According to AlphaMoat, as of 2026-09, Deploy has 4,441 downloads and 3 stars — ranked #2,190 of 5,078 AI skills overall, and #123 of 264 in IT Ops & Security.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 120 | 4.4K | 3 | - |
| SkillHub ↗ | 117 | 4.0K | 3 | — |
Platforms count differently and update at different times.
The primary emphasizes backward-compatible migrations, adding nullable columns before backfills, planning rollback for each migration, and watching error rates and key metrics after a release. This skill provides guidance only; it does not execute commands or access systems. Before execution, review commands and plans against the target environment and verify secret handling, migration compatibility, rollback steps, and monitoring.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 4.4K | — | 3 |
| 2026-08 | 4.2K | +9.9% | 3 |
| 2026-07 | 3.9K | +16.6% | 3 |
| 2026-06 | 3.3K | +8.1% | 3 |
| 2026-05 | 3.1K | — | 3 |
| 2026-03 | 2.1K | — | 3 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
---
name: Deploy
description: Ship applications reliably with CI/CD, rollback strategies, and zero-downtime deployment patterns.
metadata: {"clawdbot":{"emoji":"🚀","os":["linux","darwin","win32"]}}
---
# Deployment Rules
## Pre-Deploy Checklist
- Tests passing in CI — never deploy with failing tests- Environment variables set in target — missing secrets cause silent failures - Database migrations run before code deploy — new code expecting new schema fails - Rollback plan ready — know exactly how to revert before you need to ## Deployment Strategies - **Rolling**: update instances one by one — safe, slower, no extra resources - **Blue-green**: full parallel environment, instant switch — fast rollback, 2x resources - **Canary**: route percentage to new version — catch issues early, complex routing - Choose based on risk tolerance and resources — no universal best ## Zero-Downtime Deploys - Health checks must pass before traffic routes — unhealthy instances stay out - Graceful shutdown: finish in-flight requests before terminating - Database changes must be backwards compatible — old code still running during deploy - Session handling: sticky sessions or external session store — don't lose user state ## CI/CD Pipeline - Build once, deploy everywhere — same artifact to staging and prod - Cache dependencies between builds — save minutes per deploy - Parallel steps where possible — tests, linting, security scans - Fail fast: quick checks first — don't wait for slow tests to catch typos - Pin action versions with SHA — tags can change unexpectedly ## Environment Management - Staging mirrors prod — different configs cause "works in staging" bugs - Secrets in secret manager, not environment files — rotation without redeploy - Feature flags decouple deploy from release — ship dark, enable later - Config as code in version control — except secrets ## Database Migrations - Migrations must be backwards compatible during deploy window - Add columns nullable first, then backfill, then add constraint - Never rename columns in one step — add new, migrate data, remove old - Test migrations on prod-size data — 10 rows is fast, 10 million isn't - Rollback script for every migration ## Rollback - Automated rollback on health check failure - Keep previous version artifacts available — can't rollback what you deleted - Database rollbacks are hard — design migrations to not need them - Feature flags for instant rollback of functionality without deploy - Document rollback procedure — panic time is not learning time ## Monitoring Post-Deploy - Watch error rates for 15 minutes after deploy — most issues surface quickly - Compare key metrics to pre-deploy baseline - Alerting on anomalies: latency spike, error rate increase - Log correlation: trace requests through systems - User-facing smoke tests after deploy ## Platform-Specific ### Containers - Image tagged with git SHA — know exactly what's running - Health check endpoint that verifies dependencies - Resource limits set — prevent runaway containers ### Serverless - Cold start optimization — keep bundles small - Provisioned concurrency for latency-sensitive paths - Timeout set appropriately — default is often too short ### Static Sites - CDN cache invalidation after deploy - Immutable assets with content hashes — cache forever - Preview deploys for PRs ## Common Mistakes - Deploying Friday afternoon — issues surface when nobody's watching - No rollback plan — hoping nothing goes wrong isn't a strategy - Mixing code and migration deploys — one thing at a time - Manual deploy steps — if it's not automated, it's wrong sometimes - Deploying without monitoring — you won't know it's broken until users complain
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.