Alexey Lukin
Community@Alexey-Lukin · Ukraine, Cherkassy
Lead Senior Full Stack Ruby on Rails engineer, Hotwire, React, NestJS, Angular, Ionic. My favorite IDE is neovide.
Agent Skills by Alexey Lukin
Showing 14 vetted skills indexed across 1 GitHub repositories.
factory-flashing
Provisions per-device cryptographic keys into STM32 devices during factory manufacture.
firmware
Guides STM32 Soldier and Queen firmware changes with documented gotchas and canonical references.
telemetry-pipeline
Guides work on the silken_net telemetry uplink-to-minting pipeline with documented gotchas.
frontend
Guides Phlex component, Tailwind v4 token, Turbo, and Stimulus work in the silken_net Rails frontend.
deploy
Routes Kamal, Terraform, and Grafana Cloud infrastructure operations to canonical docs and verified invariants.
ml-engineering
Maintains TinyML acoustic model training, log-mel DSP parity, and INT8 export for firmware.
picogk
Generates and verifies PicoGK voxel CAD geometry from CEM manifests for titanium forest-sensor parts.
legal-business
Routes legal, business, and academic-partner questions to canonical docs while enforcing honesty boundaries.
backend
Guides Rails backend work on models, REST API v1 controllers, auth, and services.
in-silico
Operates the EBFC Gen 2.0 DFT and MD computational pipeline with cache-discipline rules.
web3-pipeline
Guides development of an 11-chain Proof-of-Growth Web3 pipeline with Solidity contracts and Rails services.
ssot-maintenance
Detect and prevent documentation drift across a single-source-of-truth canon using CI lint gates.
dependency-update
Researches, classifies, and validates dependency updates across every manifest in a polyglot repository.
memory-maintenance
Curates persistent file-based memory by deduplicating, structuring, and routing facts without data loss.
Frequently Asked Questions About Alexey Lukin
FAQPage SchemaWhat tasks can I accomplish with Alexey Lukin's skill registry?▼
The 14 skills cover the silken_net platform end-to-end: STM32 Soldier/Queen firmware with TinyML and LoRa, Rails backend with RBAC and Pundit, Phlex/Tailwind frontend, 11-chain Solidity minting pipelines, PicoGK Code-as-CAD, DFT/MD in-silico chemistry, Kamal/Terraform GCP deploys, dependency updates, and SSOT documentation governance.
Who is the target audience for these skills?▼
Senior full-stack and embedded engineers working on the silken_net IoT-blockchain monorepo. The registry assumes familiarity with Ruby on Rails, C firmware, Solidity, Terraform, and scientific Python environments, matching the author's profile as a lead senior full-stack Rails engineer with Hotwire, React, NestJS, and Angular experience.
How do the skills handle safety-critical operations like factory flashing?▼
The factory-flashing skill encodes hard guards: a wrong-board check, UID collision quarantine, six Flash key blocks with magics, a two-person supervisor rule, and an explicit EMIT-ONLY block on SE05x provisioning, which would brick units by writing no real Flash KEYL. Gotchas are indexed per skill with full mechanisms in companion files.
What prerequisites and environments do these skills require?▼
Prerequisites vary by domain: Ruby/bundler for Rails, conda environments (silken_ml, silken_md) for ML and in-silico work, .NET with PicoGK NuGet pins for CAD, Foundry/OpenZeppelin for contracts, firmware C submodules, and Terraform providers. The dependency-update skill defines per-domain validation recipes and release-age quarantine rules.
Are these skills open source and what do they cost?▼
The manifest specifies no license or pricing; the skills are documentation-style operational playbooks routing to internal canon docs (00_xx–06_xx) rather than standalone distributable packages. They load gotcha and invariant files on demand and restate nothing, so usage is tied to access to the private silken_net repository.