A Team
claudecodexUniversal multi-agent infrastructure: 26 specialist agents, 20 enforced workflow skills, and a lead orchestrator
20 skills · 26 agents · hooks
AI product quality enforcement: 7 skills and 3 agents for product teams
Plugin builder-product from marketplace rbraga01 in RBraga01/a-team. Commands read from the repo's manifest — 12 days ago.
ab-test-designUse before running any experiment that will inform a product decision. All six elements — hypothesis, metric, sample size, duration, stopping rule, and decision rule — must be defined before the test starts. Blocks "we'll stop when we see something" completions.
ai-feature-validationUse before any AI feature is approved for build. Covers four AI-specific risks that standard PRD review misses: hallucination UX, trust calibration, scope creep, and reversibility. Blocks "we validated it like any other feature" completions.
feature-scopingUse before any engineering estimate is made. Requires a written scope before an estimate, and a written estimate before a commit. Blocks "we'll scope as we go" and "just give me a rough number" completions.
metric-definitionUse before writing any implementation code for a new feature. North star metric, guardrail metrics, and diagnostic metrics must be defined — with baselines — before the build begins. Blocks "we'll figure out the metrics from the data" completions.
mvp-scope-validatorUse before writing a PRD for a new product or feature. Extracts the core hypothesis and reduces scope to the minimum needed to test it. Blocks feature lists that bundle multiple unvalidated assumptions.
prd-quality-gateUse before committing scope, estimate, or engineering time to any feature. Requires user problem, success metric, scope boundary, and anti-goals defined before any estimate is made. Blocks "we'll define success once we see the data" completions.
user-research-synthesisUse after conducting user research and before making product decisions from it. Requires every insight to map to a decision. Blocks "users said X" reports that produce no actionable direction.
Universal multi-agent infrastructure: 26 specialist agents, 20 enforced workflow skills, and a lead orchestrator
20 skills · 26 agents · hooks
AI growth quality enforcement: 14 skills and 5 agents for growth teams
14 skills
AI product quality enforcement: 8 skills and 5 agents for LLM product teams
8 skills
AI UI design quality enforcement: 8 skills and 5 agents for UI design teams
8 skills
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Package any website or local web build into a lightweight desktop app with Pake CLI.
1 skill
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