- Home
- /
- Categories
- /
- Code Review
Code Review
Automated code review and analysis
weekly-review
by cursor
Produce a weekly synthesis of authored commits with highlights by bugfix, tech debt, and net-new work
fix-ci
by cursor
Find failing CI jobs, inspect logs, and apply focused fixes
new-branch-and-pr
by cursor
Create a fresh branch, complete work, and open a pull request
review-plugin-submission
by cursor
Audit a Cursor plugin for marketplace readiness. Use when validating manifests, component metadata, discovery paths, and submission quality before publishing.
loop-on-ci
by cursor
Watch CI runs and iterate on failures until all checks pass
get-pr-comments
by cursor
Fetch and summarize review comments from the active pull request
run-learning-retrospective
by cursor
Evaluate learning progress, identify blockers, and adjust the learning plan
review-and-ship
by cursor
Run a structured review, close key issues, and ship changes via PR
blog-seo-check
by AgriciDaniel
Post-writing SEO validation with pass/fail checklist covering title tag length and keyword placement, meta description quality, heading hierarchy and keyword density, internal/external link audit with anchor text analysis, canonical URL verification, Open Graph meta tags (og:title, og:description, og:image), Twitter Card validation, URL structure optimization, and image alt text presence. Produces prioritized fix list with specific recommendations. Use when user says "seo check", "check seo", "validate seo", "blog seo", "seo validation", "on-page seo", "title tag check", "meta description check", "heading check", "link audit".
blog
by AgriciDaniel
Full-lifecycle blog engine with 12 commands, 12 content templates, 5-category 100-point scoring, and 4 specialized agents. Optimized for Google rankings (December 2025 Core Update, E-E-A-T) and AI citations (GEO/AEO). Writes, rewrites, analyzes, outlines, audits, and repurposes blog content with answer-first formatting, sourced statistics, Pixabay/Unsplash/Pexels images, built-in SVG chart generation, JSON-LD schema generation, and freshness signals. Supports any platform (WordPress, Next.js MDX, Hugo, Ghost, Astro, Jekyll, 11ty, Gatsby, HTML). Use when user says "blog", "write blog", "blog post", "blog strategy", "content brief", "editorial calendar", "analyze blog", "rewrite blog", "update blog", "blog SEO", "blog optimization", "content plan", "blog outline", "seo check", "schema markup", "repurpose", "geo audit", "blog audit", "citation readiness".
blog-audit
by AgriciDaniel
Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and a prioritized action queue. Use when user says "audit blog", "blog audit", "site audit", "blog health", "audit all posts", "check all blogs".
deployment-readiness-check
by forcedotcom
Comprehensive pre-deployment validation checklist for Salesforce releases. Use before deploying to production to catch metadata issues, test coverage gaps, and configuration errors.
ship-safe
by asamassekou10
Run a full security audit on this project — 12 agents scan for secrets, injections, auth bypass, SSRF, supply chain attacks, misconfigs, and more. Use when the user wants a security audit, vulnerability scan, or asks if their code is safe to ship.
code-review
by pipecat-ai
Automated code review for pull requests using multiple specialized agents
nature-statistics
by Yuan1z0825
Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions. Use when the user asks to check statistical analysis sections, p values, confidence intervals, sample size, biological versus technical replicates, randomization, blinding, multiple-comparison correction, model assumptions, figure legends, Results statistics wording, reviewer comments about statistics, or Chinese academic drafts needing publication-ready Statistical analysis text. Also trigger on general paper-statistics requests such as 统计审查、统计分析小节、统计方法、p值、样本量、重复数、多重比较、置信区间、效应量、图注统计、审稿人统计意见.
nature-paper-card
by Yuan1z0825
Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing.
github-pull-request-description
by longbridge
Write a description to description GitHub Pull Request.
get-available-resources
by K-Dense-AI
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.
drugbank-database
by K-Dense-AI
Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
clinvar-database
by K-Dense-AI
Query NCBI ClinVar for variant clinical significance. Search by gene/position, interpret pathogenicity classifications, access via E-utilities API or FTP, annotate VCFs, for genomic medicine.
histolab
by K-Dense-AI
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
setup-pre-commit
by mattpocock
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
econ-abstract-writing
by brycewang-stanford
Guide for writing the abstract of an academic economics paper. Use this skill whenever the user asks for help writing, drafting, revising, or structuring an abstract for an economics paper - whether empirical micro, development economics, applied economics, or related fields. Also trigger when the user mentions "abstract," "paper summary," or asks how to compress their findings into a short description. This skill synthesizes best practices from David Evans (CGDev), Marc Bellemare, and patterns observed in top economics journals (AER, QJE, AEJ: Applied, etc.).
academic-paper-verify
by brycewang-stanford
Thoroughly verify all code, tables, figures, modeling decisions, and quantitative claims in an academic paper against its source R scripts and output files. Use this skill whenever you need to audit, replicate, or verify an academic research paper - including cross-checking LaTeX tables against R output, validating econometric modeling choices, ensuring sample sizes are consistent, building a verification manifest, and running automated replication tests. Trigger this skill for any mention of: paper verification, replication check, table audit, code-paper consistency, reproducing results, verifying estimates, checking coefficients, or any variant of "does the paper match the code."