fec-accessibility-chec…
Use when reviewing or improving frontend accessibility, semantic structure, keyboard support, focus management, ARIA labels, screen reader behavior, WCAG 2.2…
Use when diagnosing frontend build failures, runtime errors, UI anomalies, API/data problems, white screens, request failures, or unexplained production exceptions; Chinese triggers include debugging, debug, troubleshooting, positioning, error reporting, exceptions, white
$ npx -y skills add bovinphang/frontend-craft --skill fec-debug-framework --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/fec-debug-frameworkContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when diagnosing frontend build failures, runtime errors, UI anomalies, API/data problems, white screens, request failures, or unexplained production exceptions; Chinese triggers include debugging, debug, troubleshooting, positioning, error reporting, exceptions, white
name: fec-debug-framework description: Use when diagnosing frontend build failures, runtime errors, UI anomalies, API/data problems, white screens, request failures, or unexplained production exceptions; Chinese triggers include debugging, debug, troubleshooting, positioning, error reporting, exceptions, white screens, request failures.
Use an evidence-driven triage, collection, hypothesis, verification, and remediation process to locate front-end faults and avoid relying on intuition to expand the scope of changes.
All front-end problem diagnosis follows a unified process:
Identify problem type and scope of impact:
| Type | Judgment basis | Diagnosis entrance | | ------- | ---------------------------- | -------------- | | build | Command exit is non-zero, stderr has error | → Build module | | runtime | Console exception, white screen, function unavailable | → Runtime module | | ui | Visual deviation, interaction not as expected | → UI module | | api | Request status code exception, data inconsistency | → API module |
Cross-type problems (such as API failure leading to UI exceptions) start with the most superficial symptoms and drill down layer by layer.
Collect evidence by type (specific strategies for each module, see below).
Propose possible root causes based on evidence, ranked by likelihood:
Test the hypotheses one by one:
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**Collect**: Run minimal failing commands, capture full stderr/stdout **Assumptions**: Grouped by error type (type error, import failure, configuration resolution, missing dependency), match known patterns **Verification**: Fix a type of root cause → rerun the command → confirm that errors are reduced **Special handling**:
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When writing a diagnostic report, load [references/report-template.md](references/report-template.md).
frontend-craft is a universal frontend plugin that brings the same opinionated engineering standards to all 15 AI coding assistants.
Repo: bovinphang/frontend-craft
Use when reviewing or improving frontend accessibility, semantic structure, keyboard support, focus management, ARIA labels, screen reader behavior, WCAG 2.2…
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