Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

Flagger Automation — Progressive Delivery Intelligence · lloydchang | DecimalAI

devopsby lloydchang

Flagger Automation — Progressive Delivery Intelligence

lloydchang/flagger-automation

Source lloydchang/agentic-reconciliation-engine ↗License AGPL-3.0

Progressive delivery automation using Flagger for canary, A/B testing, and blue/green deployments.

SkillScore91Maintained

Automatic

DevOps & SRE pack

Last verified 8/4/2026

What it changes

Passed 20 of 22 test cases with the skill, and 7 of 22 without it.

Without skill30%

With skill91%

Checks it passed that the model alone missed

Includes step weights 10, 20, 30, and 50
Contains field "provider" with value "gloo"
Contains field "provider" with value "nginx"

and 27 more in the full report

14 fixed7 passed either way2 still failing0 broke

Pass-rate lift: +61 pp
Tokens: +370%
Agent turns: 0%
Response time: -50%

Model gemini-3.6-flashMeasured 8/4/2026v121 of 23 cases passed with skill · 22 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/lloydchang-flagger-automation/SKILL.md https://app.decimal.ai/s/lloydchang-flagger-automation/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lloydchang-flagger-automation, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/lloydchang-flagger-automation/ and pins it in .decimal/skills.lock

decimalai skills add lloydchang-flagger-automation

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/lloydchang-flagger-automation/SKILL.md https://app.decimal.ai/s/lloydchang-flagger-automation/SKILL.md

Raw file: /s/lloydchang-flagger-automation/SKILL.md ↗ · machine-readable summary at /s/lloydchang-flagger-automation.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 13

Prompt

When initializing `FlaggerAutomation()` in the Python agent without an external configuration file, what default analysis interval and success threshold percentage are set in the internal configuration dictionary?

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies default analysis_interval as "10s"	Missed	Passed
Specifies default success_threshold as 99	Passed	Passed

case-15 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md712 lines4 filesincludes scripts

Flagger Automation — Progressive Delivery Intelligence

Purpose

Enterprise-grade progressive delivery automation solution that leverages Flagger to implement canary releases, A/B testing, and blue/green deployments with intelligent traffic management, automated analysis, and seamless GitOps integration across multi-cloud Kubernetes environments.

When to Use

Progressive delivery implementation with canary, A/B, or blue/green strategies
Automated releases with traffic shifting and rollback capabilities
Deployment analysis with metrics-driven validation and testing
Traffic management across service mesh and ingress controllers
GitOps integration for automated progressive delivery workflows
Multi-environment deployments with consistent delivery strategies

Inputs

operation: Operation type - install|configure|deploy|analyze|rollback|status|scale|test (required)
strategy: Deployment strategy - canary|abtest|bluegreen|mirror (required)
targetResource: Target deployment/application name (required)
namespace: Target namespace (optional, default: default)
provider: Traffic provider - istio|linkerd|kuma|nginx|contour|traefik|gloo|skipper|apisix (optional, default: istio)
analysis: Enable analysis (optional, default: true)
metrics: Metrics backend - prometheus|datadog|newrelic|cloudwatch|influxdb|graphite (optional, default: prometheus)
thresholds: Success/failure thresholds (optional)
traffic: Traffic routing percentages (optional)
environment: Target environment (optional, default: production)

Process

Environment Validation: Verify Kubernetes cluster and provider compatibility
Flagger Installation: Deploy and configure Flagger operator with specified provider
Provider Setup: Configure service mesh or ingress controller integration
Metrics Integration: Setup Prometheus or alternative metrics backend
Canary Configuration: Create canary custom resources with analysis templates
Traffic Routing: Configure progressive traffic shifting rules
Analysis Setup: Define success metrics, thresholds, and alerting
GitOps Integration: Configure Flux/ArgoCD for automated progressive delivery
Validation: Test deployment strategies and rollback capabilities
Monitoring: Setup comprehensive monitoring and alerting

Outputs

Flagger Configuration: Complete operator and provider setup
Canary Resources: Custom resources for progressive delivery

Track record

Benchmark

20 / 22

test cases passed, vs 7 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

lloydchang / agentic-reconciliation-engine

core/ai/skills/flagger-automation/SKILL.md

View on GitHub ↗

License AGPLv3Imported 8/1/2026Version v1Bundled 3 files · scripts

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Flagger Automation — Progressive Delivery Intelligence

Purpose

When to Use

Inputs

Process

Outputs

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills