modal-deploy
Skill16 starsChanged 9 months agoMITView on GitHub
Deploy execution scripts to Modal cloud. Use when user asks to deploy to Modal, push code to cloud, or update Modal functions.
- Reads credentials
3 other projects use a version of this, 3 of them edited.
Adopted by
Most recently taken up by
- MohamedEssam0-0/claude-skillsedited, first seen Oct 11, 2026
- phuongdo/claude-skillsedited, first seen Feb 17, 2026
- nickjwells/skills-workspaceedited, first seen Feb 1, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 3
- nickjwells/skills-workspace★ 2891% same
- MohamedEssam0-0/claude-skills★ 013% same
- phuongdo/claude-skills★ 091% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository39 other files it gives its agents.
- add-webhookSkill
- aws-production-deploySkill
- build-in-public-youtubeSkill
- casualize-namesSkill
- classify-leadsSkill
- create-proposalSkill
- cross-niche-outliersSkill
- design-websiteSkill
- euron-qaSkill
- excalidraw-diagramSkill
- excalidraw-visualsSkill
- generate-reportSkill
- ghost-browserSkill
- gmail-inboxSkill
- gmail-labelSkill
- gmaps-leadsSkill
- image-to-videoSkill
- instantly-autoreplySkill
- instantly-campaignsSkill
- linkedin-carousel-handwrittenSkill
- literature-researchSkill
- local-serverSkill
- mac-controlSkill
- Nano Banana 2 Image Generation MasterSkill
- onboarding-kickoffSkill
- pan-3d-transitionSkill
- recreate-thumbnailsSkill
- scrape-leadsSkill
- send-telegramSkill
- skill-builderSkill
- skool-monitorSkill
- skool-ragSkill
- thumbnail-generatorSkill
- title-variantsSkill
- upwork-applySkill
- video-editSkill
- welcome-emailSkill
- whisper-voiceSkill
- youtube-outliersSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 29
Add function to execution/modal_webhook.py
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Modal Cloud Deployment
Goal
Deploy execution scripts to Modal for serverless cloud execution.
Deploy Command
modal deploy execution/modal_webhook.pyKey Endpoints
| Endpoint | Purpose |
directive | Execute a directive by slug |
list_webhooks | List available webhooks |
general_agent | Run general agent tasks |
scrape_leads | Lead scraping endpoint |
generate_proposal | Proposal generation |
youtube_outliers | YouTube outlier scraping |
Adding New Functions
- Add function to
execution/modal_webhook.py - Decorate with
@app.function()or@app.function(schedule=modal.Cron(...)) - Deploy:
modal deploy execution/modal_webhook.py
Environment
Modal secrets are configured in the Modal dashboard, not local .env.
Cron Jobs
@app.function(schedule=modal.Cron("0 * * * *")) # Every hour
def my_scheduled_function():
passSchema
Inputs
| Name | Type | Required | Description |
file | file_path | No | File to deploy (default: execution/modal_webhook.py) |
Outputs
| Name | Type | Description |
deployed | boolean | Whether deployment succeeded |
endpoints | array | List of deployed endpoint URLs |
Credentials
| Name | Source |
MODAL_TOKEN_ID | Modal dashboard |
MODAL_TOKEN_SECRET | Modal dashboard |
Composable With
Skills that chain well with this one: add-webhook
Cost
Modal compute (pay-per-use)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.