Adrian Martin
Community@adriancodes
Adrian Martin maintains a 98-skill ECC-adapted registry covering code review, database patterns, homelab networking, frontend engineering, and marketing operations.
Agent Skills by Adrian Martin
Showing 98 vetted skills indexed across 1 GitHub repositories.
adriancodesecc-type-design-analyzer
Review type designs for encapsulation, invariant expression, usefulness, and enforcement.
adriancodesecc-regex-vs-llm-structured-text
Parse structured text with deterministic regex and route unresolved records to authorized validators.
adriancodesecc-marketing-campaign
Plans multi-channel marketing campaigns and produces landing page, email, social, and ad copy.
adriancodesecc-prisma-patterns
Guides Prisma schema design, queries, transactions, migrations, and serverless connection pooling in TypeScript backends.
adriancodesecc-homelab-architect
Plans staged homelab network topologies covering VLANs, DNS, DHCP, firewall rules, and rollback safety.
adriancodesecc-docker-patterns
Reviews and guides Dockerfile and Compose configurations for containerized development workflows.
adriancodesecc-homelab-network-setup
Plan home and homelab networks covering gateways, switches, IP ranges, DHCP, DNS, and cabling.
adriancodesecc-homelab-network-readiness
Plans and reviews homelab VLAN, DNS filtering, and VPN changes with staged validation and rollback.
adriancodesecc-netmiko-ssh-automation
Automates SSH-based network device access with Python Netmiko for read-only collection and guarded config changes.
adriancodesecc-brand-discovery
Conducts structured multi-session brand identity interviews producing a master brandbook document.
adriancodesecc-golang-patterns
Provides idiomatic Go patterns for errors, interfaces, concurrency, and package structure.
adriancodesecc-ai-regression-testing
Write regression tests for bugs found in AI-generated API and frontend code.
adriancodesecc-homelab-vlan-segmentation
Plans and configures home network VLAN segmentation on UniFi, pfSense/OPNsense, and MikroTik.
adriancodesecc-network-config-reviewer
Reviews router and switch configurations for security risks with severity-ranked findings.
adriancodesecc-network-architect
Reviews network topology, routing, and segmentation plans and produces phased architecture designs.
adriancodesecc-brand-voice
Builds a reusable voice profile from real writing samples for consistent content across channels.
adriancodesecc-pytorch-build-resolver
Diagnose and fix local PyTorch tensor shape, device, autograd, and CUDA errors.
adriancodesecc-mysql-patterns
Reviews MySQL and MariaDB schemas, indexes, queries, transactions, and configuration from supplied evidence.
adriancodesecc-pr-test-analyzer
Review pull request test coverage for behavioral gaps and missing edge cases.
adriancodesecc-postgres-patterns
Reviews PostgreSQL schemas, indexes, queries, and RLS policies against established patterns.
adriancodesecc-golang-testing
Write Go table-driven tests, benchmarks, fuzz targets, and HTTP handler tests following TDD patterns.
adriancodesecc-lead-intelligence
Scores and ranks leads, maps warm introduction paths, and drafts channel-specific outreach messages.
adriancodesecc-mle-workflow
Reviews and plans production ML systems with data contracts, promotion gates, and monitoring.
adriancodesecc-bun-runtime
Guides adoption, debugging, and migration of Bun runtime scripts, tests, and package management.
Frequently Asked Questions About Adrian Martin
FAQPage SchemaWhat tasks can I accomplish with adriancodes' skill registry?▼
The registry covers static code review across Go, Rust, Python, TypeScript, React, Vue, and FastAPI; database design for PostgreSQL, MySQL, Prisma, Redis, and ClickHouse; homelab networking including VLANs, Pi-hole DNS, WireGuard, and BGP diagnostics; plus marketing campaigns, SEO audits, investor outreach, and billing operations.
Who is the target audience for these skills?▼
Software engineers reviewing patches and writing tests, ML engineers hardening PyTorch training loops and RAG pipelines, network administrators validating router and switch configurations, frontend developers fixing React performance and accessibility issues, and founders producing fundraising and go-to-market materials.
How are the skills installed and run?▼
Each skill ships as a folder with a SKILL.md frontmatter file adapted from the upstream ECC repository at a pinned revision. They are placed into a compatible skill discovery root and invoked by trigger phrases matching their description, operating with explicit local scope and evidence-backed review constraints.
Are these skills open source and what do they cost?▼
Most skills carry an MIT license as declared in their frontmatter, making them free to use and modify. They are adapted from the public affaan-m/ECC GitHub repository at revision e04ea0b, with no licensing fees; any runtime cost depends on the host environment executing them.
What prerequisites or dependencies do the skills require?▼
Prerequisites vary by skill: database skills assume access to PostgreSQL, MySQL, Redis, or ClickHouse instances; network skills expect device output from Cisco IOS, UniFi, or MikroTik gear; deep-research uses configured Firecrawl and Exa MCPs; social publishing requires an existing SocialClaw workspace.