twilio-debugging-observability Skill
Debug Twilio integrations and set up production observability. Covers the Console Debugger, Monitor Alerts API, Event Streams for error log streaming, status callback tracking, common error codes, and a systematic debugging workflow. Use this skill whenever a Twilio integration produces errors, messages fail to deliver Published by openai in plugins.
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Developers using plugins, Includes SKILL.md, Reusable instructions
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Copy skill directory
20 days ago
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What is twilio-debugging-observability Skill?
Debug Twilio integrations and set up production observability. Covers the Console Debugger, Monitor Alerts API, Event Streams for error log streaming, status callback tracking, common error codes, and a systematic debugging workflow. Use this skill whenever a Twilio integration produces errors, messages fail to deliver Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using plugins
Declared skill metadata
- Source file: plugins/twilio-developer-kit/skills/twilio-debugging-observability/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use twilio-debugging-observability Skill
- Use it for developers using plugins.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/twilio-developer-kit/skills/twilio-debugging-observability/SKILL.md
What it does
Debug Twilio integrations and set up production observability. Covers the Console Debugger, Monitor Alerts API, Event Streams for error log streaming, status callback tracking, common error codes, and a systematic debugging workflow. Use this skill whenever a Twilio integration produces errors, messages fail to deliver
Skill instructions
Overview Twilio provides several layers of debugging and observability: the Console Debugger for interactive troubleshooting, the Monitor REST API for programmatic alert queries, Event Streams for real-time error streaming, and status callbacks for per-resource delivery tracking. This skill covers the systematic approach to diagnosing issues and setting up production monitoring. --- Prerequisites - Twilio account with TWILIOACCOUNTSID and TWILIOAUTHTOKEN -- see twilio-iam-auth-setup - SDK: pip install twilio requests / npm install twilio - For Event Streams: a publicly accessible HTTPS endpoint or AWS Kinesis stream --- Quickstart Check for recent errors on your account using the Monitor Alerts API. Python python import os from twilio.rest import Client client = Client(os.environ["TWILIOACCOUNTSID"], os.environ["TWILIOAUTHTOKEN"]) alerts = client.monitor.alerts.list(loglevel="error", limit=10) for alert in alerts: print(f"{alert.datecreated}: [{alert.errorcode}] {alert.alerttext}") Nod
Verified compatibility and discovery
Frequently asked questions
What is twilio-debugging-observability?
twilio-debugging-observability is a open-source AI agent skill with Copy skill directory. Debug Twilio integrations and set up production observability. Covers the Console Debugger, Monitor Alerts API, Event Streams for error log streaming, status callback tracking, common.
Who is twilio-debugging-observability best for?
twilio-debugging-observability is best for reusing agent instructions, scripts, and references.
How do I install twilio-debugging-observability?
Install or run twilio-debugging-observability using Copy skill directory. Check twilio-debugging-observability for the latest setup command.
Is twilio-debugging-observability actively maintained?
twilio-debugging-observability may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
