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Testing & QA
Unit tests, integration tests, E2E, QA, validation, and test automation
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- Modeling Fx Derivative PricingPrices FX options and exotic structures with Garman-Kohlhagen, local volatility, and stochastic volatility models. Use when pricing FX derivatives, evaluating FX options, or modeling cross-currency products.Votes: 0GitHub stars: 41
- Modeling Clo Cash Flow WaterfallsBuilds CLO waterfall models with coverage tests, reinvestment criteria, and distribution allocation across tranches. Use when modeling CLO structures, analyzing OC/IC tests, or projecting tranche returns.Votes: 0GitHub stars: 41
- Modeling Book Building DynamicsStructures book-building analysis with demand tiers, allocation methodology, and price sensitivity assessment. Use when managing book-building, analyzing investor demand, or optimizing allocation strategies.Votes: 0GitHub stars: 41
- Building Multi Factor Equity ModelsConstructs multi-factor models with value, momentum, quality, size, and volatility factor definitions and portfolio construction rules. Use when building factor models, designing systematic strategies, or constructing factor portfolios.Votes: 0GitHub stars: 41
- Building Custom Factor DefinitionsConstructs proprietary factor definitions with signal specification, universe application, and orthogonalization methodology. Use when defining custom factors, creating proprietary signals, or building factor libraries.Votes: 0GitHub stars: 41
- Analyzing Volatility Surface DynamicsEvaluates implied volatility surfaces with skew analysis, term structure dynamics, and surface fitting methodologies. Use when analyzing vol surfaces, assessing skew dynamics, or calibrating volatility models.Votes: 0GitHub stars: 41
- Analyzing Make Whole And Redemption ClaimsEvaluates make-whole premium claims in bankruptcy with contract interpretation, present value disputes, and secured status analysis. Use when analyzing make-whole claims, evaluating redemption disputes, or assessing premium recovery.Votes: 0GitHub stars: 41
- Analyzing Equity Linked InstrumentsEvaluates convertible bond and mandatory convertible structures with equity sensitivity, credit floor, and Greeks analysis. Use when analyzing convertible offerings, pricing equity-linked instruments, or modeling conversion economics.Votes: 0GitHub stars: 41
- Analyzing Credit Agreement TermsEvaluates credit agreement provisions with borrower flexibility, lender protections, and documentation comparison analysis. Use when reviewing credit agreements, analyzing doc terms, or comparing loan documentation.Votes: 0GitHub stars: 41
- Recursive TddUse when implementing any code in recursive-mode Phase 3. Enforces strict RED-GREEN-REFACTOR discipline with The Iron Law - no production code without a failing test first. Trigger phrases: "implement this", "add feature", "fix bug", "write a failing test", "TDD".Votes: 0GitHub stars: 117
- 02 Evaluation DatasetsUse when you need to create, manage, or load evaluation datasets for testing agent quality. Covers the MLflow GenAI data format, persisting benchmarks in Unity Catalog, merging records without duplicates, and validating data before evaluation — even if you just want "give me a dataset I can pass to mlflow.genai.evaluate()." Also use when building benchmarks from production traces or SME labels. SDLC Step 2.Votes: 0GitHub stars: 6
- 04 Grain ValidationPre-merge grain validation patterns for Gold layer fact tables. Use when creating fact table merge scripts to validate that DataFrame grain matches DDL PRIMARY KEY, prevent transaction vs aggregated confusion, and catch grain mismatches before MERGE. Includes grain inference functions, pre-merge validation, validation SQL, and common grain mismatch errors.Votes: 0GitHub stars: 6
- 07 Appkit Chat HistoryAdd persistent chat history to an AppKit application using the Lakebase plugin and the Serving plugin (both AppKit-native, no Vercel AI SDK). Covers database schema, session auth middleware, a server-side proxy route that streams from `AppKit.serving("agent").asUser(req).stream()` while persisting assistant messages and capturing MLflow `trace_id`, the history API routes, a history sidebar, and ephemeral-mode fallback. Use when asked to persist conversations, add chat history, save messages, ...Votes: 0GitHub stars: 6
