Coordinates phased code and documentation reviews generating a final readiness report.
npx skills add https://github.com/JoernStoehler/msc-math --skill review-joernstoehler
Please help me install this Agent Skill. Skill: review Source: https://github.com/JoernStoehler/msc-math/tree/main/.claude/skills/review Command: npx skills add https://github.com/JoernStoehler/msc-math --skill review-joernstoehler
This Skill provides a disciplined, multi-phase workflow for reviewing code and documentation before presenting deliverables to Jörn, ensuring syntax/style issues are addressed prior to semantic correctness.
Start a phase-ordered review by spawning Phase 1 syntax/style checks across the target files, then advance to Phase 2 semantic checks, and generate a structured report.
High-intent search queries and answers about installing and using this skill.
Automated code review for mixed LaTeX and Rust deliverables runs a strict Phase 1 syntax and style check, then advances to Phase 2 semantic verification to isolate concerns. It loads task-specific checklists and spawns subagents to inspect target files in a controlled sequence.
A phased code-review workflow separates syntax and style validation from semantic correctness to prevent cross-phase interference. You need this structured process when preparing complex deliverables containing TeX, Rust, or Python code for final presentation.
Yes, the code review workflow supports Python documentation verification by loading comprehensive checklists from its references directory. It coordinates specialized subagents during Phase 2 to evaluate content correctness alongside TeX and Rust files.
Yes, you can spawn phase-specific subagents to check LaTeX syntax independently during Phase 1. The strict phase sequencing ensures style issues are fully resolved before Phase 2 begins evaluating semantic content correctness.
The best way to structure a final readiness report is to execute a phase-ordered review, running syntax checks before semantic checks. The workflow compiles the isolated findings from each phase-specific subagent into a single structured report.
The code review workflow enforces a strict Phase 1 then Phase 2 sequence to avoid cross-phase interference. Resolving syntax and style issues first ensures that Phase 2 subagents evaluate semantic correctness without being distracted by formatting errors.
Synaptic-Labs-AIConduct structured research and documentation gathering for the PACT Prepare phase.
eprouvezeAggregate audit outputs into a client-ready GEO report with scores and prioritized actions.
getspurDispatch specialized subagents to evaluate git-based code changes before merge.
BIGSHOLExecute sequential verification skills to validate codebase implementation patterns and test coverage.
