By ambrovia
Structured, multi-agent development: work packages run through design → critique → build → review → retro → ship, with separated planner/reviewer/builder personas, quality gates, and a compounding feedback loop that turns repeated observations into process fixes.
Pre-implementation thinker who owns concept probing, UX/UI exploration, and architecture planning. Produces the locked design + plan that the builder executes. Use when a feature needs concept-locking, design exploration, or technical planning — before any code is written.
Single evaluator persona. Critiques design/architecture pre-implementation and reviews code post-implementation against contracts, design rules, and security. Use to evaluate producer output. Findings-only — read-only, never writes code.
Executor. Implements the locked plan — writes tests and production code, applies review fixes. Use to implement features, write tests, fix bugs, wire interactions, or apply review findings. Does NOT redesign in-flight (raises a BLOCKER instead).
Score a technical plan against the 9-dimension architectural rubric BEFORE any code is written. Use in Phase 2 after the planner produces a plan, or on demand to audit a plan for a work package. Evaluation act — reviewer persona scores the planner's plan; distinct from reviewing implemented code.
Produce the technical plan for a work package — types, schemas, APIs, file paths, ordered tasks. Interrogate the spec, reconcile it against the codebase, then draft. Run AFTER /concept (always) and AFTER /design (when the work package has UI).
Self-improvement loop: review the retro log, identify recurring patterns (3+ occurrences), and propose skill/process changes. Run after multiple work packages complete or on demand.
Pre-implementation concept-locking pass: answer 'what IS this thing?' before any design or architecture. Run as the entry point on any work package that introduces or reshapes a primitive, a domain concept, or a load-bearing noun in the system.
Score design variants against a 9-dimension rubric as a fresh reviewer. Trigger in Phase 2 after the planner finishes producing variants, on explicit /design-critique <work-package-id>, or to score a rendered implementation against its approved mockup. Skip if no design system is configured.
Modifies files
Hook triggers on file write and edit operations
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.
Structured, multi-agent software development for any AI coding tool.
From agentic development to agents as the developer team.
Freeform "vibe coding" with an agent fails at scale: no separation between deciding what to build and building it, the author grades their own homework, scope creeps, review gets skipped when "it's simple," and nothing compounds.
Pipeline replaces that with structure. Work is broken into work packages — small, outcome-level specs with acceptance criteria — and each runs through a fixed phase loop driven by three separated personas:
work package ──▶ design ──▶ critique ──▶ build (TDD) ──▶ review ──▶ retro ──▶ ship
planner reviewer builder reviewer fresh builder
verify command must pass and the review verdict must be DONE before ship.skills/ — the pipeline skills, each a SKILL.md (the Agent Skills open standard).agents/ — planner / reviewer / builder persona subagents.hooks/ — a session-start hook (surfaces the pipeline) and an edit-streak hook (nudges the orchestrator to delegate after 5 consecutive edits). Both are wired for Claude, Cursor, Gemini, Codex, and Copilot via .cursor/, .codex/, .gemini/, .github/. The edit-streak skips subagent edits on Claude (which exposes that distinction); on the others it's best-effort./plugin marketplace add ambrovia/agent-skills-pipeline
/plugin install pipeline@agent-pipeline
Skills become /pipeline:concept, /pipeline:review, … and the orchestrator /pipeline.
These tools read SKILL.md from their own directory. Copy skills/ (and agents/) into it, plus hooks/ and your tool's hook config (.cursor/, .gemini/, .codex/, or .github/) so the pipeline surfaces at session start:
| Tool | Put skills in |
|---|---|
| Cursor | .cursor/skills/ or .agents/skills/ |
| Copilot | .github/skills/ or .agents/skills/ |
| Gemini / Antigravity | .gemini/skills/ or .agents/skills/ |
| Codex | .agents/skills/ |
.agents/skills/is the shared standard for all of these. Claude Code is the exception — it reads.claude/skills/, so use the plugin (or copy into.claude/).
Everything project-specific lives in one file. Copy pipeline.config.example.yml to pipeline.config.yml; skills resolve {{key}} from it:
verify: "go test ./..." # the single command that must pass before ship
designSystem: null # null → the design phases are skipped
vcs: github
concept · design · architecture · design-critique · architecture-critique · write-tests · write-code · write-docs · review · ship · retro · compound · lore · work-planning · pipeline
Run a whole work package through every applicable phase with /pipeline <id>. After several work packages, run /compound to mine the retro log for recurring patterns and propose process fixes. Use /lore anytime to capture or surface tribal knowledge.
npx claudepluginhub ambrovia/agent-skills-pipeline --plugin pipelineComprehensive 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.
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.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review