Azure
CloudCommonly used with
Skills using Azure (215)
cirq
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
agent-framework-azure-ai-py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
qodo-pr-resolver
Review and resolve PR issues with Qodo - get AI-powered code review issues and fix them interactively (GitHub, GitLab, Bitbucket, Azure DevOps)
cloud-penetration-testing
This skill should be used when the user asks to "perform cloud penetration testing", "assess Azure or AWS or GCP security", "enumerate cloud resources", "exploit cloud misconfigurations", "test O365 security", "extract secrets from cloud environments", or "audit cloud infrastructure". It provides comprehensive techniques for security assessment across major cloud platforms.
gpt-image-skill
Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Use ONLY when the user explicitly names OpenAI or GPT as the provider: "gpt image", "openai image", "generate image with openai", "用 openai 画图", "用 GPT 生成图片". For generic image requests without a provider, use nanobanana-skill instead. Do NOT use for diagrams (架构图/流程图) — draw those with Mermaid or code.
azure-functions
Build, review, or migrate Azure Functions in .NET with correct execution model, isolated worker setup, bindings, DI, and Durable Functions patterns. USE FOR: working on Azure Functions in .NET; migrating from the in-process model to the isolated worker model; adding Durable Functions, bindings, or host configuration. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
microsoft-agent-framework
Build .NET AI agents and multi-agent workflows with Microsoft Agent Framework using the right agent type, threads, tools, workflows, hosting protocols, and enterprise guardrails. USE FOR: building or reviewing .NET code that uses Microsoft.Agents.*, Microsoft.Extensions.AI, AIAgent, AgentThread, AgentSession, or Agent Framework hosting packages; choosing. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
045-planning-azure-devops
Use when you need Azure DevOps CLI guidance to verify installation, configure organization and project context, discover work item IDs by optional WIQL filters, and execute safe work-item create/update operations. Uses an interactive install gate - if `az` or the Azure DevOps extension is missing, ask whether to show installation guidance before any work item commands. This should trigger for requests such as Azure DevOps work item list; List Azure Boards work item IDs; Azure DevOps WIQL query; Azure DevOps CLI planning workflow. Part of Plinth Toolkit
add-teams
Add Microsoft Teams channel integration via Chat SDK.
playwright-ci
Production-ready CI/CD configurations for Playwright — GitHub Actions, GitLab CI, CircleCI, Azure DevOps, Jenkins, Docker, parallel sharding, reporting, code coverage, and global setup/teardown.
prd-breakdown
Use when user wants to break a PRD into Azure DevOps work items via vertical-slice plan. Workflow: read PRD → quiz user to lock durable decisions → draft slices with HITL/AFK + blocked_by → call az CLI directly via Bash to create items + Predecessor relations. Idempotent re-runs via fingerprint markers embedded in description. Pure prompt-driven — Claude is the runtime, no Python helper, no install ceremony. Trigger phrases: prd-breakdown / 拆 PRD / 切 vertical slice / 推 slice 到 ADO.
agent-framework-azure-ai-py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
cloud-security--container-hardening
AWS/Azure/GCP security auditing, container and Kubernetes hardening, Infrastructure as Code scanning, and cloud compliance assessment
azure-cloud-architect
Design Azure architectures for startups and enterprises. Use when asked to design Azure infrastructure, create Bicep/ARM templates, optimize Azure costs, set up Azure DevOps pipelines, or migrate to Azure. Covers AKS, App Service, Azure Functions, Cosmos DB, and cost optimization.
building-cloud-siem-with-sentinel
This skill covers deploying Microsoft Sentinel as a cloud-native SIEM and SOAR platform for centralized security operations. It details configuring data connectors for multi-cloud log ingestion, writing KQL detection queries, building automated response playbooks with Logic Apps, and leveraging the Sentinel data lake for petabyte-scale threat hunting across AWS, Azure, and GCP security telemetry.
conducting-cloud-incident-response
Responds to security incidents in cloud environments (AWS, Azure, GCP) by performing identity-based containment, cloud-native log analysis, resource isolation, and forensic evidence acquisition adapted for ephemeral cloud infrastructure. Activates for requests involving cloud incident response, AWS security incident, Azure compromise, GCP breach, cloud forensics, or cloud identity compromise.
