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Migrate the database access layer of a .NET/C# application from Oracle to PostgreSQL with Npgsql. Update packages, connection settings, parameter types, SQL, and stored procedure calls, then build the copied project and track completed migration tasks.
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Review every project in a .NET solution for Oracle dependencies, classify its migration status, and create a saved PostgreSQL migration plan with a project inventory and an order that prioritizes shared libraries.
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Convert Oracle stored procedures and functions, programs stored inside a database, into PostgreSQL equivalents. Preserve parameters and control flow while adapting Oracle syntax, resolving types, and mapping text sorting rules to the target environment.
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Create integration tests for .NET database access before migrating from Oracle to PostgreSQL. The tests record expected Oracle behavior with controlled test data and portable checks, providing a baseline for later migration validation.
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Analyzes one .NET project to plan integration tests for an Oracle-to-PostgreSQL migration. Identifies database access methods, prioritizes migration risks, and documents test cases, seed data, and coverage, including empty strings, NULL values, and timezone behavior.
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Diagnoses and resolves Amazon RDS for Oracle connectivity, authentication, networking, and driver troubleshooting. Applicable to any RDS-for-Oracle question including connecting a Python Lambda to RDS Oracle in a VPC with pooling and cold-start optimization, EKS pods to RDS Oracle via the Secrets Manager CSI driver with IRSA and SecretProviderClass, ORA-12170 cross-VPC timeouts from EC2, DPI-1047 cannot-locate-64-bit-Oracle-Client errors, and Oracle Connection Manager (CMAN) on EC2 as a proxy with HA across two AZs. Covers python-oracledb thin vs thick mode, init_oracle_client, RDS Proxy does NOT support RDS Oracle, port 1521, VPC peering, Transit Gateway, Kerberos with AWS Managed Microsoft AD, SSL/TLS/NNE, SSM port forwarding, EC2/ECS Fargate/EKS/Lambda, SQL Developer/DBeaver/Toad/SQLcl, and Secrets Manager.
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Manage work on a SeaClip-Lite project board through commands that create and update issues, control pipelines, configure schedules, and inspect recent activity, with JSON output for AI agents.
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Turn defects found during Oracle-to-PostgreSQL migration into structured bug reports. Document expected and actual behavior, reproduction steps, severity, root causes, proposed changes, and validation on both databases so teams can act on the findings.
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Review Active Directory permissions with ldap3, a Python library for directory queries. Identify excessive access granted to non-administrative accounts, explain potential privilege escalation paths, and produce a JSON report with affected objects and remediation recommendations.
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Active Directory ACL 滥用攻击方法论。当 BloodHound 发现 GenericAll/WriteDACL/WriteOwner/GenericWrite/ForceChangePassword 等危险 ACE 时使用。覆盖 ACE 枚举、权限滥用链、Shadow Credentials、RBCD 攻击
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Review Cisco IOS and IOS-XE configurations, choose read-only troubleshooting commands, and plan checks before and after network changes. Examine traffic filtering rules, interface settings, and configuration saving to avoid overlooked operational risks.
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Generates automated test oracles to verify correct software behavior. Creates assertion-based oracles (expected values), property-based oracles (invariants), differential oracles (comparing implementations), and metamorphic oracles (input transformations). Use when you need to generate assertions for test cases, identify invariants that should always hold, compare new vs legacy implementations, create metamorphic test relationships, validate function correctness, or improve test coverage with better verification strategies. Supports Python (pytest, unittest, hypothesis) and Java (JUnit, property testing).
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Use when deciding whether a project fits ACL versus EMNLP, NAACL, EACL, TACL, Computational Linguistics, COLM, or an ML venue, covering contribution typing for NLP work, long-versus-short paper choice, the annual theme track, Findings-tier expectations, and sharpening the computational-linguistics framing before writing starts.
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Expert knowledge for Azure Oracle development including troubleshooting, security, and integrations & coding patterns. Use when configuring Oracle TDE with Azure Key Vault, fixing Oracle@Azure issues, or exporting Exadata logs to Azure Monitor/Sentinel, and other Azure Oracle related development tasks. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), SAP HANA on Azure Large Instances (use azure-sap).
