This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Environment and secrets management lifecycle: .env scaffolding, validation, leak detection, and rotation across Vault, AWS SSM, 1Password, and Doppler. Use when setting up projects, scanning for leaked secrets, or rotating credentials.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Complete environment variable and secrets management lifecycle: .env file structure across dev/staging/production, .env.example auto-generation that strips sensitive values, required-variable validation at startup, secret leak detection in git history, credential rotation playbooks, environment drift detection, and integration with HashiCorp Vault, AWS SSM, 1Password CLI, and Doppler.
.env.example (strips secrets), environment-specific files, and fail-fast startup validation.Before running, confirm these inputs. If any is unknown or vague, ASK — do not assume:
.env, scan for leaked secrets, or check env drift (selects env_validator.py vs secret_scanner.py vs env_sync_checker.py).env/.env.example files or directory to scan (the input the tools read)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
| Tool | Purpose | Command |
|---|---|---|
env_validator.py | Validate a .env against .env.example: missing/extra vars, empty secrets, leaked credentials | python scripts/env_validator.py .env.example .env --strict --check-secrets |
secret_scanner.py | Scan a directory/file for hardcoded secrets via pattern matching | python scripts/secret_scanner.py ./src --severity high --json |
env_sync_checker.py | Compare env configs across dev/staging/prod and report drift | python scripts/env_sync_checker.py .env.* --baseline .env.example |
Load the reference that matches the task — keep this file lean and pull detail on demand:
.env layout, the .env.* file hierarchy, required .gitignore patterns, and the full Python startup-validation script. Read when scaffolding a project or wiring validation.This skill covers:
.env file scaffolding, hierarchy, and validation for any language/frameworkThis skill does NOT cover:
engineering/ci-cd-pipeline-builder for deployment pipeline secrets)engineering/ci-cd-pipeline-builder)engineering/api-design-reviewer for API security patterns)ra-qm-team/ compliance skills for access control frameworks)| Skill | Integration | Data Flow |
|---|---|---|
engineering/ci-cd-pipeline-builder | Inject secrets from Vault/SSM/Doppler into CI/CD pipeline stages | Rotation playbook outputs feed pipeline secret-update steps |
engineering/dependency-auditor | Flag dependencies that bundle or require hardcoded credentials | Dependency audit findings trigger secret leak scans on affected repos |
engineering/skill-security-auditor | Validate that no skill packages ship embedded secrets or credentials | Security audit references this skill's regex patterns for detection |
engineering/codebase-onboarding | Include .env.example setup and secret-manager access in onboarding checklists | Onboarding workflow consumes the .env hierarchy and validation script |
engineering/observability-designer | Monitor authentication failures post-rotation; alert on anomalous secret access | Post-rotation verification metrics flow into observability dashboards |
ra-qm-team/soc2-compliance-auditor | Demonstrate secret management controls for SOC 2 CC6.1 and CC6.6 criteria | Rotation audit logs and access policies serve as SOC 2 evidence artifacts |
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This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.