By aayushostwal
Supercharge Claude Code with a plugin ecosystem: diagnose CI/CD failures, investigate incidents, review code and architecture, design cloud infrastructure, optimize costs, and automate TODO workflows—all through reusable agents and skills.
Add a global Nexus TODO with automatic classification.
Build a daily brief from TODOs, Slack, Outlook, and Jira where configured.
Review the current git branch for bugs, regressions, and missing tests.
Show token usage and estimated cost stats for Claude and Codex sessions.
Use this agent to design, build, or review LLM-powered features and products end-to-end: model selection, RAG architecture, agent design, eval pipelines, token economics, and LLM observability. Trigger on "design this LLM feature", "review my RAG pipeline", "which model should I use for X", "why is my agent failing", "estimate token costs", or eval-strategy questions. Returns designs with cost projections, eval plans, and failure-mode tables; or reviews with severity-ranked findings tied to specific production scenarios.
Use this agent for cloud cost audits, bill-spike investigations, cost monitoring setup, and "find me a cheaper alternative" requests. AWS primary; GCP/Azure aware. Trigger on "why is my AWS bill high", "audit our cloud spend", "set up cost alerts", "cheaper alternative to X", or monthly-cost reviews. Returns a current-spend table from real billing data, a prioritized findings table with savings estimates, copy-paste quick wins, and structural changes by quarter.
Use this agent for senior-level review of a PR, branch, or diff. It inspects changes for correctness bugs, regressions, security issues, migration risk, and deploy safety, then returns a verdict with file:line findings. Trigger on "review this PR", "review my branch", "is this safe to merge", pasted diffs, or pre-merge risk checks. Read-only — it never edits code.
Use this agent for token-efficient codebase exploration: mapping repo structure, finding where a feature lives, locating entry points and config files, or answering "where is the code for X". Trigger on "explore this repo", "where is X implemented", "what's the entry point", "find the config for Y", "map the structure". Read-only. Returns a concise three-column table (Title | File path | Description) consumable by humans and downstream agents.
Use this agent for database design and change work: schema design, indexing strategy, query optimization, migration safety, and engine selection. Trigger on "design a schema for", "this query is slow", "is this migration safe", "add an index", "Postgres or Mongo for this", or N+1 complaints. Returns schema/DDL with per-decision rationale, or a numbered migration plan where every step has a verify command and a rollback command.
Use for flaky or nondeterministic tests, especially local-vs-CI inconsistencies. Trigger on intermittent failures, race/timing symptoms, retry-only greens, or unexplained skip/xfail markers. Output should isolate reproducible cause, narrowest durable fix, and prevention guidance. When in doubt, use this skill.
Use when something is failing, regressing, or behaving unexpectedly and the goal is root-cause analysis, narrowest fix, and verification. Covers CI/CD, tests, runtime, deployment, and tooling failures. Output should be RCA + fix + prevention, not design options. When in doubt, use this skill.
Use for persistent TODO capture, daily brief retrieval, and shared Codex/Claude operating rules. Trigger on remember/track/follow-up requests, "nexus add/show/brief", or policy/workflow questions across Slack, Outlook, and Jira contexts. When in doubt, use this skill.
Use for correlated API failures, cascading errors, and distributed-system incident tracing. Trigger on multi-service error spikes, dependency-chain analysis, circuit-breaker events, or requests to identify origin service and blast radius from logs/metrics across components. When in doubt, use this skill.
Use for memory, CPU, latency, and query-performance investigations, plus dependency-upgrade blast-radius analysis. Trigger on leak/OOM/profiling/regression reports or "what breaks if I upgrade X." Route to memory-leak or dependency-blast-radius workflow based on intent. When in doubt, use this skill.
Uses power tools
Uses Bash, Write, or Edit tools
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Nexus Agent Kit is a plugin-first AI terminal workspace for Codex and Claude Code. It packages specialized subagents, reusable skills, and terminal commands — plus MCP safety conventions — so your AI sessions behave consistently across product specs, architecture reviews, database migrations, cloud cost audits, CI/CD debugging, code review, TODO tracking, and tool-connected work.