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NPU 图批量下发能力（aclgraph / aclgraph_ex 家族）的开发与调优。覆盖 mindiesd 的 aclgraph_backend：NPUGraph 静态 capture、全局 graph pool、 lazy capture、专用 copy stream + event 管线、shape/dtype 校验、max_entries 驱逐。 当用户需要减少 host launch 开销、静态 shape 大 batch 场景加速、 或排查 NPUGraph replay 输入不匹配问题时使用此 skill。 即使用户只提"批量下发""graph capture""图捕获"而未说 aclgraph，也应触发； pattern/Inductor 融合（default 后端）见 pattern-dev，算子本体见 operator-dev， 本技能只覆盖图批量下发。由 dev-workflow 的编译开发阶段与 model-auto-optimization 的 图下发场景指引加载。
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Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
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Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
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可让智能体向指定的WhatsApp联系人或群组发送消息及文件，同步并搜索聊天记录，也可按姓名、电话号码、关键词和日期查找过去的对话。
将问题和选定的项目文件交给另一个AI模型，获取代码审查、故障调查或设计建议。可在执行前检查发送内容和令牌用量，并选择API或浏览器方式运行。
Set up encrypted connections between devices with Tailscale and control access by user or device. The skill covers network routing, device name resolution, and self-hosting the coordination server with Headscale.
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Organization-grade identity-fabric mapping: tenant/federation fingerprinting and the pre-auth user-ENUMERATION oracle methodology — enumeration and fingerprint only, never credential submission. Covers domain-to-tenant resolution (Microsoft getuserrealm.srf Managed/Federated namespace check, Entra OIDC metadata tenant-GUID extraction, Autodiscover v2), keyless Microsoft tenant-federation mapping (GetFederationInformation SOAP -> sibling-domain discovery, discover-only ROE, FEDERATED_WITH provenance edge held out of attack-path pivoting), Okta org-slug derivation + OIDC fingerprint + governed custom-domain enumeration, ADFS passive/active fingerprint + version inference, Google Workspace MX-correlated detection, generic OIDC (Auth0/Keycloak/Ping Identity/OneLogin/Duo) discovery, SAML metadata (5 paths), Azure AD Seamless-SSO Negotiate-challenge detection, Microsoft Defender for Identity (MDI) sensor-API presence check, the user-enumeration oracle methodology for Microsoft GetCredentialType (IfExistsResult semantics: exists / doesn't-exist / exists-in-federated-tenant / throttled) and Okta /api/v1/authn (errorCode differential), Medium-detectability discipline with a hard 20-candidate-per-tenant cap and admin/role interest-based ranking, and name x confirmed-email-pattern login-candidate synthesis that FAILS CLOSED with zero output when no org pattern is confirmed. Grounded directly in a production ASM implementation's sso_idp.py, tenant_recon.py, and core/email_patterns.py modules. Deepens — does not duplicate — offensive-osint skill's Identity Fabric endpoint reference with the tenant-federation MAP, the oracle WORKFLOW, and the candidate-SYNTHESIS methodology that reference lacks. Use when fingerprinting an organization's identity provider, mapping its tenant/federation boundary, running an authorized pre-auth user-enumeration pass, or synthesizing login candidates from harvested names to feed that oracle — never for password spray, credential submission, or auth bypass.
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Use when planning an ACL project calendar across ACL Rolling Review cycles, covering cycle selection against conference commitment windows, backward planning from an ARR deadline, the review-response-meta-review timeline, commitment decisions, resubmission loops to later cycles, and camera-ready through ACL Anthology publication.
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Three modes for CS-conference papers (CVPR/ICCV/ECCV vision, ACL/EMNLP/NAACL NLP, ICLR/NeurIPS/ICML/AAAI ML). DIRECT-EDIT mode (common): the user describes a change in Chinese or English and the manuscript (LaTeX or Markdown) is edited directly through a CS-venue writing toolkit with author sign-off (use for 改这段 / 把中文想法写成 latex / polish / de-AI / translate / compress a passage). REVIEW mode (occasional, pre-submission): harden the paper through an adversarial courtroom review engine (N holistic domain reviewers / contestability routing / two-sided trial / three-way verdict / clerk-converged multi-round loop) with consensus-gated, author-signed revisions (use for review / critique / 审稿 / 评审 / mock-review). AUTO mode (unattended, opt-in via /goal): run the review-revise loop toward a verifiable goal, applying safe fixes under a drift-bounded policy and queueing risky ones. Resolves all inputs at runtime, no hardcoded paths. Not a from-scratch drafter (use ml-paper-writing) and not an official-venue rebuttal.
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Fix S3 "InvalidArgument" errors when using Google Cloud Storage S3-compatible API with ObjectCannedAcl::PublicRead or x-amz-acl headers. Use when: (1) put_object or upload_blob fails with InvalidArgument on GCS, (2) Using aws-sdk-s3 Rust crate with GCS endpoint (storage.googleapis.com), (3) Bucket has uniform bucket-level access enabled (GCS default since 2023), (4) S3 operations work on MinIO/AWS but fail on GCS. GCS rejects per-object ACLs when uniform bucket-level access is enabled.
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