Fotis Koutoulakis
Community@nlightnfotis · Oxford, United Kingdom
Computer Scientist and Mathematician | Distributed Systems, Compilers, Security & Reliability | Software Engineer @GitHub
Agent Skills by Fotis Koutoulakis
Showing 86 vetted skills indexed across 1 GitHub repositories.
NlightNFotisbubble-dynamics
Evaluate technology adoption decisions by assessing hype-cycle positioning and adoption postures.
NlightNFotisproof-tactics
Prove or refute code correctness claims using induction, contradiction, and counterexamples.
NlightNFotisfermi-estimation
Produce order-of-magnitude estimates for system capacity, latency, throughput, storage, cost, and feasibility.
NlightNFotisbayesian-reasoning
Update bug hypothesis beliefs using Bayesian priors, likelihoods, and posteriors.
NlightNFotispharmacological-dosing
Models system parameter changes as dose-response interventions for safer rollout planning.
NlightNFotisconstraint-analysis
Identify the active bottleneck in a flow system using throughput evidence.
NlightNFotispickling-and-preservation
Design preservation plans for software artifacts, data snapshots, and dependencies.
NlightNFotisattention-design-review
Review human-facing system signals to reduce alert fatigue and align interruptions with importance.
NlightNFotiscode-forensics
Reconstruct software incident timelines and causal chains from logs, stack traces, commits, and test results.
NlightNFotisaffordance-review
Evaluate APIs, CLIs, and UIs for mismatches between perceived and actual actions.
NlightNFotistopological-refactoring
Evaluate code changes for behavior preservation during refactoring.
NlightNFotisnetwork-topology-review
Analyze software dependency graphs to identify hubs, bottlenecks, articulation points, cycles, and blast radius.
NlightNFotismental-model-alignment
Identify mismatches between design model, system image, and user model.
NlightNFotiscognitive-load-review
Evaluate code, APIs, documentation, and workflows for excessive working-memory burden.
NlightNFotisfactor-of-safety
Calculate factor of safety between working load and failure capacity for software systems.
NlightNFotisengineering-coaching
Generate evidence-cited engineering coaching reviews from pull requests, code reviews, issues, and commits.
NlightNFotisformal-invariants
Discover formal invariants and convert system assumptions into verifiable logical rules.
NlightNFotisfailure-mode-effects-analysis
Analyze components and workflows by scoring failure modes with FMEA.
NlightNFotisledger-consistency
Audit software state transitions for balancing counterparts and derived view consistency.
NlightNFotiscapital-allocation
Allocate engineering capacity across initiatives using ROI and hurdle rates.
NlightNFotismistake-proofing
Redesign software interfaces and workflows to prevent human and system errors.
NlightNFotiscommunication-pragmatics
Analyze engineering text for pragmatic meaning and implied commitments.
NlightNFotismise-en-place
Stage commands, credentials, observers, and rollback materials before software operations.
NlightNFotisuser-context-fieldwork
Investigate real user workflows, constraints, and workarounds through observation-first fieldwork.