Instead of re-explaining how you want the assistant to operate in every new repo or terminal, you install Nexus once and get a shared operating model for engineering work.
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If this project is useful and you want to support more open-source AI engineering work, you can sponsor it on GitHub.
Nexus is distributed as a git-based plugin marketplace. There is no npm package: the bundled Node scripts are dependency-free and run with plain node (Node 18 or newer), so no npm install is ever needed.
Install directly from this GitHub repo using the third-party codex-marketplace tool:
npx codex-marketplace add aayushostwal/nexus --plugin --global
Project-scoped install:
npx codex-marketplace add aayushostwal/nexus --plugin --project
This is a direct repo install. Users need the repo slug aayushostwal/nexus; pushing this repo does not by itself make the plugin searchable in a central Codex marketplace index.
After install, Nexus automatically bootstraps global instruction files on first active plugin run:
~/.claude/CLAUDE.md~/.codex/AGENT.mdIf these files already exist, Nexus appends/updates only its managed block and preserves your existing content.
/plugin marketplace add aayushostwal/nexus
/plugin install nexus@nexus-marketplace
/reload-plugins
After plugin enablement, run node scripts/bootstrap-agent-docs.js once from the cloned or installed plugin directory (plain node, no dependencies to install) to create or refresh the managed skills-first instruction block in your runtime instruction files.
npx claudepluginhub aayushostwal/nexus --plugin nexusUse this agent when setting up CI/CD pipelines, configuring cloud infrastructure, implementing monitoring systems, or automating deployment processes. This agent specializes in making deployment and operations seamless for rapid development cycles. Examples:\n\n<example>\nContext: Setting up automated deployments\nuser: "We need automatic deployments when we push to main"\nassistant: "I'll set up a complete CI/CD pipeline. Let me use the devops-automator agent to configure automated testing, building, and deployment."\n<commentary>\nAutomated deployments require careful pipeline configuration and proper testing stages.\n</commentary>\n</example>\n\n<example>\nContext: Infrastructure scaling issues\nuser: "Our app crashes when we get traffic spikes"\nassistant: "I'll implement auto-scaling and load balancing. Let me use the devops-automator agent to ensure your infrastructure handles traffic gracefully."\n<commentary>\nScaling requires proper infrastructure setup with monitoring and automatic responses.\n</commentary>\n</example>\n\n<example>\nContext: Monitoring and alerting setup\nuser: "We have no idea when things break in production"\nassistant: "Observability is crucial for rapid iteration. I'll use the devops-automator agent to set up comprehensive monitoring and alerting."\n<commentary>\nProper monitoring enables fast issue detection and resolution in production.\n</commentary>\n</example>
Claude Code skill pack for CodeRabbit (24 skills)
DevOps patterns: CI debugging, tech debt detection, own all failures
High-intelligence Claude Code copilot with deep code reasoning, evidence-driven planning, orchestration-first execution, model routing, context budgeting, CI/CD integration, enterprise security, plugin development, prompt engineering, performance profiling, agent teams, channels (event-driven autonomy with CI webhook, mobile approval relay, Discord bridge, and fakechat dev profile), interactive tutorials, LSP integration, security-hardened hook script library, MCP Prompts coverage, common workflow packs, runtime selection guide, computer-use patterns, checkpointing, scheduled-task blueprints, repo bootstrap scanner, hook policy engine (8 installable packs), layered memory deployment, role-based subagent packs (implementer, debugger, migration-lead, dependency-auditor, release-coordinator), 5 agent-team topology kits, autonomy operating mode (4 profiles + 3 gates), and a queryable 15-tool MCP documentation server with autonomy advisor.
Agents specialized in infrastructure management, DevOps, and site reliability engineering. Focuses on deployment, monitoring, and system operations.
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>