azure-usage
This skill should be used when user asks to "query Azure resources", "list storage accounts", "manage Key Vault secrets", "work with Cosmos DB", "check AKS clusters", "use Azure MCP", or interact with any Azure service.
azure-patterns
Azure Functions, Cosmos DB modeling, Service Bus patterns, Bicep templates
dt-obs-azure
Azure cloud resources including VMs, VMSS, SQL Database, Storage, AKS, App Service, Functions, VNet networking, load balancers, Event Hubs, Container Apps, and Key Vault. Monitor Azure infrastructure, analyze resource usage, audit security posture, and manage organizational hierarchy across subscriptions and resource groups.
dt-obs-log-semantic-mapping
Suggest and validate semantic dictionary (SD) mappings for audit log integrations using raw vendor log payloads or live ingested events. Use when: mapping a vendor audit log feed, authentication logs, user activity logs to the Dynatrace SD; checking required semantic fields; proposing OpenPipeline processor extraction rules based on DQL; running runtime validation (fetches live logs by log.source, then applies static validation).
terrashark
Prevent Terraform/OpenTofu hallucinations by diagnosing and fixing failure modes: identity churn, secret exposure, blast-radius mistakes, CI drift, and compliance gate gaps. Use when generating, reviewing, refactoring, or migrating IaC and when building delivery/testing pipelines.
analyzing-azure-activity-logs-for-threats
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
analyzing-cloud-storage-access-patterns
Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls (GetObject spikes), and potential data exfiltration using statistical baselines and time-series anomaly detection.
pr
Create a PR from a committed and pushed branch after task-defined checks pass. Ready PRs continue to fixup in the primary conversation.
cloud-iam-deep
Cloud IAM red-team attack chain across AWS, Azure, GCP — focused on EXTERNAL exploitation paths and post-credential-discovery privilege analysis. Covers IAM enumeration (aws iam, az role, gcloud iam), STS/AssumeRole chaining, Azure Managed Identity abuse (via SSRF/leak), GCP service account JSON abuse, IMDSv1/v2 attacks via SSRF, K8s ServiceAccount token privilege analysis once held (token discovery / cluster exposure is owned by hunt-k8s), role-trust-policy confused-deputy, cross-account assume-role enumeration, IAM privilege escalation patterns (24+ AWS, 8+ Azure, 6+ GCP), and AWS Cognito Identity Pool unauthenticated-role attack chain (GetId → GetCredentialsForIdentity → IAM role abuse). Built for the case where recon yields a credential (key, JSON, token) and you need to know what it grants and how to escalate. Use when an AWS key / Azure secret / GCP service account JSON / K8s SA token surfaces from a code repo, JS bundle, APK, breach corpus, or SSRF chain.
stock-peer-comparison-review
Independently benchmark a US-listed target equity against 2-4 closest peers on a fixed 12-item ratio panel — growth rates, profitability, capital intensity, balance sheet leverage, capital returns, and valuation multiples. Provides cross-validation for moat and market-share claims made by the business and industry reviewers. Trigger when running a Standard-or-deeper stock-analysis-lead workup; supplies the independent quantitative comparison that single-name analysis cannot. Dispatched by stock-analysis-lead.
design-ask
Unpacks poorly written Jira or Azure DevOps tickets into design-relevant framing. Use this skill whenever a designer pastes in a ticket description, acceptance criteria, or any product/engineering requirement and wants to understand what the actual design work is. Trigger when someone says things like "can you help me understand this ticket," "what is this ticket actually asking for," "decode this ticket," "unpack this AC," "what design work does this require," or pastes raw ticket text and asks what to do with it. Also trigger when a designer mentions they're confused about scope, unclear on requirements, or trying to figure out if something is a content change vs. a flow vs. a new pattern. This skill is especially useful when tickets are written prescriptively (they specify a solution like "add a dropdown") instead of descriptively (explaining the user need), or when acceptance criteria are written from a dev/QA perspective with no design context.
migrate-to-teamcity
Migrating CI/CD pipelines to TeamCity. Use when the user wants to migrate, convert, or switch to TeamCity from GitHub Actions (.github/workflows/) or Bamboo (bamboo-specs/*.yml), even if they only say "move our CI". Other CI systems (GitLab, Jenkins, CircleCI, Azure DevOps, Travis, Bitbucket) are not supported yet.
fetch-pr-review
Fetch all reviewer comments from a pull request URL (GitHub, Azure DevOps, …) and save them as a self-contained markdown PR-REVIEW file in the task's planning directory. Fetch only — no fixing or replying.
fetch-ticket
Fetch one or more tickets/issues from their tracker (Azure DevOps, Jira, GitHub, …) and save each as a self-contained markdown ticket file. Fetch only — no analysis or planning.
hunt-cloud-misconfig
Hunt cloud / infrastructure misconfigurations. AWS: public S3 buckets (s3:GetObject anonymous), permissive bucket policies (PutObjectAcl public-write), exposed CloudFront origin, public Lambda function URL, public RDS snapshot, IAM credentials in JS bundles, AWS metadata accessible via SSRF. GCP: public GCS buckets, exposed Cloud Run services, leaked service account JSON. Azure: public blob containers, exposed Function App. (Kubernetes/Docker exposure is owned by hunt-k8s; CI/CD pipeline attacks by hunt-cicd; post-credential IAM escalation by cloud-iam-deep.) Detection: targeted dorking, certificate transparency, JS bundle secret extraction, port scan for known service ports. Validate: actual data read / write / RCE. Use when hunting cloud-native storage and compute misconfig (S3/GCS/Blob, IMDS-via-SSRF, serverless, public managed services).
academic-paper-drafting
End-to-end academic paper drafting for CHI, HBR, journals, and conferences with venue-specific templates, drafting workflows, and revision strategies.
academic-research
Research project scaffolding, thesis/dissertation writing, literature reviews, publication workflows, and the AI assistant-assisted academic workflows
agent-evaluation
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks
agent-governance
Patterns for adding safety, trust, and policy enforcement to AI agent systems -- control which tools agents can call, what content they process, and maintain accountability through audit trails.
agent-supply-chain
Generate and verify integrity manifests for AI agent plugins and tools -- detect tampering, enforce version pinning, and establish supply chain provenance (the SLSA/Sigstore gap for agent ecosystems).
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.
agentic-eval
Patterns for agent self-improvement through iterative evaluation and refinement -- generate, evaluate, critique, refine loops that move beyond single-shot generation.
ai-agent-design
Design autonomous AI agents that reason, plan, and execute tasks
content-safety-implementation
Azure Content Safety API integration, multi-layer defense pipeline, output validation, and operational safety controls
copilot-sdk
Build applications powered by GitHub Copilot using the Copilot SDK — session management, custom tools, streaming, hooks, MCP servers, BYOK, deployment patterns
evaluate-plugin
Evaluate plugin quality. Use when user says "evaluate plugin", "review plugin quality", "score my plugin", "check plugin", "rate plugin".
foundry-agent-platform
Microsoft Foundry agent deployment, orchestration, and cloud-native AI service patterns
ii-commons
Deterministic search across arXiv, PubMed/PMC, and US policy corpora with daily freshness cutoffs.
latex-paper-conversion
This skill should be used when the user asks to convert an academic paper in LaTeX from one format (e.g., Springer, IPOL) to another format (e.g., MDPI, IEEE, Nature). It automates extraction, injection, fixing formatting, and compiling.
literature-review
Systematic literature search, synthesis, gap identification, and narrative construction for academic research
llm-model-selection
Choosing the right model for the task — power vs. cost vs. speed.
make-skill-template
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional scripts/references/assets folders.
mcp-builder
Build MCP servers for LLM tool integration — Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK)
multi-agent-architect
Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows.
multi-agent-orchestration
Coordinate multiple AI agents for complex tasks — decomposition, delegation, and synthesis
presenting-conference-talks
Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.
research-first-development
Build knowledge bases that build software — research before code, teach before execute
spline-3d-integration
Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
neo-azure-pipelines
Use this skill when the user asks to create, review, debug, or modernize Azure Pipelines YAML for CI/CD, especially .NET builds, Azure App Service deploys, or IIS/on-premises deploys. Prefer bundled templates and verify task syntax against Microsoft docs when version-specific accuracy matters.
accounting-maestro
Route accounting questions to the narrowest specialist in the catalog. Use when you do not already know the specialist needed. Not for direct accounting answers; Maestro classifies, dispatches, and synthesizes only. Dispatches single agent for focused tasks, parallel team (max 3) for multi-domain tasks. Never auto-dispatches any write-capable agent — requires explicit human confirmation before routing to any agent with ledger or ERP write access.
