Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
moltpet
Digital pets for AI agents. Register, claim your egg, and raise a pet by feeding it your daily moods.
majiayu000/claude-skill-registry 163
-
consul
HashiCorp Consul service discovery and mesh. Use for service discovery.
majiayu000/claude-skill-registry 163
-
deep-research
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
majiayu000/claude-skill-registry 163
-
ci-cd-compliance
CI/CD pipeline requirements and deployment standards. Use when (1) Setting up CI/CD pipelines, (2) Debugging CI failures, (3) Configuring deployment workflows, (4) Managing staging/production releases, (5) Investigating build failures. Covers CI gate requirements, merge policies, auto-deploy to staging, production approval process.
majiayu000/claude-skill-registry 163
-
post-mortem
Wrap up completed work. Council validates the implementation, then extract and process learnings. Triggers: "post-mortem", "wrap up", "close epic", "what did we learn".
majiayu000/claude-skill-registry 163
-
nextjs-supabase-auth
Expert integration of Supabase Auth with Next.js App Router Use when: supabase auth next, authentication next.js, login supabase, auth middleware, protected route.
majiayu000/claude-skill-registry 163
-
infographics
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
majiayu000/claude-skill-registry 163
-
design-plan
Create implementation plans for complex tasks with architectural guidance. Use for complex features, multi-file changes, or when planning is needed before implementation.
majiayu000/claude-skill-registry 163
-
typescript-expert-frankxai-arcanea
majiayu000/claude-skill-registry 163
-
Kotlin Language Patterns
idiomatic Kotlin 1.9+ standards (Null Safety, Expressions, Extensions).
majiayu000/claude-skill-registry 163
-
research-review
Get a deep critical review of research from Claude via claude-review MCP. Use when user says "review my research", "help me review", "get external review", or wants critical feedback on research ideas, papers, or experimental results.
majiayu000/claude-skill-registry 163
-
hypogenic
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
majiayu000/claude-skill-registry 163
-
scientist
Universal scientific thinking framework for rigorous inquiry across all domains - from engineering and data analysis to social sciences, humanities, arts, and human behavior. Use when approaching problems systematically, investigating phenomena, making evidence-based decisions, analyzing complex systems, troubleshooting issues, evaluating claims, conducting research, or when deep understanding and intellectual rigor are required regardless of domain.
majiayu000/claude-skill-registry 163
-
strategy
Build and manage custom trading strategies with natural language
majiayu000/claude-skill-registry 163
-
commit-message
Generate a conventional commit message by analyzing staged git changes. Use when the user wants to create, write, or generate a git commit message from their current staged diff. Trigger on phrases like "commit", "commit message", "commit msg", "寫 commit", "提交訊息", "generate commit", or when the user has just finished making code changes and wants to commit them. Also trigger when the user runs /commit.
majiayu000/claude-skill-registry 163
-
srs-generation
Generates professional Software Requirements Specification (SRS) documents based on IEEE 830, ISO/IEC/IEEE 29148, and Amazon technical specification standards. This skill activates when the user needs a requirements document, requirements specification, SRS, functional requirements, non-functional requirements, software requirements, requirements analysis, or requirements engineering. It formalizes product needs into structured, testable, and traceable requirements with unique IDs, acceptance criteria, use cases, a CRUD matrix, and a full traceability matrix linking back to the upstream PRD.
majiayu000/claude-skill-registry 163
-
bugfix
Structured debugging process for bug fixes: reproduce, plan, fix, verify. Use when fixing bugs.
majiayu000/claude-skill-registry 163
-
fp-errors
Stop throwing everywhere - handle errors as values using Either and TaskEither for cleaner, more predictable code
majiayu000/claude-skill-registry 163
-
graphite-cli
This skill should be used to answer questions and guide workflows related to the Graphite CLI. It assists with creating, managing, submitting, and synchronizing stacked code changes (diffs).
majiayu000/claude-skill-registry 163
-
product-title-optimization
Optimize product titles for search visibility and click-through rate across e-commerce platforms. Platform-specific title rules for Amazon (200 chars), Etsy (140 chars), Walmart, Shopify SEO, and eBay.
majiayu000/claude-skill-registry 163
-
node-red
Edit, analyze, and create Node-RED flows by working with flows.json files, understanding node types, and applying Node-RED best practices. Use when the user mentions Node-RED, flows.json, flow development, or needs to modify Node-RED configurations.
majiayu000/claude-skill-registry 163
-
github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
majiayu000/claude-skill-registry 163
-
rathena-wiki-cydh-rathena-wiki
majiayu000/claude-skill-registry 163
-
nemo-curator
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
majiayu000/claude-skill-registry 163