The library

3d-interaction-design · When designing immersive/VR interfaces where 2D principles fail.

datenexport-portabilitaet · When implementing data portability rights (GDPR Art. 20) or migration tooling.

augmented-reality-tracking · Diagnosing why virtual AR content does not register with physical world; guides technique selection.

workflow-feature-development · Starting a new feature from scratch; ensures design, planning, review, test, perf, docs all happen.

embodied-computing-and-constructionism · Teaching abstract spatial concepts (geometry, recursion) by having learners build concrete artifacts in immersive spaces.

code-review · Post-implementation review to catch security issues, bugs, and code quality gaps before merge.

immersive-environment-design · Authoring VR/AR experiences where presence and legibility matter; ensures physical body comfort and sight-line guidance.

pytorch-lightning · Scaling training from laptop to multi-node/multi-GPU without rewriting boilerplate; automatic DDP/FSDP/DeepSpeed support.

generate-report · Creating permanent records of investigation findings with standardized naming and timestamps.

spatial-reasoning-fundamentals · Grounding 3D spatial thinking in platforms like Minecraft, VR, CAD; makes blueprint→world translation transferable.

world-building-block-paradigms · Designing scalable voxel worlds where modular, repeated block structures reduce manual effort.

lambda-labs-gpu-cloud · Quick provisioning of single or batch GPU instances without long-term commitment; lower cost than AWS on-demand.

rust-build · Building production Rust binaries with optimizations (LTO, codegen-units) for deployment.

modal-serverless-gpu · Deploying inference-only ML models without managing containers or servers; pay-per-invocation.

done-retirement · Ensuring a clean exit where knowledge is preserved, successor is prepared, and systems are documented.

hook-persistence · Maintaining context across multiple hook invocations in long-running workflows without re-querying.

awq-quantization · Compressing large LLMs for edge deployment while maintaining near-FP16 accuracy.

mail-async · Multi-agent orchestration where messages must survive crashes and maintain order by timestamp

quantizing-models-bitsandbytes · Fitting 7B+ models on consumer GPUs (8-16GB VRAM) when accuracy tolerance permits <1% degradation

CA Lobby Completion Report · CA Lobby projects requiring standardized completion documentation with automated master plan progression

nudge-sync · Gastown health checks and stall detection where only the latest signal matters and fast overwrite is critical

optimizing-attention-flash · Long-context LLM inference and training where attention is the bottleneck and 2-4x speedup with 10-20x memory savings is critical

migrate-to-shoehorn · Test suites with large mock objects where only a few properties matter and traditional `as` is heavy-handed

token-budget · Multi-agent Gastown convoys needing hard token gates to prevent runaway spend and cascade failures

gguf-quantization · Deploying LLMs on consumer hardware (MacBook M1+) or servers without NVIDIA GPU when universal hardware support is required

bayesian-methods · Incorporating prior domain knowledge into inference and updating beliefs with small sample sizes where frequentist confidence intervals fail

gptq · Deploying 70B+ models on A100/H100 when 4× compression and <2% accuracy loss is acceptable

k-fencore · WoW addon authors building complex addon logic without reimplementing common utilities

descriptive-statistics · Data exploration when hypothesis testing is premature and you need to understand raw data distribution first

hqq-quantization · Fast model quantization when calibration data unavailable and extreme compression (2-bit) is acceptable

webapp-testing · End-to-end regression testing when unit tests miss user-facing behavior

inferential-statistics · Determining whether a sample observation generalizes to the population when descriptive stats alone insufficient

ml-training-recipes · Starting model training quickly with expert-vetted defaults instead of tuning from scratch

commands-gizix-cc-projects · Extending Claude Code project templates with custom agent behaviors

probability-theory · Building rigorous statistical reasoning from first principles when intuitive probability reasoning fails

init-pablolion-bmad-plugin · Starting a new project using BMAD methodology with pre-built scaffolding

regression-modeling · Quantifying how variables influence outcomes when you need interpretable coefficients rather than pure prediction.

api-design · Creating APIs that agents and humans consume reliably when predictability beats cleverness.

statistical-computing · Deriving confidence intervals and p-values when analytical formulas are unavailable or standard assumptions violated.

cybersecurity-basics · Teaching security fundamentals when professional penetration testing is not yet required.

detecting-command-injection · Finding command injection during code review when automated scanners miss indirect and complex paths.

design-thinking · Designing solutions that solve real problems for real people, not just technically elegant systems.

digital-systems · Building systems where correctness cannot be patched after deployment (aerospace, medical, critical infrastructure).

code-health-check · Regular codebase audits to catch health degradation before it blocks features.

emerging-tech · Evaluating novel tech claims when you want to separate signal from hype and zeitgeist.

human-computer-interaction · Creating interfaces where users don't get stuck because system behavior matches their expectations.

mlflow · Managing dozens of experiments with repeatable comparison and governance when you need audit trails.

idiomatic-rust · Systems code where memory safety must hold at compile-time without runtime GC overhead.

experiment-tracking-swanlab · Real-time experiment monitoring during training when live curves beat post-hoc analysis.

forderungen-interessen-matrix · Navigating multi-stakeholder projects when you need to identify whose buy-in actually matters.