重要前提
安装AI Skills的关键前提是:必须科学上网,且开启TUN模式,这一点至关重要,直接决定安装能否顺利完成,在此郑重提醒三遍:科学上网,科学上网,科学上网。查看完整安装教程 →
release-manager by daffy0208/ai-dev-standards
npx skills add https://github.com/daffy0208/ai-dev-standards --skill release-manager通过渐进式发布安全地交付功能。
Phase 1 - Internal (Day 1):
- 100% to internal team
- Test thoroughly
- Fix critical bugs
Phase 2 - Beta (Day 2-3):
- 5% to beta users
- Monitor errors/performance
- Collect feedback
Phase 3 - Gradual (Day 4-7):
- 25% of users
- Watch metrics closely
- 50% of users if good
- 100% if still good
Phase 4 - Full Release:
- 100% of users
- Remove feature flag
- Announce publicly
// Feature flag implementation
const featureFlags = {
newDashboard: {
enabled: true,
rollout: 0.25, // 25% of users
userGroups: ['beta-testers'], // Always on for beta
}
}
function isFeatureEnabled(feature, user) {
const flag = featureFlags[feature]
// Check user group
if (user.groups.some(g => flag.userGroups.includes(g))) {
return true
}
// Check rollout percentage
const hash = hashUserId(user.id)
return (hash % 100) < (flag.rollout * 100)
}
// Usage
{isFeatureEnabled('newDashboard', user) ? (
<NewDashboard />
) : (
<OldDashboard />
)}
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触达数万 AI 开发者,精准高效
Process: 1. Deploy to "green" environment
2. Test green thoroughly
3. Switch traffic to green
4. Keep blue as rollback
Pros: Instant rollback
Cons: 2x infrastructure cost
Process: 1. Deploy to 5% of servers
2. Monitor for 1 hour
3. If good, deploy to 25%
4. Monitor for 1 hour
5. If good, deploy to 100%
Pros: Gradual, safe
Cons: Slower rollout
Criteria for Rollback:
- Error rate > 1%
- Performance degradation > 20%
- Critical bug discovered
- Negative user feedback
Rollback Process: 1. Disable feature flag immediately
2. Notify team
3. Investigate issue
4. Fix and redeploy
Key Metrics During Release:
- Error rate
- Response time p95
- CPU/memory usage
- User-reported issues
Alerts:
- Error rate > 1% → Pause rollout
- Response time > 2s → Investigate
- Memory spike > 90% → Rollback
Internal:
- Slack announcement
- Deploy log updated
- Engineering team notified
External:
- Changelog updated
- Email to power users (if major)
- Blog post (if significant)
安全发布:
每周安装数
53
代码仓库
GitHub 星标数
18
首次出现
2026年1月20日
安全审计
安装于
opencode44
gemini-cli43
codex42
cursor38
claude-code35
github-copilot34
Ship features safely with progressive rollouts.
Phase 1 - Internal (Day 1):
- 100% to internal team
- Test thoroughly
- Fix critical bugs
Phase 2 - Beta (Day 2-3):
- 5% to beta users
- Monitor errors/performance
- Collect feedback
Phase 3 - Gradual (Day 4-7):
- 25% of users
- Watch metrics closely
- 50% of users if good
- 100% if still good
Phase 4 - Full Release:
- 100% of users
- Remove feature flag
- Announce publicly
// Feature flag implementation
const featureFlags = {
newDashboard: {
enabled: true,
rollout: 0.25, // 25% of users
userGroups: ['beta-testers'], // Always on for beta
}
}
function isFeatureEnabled(feature, user) {
const flag = featureFlags[feature]
// Check user group
if (user.groups.some(g => flag.userGroups.includes(g))) {
return true
}
// Check rollout percentage
const hash = hashUserId(user.id)
return (hash % 100) < (flag.rollout * 100)
}
// Usage
{isFeatureEnabled('newDashboard', user) ? (
<NewDashboard />
) : (
<OldDashboard />
)}
Process: 1. Deploy to "green" environment
2. Test green thoroughly
3. Switch traffic to green
4. Keep blue as rollback
Pros: Instant rollback
Cons: 2x infrastructure cost
Process: 1. Deploy to 5% of servers
2. Monitor for 1 hour
3. If good, deploy to 25%
4. Monitor for 1 hour
5. If good, deploy to 100%
Pros: Gradual, safe
Cons: Slower rollout
Criteria for Rollback:
- Error rate > 1%
- Performance degradation > 20%
- Critical bug discovered
- Negative user feedback
Rollback Process: 1. Disable feature flag immediately
2. Notify team
3. Investigate issue
4. Fix and redeploy
Key Metrics During Release:
- Error rate
- Response time p95
- CPU/memory usage
- User-reported issues
Alerts:
- Error rate > 1% → Pause rollout
- Response time > 2s → Investigate
- Memory spike > 90% → Rollback
Internal:
- Slack announcement
- Deploy log updated
- Engineering team notified
External:
- Changelog updated
- Email to power users (if major)
- Blog post (if significant)
Safe releases:
Weekly Installs
53
Repository
GitHub Stars
18
First Seen
Jan 20, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
opencode44
gemini-cli43
codex42
cursor38
claude-code35
github-copilot34
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111,700 周安装