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denniszielke
GitHub creator profile

denniszielke

Repository-level view of 17 collected skills across 4 GitHub repositories.

skills collected
17
repositories
4
updated
2026-07-08
repository explorer

Repositories and representative skills

ops
network-and-computer-systems-administrators

Operations runbook for the agentic-banking-ecosystem repo. USE THIS SKILL when the user asks to deploy, build, provision, generate data, index, ingest, register, or clean up any part of the project — including infrastructure (azd), container images, Container Apps, the customer/product MCP servers, AI Search indexes, Foundry toolboxes, and the banking agents. Covers the full lifecycle: provision → generate data → build → deploy MCP → register toolboxes → index → ingest → deploy agents → clean up.

2026-07-08
data-model-requirements
financial-and-investment-analysts

Use when an agent asks what data is required for a customer, account or transaction to be compliant — an onboarding checklist, an eligibility gap analysis, or "what do we still need to collect". Maps each compliance rule onto the concrete banking data model and returns an extensive, field-level requirements breakdown.

2026-07-06
compliance-consultation
financial-and-investment-analysts

Use before asking Bank North's Compliance agent (the ask_compliance tool) any regulatory, KYC/AML, sanctions, fraud or product-eligibility question. Gathers the signed-in customer's real data first, then composes a precise, self-contained compliance question so the answer is specific to this customer and product rather than generic.

2026-07-06
product-ordering
office-clerks-general-439061

Use when the customer wants to order a product (e.g. open a savings account or apply for a credit card) or change their contact details. Enforces the human-in-the-loop confirmation and compliance guardrails.

2026-07-06
proactive-impulse
securities-commodities-and-financial-services-sales-agents-413031

Use when the agent should proactively spot an optimisation for the signed-in customer (e.g. a large uninvested balance on the current account) and offer help. Always asks permission first, then gives two concrete, personalised recommendations, and only acts human-in-the-loop.

2026-07-06
product-recommendation
financial-and-investment-analysts

Use when an employee asks which product to recommend to a customer, or to compare products for a specific customer need. Produces a grounded, segment-aware recommendation.

2026-07-06
account-enquiry
office-clerks-general-439061

Use when the customer asks about their balance, transactions, or personal details. Produces a grounded, confidential answer from the customer data MCP tools.

2026-07-06
escalation
financial-and-investment-analysts

Use when a request goes beyond compliance guidance — personalised financial or investment advice, an ambiguous or high-risk scenario, or a case the knowledge base does not cover. Routes the case to the correct human per the escalation matrix.

2026-07-02
Showing top 8 of 11 collected skills in this repository.
ops
network-and-computer-systems-administrators

Operations runbook for the agentic-supply-chain repo. USE THIS SKILL when the user asks to deploy, build, provision, ingest, index, register, or clean up any part of the project — including infrastructure (azd), container images, Container Apps, AI Search indexes, Foundry toolboxes, and hosted agents. Covers the full lifecycle: provision → build → index → ingest → deploy → register → clean up.

2026-06-29
campaign-planning
market-research-analysts-and-marketing-specialists-131161

Use when the user asks to plan a promotional campaign, build a weekly flyer, decide which products to discount, or design a multi-week promotion calendar. Produces a structured, margin-aware campaign plan grounded in competitor promotions and internal pricing.

2026-06-15
portfolio-analysis
market-research-analysts-and-marketing-specialists-131161

Use when the user asks how a category or the overall assortment is performing, where the margin and volume sit, which products or categories are strong or weak, or where there is headroom to grow margin. Produces an evidence-backed portfolio view across categories and personas.

2026-06-15
pricing-optimization
market-research-analysts-and-marketing-specialists-131161

Use when the user asks to optimise the price of a product or category, find the margin-maximising price, decide how deep a discount can go, or respond to a specific competitor price. Produces an elasticity- and margin-grounded pricing recommendation.

2026-06-15
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