agentic-delegation
Delegate exploration sweeps to Haiku subagents and bulk writing to Sonnet subagents while the orchestrator keeps architecture, security-sensitive edits, and commits; use at the start of any multi-step task in this repo to minimize token spend by delegating to cheaper models.
alibaba-ack-container-platform-operator
Operate ACK clusters (managed/dedicated/serverless), ACR container registries, ASM service mesh, and container workload placement. Guide ACK type selection, OIDC workload identity, and image vulnerability posture.
alibaba-actiontrail-audit-analyst
Query Alibaba Cloud ActionTrail management API call history, build governance audit reports, create SLS-based compliance evidence trails, and detect anomalous admin activity patterns.
alibaba-analyticdb-realtime
Operate AnalyticDB for MySQL and PostgreSQL, Hologres real-time OLAP analytics, and DAS real-time diagnostics for sub-second interactive analytics workloads.
alibaba-certificate-manager-issuer-review
Review Alibaba Cloud SSL Certificate Service — DV/OV/EV certificate lifecycle, auto-renewal configuration, certificate deployment to SLB/ALB/CDN/OSS, domain validation status, CAA record compliance, and expiry monitoring.
alibaba-change-impact-advisor
Pre-change blast radius analysis for Alibaba Cloud — Resource Directory OU scope mapping, RAM policy cascade effects, VPC peering and CEN impact, SLB backend pool changes, RDS connection pool disruption, and safe change sequencing.
alibaba-cost-anomaly-watch-coordinator
Detect and coordinate response to Alibaba Cloud cost anomalies — MaxCompute CU vs on-demand billing mismatch, ECS spot instance interruption cascades, CDN traffic spike billing, OSS API request cost explosions, budget alert → DingTalk notification → remediation playbook.
alibaba-cost-finops-analyst
Analyze Alibaba Cloud spend via Cost Manager, optimize Savings Plans and Reserved Instance coverage, design resource tagging strategy, investigate budget drift, and right-size over-provisioned ECS, RDS, and MaxCompute resources.
alibaba-daily-operations-briefing-coordinator
Coordinate the daily Alibaba Cloud operations standup — cost delta from Cost Manager, ActionTrail anomaly review, ACK pod failure triage, quota utilization warnings, Security Center finding review, and action item assignment.
alibaba-devops-cicd-operator
Build CI/CD pipelines with RDC (Research and Development Collaboration), Cloud Build, Flow pipeline automation, ACR (Container Registry) image lifecycle, and environment promotion strategies.
alibaba-ecs-compute-operator
Operate ECS instances, Auto Scaling groups, ECI serverless containers, and Cloud Assistant O&M automation. Handle instance lifecycle, image management, placement groups, spot/preemptible instances, and scheduled scaling.
alibaba-event-driven-architecture-review
Review Alibaba Cloud EventBridge, MNS (Message Notification Service), RocketMQ, and MSE event-driven designs — dead-letter queues, message ordering, idempotency, retry storm prevention, schema registry, and consumer group lag monitoring.
alibaba-function-serverless-operator
Deploy and operate Function Compute 3.0, SAE (Serverless App Engine) applications, and EDAS microservice apps. Guide the serverless vs. PaaS vs. container platform choice for each workload type.
alibaba-iac-change-safety-review
Review Terraform and ROS (Resource Orchestration Service) changes targeting Alibaba Cloud — blast radius analysis, resource deletion detection, cross-stack dependency impact, Resource Directory scope, and rollback plan completeness.
alibaba-kms-secret-lifecycle-steward
Audit and govern Alibaba Cloud KMS key lifecycles, Certificate Manager, SSM (Secrets Manager), and HSM key operations. Ensure encryption-at-rest coverage and rotation compliance across CMKs, envelope encryption, and certificate lifecycle.
alibaba-landing-zone-architect
Design Alibaba Cloud landing zone — Resource Management org tree, Cloud SSO, Control Policy (SCP equivalent), multi-account governance baseline, billing account structure, and ActionTrail centralization.
alibaba-live-ack-rollout-guard
Gate ACK deployment mutations, node pool scaling, and cluster version upgrades against rollback posture and workload disruption budget. Prevents irreversible cluster version upgrades from proceeding without PodDisruptionBudget verification, node drain confirmation, and explicit operator approval.
