Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
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Use when test coverage has dropped and you need to find which changes caused it and what tests to add. Traces coverage regressions to specific commits and files.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Runbook-style skill for investigating coverage regressions. Identifies which changes caused coverage to drop and recommends targeted tests.
/coverage-drop-investigator
# Generate coverage report
npx jest --coverage --coverageReporters=json-summary
# View summary
cat coverage/coverage-summary.json | jq '.total'
# Compare coverage with main branch
git stash && npx jest --coverage --coverageReporters=json-summary
mv coverage/coverage-summary.json coverage/baseline.json
git stash pop && npx jest --coverage --coverageReporters=json-summary
# Compare
jq -s '.[0].total.statements.pct as $baseline | .[1].total.statements.pct as $current | {baseline: $baseline, current: $current, delta: ($current - $baseline)}' coverage/baseline.json coverage/coverage-summary.json
# Find files with lowest coverage
cat coverage/coverage-summary.json | jq 'to_entries | map(select(.key != "total")) | sort_by(.value.statements.pct) | .[0:10] | .[] | {file: .key, statements: .value.statements.pct, branches: .value.branches.pct}'
# Find recently changed files with low coverage
git diff --name-only main...HEAD | while read file; do
jq --arg f "$file" '.[$f] // empty | {file: $f, statements: .statements.pct}' coverage/coverage-summary.json
done
For each uncovered file, identify:
## Coverage Drop Report
- **Current**: {{current_pct}}%
- **Baseline (main)**: {{baseline_pct}}%
- **Delta**: {{delta}}%
- **Files causing drop**:
| File | Coverage | Changed Lines | Tests Needed |
|------|----------|--------------|-------------|
| {{file}} | {{pct}}% | {{lines}} | {{count}} |
- **Recommended action**: {{write_tests / accept_drop / mark_as_excluded}}
After investigation:
/qe-test-generation — generate tests for uncovered files/mutation-testing — verify existing tests actually catch bugs/coverage-guard — prevent future drops还没有评价。欢迎分享你的使用感受。
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Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
中文简介正在准备中。当前显示原文说明。
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
中文简介正在准备中。当前显示原文说明。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
中文简介正在准备中。当前显示原文说明。
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
中文简介正在准备中。当前显示原文说明。
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
中文简介正在准备中。当前显示原文说明。