observability
Observe systems: logging, metrics, tracing, health checks, graceful shutdown.
Skill by chnetajibc
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/chnetajibc-observability
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/observability
What's inside
- Skill name
observability- Description
- Observe systems: logging, metrics, tracing, health checks, graceful shutdown. Measure before optimizing.
- License
- MIT
- Instructions
- 45 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# observability If you can't see it, you can't run it: structured logs, RED/USE metrics, traces, and honest health checks. ## Activate when - Operating, debugging, or shipping any deployed service; adding alerts, dashboards, or probes. ## Do NOT activate for - One-off local debugging (use a debugger/log); frontend-only analytics (see product/mvp-discovery, startup/launch-ops). ## Inspection Inventory existing signals: log format/levels, emitted metrics, trace coverage, health endpoints, alert rules, dashboards. Find the gaps against the failure modes below. ## Decision rules - Logs: structured (JSON) with trace/request IDs; levels meaningful (ERROR = page someone); no PII/secrets; correlation across service hops. - Metrics: RED (rate/errors/duration) per endpoint, USE (utilization/saturation/errors) per resource; business metrics only where they drive alerts. - Tracing: OpenTelemetry spans across service/queue boundaries; sample head- or tail-based deliberately. - Health: liveness (restart me) vs readiness (send traffic) as separate probes hitting real checks; graceful shutdown drains first. - Alerts: symptom-based, runbook-linked, with halt/escalation criteria — never alert on what nobody will act on. ## Procedure 1. Close the highest-risk gap first (usually: request IDs, error-rate alert, readiness probe). 2. Wire one dashboard per service (RED + saturation + deploys marked) and one runbook per alert. 3. Prove each alert fires (trigger on purpose in staging) and each probe reflects reality (kill a dependency, watch readiness drop). 4. Verify: incident drill passes using only these signals; no secret/PII in log samples. ## Failure modes - Unstructured logs without IDs; metrics nobody alerts on; liveness==readiness single probe; alert fatigue from symptomless thresholds; traces unsampled at cost. ## Escalation Vendor specifics via registry (opentelemetry, prometheus, grafana, sentry) + research/documentation-search; incident process itself is out of scope — hand to on-call with the runbook. ## References - Registry: `../../research/documentation-search/references/framework-registry.yaml` (opentelemetry, prometheus, grafana, sentry). - Related: `../../backend/production-readiness/`, `../../cloud/foundations/`.
From chnetajibc/skill-repo, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 22, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/chnetajibc/skill-repo
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
observability skill. Agent Mart. https://agentmart.dev/skills/chnetajibc-observability (last updated 2026-10-24)