lllllllama/rigorpilot-skills

paper-context-resolver

Rigor Paper Context helper for README-first deep learning repo reproduction.

소스 보기
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

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.

같은 저장소의 Skills

더 많은 Skills

모든 Skills
lllllllama
커뮤니티

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.

설치 수
45만
GitHub Stars
495
업데이트
9월 19일
lllllllama
커뮤니티

minimal-run-and-audit

Rigor Run 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 reprooutputs/ 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.

설치 수
45만
GitHub Stars
495
업데이트
9월 19일
lllllllama
커뮤니티

repo-intake-and-plan

Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.

설치 수
45만
GitHub Stars
495
업데이트
9월 19일
lllllllama
커뮤니티

ai-research-explore

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of currentresearch with auditable repo understanding, idea gating, fair comparison, and governed experiments written to exploreoutputs/. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.

설치 수
31.1만
GitHub Stars
495
업데이트
9월 19일