create-event-schema
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generate-mockup
Generate UI mockups using Magic MCP (21st.dev). Use when (1) creating new UI components, (2) prototyping interfaces, (3) building design system components.
generate-spec
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git-workflow
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create-command
Create SEMO slash commands following Claude Code conventions. Use when (1) need to add new /SEMO:command, (2) creating interactive workflows triggered by slash commands, (3) packaging command-based operations.
create-decision-log
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optimization
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debugging
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development
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console-specs
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testing
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publishing
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ffi-reference
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rendering
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code-review
Perform thorough code reviews with security, performance, and maintainability analysis. Use when user asks to review code, check for bugs, or audit a codebase.
Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
generate-modes
Generates three project-specific behavioral mode skills (planner, debugger, qa-tester) from project memories and bundled templates, and makes them selectable via switching-modes. Use when creating project-local agent modes for a repository.
bootstrapping-design-docs
Creates design document infrastructure including templates, workflows, and a specific design doc skill. Use when setting up design docs for a new project or when the user mentions "bootstrapping-design-docs".
activating-memories
Loads project-specific memories at session start and triggers onboarding for new projects. Use when starting a new coding session or when the user says "activate" or asks about project context.
writing-memories
Writes or updates memory files with proper YAML frontmatter in the agent's memories directory. Use when saving new project learnings or updating existing memory files.
recording-diary
Records session learnings and decisions before context compaction. Use before ending a long session or when the user asks to save session notes.
generating-subtasks
Converts approved design documents into agent-executable XML subtasks. Use after a design doc is approved and ready for implementation.
improve-skill
Analyze coding agent session transcripts to improve existing skills or create new ones. Use when asked to improve a skill based on a session, or extract a new skill from session history.
explaining-code
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
gemini-imagegen
This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
fal-ai
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commit-push
Commit and push changes with gitmoji-style messages. Triggers on '/commit-push' or phrases like 'commit and push', 'save my changes', 'push this'.
design-postgres-tables
Comprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints, performance patterns, and advanced features
sentry
Fetch and analyze Sentry issues, events, transactions, and logs. Helps agents debug errors, find root causes, and understand what happened at specific times.
advanced-git
Advanced Git - interactive rebase, cherry-pick, bisect, reflog, and power user operations
branching
Git branching strategies - create, switch, merge, rebase, and workflows
git-basics
Git fundamentals - init, add, commit, status, log, and core concepts
basic-workflow
Daily Git workflow - add, commit, push, pull cycle for everyday development
git-intro
Introduction to Git version control - what, why, and first steps
github-features
GitHub platform features - PRs, issues, actions, projects, and automation
collaboration
Team collaboration - remote, fetch, pull, push, clone, and team workflows
benchmark-datasets
Standard datasets and benchmarks for evaluating AI security, robustness, and safety
model-extraction
Techniques to extract model weights, architecture, and training data through API queries
data-poisoning
Test AI training pipelines for data poisoning vulnerabilities and backdoor injection
rag-exploitation
Attack techniques for Retrieval-Augmented Generation systems including knowledge base poisoning
prompt-injection-testing
Master prompt injection attacks, jailbreak techniques, input manipulation, and payload crafting for LLM security testing
red-team-reporting
Professional security report generation, executive summaries, finding documentation, and remediation tracking
defense-implementation
Implement mitigations, create input filters, design output guards, and build defensive prompting for LLM security
continuous-monitoring
Real-time monitoring and detection of adversarial attacks and model drift in production
secure-deployment
Security best practices for deploying AI/ML models to production environments
security-testing
Comprehensive security testing automation for AI/ML systems with CI/CD integration
code-injection
Test AI systems for code injection vulnerabilities including prompt-to-code attacks and agent exploitation
vulnerability-discovery
Systematic vulnerability finding, threat modeling, and attack surface analysis for AI/LLM security assessments
safety-filter-bypass
Techniques to test and bypass AI safety filters, content moderation systems, and guardrails for security assessment
llm-jailbreaking
Advanced LLM jailbreaking techniques, safety mechanism bypass strategies, and constraint circumvention methods
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