Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
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New here? These commands run inside Claude Code, Anthropic's terminal-based coding assistant — not your regular shell. Open a terminal, type claude to start a session, then paste the two lines below inside it.
npx skills add lllllllama/rigorpilot-skills --skill "explore-code" -a claude-code -g -yPaste into a Claude Code session. This only adds/installs the plugin — nothing runs automatically.
O, si ya vinculaste skillcat-sync, envíalo directamente — te pedirá confirmar antes de tocar nada.
This listing is sourced from lllllllama/rigorpilot-skills. We index metadata only and have not executed or audited this code. Review the source before installing.
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