observability
Add or improve structured logging, metrics, tracing, health checks, error reporting, and operational diagnostics without leaking sensitive data.
Skill by PHENOMVALENCE
Chalk Labs
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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/phenomvalence-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
Use cases: data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
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
- Add or improve structured logging, metrics, tracing, health checks, error reporting, and operational diagnostics without leaking sensitive data.
- License
- MIT
- Instructions
- 15 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Observability ## Workflow 1. Define the operational question: what failure or behavior must become visible? 2. Use structured logs with request/job correlation where the stack supports it. 3. Record useful context, not secrets, tokens, passwords, sensitive payloads, or unnecessary personal data. 4. Add metrics for rates, errors, latency, saturation, queues, and critical business events where useful. 5. Add traces around distributed/external calls when supported. 6. Provide health/readiness checks appropriate to infrastructure. 7. Make alerts actionable with a clear threshold and owner/runbook. 8. Verify instrumentation under success and failure conditions. Observability should help answer what happened, where, for whom/which request safely, and what action an operator should take next.
From PHENOMVALENCE/engineering-agent-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 16, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from PHENOMVALENCE
- 0.524score
codebase-analysis
PHENOMVALENCE
Inspect and map an existing repository before making significant changes.
SkillBFreshness: BClaude Code +9 - 0.521score
documentation
PHENOMVALENCE
Create and maintain concise project, architecture, API, setup, operational, and decision documentation alongside code changes.
SkillBFreshness: BClaude Code +9 - 0.521score
debugging
PHENOMVALENCE
Diagnose defects systematically by reproducing the issue, isolating the failing layer, testing hypotheses, fixing root cause, and adding regression protection.
SkillBFreshness: BClaude Code +9 - 0.521score
deployment
PHENOMVALENCE
Prepare, execute, and verify safe deployments with preflight checks, migrations, configuration validation, rollback awareness, and production smoke tests.
SkillBFreshness: BClaude Code +9 - 0.521score
ci-cd
PHENOMVALENCE
Design or maintain CI/CD pipelines that provide reliable quality gates, reproducible builds, secure secret handling, and controlled deployments.
SkillBFreshness: BClaude Code +9 - 0.521score
laravel
PHENOMVALENCE
Build and maintain Laravel applications using framework conventions, explicit validation/authorization, service boundaries, migrations, tests, queues, and API…
SkillBFreshness: BClaude Code +9
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Cite this page
observability skill. Agent Mart. https://agentmart.dev/skills/phenomvalence-observability (last updated 2026-10-24)