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By helderberto
Run a full SDLC workflow from PRD creation through implementation, testing, code review, and deployment using structured plans, atomic commits, and automated quality gates. Includes accessibility audits, security scanning, dependency checks, and performance analysis.
npx claudepluginhub helderberto/agent-skills --plugin hbAudit accessibility compliance in frontend code. Use when user asks to "check accessibility", "/a11y-audit", "audit a11y", "check WCAG", or wants to find accessibility issues. Don't use for backend code, non-UI files, or projects without HTML/JSX output.
Explore a codebase to surface architectural friction and propose refactors toward deep modules (simple interface, large implementation) as GitHub issue RFCs. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable. Don't use for small one-off refactors or single-file cleanups.
Group unstaged changes into atomic commits by concern, then push. Use when user asks to "atomic commits", "commit by group", "group commits", or wants to split changes into related commits before pushing.
Session briefing — shows active features, progress, and suggested focus. Use at the start of a session, when asking what to work on, or when checking active features.
Implement one phase of a plan. Reads plan, finds next incomplete phase, implements it, runs feedback loops, marks checkboxes, offers commit. One phase per invocation. Use when the user wants to implement, code, build, or work on the next phase of a plan.
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Persona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
AI-powered development workflow automation - Phase-based planning, implementation orchestration, preflight code quality checks with security scanning, ship-it workflow, and development principles generator for CLAUDE.md
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
AI-First SDLC — zero-debt development with validators, enforcement, and workflows
A curated set of skills for each stage of development — propose, spec, design, plan, implement, ship.
Plugin de ingeniería de software completa: 10 agentes de núcleo y 9 opcionales con personalidad propia, memoria persistente por proyecto, quality gates y flujos automatizados desde la idea hasta producción.
Spec-driven workflow for AI coding agents: PRD, plan, build, verify, and track features using tracer-bullet vertical slices.
Personal SDLC toolbelt for AI coding agents — from PRD to ship.
A collection of skills that encode the workflows, quality gates, and engineering practices I use day-to-day. Pure Markdown, zero runtime deps, installable as a Claude Code plugin or copied into any agent that reads instruction files.
DEFINE PLAN BUILD VERIFY REVIEW SHIP
┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐ ┌──────┐
│ Idea │ ────▶ │ Spec │ ─────▶ │ Code │ ──────▶ │ Test │ ──────▶ │ QA │ ──────▶ │ Go │
│Refine│ │ PRD │ │ Impl │ │Debug │ │ Gate │ │ Live │
└──────┘ └──────┘ └──────┘ └──────┘ └──────┘ └──────┘
/hb:prd /hb:plan /hb:build /hb:check /hb:review /hb:ship
Each phase has a dedicated workflow skill that orchestrates the smaller toolbelt skills underneath it. Workflow skills are designed to be invoked explicitly; everything else auto-routes by description.
Install via the marketplace:
/plugin marketplace add helderberto/agent-skills
/plugin install hb@helderberto-skills
After install, skills are available as /hb:<skill-name> — e.g. /hb:prd, /hb:tdd, /hb:ship. Most skills also auto-trigger from natural language ("review this PR", "check accessibility", etc.) based on their description.
Install as native skills:
gemini skills install https://github.com/helderberto/agent-skills.git --path skills
Skills are auto-discovered and routed by description. See docs/gemini-cli-setup.md.
Clone and point OpenCode at the workspace — AGENTS.md plus the skills/ directory drive auto-routing:
git clone https://github.com/helderberto/agent-skills.git
Open the project in OpenCode. The .opencode/skills symlink and root AGENTS.md are already wired. See docs/opencode-setup.md.
Clone the repo, then copy individual skills into .cursor/rules/:
git clone https://github.com/helderberto/agent-skills.git
cp agent-skills/skills/tdd/SKILL.md .cursor/rules/tdd.md
cp agent-skills/skills/code-review/SKILL.md .cursor/rules/code-review.md
See docs/cursor-setup.md for the recommended starter set.
A non-trivial feature flows through all six phases. Each workflow skill is one invocation:
You: /hb:prd add dark mode support
AI: Interviews, scans the codebase, writes .specs/prds/dark-mode.md.
Run /hb:plan dark-mode next?
You: /hb:plan dark-mode
AI: Breaks the PRD into phased vertical slices.
Writes .specs/plans/dark-mode.md.
You: /hb:build dark-mode
AI: Implements next incomplete phase. TDD loop, lint, type-check.
Marks checkboxes in the plan. Offers a commit.
You: /hb:check dark-mode
AI: Verifies plan checkboxes against actual codebase.
Reports total progress and remaining blockers.
You: /hb:review
AI: Detects what changed, runs relevant audits in order
(code-review, a11y-audit, safe-repo, perf-audit, deps-audit, ...).
Consolidates findings into Critical / Important / Suggestion.
You: /hb:ship
AI: Pre-launch gate (validate-code + safe-repo --diff).
Atomic commits, push current branch.
/hb:ship --fast skips the gate (hotfix only).
For quick standalone tasks, you don't need the workflow — just describe what you want and the relevant skill triggers ("write tests for X", "audit deps", "create an ADR for Y").
Organized by SDLC phase. Expand a phase to browse; click a skill to read its SKILL.md.
| Skill | What it does |
|---|---|
prd | Interview + codebase scan → structured PRD in .specs/prds/<slug>.md |
grill-me | Stress-test a plan or design through relentless interview |