Technical guides, research notes, and operator dispatches on AI agents, model infrastructure, and secure deployment.
Most RAG implementations are just embeddings shoved into a vector DB and called a day. Chunk strategy is arbitrary, retrieval is unfiltered, and the LLM gets garbage in and produces confident nonsense out. RAG-Architect brings structured retrieval design — chunking taxonomy, reranking pipelines, hybrid search, and freshness scoring — to your Claude-Code workflow.
Data migrations fail in ways that look minor until they're catastrophic: encoding inconsistencies corrupt names, null-handling mismatches silently drop records, schema drift makes the target system behave differently from the source. Migration-Architect brings structured migration design — data profiling, transformation lineage, rollback planning, and validation scaffolding — to every Claude-Code migration workflow.
Agent workflows are where AI projects go to die of complexity. Sequential chains break on exceptions. Parallel branches create race conditions. Loops never terminate. Agent-Workflow-Designer brings formal workflow design — state machines, DAG validation, timeout governance, and human approval gates — to Claude-Code agent orchestration.
API design flaws are the gift that keeps on giving — they cost nothing to introduce and millions to fix after clients have built on them. API-Design-Reviewer brings structural API review to your Claude-Code workflow: REST/OpenAPI correctness, GraphQL schema design, backward compatibility analysis, and error contract hygiene — before the API meets the outside world.
Git worktrees are one of Git's most underrated features and most underused. They let you check out multiple branches simultaneously in the same repo — no stash, no switch, no 'I was in the middle of something.' Git-Worktree-Manager brings structured worktree lifecycle management — automated branch-to-worktree mapping, cleanup governance, and conflict detection — to Claude-Code workflows.
Most technical interview processes are broken by design — they select for performance under artificial pressure, not ability to ship real software. Interview-System-Designer brings structured hiring system design — work sample validation, scoring rubrics, bias mitigation, and pipeline analytics — to help your team build a process that actually predicts on-the-job performance.
Most product managers are documenters or project managers in disguise — they manage backlogs, write specs, and run standups. The real skill is knowing which problems are worth solving, which metrics to move, and how to align engineering investment with business outcomes. Product-Manager brings structured product discovery, prioritization, and outcome measurement to your Claude-Code workflow.
A deep-dive into the skill-security-auditor Claude Code blueprint — an automated security review workflow that integrates directly into your development pipeline and catches supply-chain attacks before they ship.
Meet agile-po — an ARCHITECT-tier Claude Code blueprint that acts as your AI Product Owner. It writes user stories, prioritizes backlogs with WSJF scoring, runs sprint planning, and generates burndown charts from Git commit data.
revenue-ops-coach is an ARCHITECT-tier AI blueprint that connects to your CRM, analyzes pipeline health, scores deals with AI precision, forecasts revenue, and identifies coaching opportunities for your sales team — all from a terminal prompt.
content-creator is an ARCHITECT-tier AI content pipeline that researches topics, generates SEO-optimized articles, generates配套 featured images, and publishes to multiple CMS platforms — fully autonomous from keyword to published post.
Sales Engineer is the ARCHITECT and Claude-Code skill that turns technical depth into revenue — generating prospect-specific demos, competitive battlecards, and technical proposal content at the speed your pipeline demands.
Customer Success Manager is the ARCHITECT and Claude-Code skill that turns post-sale chaos into structured health scores, renewal playbooks, and early-warning churn signals — so you're not getting surprised at quarter-end.
Contract Proposal Gen is the ARCHITECT and Claude-Code skill that automates SOW generation, MSA reviews, and pricing attachments — producing lawyer-ready contract draft content that compresses your deal cycle without the back-and-forth.
Financial Analyst is the ARCHITECT and Claude-Code skill that transforms messy financial data — P&L statements, cap tables, SaaS metrics — into structured analysis, scenario modeling, and narrative-ready insights for investor and board audiences.
Structured web search built on Google's protocol buffers. High-throughput, schema-validated search results piped directl...
Auth-Signing-Audit.Composio — Composio skill from Mr. Technology. TIER 2 tier, audited and verified....
PR-Reviewer.LangChain is a TIER 4 automated code review tool purpose-built for LangChain projects. It catches Chain-of-Thought bugs, RAG retrieval failures, prompt injection vectors, and vector store misconfigurations before they reach production.
Arxiv-Collector.AutoGen automates arXiv paper discovery, PDF download, summarization, and citation graph building — turns hours of manual research into a structured knowledge base fed directly into your AI agents.
C-Suite Advisor feeds Claude Code a persistent layer of company strategy, OKRs, and competitive intelligence — so code decisions are made with business context, not just technical fitness.
Obscura is a zero-knowledge secret manager written in Rust, designed for high-assurance agent environments where credential leakage isn't a risk you're willing to take.
n8n's latest guide recommends its platform as the 'orchestration layer' for MCP servers. But the entire premise is backwards. Here's the architecture that makes n8n redundant for agentic workflows — and what to use instead.
C++ IntelliSense used to mean waiting two minutes for your IDE to index your codebase, then watching it eat 4GB of RAM. clangd changes the math — real-time diagnostics, accurate goto-definition, and compile-speed feedback without the bloat.
Most sentiment analysis treats emotions like a binary toggle — positive or negative. EngineMind's Emotional Framework Translator maps text to Plutchik's eight primary emotion vectors, giving you nuance that scalar sentiment scores miss entirely.