By aj-geddes
Orchestrate multi-agent teams inside Claude Code with cost-aware model tiering, MCP-aware routing, and workflow fan-out. Each agent gets an isolated 200K context window for parallel execution of code review, TDD implementation, system design, infrastructure, and security analysis across Python, JS/TS, Go, and Rust.
System design agent. Produces ADRs, API contracts, data models, and design packages. Evaluates patterns, documents tradeoffs, and provides implementation guidance for the Developer agent.
TDD-first implementation agent. Writes code across Python, JS/TS, Go, and Rust using strict RED-GREEN-REFACTOR discipline. Returns code, tests, coverage reports, and self-review results.
Infrastructure and deployment agent. Creates CI/CD pipelines, writes IaC, configures container orchestration, sets up monitoring and observability, and manages safe deployment strategies.
Language acquisition and cross-ecosystem agent. Rapidly learns new programming languages, transfers patterns between ecosystems, and creates knowledge packages for the Developer agent.
Code review and security analysis agent. Runs structured 4-layer review (automated, logic, design, security), enforces quality gates, and provides STRIDE-based threat modeling.
Strategic code comprehension protocol for navigating existing codebases. ALWAYS trigger on "understand this code", "how does this work", "refactor", "before changing", "legacy code", "code review", "what does this do", "explain this codebase", "walk me through", "unfamiliar code", "read through". Use when exploring unfamiliar code, preparing to modify legacy systems, debugging complex issues, or conducting code reviews. Different from pattern-transfer which maps known solutions across domains -- this skill builds accurate mental models of existing code.
Guides the user through containerization, CI/CD pipelines, Kubernetes deployments, observability, and infrastructure management. ALWAYS trigger on "dockerize", "CI/CD", "kubernetes", "deploy", "monitoring", "logging", "metrics", "helm", "infrastructure", "observability", "rollback", "scaling", "pipeline", "container", "k8s", "GitOps", "Dockerfile", "health check", "troubleshoot deployment". Use when containerizing applications, building pipelines, deploying services, setting up monitoring, or debugging infrastructure issues. Different from the DevOps agent (agents/devops.md) which handles orchestration and runbook execution rather than pattern guidance.
Guides the user through risk-based task estimation using decomposition, three-point estimates, and PERT formula. ALWAYS trigger on "estimate", "how long will this take", "time to complete", "sizing", "scope this", "effort estimate", "how many hours", "story points", "project timeline", "when will this be done", "cost estimate", "level of effort". Use when sizing any work item, feature, or project.
Guides Go development with idiomatic patterns, tooling, and project structure. ALWAYS trigger on "go project", "go module", "go mod", "goroutine", "channel", "go test", "go build", "golangci-lint", "go interface", "go error handling", "go concurrency", "go struct", "go anti-pattern", "go best practices", "go tooling", "go lint". Use when setting up Go projects, writing idiomatic Go, choosing concurrency patterns, or configuring tooling. Different from testing skill which covers general test strategy; this covers Go-specific testing patterns and tooling configs.
HVS Skill Buddy is the meta-skill for the entire HVS skill ecosystem. It keeps skills current with the latest Anthropic patterns, audits the skill library for drift and inconsistency, and creates new skills that fit the HVS system standard. ALWAYS trigger when the user mentions "skill buddy", "audit my skills", "skill drift", "create a new skill", "build a skill", "update my skills", "skill system", "are my skills consistent", "hvs skill", "skill conflicts", "skill overlap", "new skill for", or any request to inspect, improve, create, or manage skills in the HVS library. Also trigger when someone asks Claude to "make a skill like my other ones" or "keep this consistent with my existing skills."
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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A Claude Code plugin that encodes the "hidden 80%" of software engineering expertise into 5 specialized agents and 14 composable skills — now with cost-aware model tiering, MCP-aware routing, and workflow fan-out.
Most AI coding tools help with the visible 20% -- writing code, answering syntax questions, generating boilerplate. But experienced developers spend 80% of their effort on skills that are rarely taught: reading code strategically, recognizing cross-domain patterns, estimating with risk awareness, self-reviewing before anyone sees the code, and managing technical debt deliberately.
This plugin encodes those skills into a coordinated agent team that Claude Code uses automatically.
haiku → sonnet → opus, with fable reserved for the single hardest task and a free local-codegen tier below them all)./review, /feature, /research) for multi-agent passes with adversarial verification, installable into .claude/workflows/.# Add the marketplace
claude plugin marketplace add aj-geddes/unicorn-team
# Install the plugin
claude plugin install unicorn-team@unicorn-team
Done. Claude Code discovers all 14 skills, registers event hooks, and activates the orchestrator.
To register the bundled workflow templates as slash commands in a project:
# from your project root, after installing the plugin
./.claude/plugins/.../skills/orchestrator/scripts/install-workflows.sh
# (or ask Claude: "install the unicorn workflow templates")
You make a request. The orchestrator picks an execution surface (a direct answer, a single agent, parallel agents, or a workflow), routes each delegation to the cheapest correct model tier, uses any MCP servers you have configured, and enforces quality gates on the result.
flowchart TB
User([User Request])
subgraph Orchestrator["ORCHESTRATOR (skill, main loop)"]
O["Pick surface: direct / agent / workflow\nPick model tier: haiku→sonnet→opus→fable\nDiscover + route to MCP servers\nEnforce quality gates"]
end
subgraph Agents["AGENT TEAM (fresh 200K context each)"]
direction LR
AR["Architect\nopus"]
DV["Developer\nsonnet"]
QA["QA-Security\nsonnet"]
DO["DevOps\nsonnet"]
PG["Polyglot\nopus"]
end
subgraph Surfaces["EXECUTION SURFACES"]
direction LR
AG["Agent tool\n1–4 delegations"]
WF["Workflow tool\nfan-out + verify"]
end
QG{{"Quality Gates\ntests pass · coverage ≥ 80%\nself-review · QA approved"}}
User --> O
O --> AG & WF
AG & WF --> AR & DV & QA & DO & PG
AR & DV & QA & DO & PG --> QG
QG --> Result([Result + Proof])
style Orchestrator fill:#313244,stroke:#cba6f7,stroke-width:2px,color:#ffffff
style Agents fill:#313244,stroke:#fab387,stroke-width:2px,color:#ffffff
style Surfaces fill:#313244,stroke:#89b4fa,stroke-width:2px,color:#ffffff
style QG fill:#45475a,stroke:#a6e3a1,stroke-width:2px,color:#ffffff
Every implementation follows strict TDD:
flowchart LR
R["RED\nWrite failing test"]
G["GREEN\nMinimum code to pass"]
F["REFACTOR\nImprove, tests still green"]
V["VERIFY\nSelf-review + coverage"]
R --> G --> F --> V -->|Next feature| R
style R fill:#f38ba8,stroke:#f38ba8,color:#1e1e2e
style G fill:#a6e3a1,stroke:#a6e3a1,color:#1e1e2e
style F fill:#89b4fa,stroke:#89b4fa,color:#1e1e2e
style V fill:#cba6f7,stroke:#cba6f7,color:#1e1e2e
The orchestrator routes each delegation to the lowest tier that produces a correct result, overriding the agent's default model per-invocation. Raise effort within a tier before jumping tiers, and escalate only behind a cheap verifier (tests/lint) — otherwise start at the right tier.
npx claudepluginhub aj-geddes/unicorn-team --plugin unicorn-teamHarness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
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.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.