test
HTML documentation test
xenium-benchmarking-docs-local
Xenium benchmarking 本地文档快照（全量 HTML）- 包含完整模块文档
github
GitHub CLI (gh) tool for retrieving and analyzing GitHub data including pull requests, issues, code search, workflow runs, releases, and repository information. Use when needing to read GitHub PRs, view comments, check CI/CD status, search code across repos, analyze issues, inspect action logs, or query any GitHub data. Focuses on information retrieval and analysis rather than modifications.
jira
Work with Jira issues using the jira CLI. Use for listing, creating, viewing, editing, deleting, cloning, and linking Jira issues. Supports CRUD operations, custom fields, JQL queries, epics, sprints, and common workflows like finding your assigned issues, filtering by status, and bulk operations.
visualize-parsed-spatial-omics-metadata
Create an interactive HTML viewer to visualize and verify parsed metadata against source documents.
agent-memory
Persistent memory system for AI agents with semantic, episodic, and procedural memory types. Use when users want to (1) remember facts, preferences, or context across sessions, (2) track interaction history and experiences, (3) store reusable workflows or procedures, (4) build personalized agents that learn from conversations, or (5) implement any form of long-term memory for AI applications.
wow-moment-detector
Detects when a Claude Code session reaches a "wow moment" worth sharing with the team. A wow moment occurs during intensive back-and-forth discussions where both user and Claude deeply engage on a topic - repeatedly refining ideas, pushing back, questioning assumptions, and ultimately producing brilliant insights about effective human-AI collaboration. Triggers when the conversation shows signs of deep "cooking" - multiple sustained exchanges on the same topic, productive disagreements, or breakthrough moments emerging from persistent dialogue. This skill should stay alert throughout the session and invoke /show-ropes when a genuinely valuable agentic mindset insight emerges.
Excalidraw Generation
This skill should be used when the user asks to "create excalidraw diagram", "generate excalidraw", "hand-drawn diagram", "sketch diagram", "whiteboard style diagram", or when informal, spatial, annotated diagrams would best convey conceptual relationships. Expert in both presentation design AND artistic Excalidraw JSON creation.
LaTeX Handouts
This skill should be used when the user asks to "create LaTeX handout", "compile handout", "generate presentation handout", "create PDF document from slides", or needs guidance on LaTeX document structure, formatting, embedding images, or creating comprehensive presentation materials.
Presentation Design
This skill should be used when the user asks to "design a presentation", "structure presentation content", "improve presentation flow", "create presentation outline", "make slides more engaging", or needs guidance on storytelling, visual hierarchy, audience engagement, or presentation best practices.
Slide Management
**MANDATORY USE - ALWAYS INVOKE THIS SKILL** when the user mentions ANY of these actions: "delete slide", "remove slide", "add slide", "insert slide", "create new slide", "new slide between", "get rid of slide", "fix gaps", "renumber slides", OR when they confirm/answer questions about slide deletion/addition (e.g., "yes delete slide 6", "add a slide after 5"). **CRITICAL - NEVER manually edit slides.md or rename slide files yourself** - this skill uses the manage-slides.py script which handles automatic renumbering, gap detection/fixing, git-aware operations, and slide number vs position conversion. **AUTO-TRIGGER IMMEDIATELY** when user wants to modify slide count, order, or numbering. This skill is the ONLY correct way to add/delete slides.
Slide Quality Assessment
This skill should be used when the user asks to "analyze slide quality", "review slide", "check slide design", "optimize slide", "improve slide content", "assess slide clarity", or needs evidence-based quality evaluation using the 12-point checklist for presentation slides.
Slidev Mastery
This skill should be used when the user asks to "create slides with Slidev", "use Slidev syntax", "add Slidev components", "configure Slidev theme", "export Slidev presentation", or mentions Slidev-specific features like layouts, animations, Monaco editor, or code highlighting. Provides comprehensive Slidev expertise for markdown-based presentations.
Visual Design
This skill should be used when the user asks to "create mermaid diagram", "add visuals to slides", "suggest stock photos", "generate AI image prompts", "create diagram for presentation", "design visual theme", or needs guidance on diagram types, color palettes, image selection, or AI image generation prompting for presentations.
AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
backend-dev-guidelines
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equilateral-agents-refactored
Multi-agent orchestration system sử dụng Claude subagents thực tế từ thư mục agents/ cho security reviews, code quality analysis, deployment validation, infrastructure checks. Auto-activates với orchestrator-worker pattern và extended thinking mode.
error-tracking
Add Sentry v8 error tracking and performance monitoring to your project services. Use this skill when adding error handling, creating new controllers, instrumenting cron jobs, or tracking database performance. ALL ERRORS MUST BE CAPTURED TO SENTRY - no exceptions.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
prompt-engineering-patterns
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
extract-learnings
Use after completing a session to identify genuine learnings from mistakes, corrections, or rework - focuses only on patterns that were actually wrong, not things that worked correctly the first time
playwright
Complete browser automation with Playwright. Auto-detects dev servers, writes clean test scripts to /tmp. Test pages, fill forms, take screenshots, check responsive design, validate UX, test login flows, check links, automate any browser task. Use when user wants to test websites, automate browser interactions, validate web functionality, or perform any browser-based testing.
receiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code - write the test first, watch it fail, write minimal code to pass; ensures tests actually verify behavior by requiring failure first
using-git-worktree
Create isolated git worktrees at bare repo root level
writing-plans
Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context. Use this when design is complete and you need detailed implementation tasks for engineers with zero codebase context
semantic-search
Automatically search indexed code when user asks questions about the codebase. Detects code-related queries and uses semantic memory to find relevant files. Activates for questions like "how does X work", "where is Y", "show me Z implementation".
setup-assistant
Detect when user is working in an un-indexed project and proactively suggest enabling semantic memory. Activates on first code question in new projects to guide users through initial setup.
cursor-explorer-mcp
Use for token-expensive operations requiring multi-file analysis - codebase exploration, broad searches, architecture understanding, tracing flows, finding implementations across files. Uses MCP cursor-agent server (company pays) with clean async interface. Do NOT use for single-file analysis, explaining code already in immediate context, or pure reasoning tasks.
yanex-experiment-tracking
Use this skill when running, managing, or analyzing yanex experiments. Includes executing experiments via CLI, parameter sweeps, dependencies, querying experiment history, comparing results, and maintaining experiment logs. Invoke when users mention yanex, experiments, training runs, parameter sweeps, or need to track ML experiments.
mcp2cli
Convert MCP servers into standalone Bash-invokable scripts. Use when user wants to make an MCP server usable as bash commands, convert MCP to CLI, or wrap MCP tools for agent use.
cip-document-generation
Generate professional contract analysis reports (.docx) for the Contract Intelligence Platform. Three report types: (1) Contract Risk Review - initial analysis with risk ratings, heat map, clause analysis, negotiation playbook; (2) Suggested Redlines and Revisions - proposed changes with before/after risk matrix, implementation notes, negotiation guide; (3) Version Comparison - compare two contract versions with delta analysis and grouped comparison tables. Use when user requests contract risk analysis, redline suggestions, or version comparison reports.
auditing-compliance
Audits codebases against IT security, privacy, and compliance frameworks including LAUSD (NIST CSF 2.0), NJ K-12 (NJDPL), and AICPA SOC 2. Use when reviewing code, infrastructure (IaC), CI/CD pipelines, or schemas for school district compliance, data privacy, AI safety, or SOC 2 Trust Services Criteria. Supports individual or combined framework audits.
business-fact-checker
Specialized verification of business claims, financial metrics, valuations, and market data. Use proactively for due diligence, pitch deck reviews, and financial news analysis.
business-plan-advisor
Expert business planning consultant for creating comprehensive, investor-ready business plans from scratch or refining existing plans. Use when users request help creating a new business plan, updating/reviewing an existing business plan, need guidance on specific business plan sections, or require financial projection assistance. Applies to startups and established businesses across all industries seeking funding or strategic planning.
frontend-designer
Convert UI/UX designs (mockups, wireframes, screenshots) into technical specs, component architectures, and implementation guides. Use for design analysis, design system extraction, component specifications, and frontend documentation.
graphic-design
Adaptive design engine for UI/UX, Print, and Branding. Use for critiques, creating visual assets, accessibility checks (WCAG), and technical production specs.
new-venture-analyst
Generates comprehensive venture viability reports, financial models, and GTM strategy critiques for new business ideas or products. Use when a user needs to vet an idea, analyze a business plan, or stress-test strategic assumptions.
pitch-deck-creator-edtech
Use when user needs to create a pitch deck for EdTech startups - transforms content into visually compelling, narrative-driven presentations through collaborative refinement, wireframing, and hybrid deck generation (PowerPoint + Google Slides)
viral-reel-generator
Expert scriptwriter for high-retention short-form video (TikTok, Instagram Reels, YouTube Shorts). Generates optimized scripts with engineered hooks, strict anti-AI-slop writing rules, and personality-driven delivery.
imsa
Query the IMSA DuckDB dataset (output/imsa.duckdb). Includes schema guidance for seasons and laps plus formatting macros. Use for analytics, session lookups, and lap-level queries.
IMSA Analyst
use to query historical data on the IMSA Weathertech seasons
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