alibaba-live-cost-budget-action-guard
Gate live financial authority actions — budget threshold changes, Savings Plan purchases, and Reserved Instance commitments. These are committed spend or can trigger immediate service suspension.
alibaba-live-kms-key-mutation-guard
Gate KMS key deletion and disable operations. All data encrypted with a deleted CMK (OSS SSE-KMS, ECS encrypted disks, RDS/PolarDB TDE) becomes permanently and irrecoverably inaccessible. This guard enforces complete CMK dependency audits, deletion window confirmation, and explicit operator approval before any key state mutation.
alibaba-live-oss-bucket-policy-guard
Gate OSS bucket ACL and policy mutations — public-read/write ACL exposes data to internet crawlers within seconds; CN-* cross-border replication requires DSL Article 31 assessment.
alibaba-live-ram-policy-change-guard
Gate RAM policy/role mutations against the Alibaba Cloud account hierarchy. RAM AdministratorAccess assignment, policy deletion with active STS tokens, and Resource Directory Control Policy changes carry account-wide or org-wide blast radius. This guard enforces blast-radius assessment, STS token impact analysis, and explicit authority approval before any policy mutation is executed.
alibaba-live-rds-polardb-mutation-guard
Gate RDS/PolarDB instance deletion, spec downgrade, and backup policy removal — database deletion without verified backup is permanently destructive.
alibaba-load-balancer-traffic-engineer
Traffic engineering for Alibaba Cloud load balancers — CLB (Classic, legacy), ALB (Application Load Balancer, Layer 7 advanced routing), NLB (Network Load Balancer, Layer 4 high throughput), and GA (Global Accelerator) — type selection, health check design, WAF integration, and traffic distribution.
alibaba-maestro
Alibaba Cloud Maestro routing skill. Classify the user's Alibaba Cloud task, select the narrowest specialist agent or the right team of specialists from the catalog, and dispatch them — single specialist for focused tasks, parallel team (max 4) for multi-domain tasks. Never auto-dispatch live-guard agents. China-region aware — flags when workloads are in mainland China regions and applicable regulatory frameworks (MLPS 2.0, DSL, PIPL) differ from international regions.
alibaba-maxcompute-dataworks-analyst
Manage MaxCompute CU package governance, DataWorks scheduling, Quick BI reporting, and PAI ML platform. Optimize query cost and job scheduling efficiency for big data workloads.
alibaba-migration-architect
Plan Alibaba Cloud migrations using SMC (Server Migration Center), DTS (Data Transmission Service) for data sync, OSSImport for object storage migration, and design cutover sequencing with rollback paths.
alibaba-mse-microservice-engine
Configure and operate Alibaba MSE (Microservice Engine) — Nacos service discovery and configuration management, Sentinel rate limiting and circuit breaking, Seata distributed transactions, and ARMS APM for microservices observability.
alibaba-network-architect
Design Alibaba Cloud network topology — VPC peering, CEN for multi-VPC/multi-region connectivity, Express Connect for private circuits, SLB/ALB/NLB/CLB load balancer selection, and Smart Access Gateway for branch offices.
alibaba-observability-incident-responder
Respond to Alibaba Cloud incidents using CloudMonitor alarms, SLS log analytics, ARMS APM distributed tracing, and alert governance for ECS, RDS, ACK, and network services.
alibaba-oss-data-perimeter-governor
Govern Alibaba Cloud OSS data perimeters — bucket ACL and policy conflict resolution, Block Public Access configuration, cross-account access via RAM role, VPC endpoint binding for private access, WORM (Object Lock), and MLPS 2.0 data residency compliance.
alibaba-oss-storage-steward
Manage OSS lifecycle policies, bucket policy and ACL governance, NAS/CPFS shared file storage, cross-region replication, and access control hardening for Alibaba Cloud object and file storage.
business-combinations-advisor
Multi-jurisdiction business combinations reference framework covering acquisition accounting, purchase price allocation, goodwill, and post-combination integration under ASC 805 and IFRS 3.
