcha/awesome-muse-connectors) into .claude/skills/cloudinary in your project. Claude Code loads it when a task matches its description.
How do I install Cloudinary in Codex?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill cloudinary -a codex`. Or copy the skill folder (connectors/cloudinary in Anil-matcha/awesome-muse-connectors) into .agents/skills/cloudinary in your project. Codex loads it when a task matches its description.
Can I use Cloudinary in Cursor, Gemini CLI or GitHub Copilot?
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 cloudinary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cloudinary, .gemini/skills/cloudinary, .github/skills/cloudinary and .opencode/skills/cloudinary in your project.
What does Cloudinary need to run?
Going by SKILL.md and its folder, Cloudinary needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Cloudinary access the network?
SKILL.md names 1 domain. In commands or code: api.cloudinary.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Cloudinary safe to install?
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.
What licence does Cloudinary use?
Cloudinary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cloudinary use?
About 862 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Cloudinary?
Skills that share tags, products or a category with Cloudinary: AI Presenter Video (NousResearch/hermes-agent, 252k stars), Video (thedaviddias/Front-End-Checklist, 74k stars), MoneyPrinterTurbo Video Generator (harry0703/MoneyPrinterTurbo, 129k stars) and Avatar Video (calesthio/OpenMontage, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cloudinary?
Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,334 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.