observability

5 stars 1 forks

Observability specialists hub for monitoring, logging, tracing, and alerting. Routes to specialists for metrics collection, log aggregation, distributed tracing, and incident response. Use for system observability, debugging production issues, and performance monitoring.

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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install DNYoussef/context-cascade/observability

OpenCode (CLI) Fast

skilz install DNYoussef/context-cascade/observability --agent opencode

OpenAI Codex (CLI) Native

skilz install DNYoussef/context-cascade/observability --agent codex

Gemini CLI (Project) Project

skilz install DNYoussef/context-cascade/observability --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/DNYoussef/context-cascade

2. Copy the agent skill directory:

cp -r context-cascade/skills/research/observability ~/.claude/skills/

Owner: DNYoussef (GitHub)
Repository: context-cascade
Stars: 5
Forks: 1
Type: Technical
Meta-Domain: media
Primary Domain: monitoring
Market Score: 56

Agentic Skill Grades →

Agent Skill Grade

Score: 56/100 Click to see breakdown

Score Breakdown

Spec Compliance

0/15

PDA Architecture

18/30

Ease of Use

20/25

Writing Style

6/10

Utility

15/20

Modifiers: -3

Areas to Improve

Invalid or incomplete frontmatter
Excessive Verbosity
Name convention violations

Recommendations

Focus on improving Spec Compliance (currently 0/15)
Address 5 high-severity issues first
Add trigger phrases to description for discoverability

Graded: 2026-01-19

Developer Feedback

I took a look at your observability skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 56/100, which puts you in F territory. This one's primarily blocked by a structural issue—no frontmatter—that tanks your spec compliance score (0/15). The good news? Your Ease of Use is solid at 20/25, and you've got real observability content here. Fix the frontmatter and trim some verbosity, and you'll jump significantly.

What's Working Well

Clear trigger phrases - Terms like "observability," "research," "workflow" are discoverable and specific, which helps people find this when they need it
Practical content structure - You've got QUICK-REFERENCE.md and layered specialist skills, which shows you're thinking about progressive disclosure
Real examples - The YAML and code snippets actually help people understand what observability patterns look like
Consistent terminology - You stick with observability language throughout, no confusing jumps between concepts

The Big One: Missing Frontmatter

This is your main blocker. Your SKILL.md needs to start with YAML frontmatter—right now there's nothing, which automatically zeros out your entire Spec Compliance score (0/15).

Here's what needs to be at the top of skills/research/observability/SKILL.md:

---
name: observability
description: Guides distributed systems observability setup and troubleshooting. Use when asked to "observability", "distributed tracing", "metrics and logging", or "monitoring strategies".
---

This one fix gets you +5 points just for valid frontmatter, then another +8 for name and description quality. That's a 13-point jump right there.

Other Things Worth Fixing

Trim the verbosity - Your file i...

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