paper-context-resolver
🎯Skillfrom lllllllama/ai-paper-reproduction-skill
Companion skill for AI paper reproduction that resolves paper context, references, and dependencies needed when reproducing AI research implementations.
Overview
A companion skill in the ai-paper-reproduction-skill multi-skill repository (now branded ai-research-workflow-skills) that optionally resolves paper-related context — references, dependencies, and narrow documentation needed when reproducing an AI research implementation.
Key Features
- Resolves paper context, references, and dependencies for reproduction workflows
- Optional sub-skill used by the main
ai-paper-reproductionorchestrator - Designed for README-first, trusted-by-default research reproduction
- Shared SKILL.md contracts compatible with Agent Skills, Codex, and Claude Code
Who is this for?
ML researchers and engineers reproducing AI papers who need a disciplined way to resolve paper-level context before touching code. Useful as a companion to ai-paper-reproduction when the paper itself — not just the repo — is the primary source of truth.
Same repository
lllllllama/ai-paper-reproduction-skill(11 items)
Installation
npx vibeindex add lllllllama/ai-paper-reproduction-skill --skill paper-context-resolvernpx skills add lllllllama/ai-paper-reproduction-skill --skill paper-context-resolver~/.claude/skills/paper-context-resolver/SKILL.mdSKILL.md
More from this repository10
Sub-skill for README-first AI paper reproduction that prepares a conservative conda-first environment plus checkpoint, dataset, and cache path assumptions before any run attempt.
Helper skill for README-first AI paper reproduction that scans a repository, extracts documented commands, and returns the smallest trustworthy inference, evaluation, and training plan.
Executes and audits the selected smoke test, documented inference, or evaluation command during README-first AI paper reproduction, writing standardized `repro_outputs/` evidence and patch notes.
README-first AI paper reproduction skill that helps reproduce AI papers by choosing the smallest trustworthy documented target with minimal, auditable code changes.
A lane-aware skill repository for deep learning research workflows that separates trusted reproduction tasks from exploratory candidate work, shipping 11 skills with 42 test scripts across Windows and Linux for use with Claude Code, Codex, and Agent Skills.
Skill
Skill
Skill
Skill
Skill