AGENT SKILL
alphaear-reporter
暂无简介
使用场景Skill与智能体开发
- License 许可
- MIT
- 最近更新
- 2026-06-24
- Stars
- ★ 66
- Forks
- 24
02 资源文件 71
- 参考文档azure-pipelines-template.yaml5.2 KB
- 参考文档checklist.md8.5 KB
- 其他customize.toml1.5 KB
- 参考文档github-actions-template.yaml10.5 KB
- 参考文档gitlab-ci-template.yaml4.6 KB
- 参考文档harness-pipeline-template.yaml6.3 KB
- 参考文档instructions.md1.1 KB
- 其他jenkins-pipeline-template.groovy5.0 KB
- 参考文档resources/knowledge/adr-quality-readiness-checklist.md24.8 KB
- 参考文档resources/knowledge/api-request.md16.7 KB
- 参考文档resources/knowledge/api-testing-patterns.md26.3 KB
- 参考文档resources/knowledge/auth-session.md15.8 KB
- 参考文档resources/knowledge/burn-in.md6.4 KB
- 参考文档resources/knowledge/ci-burn-in.md22.0 KB
- 参考文档resources/knowledge/component-tdd.md15.8 KB
- 参考文档resources/knowledge/contract-testing.md38.1 KB
- 参考文档resources/knowledge/data-factories.md15.0 KB
- 参考文档resources/knowledge/email-auth.md24.0 KB
- 参考文档resources/knowledge/error-handling.md22.4 KB
- 参考文档resources/knowledge/feature-flags.md22.7 KB
- 参考文档resources/knowledge/file-utils.md13.4 KB
- 参考文档resources/knowledge/fixture-architecture.md12.1 KB
- 参考文档resources/knowledge/fixtures-composition.md11.0 KB
- 参考文档resources/knowledge/intercept-network-call.md13.2 KB
- 参考文档resources/knowledge/log.md11.0 KB
- 参考文档resources/knowledge/network-error-monitor.md12.0 KB
- 参考文档resources/knowledge/network-first.md15.9 KB
- 参考文档resources/knowledge/network-recorder.md15.1 KB
- 参考文档resources/knowledge/nfr-criteria.md26.0 KB
- 参考文档resources/knowledge/overview.md9.4 KB
- 参考文档resources/knowledge/pact-broker-webhooks.md13.1 KB
- 参考文档resources/knowledge/pact-consumer-di.md11.7 KB
- 参考文档resources/knowledge/pact-consumer-framework-setup.md35.0 KB
- 参考文档resources/knowledge/pact-mcp.md8.8 KB
- 参考文档resources/knowledge/pactjs-utils-consumer-helpers.md15.7 KB
- 参考文档resources/knowledge/pactjs-utils-overview.md10.2 KB
- 参考文档resources/knowledge/pactjs-utils-provider-verifier.md17.8 KB
- 参考文档resources/knowledge/pactjs-utils-request-filter.md7.1 KB
- 参考文档resources/knowledge/playwright-cli.md14.6 KB
- 参考文档resources/knowledge/playwright-config.md21.0 KB
- 参考文档resources/knowledge/probability-impact.md18.8 KB
- 参考文档resources/knowledge/recurse.md12.6 KB
- 参考文档resources/knowledge/risk-governance.md20.5 KB
- 参考文档resources/knowledge/selective-testing.md21.3 KB
- 参考文档resources/knowledge/selector-resilience.md19.3 KB
- 参考文档resources/knowledge/test-healing-patterns.md20.9 KB
- 参考文档resources/knowledge/test-levels-framework.md14.4 KB
- 参考文档resources/knowledge/test-priorities-matrix.md11.2 KB
- 参考文档resources/knowledge/test-quality.md24.0 KB
- 参考文档resources/knowledge/timing-debugging.md13.7 KB
- 参考文档resources/knowledge/visual-debugging.md17.1 KB
- 参考文档resources/knowledge/webhook-module-setup.md5.7 KB
- 参考文档resources/knowledge/webhook-providers.md6.3 KB
- 参考文档resources/knowledge/webhook-risk-guidance.md6.3 KB
- 参考文档resources/knowledge/webhook-template-matchers.md5.9 KB
- 参考文档resources/knowledge/webhook-testing-fundamentals.md3.1 KB
- 参考文档resources/knowledge/webhook-timeout-error.md5.6 KB
- 参考文档resources/knowledge/webhook-waiting-querying.md6.9 KB
- 资产文件resources/tea-index.csv10.7 KB
- 参考文档steps-c/step-01-preflight.md5.4 KB
- 参考文档steps-c/step-01b-resume.md3.7 KB
- 参考文档steps-c/step-02-generate-pipeline.md14.3 KB
- 参考文档steps-c/step-03-configure-quality-gates.md5.4 KB
- 参考文档steps-c/step-04-validate-and-summary.md2.4 KB
- 参考文档steps-e/step-01-assess.md1.2 KB
- 参考文档steps-e/step-02-apply-edit.md1.4 KB
- 参考文档steps-v/step-01-validate.md2.8 KB
- 参考文档validation-report-20260127-095021.md2.0 KB
- 参考文档validation-report-20260127-102401.md3.5 KB
- 参考文档workflow-plan.md448 B
- 参考文档workflow.yaml1.8 KB
03 SKILL.md 正文
AlphaEar Reporter Skill
Overview
This skill provides a structured workflow for generating professional financial reports. It includes planning, writing, editing, and creating visual aids (charts).
Capabilities
Capabilities
1. Generate Structured Reports (Agentic Workflow)
YOU (the Agent) are the Report Generator. Use the prompts in references/PROMPTS.md to progressively build the report.
Workflow:
- Cluster Signals: Read input signals and use the Cluster Signals Prompt to group them.
- Write Sections: For each cluster, use the Write Section Prompt to generate analysis.
- Assemble: Use the Final Assembly Prompt to compile the report.
2. Visualization Tools
Use scripts/visualizer.py to generate chart configurations if needed manually, though the Writer Prompt usually handles this via json-chart blocks.
Dependencies
sqlite3(built-in)
