paper-context-resolver
Optional narrow helper skill for README-first AI 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.
Best use case
paper-context-resolver is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Optional narrow helper skill for README-first AI 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.
Teams using paper-context-resolver should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/paper-context-resolver/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How paper-context-resolver Compares
| Feature / Agent | paper-context-resolver | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Optional narrow helper skill for README-first AI 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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# paper-context-resolver ## 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`.
Related Skills
json-to-llm-context
Turn JSON or PostgreSQL jsonb payloads into compact readable context for LLMs. Use when a user wants to compress JSON, reduce token usage, summarize API responses, or convert structured data into model-friendly text without dumping raw paths.
opencontext
Persistent memory and context management for AI agents using OpenContext. Keep context across sessions/repos/dates, store conclusions, and provide document search workflows.
hig-project-context
Create or update a shared Apple design context document that other HIG skills use to tailor guidance. Use when the user says 'set up my project context,' 'what platforms am I targeting,' 'configure HIG settings,' or when starting a new Apple platform project.
ddd-context-mapping
Map relationships between bounded contexts and define integration contracts using DDD context mapping patterns.
context7-auto-research
Automatically fetch latest library/framework documentation for Claude Code via Context7 API
context-window-management
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context.
context-manager
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.
context-management-context-save
Use when working with context management context save
context-management-context-restore
Use when working with context management context restore
context-driven-development
Use this skill when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md, and workflow.md files.
code-refactoring-context-restore
Use when working with code refactoring context restore
c4-context
Expert C4 Context-level documentation specialist. Creates high-level system context diagrams, documents personas, user journeys, system features, and external dependencies. Synthesizes container and component documentation with system documentation to create comprehensive context-level architecture. Use when creating the highest-level C4 system context documentation.