By weorbitant
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.
Run database migrations on remote environments.
Execute read-only queries against databases.
Deploy a merged change to an environment.
Establish local connections to cluster services like databases, brokers, and APIs.
Move failed messages from DLQs back to their main queue for reprocessing.
Run database migrations on remote environments. Identifies pending migrations, connects to the target database, runs the migration command, and verifies the result.
Execute read-only queries against databases. Connects to the target environment's database, runs SQL queries, and formats results. Use when asked about "query database", "db query", "SQL", "check data", "database lookup", "count records", "find rows".
Deploy a merged change to an environment. Verifies the change is merged, finds the build artifact, confirms with the user, triggers the deployment, and verifies the result.
Establish local connections to cluster services like databases, brokers, and APIs. Use when asked about "port-forward", "connect to database", "local connection", "tunnel", "forward port", "access service locally".
Move failed messages from dead letter queues back to their main queue for reprocessing. Creates a shovel or uses the Management API to move messages. Always recommends triaging first.
No model invocation
Executes directly as bash, bypassing the AI model
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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:
npx claudepluginhub weorbitant/workbench-dev --plugin ops-suiteMarketing 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.
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.
Python-specialized development tools with microservice support, built on superpowers. 32 agents, 18 commands, 21 skills, 1 MCP server.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research