据 AlphaMoat 统计,截至 2026-09,Deploy 累计下载 4,441 次、获 3 个星标,在全部 5,078 个 AI 技能中排名第 2,190 位,在「运维安全」分类(264 个)中排名第 123 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 120 | 4,441 | 3 | - |
| SkillHub ↗ | 117 | 4,019 | 3 | — |
各平台的计数口径不同,统计时间不一致。
主文强调迁移需向后兼容、先增加可空列再回填、每项迁移要考虑回滚,并在发布后观察错误率和关键指标。该技能只提供指南,不会执行命令或访问系统;执行前要依据目标环境审查发布计划和命令,核验密钥处理、迁移兼容性、回滚步骤与监控方案。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 4,441 | — | 3 |
| 2026-08 | 4,230 | +9.9% | 3 |
| 2026-07 | 3,850 | +16.6% | 3 |
| 2026-06 | 3,302 | +8.1% | 3 |
| 2026-05 | 3,054 | — | 3 |
| 2026-03 | 2,109 | — | 3 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 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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数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。