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Sets up a full observability stack with instrumentation and dashboards for a service. Use when you want to add structured metrics collection and a pre-built dashboard to a new service so it is observable from day one.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | observability-stack |
| description | Sets up a full observability stack with instrumentation and dashboards for a service. Use when you want to add structured metrics collection and a pre-built dashboard to a new service so it is observable from day one. |
| x-spec-version | 1 |
A coordinated set of skills that adds end-to-end observability to a service: metric instrumentation at the code level and a pre-built dashboard for visualising those metrics.
Use when you are onboarding a new service and need all of: structured metric collection, consistent naming, and a ready-to-use dashboard.
Individual member skills can be used independently — see each skill's "When to use" section.
Install and apply in this order:
Parameters shared across member skills are documented in PARAMETERS.md in this
directory. Each member skill also maintains its own PARAMETERS.md for
skill-specific parameters.
PARAMETERS.md.After applying all member skills, run the quality gate for each member:
validate-skill.sh instrumentation
validate-skill.sh dashboards
Expected output: VALIDATION_RESULT: PASS for each member.
Extracts a reusable code pattern from the current repo and authors a portable, validated Agent Skill. Use when you want to capture a logging setup, CI/CD pipeline, observability stack, async messaging pattern, frontend component library, feature-flag middleware, or any other repeatable engineering pattern so it can be replayed across other repos. Produces: a standard-conformant SKILL.md, parameterized code templates in assets/templates/, a PARAMETERS.md documenting every placeholder, then runs validate-skill.sh, scan-leaks.sh, and dry-run-replay.sh as a tiered quality gate. Output is ready to publish via references/publishing.md.
Regression fixture for dry-run-replay header-skip drift.
A clean skill containing a git commit SHA, a UUID, and an embedded base64 image asset — none of which are secrets and none must trip the scanner.
Sets up structured logging for a service using a configurable log level and service name. Produces a logger.config file ready for ingestion by your logging pipeline. Works with any service that reads configuration from a flat config file.
A skill that accidentally contains an AWS access key — should be caught by the scanner.
A skill containing bare base64 secrets ending in equals-sign padding, which must not evade the entropy detector.