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observability

Observability as an engineering discipline — wide events / canonical log lines, OpenTelemetry instrumentation (traces, metrics, context propagation, sampling…

Skill by conjurer-rich

IndexedNOASSERTION★ 1
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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/conjurer-rich-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

Observability as an engineering discipline — wide events / canonical log lines, OpenTelemetry instrumentation (traces, metrics, context propagation, sampling, Collector), SLIs/SLOs/error budgets, symptom-based alerting with burn rates, telemetry hygiene, and testing instrumentation as behavior. Use when calls between services cannot be correlated, another team cannot line their side of a call up with ours or find the request it came from, a request or trace id has to cross a service hop, a failure cannot be debugged from the logs, or when instrumenting a service, designing SLOs or alerts, choosing what to log/trace/measure, investigating production unknowns, or reviewing telemetry cost and cardinality. For log transport and shape (stdout, JSON, levels, timestamps) see twelve-factor; for CI failure diagnosis see ci-debugging; for where instrumentation lives in ports-and-adapters codebases see hexagonal-architecture; for HTTP error response shape see api-design.

Use cases: design, backend, testing, devops

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
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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
Observability as an engineering discipline — wide events / canonical log lines, OpenTelemetry instrumentation (traces, metrics, context propagation, sampling, Collector), SLIs/SLOs/error budgets, symptom-based alerting with burn rates, telemetry hygiene, and testing instrumentation as behavior. Use when calls between services cannot be correlated, another team cannot line their side of a call up with ours or find the request it came from, a request or trace id has to cross a service hop, a failure cannot be debugged from the logs, or when instrumenting a service, designing SLOs or alerts, choosing what to log/trace/measure, investigating production unknowns, or reviewing telemetry cost and cardinality. For log transport and shape (stdout, JSON, levels, timestamps) see twelve-factor; for CI failure diagnosis see ci-debugging; for where instrumentation lives in ports-and-adapters codebases see hexagonal-architecture; for HTTP error response shape see api-design.
License
NOASSERTION
Instructions
256 lines in SKILL.md · view on GitHub

Files (6)

  • SKILL.md
  • openai.yaml · agents/
  • node-patterns.md · resources/
  • references.md · resources/
  • slo-alerting.md · resources/
  • testing-telemetry.md · resources/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from conjurer-rich/skills

Signals

Stars
1
Forks
0
Open issues
2
Last commit (this folder)
Oct 8, 2026 (20 days ago)
Last release
Oct 22, 2026 (6 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
Repository
github.com/conjurer-rich/skills
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/conjurer-rich-observability (last updated 2026-10-24)