By weorbitant
AI-powered roadmap refinement: analyze tickets, review sprints, extract user stories, search documentation, analyze designs, create ADRs, and communicate with your team. Supports Jira, Linear, GitHub Issues, Figma, Confluence, Notion, Miro, Slack, and more via adapters.
Create, update, or compact Architecture Decision Records.
Understand an entity, its fields, relationships, and data flows.
Extract data fields, UI states, actions, and flows from a design.
Search documentation about a concept across platforms.
Evaluate whether a technical approach is feasible against the current codebase.
Use when creating, updating, or compacting Architecture Decision Records. Use when user says 'adr', 'create ADR', 'record decision', 'registrar decisión', 'decision record', or needs to document a technical decision.
Use when interrogating the codebase to understand an entity, its fields, relationships, and data flows. Use when user says 'analyze data model', 'analizar modelo', 'understand entity', 'check schema', or asks about a specific entity or database field.
Use when extracting data fields, UI states, actions, and flows from a design. Use when user says 'analyze design', 'analizar diseño', 'review design', 'extract from figma', or shares a design URL.
Use when searching documentation about a concept across platforms. Use when user says 'search docs', 'buscar documentación', 'analyze docs', 'find documentation', or needs to understand existing documentation about a topic.
Use when evaluating whether a technical approach is feasible against the current codebase. Use when user says 'analyze feasibility', 'is this feasible', 'evaluar factibilidad', 'technical analysis', or asks whether an approach will work.
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A developer toolkit for Claude Code that eliminates context switching in two areas where it hurts most: infrastructure operations and roadmap refinement.
You get an alert. You open a terminal for kubectl get pods, another for kubectl logs, another for the RabbitMQ dashboard, another for psql... Five terminals, fifteen minutes, and you still don't know what's wrong.
A ticket lands in sprint. You open Jira, then Figma, then Confluence, then the codebase... Four tools, twenty minutes, and you still can't tell if it's ready to implement.
Define your stack once. Talk to Claude. Get answers.
You: "check if my-api is running in dev"
Claude: 2/2 pods healthy, 0 restarts, 3m CPU, 86Mi memory
You: "any errors in the logs?"
Claude: 12 occurrences of "column updated_at does not exist"
You: "run migrations"
Claude: 4 pending migrations. Apply them? [confirm] → Done. 0 errors.
You: "is PROJ-123 ready to implement?"
Claude: 3 blockers found — missing acceptance criteria, design doesn't match
data model, no error states defined in Figma
Manage services, logs, databases, queues, and deployments without leaving your terminal.
| Skill | What it does | Auto-invocable? |
|---|---|---|
service-status | Pod/container health, restarts, CPU, memory | Yes |
service-logs | Error search, classification, pattern detection | Yes |
port-forward | Local tunnels to cluster services | Yes |
db-query | Natural language → SQL, read-only by default | Yes |
queue-status | Queue listing, DLQ counts, consumer health | Yes |
queue-triage | DLQ failure diagnosis, root cause analysis | Yes |
deploy | Deploy merged PRs, verify health post-deploy | No — destructive |
db-migrate | Run pending migrations with confirmation | No — destructive |
queue-reprocess | Move DLQ messages back after fix | No — destructive |
Supported stacks: Kubernetes, Docker Compose, ECS · RabbitMQ, Azure Service Bus, SQS, Kafka · PostgreSQL, MySQL · GitHub Actions, GitLab CI · MikroORM, TypeORM
Analyze tickets, designs, documentation, and code to answer: "Is this ready to implement?"