close-cycle-advisor
Multi-jurisdiction financial close cycle reference framework covering month-end, quarter-end, and year-end close. Provides regulatory filing deadlines by jurisdiction (SEC, EU TD, UK DTR, TSE/FSA, CSRC, SEBI, ASX, HKEX), record-to-report process steps, reconciliation standards, intercompany elimination requirements (ASC 810/IFRS 10), FX translation methodology (ASC 830/IAS 21), deferred tax computation (ASC 740/IAS 12), and GAAP variant comparison tables across US GAAP, IFRS, UK FRS 102, German HGB, JGAAP, CAS, and Ind AS. Advisory only — all outputs require external auditor verification for local statutory purposes.
consolidation-intercompany-advisor
Multi-jurisdiction consolidation scope and intercompany elimination reference framework covering ASC 810 / IFRS 10 control models, VIE (Variable Interest Entity) primary beneficiary analysis, NCI measurement, equity method accounting (ASC 323 / IAS 28), intercompany eliminations (sales, profit-in-inventory, debt, interest, dividends), deferred tax on IC eliminations (ASC 740 / IAS 12), and adversarial group reporting scenarios across US GAAP, IFRS, German HGB, JGAAP, CAS, and Ind AS.
definition-of-done
The ordered finish-line runner for any change in this repo — generators, then the asset-integrity refresh last on its own, then the full gate suite, then commit and push; use before declaring any change finished or whenever the stop hook reports uncommitted or untracked changes.
equity-compensation-advisor
Multi-jurisdiction equity-based compensation reference framework covering stock options, RSUs, ESPPs, and performance awards under ASC 718 and IFRS 2.
fixed-assets-advisor
Multi-jurisdiction fixed assets, depreciation, and impairment reference framework covering PP&E, intangibles, right-of-use assets, and goodwill under US GAAP and IFRS.
fx-translation-advisor
Multi-jurisdiction reference framework for foreign currency translation and remeasurement covering functional currency determination, ASC 830 / IAS 21 method selection, CTA in OCI, highly inflationary economy treatment, net investment hedge interactions, and multi-GAAP comparison across US GAAP, IFRS, German HGB, JGAAP, CAS 19, and Ind AS 21.
hedge-accounting-advisor
Multi-jurisdiction hedge accounting reference framework covering ASC 815 (US GAAP) and IFRS 9 hedge designation, effectiveness testing, OCI mechanics, IFRS 9 rebalancing, cost-of-hedging approach, discontinuation rules, embedded derivatives, and local GAAP treatments (German HGB §254, JGAAP ASBJ No.10, CAS 24, Ind AS 109). Includes fair value hedges, cash flow hedges, and net investment hedges with a multi-jurisdiction comparison table. Advisory only — all outputs require verification by qualified accountants and external auditors.
indirect-tax-einvoicing-advisor
Multi-jurisdiction indirect tax and e-invoicing reference framework covering VAT/GST compliance and mandatory electronic invoicing mandates across EU, Brazil, India, Mexico, China, UK, and Australia.
lease-accounting-advisor
Multi-jurisdiction lease accounting reference framework covering ASC 842 (US GAAP) and IFRS 16, with additional coverage of UK FRS 102 (2024 periodic review amendments effective 1 Jan 2026), German HGB, JGAAP (ASBJ Statement No. 34, effective FY beginning on/after 1 Apr 2027), CAS No. 21 (China), and Ind AS 116 (India). Covers lease identification, lessee classification (ASC 842 dual model vs. IFRS 16 single finance model), right-of-use asset and lease liability measurement, discount rates (incremental borrowing rate vs. rate implicit in lease), lessor accounting (sales-type / direct-financing / operating), short-term and low-value exemptions, lease modifications and remeasurement, and sale-leaseback transactions. Advisory only — all outputs require external auditor verification for local statutory purposes.
model-registry-refresh
Re-verify and extend catalog/model-registry.json — the fail-closed model-name and reasoning-effort matrix scripts/model-policy.mjs validates against — via delegated Context7-backed research, orchestrator-owned registry edits, and the full validation chain; use when a policy check fails on an unregistered model, a provider ships new models, or the registry has gone stale.
payroll-advisor
Multi-jurisdiction payroll accounting reference framework covering compensation expense recognition, employee benefits, pension/post-retirement obligations, and payroll tax compliance.
pr-babysit
The repeatable loop for watching a pull request until it is merged or closed, pairing webhook subscription with a scheduled self check-in so CI results, new pushes, and merge-conflict transitions are never missed; use when asked to watch, babysit, or autofix a PR, or right after creating one.
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