observability-design
Making multi-agent workflows visible and debuggable for designers and developers.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/owl-listener/ai-design-skills --skill observability-design- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads observability-design automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Observability Design
You can't improve what you can't see. Observability design makes the internal workings of multi-agent systems visible — so designers can understand user experience problems, developers can debug failures, and teams can improve the system over time.
What to Make Observable
- Workflow execution: Which agents were involved, in what order, with what results
- Decision points: What decisions were made, what alternatives were considered, why one was chosen
- Handoff details: What context transferred between agents, was anything lost
- Timing: How long each agent took, where bottlenecks occur
- Failures: What failed, how it was recovered, what the user experienced
- Quality signals: Output quality scores, user satisfaction signals, task success markers
Observability for Different Audiences
For designers:
- User journey view: What did the user experience across the whole workflow?
- Pain point identification: Where did users struggle, abandon, or express frustration?
- Quality patterns: Which outputs are high and low quality, and why? For developers:
- Execution traces: Step-by-step log of agent actions
- Error logs: What failed and where
- Performance metrics: Latency, throughput, resource usage For product managers:
- Usage patterns: Which workflows are used most, which are abandoned
- Success metrics: Task completion rates, user satisfaction trends
- Cost analysis: Resource consumption per workflow For users (optional):
- Progress indicators: Where is the system in the workflow?
- Agent transparency: Which agent is handling their request?
- Audit trails: What the system did on their behalf
Designing Observability Interfaces
- Dashboards: Real-time and historical views of system health and performance
- Trace viewers: Detailed step-by-step views of individual workflow executions
- Alert systems: Notifications when metrics exceed thresholds
- Search and filter: Ability to find specific executions by criteria
- Comparison tools: Compare performance across time periods, versions, or cohorts
Observability Without Overload
Too much data is as bad as too little:
- Layered detail: Start with high-level summary, drill down on demand
- Smart defaults: Show the most important information first
- Anomaly highlighting: Surface unusual patterns automatically
- Contextual views: Different views for different questions
Design Artefacts
- Observability architecture diagrams
- Dashboard specifications per audience
- Trace schema definitions
- Alert threshold configurations
- Observability tool requirements
FAQ
What does the observability-design skill do?
Making multi-agent workflows visible and debuggable for designers and developers.
How do I install observability-design?
Run npx skills add https://github.com/owl-listener/ai-design-skills --skill observability-design in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/observability-design/ (personal) or .claude/skills/observability-design/ (project).
Which AI agents can use observability-design?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is observability-design safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains observability-design?
It is published by owl-listener in owl-listener/ai-design-skills. It has 130 recorded installs.
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