By kjgarza
Skills for rapid prototype development with a standardized Bun monorepo stack (core, types, api, ui, mcp). Encodes team conventions (Biome, bun:test, JSON:API, Actor Pattern, design tokens), deviation protocol, per-package patterns, test scaffolding, and development workflow chaining.
This skill bridges the gap between scaffolding and active development. It should be used when the user says "start development", "begin building", "ready to code", "what's next after scaffolding", "what do I do now", "development checklist", "start coding", "how do I start", "check readiness", "run development checks", or "readiness report". It also applies when the user has just finished scaffolding with init-prototype and wants to begin building features.
This skill generates or scaffolds a Hono API package using @hono/zod-openapi with Zod validation and OpenAPI spec generation. It should be used when the user asks to create an API, add API routes, build endpoints, scaffold a REST API, work on the api package, or mentions Hono, OpenAPI, or API development. It also applies when the user is working inside a packages/api directory or mentions exposing core functionality via HTTP.
This skill generates SST v3 (Ion) infrastructure for deploying a Bun monorepo prototype to AWS. It should be used when the user asks to deploy the prototype, add infrastructure, set up SST, configure AWS deployment, add Lambda functions, set up a production environment, or mentions "sst", "deploy to AWS", "infrastructure", "production deploy", "Lambda", "CloudFront", or "SST v3". It also applies when the user says "make this deployable", "I want to deploy this", or "set up cloud deployment."
This skill generates or scaffolds an MCP (Model Context Protocol) server package using the official @modelcontextprotocol/sdk. It should be used when the user asks to create an MCP server, add MCP tools, expose functionality via MCP, build a Model Context Protocol integration, or work inside a packages/mcp directory. It also applies when the user mentions "MCP", "tool for Claude", "tool for AI", "Claude integration", or wants to make core functionality available to LLM agents.
This skill scaffolds test infrastructure for a prototype monorepo. It should be used when the user asks to "set up tests", "add test infrastructure", "scaffold tests", "generate tests", "write tests", "create test files", "add testing", or after running init-prototype, generate-api, or generate-mcp. It also applies when the user mentions "bun:test", "test setup", "test helpers", "test patterns", or "missing tests".
Executes bash commands
Hook triggers when Bash tool is used
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A collection of useful Claude Code plugins for development workflows, research, and productivity.
Add this marketplace to your Claude Code installation:
/plugin marketplace add kjgarza/marketplace-claude
Or via the CLI:
claude plugin marketplace add kjgarza/marketplace-claude
| Plugin | Category | Description |
|---|---|---|
| kjgarza-base | utilities | Base MCP server configuration with puppeteer, fetch, sequential thinking, and context7 documentation servers |
| scholarly-comms-researcher | documentation | Expert agent for scholarly communication research with Dimensions database integration and academic search capabilities |
| senior-software-developer | development | Expert-level development assistance for architecture, code review, system design, and technical leadership |
| kjgarza-product | productivity | Product management toolkit with document processing, integrations, and research capabilities |
After adding the marketplace, install individual plugins:
/plugin install kjgarza-base@marketplace-claude
/plugin install scholarly-comms-researcher@marketplace-claude
/plugin install senior-software-developer@marketplace-claude
/plugin install kjgarza-product@marketplace-claude
Foundation plugin with MCP server configurations for:
Skills: project-scaffold, skill-creator
Expert agent for academic research and scholarly communication:
Skills: literature-review, scholar-evaluation, scientific-brainstorming, scientific-critical-thinking, scientific-visualization, scientific-writing, scikit-survival
Senior engineering expertise for:
Commands: /architecture-review, /code-review, /system-design, /refactor-strategy, /technical-debt-audit
Skills: chrome-extension-builder, cli-generator, detect-code-smells, mcp-builder, monorepo-generator, security-pattern-check, suggest-performance-fix, vscode-extension-builder
Product management toolkit:
Commands: /create-prd, /create-user-stories, /analyze-intel, /analyze-feature-request, /prioritize-backlog, /plan-usability-test, /facilitate-design-critique, /search-user-research
Agents: product-manager, scholarly-comms-researcher, senior-dev-advisor
MIT License - see LICENSE.md for details.
