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Paper Context Resolver

  • 11 installs
  • 512 repo stars
  • Updated July 26, 2026
  • lllllllama/ai-research-workflow-skills

This is a copy of paper-context-resolver by lllllllama - installs and ranking accrue to the original listing.

Helps with ai & agent building tasks.

About

paper-context-resolver is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • paper-context-resolver
  • AI & Agent Building
  • AI-coding skill

Paper Context Resolver by the numbers

  • 11 all-time installs (skills.sh)
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/lllllllama/ai-research-workflow-skills --skill paper-context-resolver

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Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs11
repo stars512
Last updatedJuly 26, 2026
Repositorylllllllama/ai-research-workflow-skills

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

paper-context-resolver

Use this as the Rigor Paper Context helper. The installed slug remains paper-context-resolver for compatibility.

When to apply

  • README and repo files leave a reproduction-critical gap.
  • The gap concerns dataset version, split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumptions.
  • The main skill needs a narrow evidence supplement instead of a full paper summary.
  • There is already a concrete reproduction question to answer.

When not to apply

  • The README already gives enough reproduction detail.
  • The user wants a general paper explanation rather than reproduction support.
  • The goal is to override README instructions without documenting the conflict.
  • The only available input is a paper title and there is no concrete reproduction gap yet.

Clear boundaries

  • This skill is optional.
  • This skill is helper-tier and should usually be orchestrator-invoked.
  • It supplements README-first reproduction.
  • It does not replace the main orchestration flow.
  • It does not summarize the whole paper by default.

Input expectations

  • target repo metadata
  • reproduction-critical question
  • existing README or repo evidence
  • any already known paper links

Output expectations

  • narrowed source list
  • reproduction-relevant answer only
  • explicit README-paper conflict note when applicable
  • clear distinction between direct evidence and inference

Notes

Use references/paper-assisted-reproduction.md.

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