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tracking-service-reliability

5.8

by jeremylongshore

155Favorites
112Upvotes
0Downvotes

Define and track SLAs, SLIs, and SLOs for service reliability including availability, latency, and error rates. Use when establishing reliability targets or monitoring service health. Trigger with phrases like "define SLOs", "track SLI metrics", or "calculate error budget".

SLO/SLI tracking

5.8

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

This skill provides a solid framework for tracking service reliability through SLAs, SLIs, and SLOs. The description is clear and adequately covers the skill's purpose, making it straightforward for a CLI agent to understand when to invoke it. The SKILL.md includes good task knowledge with step-by-step instructions, prerequisites, and error handling guidance. The structure is logical with clear sections, though the file references scripts that would benefit from more explicit integration details in the main documentation. The novelty score is moderate because while the skill provides useful automation for SLO tracking, much of this could be accomplished through standard monitoring tools or scripts without necessarily requiring a specialized AI skill. The skill's value lies primarily in organizing and structuring the reliability tracking process rather than performing highly complex or unique operations. The presence of Python scripts for error budget calculation, SLA reporting, and SLI monitoring (referenced in the directory tree) adds practical implementation value, and per instructions, these are assumed to satisfy their described functionality.

LLM Signals

Description coverage7
Task knowledge7
Structure6
Novelty4

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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