HALBACH

· MD

Source index

Research date: 22 October 2026. Source cards retain provenance and bounded paraphrases. Full third-party webpages are not mirrored. Internal JSON evidence is frozen separately with checksums.

Machine-readable register · CSV index

Method and limitations

  • Primary sources were opened and relevant sections read after discovery. Search snippets alone do not substantiate included claims.
  • Documentation establishes documented behavior, vendor price lists establish dated list prices, and company/partner pages establish attributed public descriptions. None establishes Knauf economics.
  • Publication and update dates are retained where established. Unknown dates remain null. Access date is not publication date.
  • IDs are unique source records, not unique studies. A repeated URL across workstreams is the same underlying evidence.
  • Research findings, recommendations, synthetic arithmetic and measured internal results are labelled separately.
  • Recheck mutable provider terms and official pages before final delivery. Keep this dated snapshot when creating a later one.

Supplemental skill audit

The later adoption snapshot and selection memo [local reference omitted] supersede the initial A01-A11 recommendations. Their additional links are recorded in that separate snapshot rather than being counted as independent evidence in the original 78-record register.

Records

ID Topic Primary source or artifact Source card
C01 cost-economics OpenAI API pricing Card
C02 cost-economics Claude Platform pricing Card
C03 cost-economics Gemini Developer API pricing Card
C04 cost-economics Prompt caching Card
C05 cost-economics Batch API Card
C06 cost-economics Reasoning models Card
C07 cost-economics Context caching Card
C08 cost-economics NVIDIA NIM LLM benchmarking overview Card
C09 cost-economics Lambda on-demand GPU instances Card
C10 cost-economics How to Build a Generative AI Cost and Usage Tracker Card
C11 cost-economics Optimize resource consumption to minimize hosting costs Card
C12 cost-economics Architecting generative AI applications for production Card
C13 cost-economics OpenAI API changelog: GPT-6.1 Sol release Card
C14 cost-economics MLPerf Inference Datacenter benchmark methodology Card
C15 cost-economics Introducing the MLPerf End-to-End RAG Inference Benchmark Card
G01 governance FinOps for AI Overview Card
G02 governance Managing AI Value Using FinOps Practice Operations Card
G03 governance Unit Economics Card
G04 governance Allocation Card
G05 governance Effective Cost — FOCUS Specification 1.4 Card
G06 governance Consumed Unit — FOCUS Specification 1.4 Card
G07 governance Tutorial: Create and manage budgets Card
G08 governance Managing your costs with AWS Budgets Card
G09 governance Usage and Cost API Card
G10 governance How the agent loop works Card
G11 governance Semantic conventions for generative client AI spans Card
G12 governance Semantic Conventions for GenAI agent and framework spans Card
G13 governance Shadow AI discovery in Global Secure Access Card
G14 governance Usage Optimization Card
G15 governance FOCUS Specification 1.4 Card
K01 knauf-context Careers at Knauf — About Knauf Digital Card
K02 knauf-context Werkstudent im Bereich Product & System Data (m/w/d) Card
K03 knauf-context Access exclusive digital solutions via myKnauf Card
K04 knauf-context Alles auf knauf.com Card
K05 knauf-context Knauf Insulation celebrates launch of Knauf.com Online Platform Card
K06 knauf-context Trafford & Eccles Housing Project, Manchester Card
K07 knauf-context Knauf builds a more connected and responsive supply chain with Blue Yonder Card
K08 knauf-context Michael Rosskopf to Lead Knauf’s Gypsum Business Across DACH Card
O01 optimisation Building effective agents Card
O02 optimisation Latency optimization Card
O03 optimisation RouteLLM: Learning to Route LLMs with Preference Data, v4 Card
O04 optimisation Automatic Prefix Caching Card
O05 optimisation Prompt caching Card
O06 optimisation Batch API Card
O07 optimisation How we built our multi-agent research system Card
O08 optimisation Evaluation best practices Card
O09 optimisation Quantization Card
O10 optimisation Batchers Card
O11 optimisation Optimization and Tuning Card
O12 optimisation Speculative Decoding, v0.21.0 Card
P01 presentation-planning The Compelling Communicator: An interview with McKinsey’s Julie Goran Card
P02 presentation-planning The Minto Pyramid Principle Concept Card
P03 presentation-planning The Minto Pyramid Principle Course Card
P04 presentation-planning How the Duarte Big Idea Formula Can Make Your Presentation the Best Card
P05 presentation-planning Advanced stickynoting Card
P06 presentation-planning How the Design of Presentation Slides Affects Audience Comprehension Card
P07 presentation-planning Principles for Reducing Extraneous Processing in Multimedia Learning Card
P08 presentation-planning Slidedocs Card
P09 presentation-planning Advancing the Knowledge Base on Effective Presentation Slide Design: Three Pilot Studies Card
P10 presentation-planning The equity story you need for the long-term investors you want Card
P11 presentation-planning The 10/20/30 Rule of PowerPoint Card
A01 agent-presentation-skills Pyramid Principle pack Card
A02 agent-presentation-skills Dreambase Data Stories Card
A03 agent-presentation-skills Dreambase Data Presentation Card
A04 agent-presentation-skills PPT Prepare Card
A05 agent-presentation-skills Consultant Card
A06 agent-presentation-skills Presentation Master Card
A07 agent-presentation-skills Slidev Presentation Design Card
A08 agent-presentation-skills Enterprise AI Skills: storyline, critic and deck pipeline Card
A09 agent-presentation-skills McKinsey Problem-Solving Skills: Build a storyline Card
A10 agent-presentation-skills MBB Decks Card
A11 agent-presentation-skills McKinsey PPT Design Card