- 06d Appkit Agent App ProxyWire an AppKit frontend (Databricks App) to a separate Agent App backend (Databricks App hosting mlflow.genai.agent_server or ResponsesAgent) with OBO token forwarding via x-forwarded-access-token, app-to-app service principal auth, dual-format SSE streaming, and the /api/chat contract. Use this skill when the agent is deployed as its own Databricks App — not as a Model Serving endpoint. Triggers on "agent app backend", "two apps", "appkit plus agent app", "proxy agent app", "agent-backend re...Votes: 0GitHub stars: 6
- Sunnypilot Settings1. **`list_sp_settings`** — 当前品牌可见项 + 当前值(来自 `params_catalog.json` + UI 自动发现) 2. **`get_params_catalog`** — 写入等级 tier 3. **车机 Settings UI** — 本安装树 `selfdrive/ui` 与扩展设置布局 4. **Dashy** — 若本机启用;`fetch_dashy_settings` 作补充Votes: 0GitHub stars: 7
- Post Tune Validation1. `save_tune_snapshot` 改参前 2. 短路线试驾 3. `compare_tune_ab` / `score_tune_session` 对比 4. 变差则 `restore_tune_snapshot` 或 `sp_rollback_last_tune` 5. `list_audit_trail` 查写入记录Votes: 0GitHub stars: 7
- Test Case GeneratorGenerate unit test cases from code. Use when the user asks to generate tests, create unit test files, produce Jest/Mocha/Pytest test cases, infer imports, mocks, assertions, parameters, happy paths, edge cases, and error-path coverage from source code.Votes: 0GitHub stars: 2
- Tech Tmax Backend Architect TeamSingle-Agent T-MAX Java backend architecture and engineering rule package. Use when Codex must design, implement, review, or diagnose T-MAX backend services involving Java 8, Spring Boot, Kylin, MyBatis XML, TiDB/MySQL, Apollo/Nacos, Feign, AnePageHelper, ResponseResult/DataGridResult, UEP export, Redis, RabbitMQ, or Maven multi-module repositories. Routes one Agent through repository intake, architecture decisions, API/data contracts, implementation diagnosis, quality/security review, and bo...Votes: 0GitHub stars: 2
- Tech Test Automation TeamEnd-to-end software test automation workflow. Use when the user wants a complete testing expert workflow covering TDD strategy, test case generation, unit/integration/E2E testing, API test automation, coverage, performance, QA test plans, release readiness, or quality dashboards. Coordinates superpowers-tdd, test-case-generator, test-patterns, e2e-testing-patterns, api-test-automation, and afrexai-qa-test-plan.Votes: 0GitHub stars: 2
- Tech Software Workshop Team软件工坊专家团。用于把软件想法推进到可生产交付,串联产品评审、代码审查、安全审计、QA测试、设计系统一致性和调试运维。来源于 WorkBuddy 技术工程卡片,并转换为 Codex 可安装的专家团入口格式。Votes: 0GitHub stars: 2
- Tech Bug Troubleshooting TeamUse this orchestrator skill for end-to-end technical bug troubleshooting in Codex, especially when the user asks for bug 排查, 多 agent debugging, root-cause analysis, log analysis, stack trace diagnosis, runtime error repair, regression-safe fixes, or a complete bug report. It coordinates log-analyzer, debug-pro, code-error-fixer, superpowers-systematic-debugging, bug-fixing-openclaw, and nexus-error-explain when those specialized skills are useful.Votes: 0GitHub stars: 2
- Tech Api Documentation TeamEnd-to-end API documentation workflow. Use when the user wants a complete API documentation expert workflow covering REST/GraphQL API design, OpenAPI/Swagger specs, code-to-doc extraction, API development validation, curl/mock testing, endpoint reference docs, SDK quickstarts, authentication, pagination, error formats, and developer-facing API docs. Coordinates ah-api-designer, sovereign-api-docs-generator, api-dev, api-doc-writer, qa-api-tester, and afrexai-api-docs.Votes: 0GitHub stars: 2
- Superpowers TddUse when implementing any feature or bugfix, before writing implementation code - enforces RED-GREEN-REFACTOR cycle: write failing test first, verify it fails, write minimal code, verify it passes, then refactorVotes: 0GitHub stars: 2
- Superpowers Systematic DebuggingUse when encountering any bug, test failure, or unexpected behavior. Enforces systematic four-phase debugging: root cause investigation, pattern analysis, hypothesis testing, and evidence-based fix verification.Votes: 0GitHub stars: 2