Kristian Garza (@kjgarza)
npx claudepluginhub kjgarza/marketplace-claude --plugin prototyping-skillsA collection of productivity skills including project scaffolding, image processing with ImageMagick, file organization, and skill creation tooling
Expert agent for scholarly communication research with Dimensions database integration and academic search capabilities
Generate themed weekly digests from Obsidian ReadItLater bookmarks with SQLite state tracking
Opinionated defaults and scaffolding for rapid MVP static websites using Next.js or 11ty monorepo patterns
Product management toolkit with document processing, integrations, and research capabilities
Structured protocols for feature exploration and development workflows
Advanced monorepo development skills for architecture, tooling, and workflow management across multiple packages and projects.
50 specialist skills + 43 slash commands for coding agents — orchestrator, backend, frontend, QA, security, deploy, detective-spec, static-analysis, skill-author, program-router, parallel-dispatcher, blog-publisher, blog-screenshot, canary-deployment, zoom-out, handoff-context, post-deploy-canary-monitor, pattern-conformity, research-prep, context-budget, direct-response-copy, ux-research + spec-driven development, anti-AI writing, memory consolidation, executable YAML pipelines + insights dashboard (v2.18.0, 6 tabs). v2.37.0: absorcao de 7 ebooks Casa do Codigo — skill 50 ux-research (gap real: discovery qualitativo — entrevista, persona baseada em pesquisa, journey map, teste de usabilidade, arquitetura de informacao; antecede PO 01 e UI/UX 02) + 3 policies de XP (pair-programming, continuous-integration, sustainable-pace, ligadas a skill 37) + incrementos cirurgicos: skill 01 ganha Fundamento de Negocio (validacao de hipotese, MVP, monetizacao, AARRR, product-market fit — do Guia da Startup); skill 14 ganha Keyword Research (KEI, intent, cauda longa) + Off-Page/Link Building (do SEO Pratico); skill 07 ganha Infrastructure as Code (provisionamento declarativo, idempotencia, drift — principios do DevOps na pratica traduzidos pra Terraform/Ansible); skill 38 ganha lentes de coesao/acoplamento, seam distribuido (REST/async/RPC, HATEOAS) e camadas (da Introducao a Arquitetura). Livros de Jogos HTML5 Canvas (nicho <2%) descartados por frequencia. v2.36.0: skill 50 direct-response-copy — copy de direct response destilada de 3 ebooks classicos PT-BR: biblioteca de formulas de headline em 20 categorias de gatilho (357 modelos destilados em formulas parametrizadas), 8 gatilhos mentais + storytelling de venda, copy de Instagram (legenda/engajamento). Gate de integridade obrigatorio: sem claim nao-verificavel, sem depoimento fabricado, escassez so real. Complementa a skill 13 (copy de produto): 13 cobre landing/microcopy/brand voice, 50 cobre ads/pagina de vendas/email/social. v2.35.0: auto-skillify (absorcao parcial do activeloopai/hivemind) — hook UserPromptSubmit que a cada N turnos (default 20) injeta checkpoint perguntando se a atividade recente vale virar learned-skill (3 criterios: nao-googleavel, especifico do codebase, custou debugging). Adapta o skillify-via-Haiku do hivemind ao runtime: delega a decisao ao agente da sessao (ja pago) em vez de forkar LLM. Le a contagem do context-turn-counter. O resto do hivemind ja tinhamos: codebase graph=Graphify, semantic search=.index/vault.db, memory compound=memory-curator. v2.34.0: vault de memoria UNIFICADO ao kit — instalar o kit agora CRIA o vault automaticamente (scripts/init-vault.mjs roda no install.sh: cria estrutura logs/architecture/secrets, CLAUDE.md com as regras de escrita, .gitignore protegendo secrets/, git init). Path PORTAVEL via scripts/vault-resolver.mjs: $CLAUDE_MEMORY_VAULT → ~/.claude-memory (novo padrao, vale Windows/Mac/Linux) → D:/claude-memory (legado). Antes o vault era montado a mao e o path hardcoded; agora kit+memoria sao uma coisa so. Idempotente (nao sobrescreve vault existente). v2.33.0: absorcao obsidian-second-brain (memoria AI-first) — policy