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llllllllama/repo-intake-and-plan

Ajudante de assimilação rigorosa para reprodução de repositórios de aprendizado profundo com abordagem README-primeiro. Use quando a tarefa for especificamente escanear um repositório, ler o README e arquivos de projeto comuns, extrair comandos documentados, classificar candidatos de inferência, avaliação e treinamento, e retornar o menor plano de reprodução confiável para o orquestrador principal.

O que é repo-intake-and-plan?

Esta skill é projetada para ser um assistente especializado na assimilação rigorosa de repositórios de aprendizado profundo, seguindo uma abordagem 'README primeiro'. Sua função principal é escanear um repositório, analisar o README e outros arquivos de projeto comuns (como requirements.txt, Makefile, scripts de configuração), extrair comandos documentados e classificá-los em categorias de inferência, avaliação e treinamento. O resultado gerado é um plano de reprodução minimalista, porém confiável, que é então retornado ao orquestrador principal do sistema de IA agente. É ideal para ambientes onde se deseja reproduzir resultados de pesquisa de forma sistemática e auditável, garantindo que apenas as etapas essenciais documentadas sejam seguidas. Esta skill não se destina a tarefas como configuração de ambiente, download de ativos, execução de comandos, geração de relatórios finais, busca de artigos ou orquestração de ponta a ponta; ela se concentra exclusivamente na fase de assimilação e planejamento.

Funciona com~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/lllllllama/ai-paper-reproduction-skill/tree/main/skills/repo-intake-and-plan

Installed? Explore more Pesquisa e Análise de Dados skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

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O que repo-intake-and-plan faz?

Individual skills in this repo

This repo contains 4 individual skills — each has its own dedicated page.

lllllllama/ai-paper-reproduction

Main orchestrator for README-first AI repo reproduction. Use when the user wants an end-to-end, minimal-trustworthy reproduction flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution, optional trusted training, optional repository analysis, and optional paper-gap resolution, enforces conservative patch rules, records evidence assumptions deviations and human decision points, and writes the standardized `repro_outputs/` bundle. Do not use for paper summary, generic environment setup, isolated repo scanning, standalone command execution, silent protocol changes, or broad research assistance outside repository-grounded reproduction.

lllllllama/env-and-assets-bootstrap

Rigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.

lllllllama/minimal-run-and-audit

RigorPilot trusted execution and reporting skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.

lllllllama/paper-context-resolver

Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.

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