
Support Engineer
- 32 installs
- 7 repo stars
- Updated May 20, 2026
- daemon-blockint-tech/agentic-enteprises-skill
Investigate customer-reported bugs, reproduce issues, analyze logs and API errors, escalate to engineering with a minimal repro, and write KB fixes.
About
Guides technical support engineering: ticket investigation, reproduction, log and API analysis, root-cause isolation, engineering escalation, and knowledge-base articles. A developer uses it when debugging a customer-reported issue and drafting technical replies.
- Reproduce issues across environments and analyze request IDs and API errors
- Escalate to engineering with a minimal repro and impact statement
Support Engineer by the numbers
- 32 all-time installs (skills.sh)
- Ranked #355 of 596 Debugging skills by installs in the Skillselion catalog
- Data as of Jul 29, 2026 (Skillselion catalog sync)
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| Installs | 32 |
|---|---|
| repo stars | ★ 7 |
| Last updated | May 20, 2026 |
| Repository | daemon-blockint-tech/agentic-enteprises-skill ↗ |
What it does
Investigate customer-reported bugs, reproduce issues, analyze logs and API errors, escalate to engineering with a minimal repro, and write KB fixes.
Files
Support Engineer
When to Use
- Investigate a customer bug or "it doesn't work" report
- Reproduce issues across environments (browser, API, mobile)
- Analyze logs, request IDs, and HTTP/API error payloads
- Draft technical response with steps, workaround, or ETA
- Escalate to engineering with minimal repro and impact
- Author or update KB articles after resolved issues
When NOT to Use
- Support queue SLAs, CS metrics, renewals, dunning →
customer-ops-specialist - Company-wide outage incident commander role →
incident-management-engineer - Implement product code fixes in repo →
fullstack-software-engineer - Public API reference documentation →
tech-writer-researcher - Security incident or SOC alert investigation →
defensive-security-analyst
Related skills
| Need | Skill |
|---|---|
| Support ops, health scores, billing tickets | customer-ops-specialist |
| App code fixes and PRs | fullstack-software-engineer |
| Browser auth, CORS, session issues | web-application-developer |
| Production outage process | incident-management-engineer |
| Customer-facing docs and API guides | tech-writer-researcher |
| Infra/logs on platform side | devops |
| Company-wide incident or launch messaging | communication-lead |
| Exec/VIP and public community escalation program | community-executive-escalations-program-manager |
| How-to replies, KB gaps, feature-request capture | product-support-specialist |
Core Workflows
1. Intake and triage
Capture before deep dive:
- Customer ID, environment (prod/sandbox), region
- Timestamp with timezone
- User role and exact URL or API endpoint
- Error message verbatim; request/correlation ID
- Recent changes (release, config, integration)
- Severity: blocked vs degraded vs question
Route billing/access-only issues to customer-ops-specialist if non-technical.
See `references/ticket_triage.md`.
2. Reproduce
1. Follow customer steps on comparable environment 2. Reduce to minimal repro (fewest steps, clean account if possible) 3. Note deterministic vs intermittent 4. Capture HAR, server logs, or curl with redacted secrets
See `references/reproduction_debugging.md`.
3. Isolate root cause
| Layer | Checks |
|---|---|
| Client | Browser, cache, extensions, version |
| API | Status code, body, rate limits, auth token |
| Config | Feature flags, tenant settings, quotas |
| Data | Specific record IDs, permissions |
| Platform | Status page, known incidents |
Document hypothesis and evidence; avoid guessing in customer reply.
4. Resolve or escalate
If known issue: link KB, workaround, linked engineering ticket + ETA.
If new bug: file engineering ticket with:
- Title:
[component] short failure description - Impact: customer count, blocked workflows
- Repro steps, expected vs actual
- Logs/IDs attached
See `references/escalation_engineering.md`.
5. Customer communication
- Acknowledge impact; no blame
- State what is known, unknown, and next update time
- Provide workaround before permanent fix when possible
- After fix: confirm with customer; close loop
See `references/customer_comms.md`.
6. Knowledge base
After fix verified:
- Symptom → cause → resolution → prevention
- Searchable title; tags for product area
- Link to public API doc if applicable
See `references/kb_article.md`.
When to load references
- Priority and intake →
references/ticket_triage.md - Repro and logs →
references/reproduction_debugging.md - Engineering handoff →
references/escalation_engineering.md - Customer updates →
references/customer_comms.md - KB template →
references/kb_article.md
Customer communications
Table of contents
Update template
Hi [name],
**Status:** [investigating / workaround available / fix deployed]
**Impact:** [what we understand]
**Workaround:** [steps or "none yet"]
**Next update:** [time]
[Optional technical detail in plain language]
Thanks,
[agent]Avoid internal ticket numbers unless customer-facing portal shows them.
Engineering escalation
Table of contents
1. Ticket quality bar 2. Severity for engineering
Ticket quality bar
Engineering should not need to ask:
- [ ] Clear repro or explicit "cannot reproduce" with attempts listed
- [ ] Single owner on support side
- [ ] Customer impact quantified
- [ ] Regression yes/no and first seen version/date
Label: customer-reported, repro-confirmed, regression.
Severity for engineering
| Label | Meaning |
|---|---|
| S0 | Active outage, many customers |
| S1 | Major broken path, workaround weak |
| S2 | Isolated bug |
| S3 | Minor / tech debt |
Match internal engineering severity if different from customer-facing P-level.
Knowledge base article
Table of contents
1. Structure
Structure
# [Symptom as customers search it]
## Symptoms
- Bullet list
## Cause
Brief technical cause (no internal jargon overload)
## Resolution
1. Numbered steps
## Prevention
Optional configuration or upgrade note
## Related
- Links to API docsRetire or redirect article when product fix makes workaround obsolete.
Reproduction and debugging
Table of contents
1. Repro template 2. Log fields
Repro template
## Environment
- Tenant / account:
- Product version or build:
- Browser or SDK version:
## Steps
1.
2.
## Expected
## Actual
## Attachments
- HAR / curl (secrets redacted)
- Request ID:Log fields
Collect when available:
request_id,trace_id,correlation_id- HTTP status and response body (truncate PII)
- User ID and resource IDs (not passwords or tokens)
Ticket triage
Table of contents
1. Severity 2. First response
Severity
| Level | Criteria | Update cadence |
|---|---|---|
| P1 | Production down or data loss risk | Hourly until mitigated |
| P2 | Major feature broken, no workaround | Every 4–8h |
| P3 | Partial impact or workaround exists | Daily |
| P4 | How-to, cosmetic | Standard SLA |
Align with customer-ops-specialist SLA table if company-defined.
First response
Within SLA:
- Confirm receipt and severity
- List info still needed (IDs, screenshots, repro permission)
- Set expectation for next update