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Polyterative
Perfil de criador do GitHub

Polyterative

Visão por repositório de 4 skills coletadas em 1 repositórios do GitHub.

skills coletadas
4
repositórios
1
atualizado
2026-07-03
mapa de repositórios

Onde as skills estão

Principais repositórios por número de skills coletadas, com sua participação neste catálogo do criador e sua distribuição ocupacional.

explorador de repositórios

Repositórios e skills representativas

patcher
Desenvolvedores de software

Routing and tooling guide for development work in the Patcher repository (Angular 21 + RxJS + Supabase synth-rack app). Use this skill when the user asks for non-trivial dev work — planning, implementing components/services, reviewing changes, refactoring, writing tests, polishing UI, diagnosing bugs, or says "begin loop" / "run the loop" to start the coordinator-loop backlog automation. Points to specialised agent personas in internaldocs/agents/ and surfaces the LSP / cocoindex / Sentry / Supabase MCP tools configured in this repo. Skip for trivial questions or pure doc reads.

2026-07-03
duplicate-module-merge
Desenvolvedores de software

Safe workflow for merging duplicate Patcher modules in Supabase. Use when the user asks to migrate, merge, consolidate, or delete duplicate modules by module ID, especially when rack placements, user ownership statuses, patch connections, panels, or tags may reference the duplicate. Requires read-only exploration first and explicit user confirmation before any write/delete.

2026-06-18
patcher-ui-debug
Desenvolvedores de software

Use when an agent persona (bug-hunter, designer, frontend-dev) needs to see what the running Patcher app actually looks like — to reproduce a visual bug, validate a fix, or inspect runtime DOM/console state. Provides a headless snapshot helper plus the Sentry/Supabase MCP cookbook for runtime context.

2026-06-15
ai-dlc
Especialistas em gestão de projetos

AWS AI-DLC (AI Development Life Cycle) formal phased workflow for software development — Inception (workspace detection, reverse engineering, requirements analysis, user stories, workflow planning, application design, units generation) → Construction (functional design, NFR, infrastructure design, code generation, build and test) → Operations. Use this skill ONLY when the user explicitly requests AI-DLC, references AIDLC phases by name (e.g., "do the inception phase", "run reverse engineering"), or asks to follow the structured AWS AI-DLC process. Do NOT load for normal Patcher development work — that uses the `patcher` skill instead.

2026-05-14
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