memory-write-rules.md aplica anti-fabricacao ao VAULT (false-absence: busque exaustivamente antes de afirmar que nao existe nota/decisao — o failure mode mais comum; no-fabrication: TBD para desconhecido; recency markers '(as of YYYY-MM, fonte)' em claims externos; niveis de confianca) + convencao 'For future Claude' (preambulo de 2-3 linhas que o futuro-Claude le em 10s pra decidir relevancia, no skill 31 session-summary) + comando /reconcile-memory (detecta contradicoes no vault — decisoes revertidas/superadas nunca atualizadas — e resolve: mais novo+autoritativo vence com secao ## History, ambiguo vira flag, evolucao marca superseded). v2.32.0: pre-build-gate (UserPromptSubmit hook) leva o 'pare e decida antes de codar' de cada disciplina (que o /auto tem nas fases) para o MODO PASSIVO — detecta intencao de criacao no prompt e injeta o checklist da disciplina certa: acceptance-criteria (defina done antes de implementar), api-contract (formato de erro + status codes antes da 1a rota), schema-integrity (constraints/FK/indices antes do 1o INSERT), ui-design (ancora estetica antes de estilizar), deploy-readiness (healthcheck/env/graceful-shutdown). 4 novas rules path-scoped por disciplina (rules/backend/, rules/database/, rules/frontend/, rules/common/acceptance-criteria.md). v2.31.0: design-aware /auto — fase UI-DESIGN como gate (PLAN→[UI-DESIGN]→BUILD) que invoca skill 02-ui-ux-design e bloqueia build de arquivo visual ate a ancora estetica estar escolhida; rules/frontend/ui-design.md (path-scoped em .css/.tsx/public) proibe o default generico (#4f46e5 indigo + system-ui), forca escolher 1 ancora; coverage config virou gate HARD no /auto; scope inference (app→fullstack) movido pra rules/common para o modo passivo herdar. Validado por bench A/B real (bench/ab/, 3 rounds) que expos UI generica nos 3 bracos. v2.29.0: claim-verifier (PostToolUse — detecta afirmacoes sem evidencia: 'email enviado', 'deploy OK', 'teste passou'; passa livre se ha exit code 0/HTTP 200/query result) + context-turn-counter (UserPromptSubmit — compact a cada 25 turnos, handoff inteligente a cada 50 usando vault de memoria). v2.28.0: /spec-kit (SDD pipeline unificado specify→plan→tasks→implement + Adversarial Verifier inline), /insights (recomendacoes baseadas em telemetria dos hooks), /swarm com Phase 3 Adversarial Verify (Implementor vs Verifier com goals opostos, spec atualizada em real-time). v2.27.0: investigate-first guard (hook PreToolUse que impede a IA de perguntar o auto-descobrivel — gh user, branch, package manager, porta, versao de runtime — manda investigar primeiro) + policy investigate-first. v2.26.0: silent-failure-hunter (16o subagent, review-only: caca catch{} vazio, swallowed errors, fallbacks perigosos, stack traces perdidos, rollback faltando) + skill 49 context-budget (audita peso de contexto carregado por componente) + /context-budget. v2.25.0: rules system path-scoped (`.claude/rules/` com `paths:` glob, inspirado no ECC), bug-fix da allowlist de subagents, 5 skills stub reescritos com profundidade. v2.24.0: curador AUTONOMO de memoria (inspirado no Hermes Agent) — roda async no SessionStart, faz decay/archive/dedup em JS puro sem gastar LLM e delega so a parte semantica ao agente presente. v2.23.0: absorcao addozhang (skill 48 research-prep, Spring Boot playbook, mem9 patterns). v2.22.0: memory curator nudge. v2.21.0: context-cost guards. v2.20.0: skill 47 pattern-conformity. 16 dispatchable subagents.
Reusable skills for SDLC planning, software delivery, development workflows, research, data work, and office productivity.
Give soul to your workflow. 58 AI-powered skills across 17 roles — PM, Dev, Backend, Frontend, QA, UX, Data, Detect, WordPress, Release, Security, DevOps, and Core. Spec-to-ship pipeline: scaffold, implement, test, secure, deploy. Features two-phase workflow with human approval, quality-reviewer agent, token optimization, and continuous improvement via LEARN.md system.
Boris Cherny 팁 + 논문 기반 최적화 올인원 Claude Code 플러그인. 32개 스킬, 10개 에이전트, Hooks 보장 시스템.