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Feature Flag Manager — Multi-Cloud Enterprise Automation · lloydchang | DecimalAI

devopsby lloydchang

Feature Flag Manager — Multi-Cloud Enterprise Automation

lloydchang/manage-feature-flags

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

Manages feature flags across applications and environments with controlled rollouts and A/B testing capabilities.

SkillScore96Maintained

Automatic

DevOps & SRE pack

Last verified 8/4/2026

What it changes

Passed 23 of 24 test cases with the skill, and 11 of 24 without it.

Without skill46%

With skill96%

Checks it passed that the model alone missed

Defaults dryRun to true.
Defaults cloudProvider to all.
Defaults environment to production.

and 9 more in the full report

12 fixed11 passed either way1 still failing0 broke

Pass-rate lift: +50 pp
Tokens: -1%
Agent turns: 0%
Response time: -54%

Model gemini-3.6-flashMeasured 8/4/2026v123 of 24 cases passed with skill

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-manage-feature-flags/SKILL.md https://app.decimal.ai/s/lloydchang-manage-feature-flags/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lloydchang-manage-feature-flags, 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-manage-feature-flags/ and pins it in .decimal/skills.lock

decimalai skills add lloydchang-manage-feature-flags

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

curl -fsSL --create-dirs -o .claude/skills/lloydchang-manage-feature-flags/SKILL.md https://app.decimal.ai/s/lloydchang-manage-feature-flags/SKILL.md

Raw file: /s/lloydchang-manage-feature-flags/SKILL.md ↗ · machine-readable summary at /s/lloydchang-manage-feature-flags.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 12

Prompt

In the core automation directory, which specific Python script handles provider-specific cloud infrastructure operations for feature flag management?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies core/scripts/automation/feature-flag-manager_handler.py as the handler script.	Missed	Passed

case-06 · 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.md77 linessingle file

Feature Flag Manager — Multi-Cloud Enterprise Automation

Purpose

Enterprise-grade automation solution for feature flag manager operations across AWS, Azure, GCP, and on-premise environments to maximize operational efficiency while maintaining security and compliance standards.

When to Use

feature flag manager operations across multi-cloud environments
Automation and optimization of feature flag manager workflows
Monitoring and management of feature flag manager resources
Compliance and governance for feature flag manager activities

Inputs

operation: Operation type (required)
targetResource: Target resource identifier (required)
cloudProvider: Cloud provider - aws|azure|gcp|onprem|all (optional, default: all)
parameters: Operation-specific parameters (optional)
environment: Target environment (optional, default: production)
dryRun: Dry run mode (optional, default: true)

Process

Cloud Provider Detection: Identify target cloud providers and environments
Input Validation: Comprehensive parameter validation and security checks
Multi-Cloud Context Analysis: Analyze current state across all providers
Operation Planning: Generate optimized execution plan
Safety Assessment: Risk analysis and impact evaluation across providers
Execution: Perform operations with monitoring and validation
Results Analysis: Process results and generate reports

Outputs

Operation Results: Detailed execution results and status per provider
Compliance Reports: Validation and compliance status across environments
Performance Metrics: Operation performance and efficiency metrics by provider
Recommendations: Optimization suggestions and next steps
Audit Trail: Complete operation history for compliance across all providers

Environment

AWS: EKS, EC2, Lambda, CloudWatch, IAM, S3
Azure: AKS, VMs, Functions, Monitor, Azure AD
GCP: GKE, Compute Engine, Cloud Functions, Cloud Monitoring
On-Premise: Kubernetes clusters, VMware, OpenStack, Prometheus

Track record

Benchmark

23 / 24

test cases passed, vs 11 / 24 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/manage-feature-flags/SKILL.md

View on GitHub ↗

License AGPLv3Imported 8/1/2026Version v1

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

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See it in action

What's inside

Feature Flag Manager — Multi-Cloud Enterprise Automation

Purpose

When to Use

Inputs

Process

Outputs

Environment

Track record

Benchmark

Adoption

SkillSafety

Source

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