Comments
Code comments and annotations
shap
by eyadsibai
Use when "SHAP", "Shapley values", "feature importance", "model explainability", or asking about "explain predictions", "interpretable ML", "feature attribution", "waterfall plot", "beeswarm plot", "model debugging"
foodie-site
by elinking-111
"Build or iteratively evolve a foodie/travel review website from notes and deploy it to GitHub Pages. Use this skill both for greenfield generation from Apple Notes/pasted text/social posts and for ongoing upgrades to an existing site: visual refinement, map/filter changes, showcase pages, shared interactions, and admin editing for shared content."
denarrate
by corygabrielsen
Strip narrative mode from descriptive artifacts. Comments describe state and intent — they don't tell stories.
explain-code-concepts
by ricardogomes
Guided concept discovery for learners who notice patterns, architectural choices, or design decisions in code and want to understand the ideas behind them. Use when a learner can read and write code but is glimpsing higher-level shapes they can't yet name or fully articulate — recurring structures across a codebase, architectural conventions, design trade-offs, or unfamiliar paradigms. Triggers on phrases like "I keep seeing this pattern", "why is the codebase structured this way", "there's a shape here I can't name", "what's the idea behind this approach", "I notice everything follows this structure", or when a learner describes a recurring pattern without knowing the concept it embodies.
nib
by douglance
Visual feedback from humans via screenshot annotations. Use this skill CONSTANTLY — any time you need visual context, want to verify UI changes, need to confirm layout, debug a visual issue, check styling, validate a design, or show your work. Capture the screen, look at it, figure out what you need feedback on, annotate it, and ask. Do not ask the user what to capture — just capture and look.
art-of-comment
by rakaadi
This is your guide for giving a comments within the codebase, whether it's a inline comment or a comprehensive JSDoc style comment. Use this skill when you generate a code for bugs fixing, building a new components, refactoring and implementing new features.
inline-docs
by manastalukdar
Generate JSDoc/docstrings from code analysis
Tech Tutor (Ren Nakamura Persona)
by PrakharMNNIT
Intuition-first tech mentor who makes complex concepts click through visuals, analogies, and the 6-layer explanation framework. Use this skill when the user asks to "explain", "tutor", "teach", "mock interview", or needs intuition regarding DSA, System Design, or AI/ML.
learn-from-real-code
by ricardogomes
Teaches learners to extract transferable design lessons from real-world codebases through critical evaluation and systematic exploration. Use when a learner wants to study existing code to learn patterns, architecture, or design decisions—not just understand what it does. Guides through navigation, pattern recognition, critical evaluation (deliberate choice vs. compromise), and lesson extraction. Triggers on phrases like "learn from this codebase", "study how X is implemented", "understand design patterns in Y", or when a learner wants to improve by reading real code.
pr-comment-analysis
by auldsyababua
Extract, consolidate, and prioritize all comments from GitHub Pull Requests for systematic code review. Fetches both inline review comments and general PR conversation, then analyzes and organizes them by priority (critical bugs/security, design improvements, style nitpicks). Use when working with PR reviews, consolidating feedback from multiple reviewers, or creating action plans from review comments.
sql-analysis
by spjoshis
Master SQL for data analysis with complex queries, joins, aggregations, window functions, and query optimization.
codebase-documenter
by auldsyababua
This skill should be used when writing documentation for codebases, including README files, architecture documentation, code comments, and API documentation. Use this skill when users request help documenting their code, creating getting-started guides, explaining project structure, or making codebases more accessible to new developers. The skill provides templates, best practices, and structured approaches for creating clear, beginner-friendly documentation.
warehouse-optimization
by timequity
Query optimization, partitioning, clustering, and warehouse tuning.
postiz
by Narftz
Postiz is a tool to schedule social media and chat posts to 28+ channels X, LinkedIn, LinkedIn Page, Reddit, Instagram, Facebook Page, Threads, YouTube, Google My Business, TikTok, Pinterest, Dribbble, Discord, Slack, Kick, Twitch, Mastodon, Bluesky, Lemmy, Farcaster, Telegram, Nostr, VK, Medium, Dev.to, Hashnode, WordPress, ListMonk
gstack
by 24601
Fast headless browser for QA testing and site dogfooding. Navigate pages, interact with elements, verify state, diff before/after, take annotated screenshots, test responsive layouts, forms, uploads, dialogs, and capture bug evidence. Use when asked to open or test a site, verify a deployment, dogfood a user flow, or file a bug with screenshots.
SKILL.md — Paper2Protocol Skill Definition
by ChrisLou-bioinfo
🦞 Claw (AI Research Assistant)
database-indexing
by 1Mangesh1
Database indexing strategies and query optimization. Use when user asks to "optimize queries", "create indexes", "database performance", "query analysis", "explain plans", "index selection", "slow queries", "database tuning", "schema optimization", or mentions database performance and query optimization.
distributed-systems-patterns
by adibhanna
Apply distributed-systems, messaging, and integration patterns to architectural decisions, message contracts, runbooks, and launch decisions for event-driven, microservice, queue, broker, saga, outbox, CDC, workflow, scaling, resilience, and multi-region work. Triggers include Kafka, RabbitMQ, SQS/SNS/EventBridge, Pub/Sub, NATS, Pulsar, Temporal, Step Functions, Debezium, CloudEvents, AsyncAPI, OpenTelemetry, plus idempotency, DLQs, retries, ordering, schema evolution, replay, sharding, backpressure, circuit breaking, autoscaling, SLOs, RFCs, and ADRs. Six commands produce durable artifacts; the skill does not generate implementation code or tests.
unslop
by HugoRCD
Remove AI-generated "slop" from codebases by deleting redundant comments and unused code, tightening formatting, and normalizing styling patterns (e.g., Tailwind class consistency, Nuxt UI color tokens). Use when a user asks to clean up code, remove unnecessary comments, reduce unused imports/variables, or align Tailwind/Nuxt UI conventions.
typescript-implementation
by pluginagentmarketplace
Implement TypeScript patterns, convert JavaScript to TypeScript, add type annotations, create generics, implement decorators, and enforce strict type safety in Angular projects.
validate-implementation-plan
by b-mendoza
Audit and annotate an AI-generated implementation plan for requirements traceability, YAGNI compliance, and assumption risks. Use when reviewing, validating, or auditing an implementation plan or design proposal produced by an AI agent.
review-pr
by corygabrielsen
Thorough, educational PR review process. Gathers context, explains changes, identifies issues systematically, and drafts constructive feedback collaboratively before submitting.
worked-examples
by Semprini
Use this skill when the user asks to see an example, says "walk me through", "show me how [concept] looks in practice", mentions the Simple Customer or Financial Crime example, or wants to understand how a complete MD-DDL model is structured. Also use when a user asks for a concrete demonstration of a concept after it has been explained.
python-guidelines
by viktor-ferenczi
Guiding principles for writing clear, concise, human readable and maintainable Python code.