| Skill | What it does |
|---|---|
clarify-ticket | Find ambiguities and missing info in tickets |
ticket-analysis | Comprehensive cross-source analysis (ticket + design + docs + code) |
sprint-review | Sprint readiness evaluation with 8 automated checks |
analyze-design | Extract data fields, UI states, and actions from designs |
analyze-docs | Search documentation across Confluence/Notion |
analyze-data-model | Trace entity fields through the codebase |
analyze-feasibility | Evaluate technical approaches against the codebase |
create-bug | Structured bug reports with root cause analysis |
adr | Architecture Decision Records |
board-to-stories | Extract user stories from Miro/Excalidraw boards |
notify-team | Draft and send team messages via Slack/Teams |
Supported tools: Jira, Linear, GitHub Issues · Figma, Penpot · Confluence, Notion · Miro, Excalidraw · Slack, Teams, Discord
Meta-skill that teaches you how to create your own Claude Code skills following Anthropic best practices. Progressive disclosure, proper triggering, adapter patterns — all covered.
/creating-skills:creating-skills
All plugins share one design principle: config + adapters.
┌─────────────┐ ┌──────────────┐ ┌────────────────────┐
│ config.yaml │────▶│ SKILL.md │────▶│ adapters/<tech>.md │
│ │ │ │ │ │
│ orchestrator│ │ reads config │ │ kubernetes.md │
│ = kubernetes│ │ loads right │ │ docker-compose.md │
│ │ │ adapter │ │ ecs.md │
└─────────────┘ └──────────────┘ └────────────────────┘
config.yaml (Kubernetes? RabbitMQ? PostgreSQL?)kubectl, rabbitmqctl, psql) with {config.X.Y} placeholdersTo add support for a new technology, create a markdown file. No code changes needed.
# From the Claude Code marketplace
/plugin marketplace add github:weorbitant/workbench-dev
# Install what you need
/plugin install ops-suite
/plugin install refinery
/plugin install creating-skills
Each plugin has a config.example.yaml. Copy and fill in your values:
Marketing team skills for content creation and review
Guide for authoring Claude Code skills following Anthropic best practices. Covers skill structure, SKILL.md templates, testing, and distribution.
Technology-agnostic infrastructure operations: service status, logs, deployments, database queries, and message queue management. Supports Kubernetes, Docker Compose, ECS, RabbitMQ, Azure Service Bus, PostgreSQL, MySQL, and more via adapters.
Python-specialized development tools with microservice support, built on superpowers. 32 agents, 18 commands, 21 skills, 1 MCP server.
npx claudepluginhub weorbitant/workbench-dev --plugin refineryStreamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
Atlassian Jira and Confluence integration via Remote MCP Server for issue tracking, documentation, and project management
Engineering & tech skills: Code Review Checklist, Incident Postmortem, API Docs Writer, Architecture Decision Record, Debugging Log Analyser, PR Description Writer, System Design Interview, Changelog Generator, Test Strategy Doc, Runbook Writer, CI/CD Playbook, SLO & Error Budget, Developer Onboarding Doc, On-Call Runbook, Security Threat Model, Performance Budget, Database Schema Design, Database Migration Plan, Technical Debt Register, RFC Writer, Capacity Planning, Load Testing Plan, Disaster Recovery Plan, Feature Flag Guide, Dependency Audit, Service Catalog Entry, Monitoring Setup Guide, Local Dev Setup, API Versioning Strategy, Infra-as-Code Review, Engineering Weekly Report, Tech Radar, Sprint Velocity Analysis, Microservices Decomposition, Engineering Hiring Rubric. 35 structured skills for engineering teams, SREs, and technical PMs.
Smart task routing: classifies specs and routes to feature-dev or subagent-driven-dev
Virtual development team: TDD, debugging, code review, backlog management, and proven workflow patterns
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 "Compound Vault" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment with kepano/obsidian-skills, default Obsidian CLI transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking for multi-writer safety, pre-commit verifier agent, AND methodology modes (LYT / PARA / Zettelkasten / Generic) for first-class organizational support no other Claude+Obsidian competitor offers. v1.7.x audit closure: every BLOCKER + HIGH + MEDIUM + LOW finding from the v1.7.0 audit is CLOSED or DEFERRED-with-rationale. Optional DragonScale Memory extension (log folds, deterministic addresses, semantic tiling lint, boundary-first autoresearch).