tickadoo — Experiences & Events
Discover and book theatre, shows, events and experiences in 700+ cities worldwide.
TigerStyle: Zig Coding Guidelines
Distilled from TigerBeetle's [TIGER_STYLE.md](https://github.com/tigerbeetle/tigerbeetle/blob/main/docs/TIGER_STYLE.md). Design goal priority: **Safety > Performance > Developer Experience**.
MLOps Automation
Guide to refine MLOps projects with task automation, containerization, CI/CD pipelines, and robust experiment tracking.
phoenix-cli
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
agentsociety-analysis
Analyze experiment data and generate analysis reports.
accessibility-compliance
Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.
bb-methodology
Use at the START of any bug bounty hunting session, when switching targets, or when feeling lost about what to do next. Master orchestrator that combines the 5-phase non-linear hunting workflow with the critical thinking framework (developer psychology, anomaly detection, What-If experiments). Routes to all other skills based on current hunting phase. Also use when asking "what should I do next" or "where am I in the process."
Mcp
Build travel itineraries with Peek's 300k+ experiences. Search, details, and availability.
TeamMemory
Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.
content-experimentation-best-practices
Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
auto-experiment
Launch an autonomous THINKâEXECUTEâREFLECT experiment loop on a GPU project
Agent Analytics
Analytics your AI agent can actually use. Track, experiment, and optimize via MCP.
experience-cleaning-skill
Clean OCR and manually entered interview experiences before storage so the RAG corpus has less noise, fewer duplicates, and more consistent company, department, and question fields.
Statsig Mcp Server
MCP server for Statsig API - interact with Statsig's feature flags, experiments, and analytics
agents
Build voice AI agents with ElevenLabs. Use when creating voice assistants, customer service bots, interactive voice characters, or any real-time voice conversation experience.
agentic-data-science-competition
AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard positions. Use when: working on any Kaggle competition, analyzing submission failures, setting up automated pipelines, or replicating top notebook solutions.
display
Expose the organized knowledge base through a readable frontend experience. Use when a user wants to browse the knowledge base visually as a lightweight site instead of reading raw Markdown files directly. Supports building viewers for specific data paths (e.g., individual books) or the entire knowledge base.
ab-test-generator
Generate A/B test variants for affiliate content. Triggers on: "create A/B test", "test my headline", "optimize my CTA", "generate variants", "split test ideas", "improve click-through rate", "test my landing page copy", "headline alternatives", "CTA variations", "which version is better", "optimize conversions", "test my email subject line", "compare approaches".
Mcp
Turn any LLM into your lab assistant: search samples, track experiments, analyze data with AI.
3d-modeling
Expert 3D modeling specialist with deep knowledge of topology, UV mapping, game-ready and film-ready pipelines, DCC tool workflows (Blender, Maya, ZBrush, 3ds Max, Houdini), retopology, LOD systems, and export pipelines. This skill represents years of production experience distilled into actionable guidance. Use when "3d model, 3d modeling, mesh topology, uv unwrap, uv mapping, retopology, retopo, low poly, high poly, subdivision, subdiv, edge flow, edge loops, polygon modeling, box modeling, hard surface, organic modeling, sculpting, zbrush, blender modeling, maya modeling, 3ds max, LOD, level of detail, game ready mesh, film ready, baking normals, high to low, fbx export, gltf export, texel density, 3d, modeling, topology, uv, game-dev, vfx, blender, maya, zbrush, retopology, lod, hard-surface, organic, sculpting" mentioned.
Building UI/UX
Use when implementing user interfaces or user experiences - guides through exploration of design variations, frontend setup, iteration, and proper integration
organize-files
Organize the shared notes directory when it becomes hard to navigate. Restructure within research/ and experiments/, deduplicate, update index.md.
agentic-legibility
Score a repository's agentic legibility from repo-visible evidence only. Use when Codex needs to audit how easy a codebase is for coding agents to discover, bootstrap, validate, and navigate, especially for harness-engineering reviews, developer-experience audits, repo cleanup, or before/after comparisons after improving docs, tooling, or architectural constraints.
designing-experiments
Selects the appropriate quasi-experimental method (DiD, ITS, SC) based on data structure and research questions. Use when the user is unsure which method to apply.
autoresearch-create
Set up and run an autonomous experiment loop for any optimization target. Gathers what to optimize, then starts the loop immediately. Use when asked to "run autoresearch", "optimize X in a loop", "set up autoresearch for X", or "start experiments".
adaptyv
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
0-to-1-launch
Launch new products from idea to first customers. Use when launching products, finding early adopters, building launch week playbooks, diagnosing why adoption stalls, or learning that press coverage does not equal growth. Includes the three-layer diagnosis, the 2-week experiment cycle, and the launch that got 50K impressions and 12 signups.
Experiment Journal
Externalize your experimental reasoning. Every ML project is a sequence of hypotheses tested â this skill makes that sequence visible, persistent, and learnable.
DollhouseMCP
OSS to create Personas, Skills, Templates, Agents, and Memories to customize your AI experience.
Mcp
Discover and book 5,000+ curated local experiences across 500 US destinations.
UX Writing
Write clear, concise, user-centered interface copy (UX text/microcopy) for digital products and experiences. This skill provides frameworks, patterns, and best practices for creating text that helps users accomplish their goals.
adapt
Adapt designs to work across different screen sizes, devices, contexts, or platforms. Ensures consistent experience across varied environments.
experiment-execution
Execute AI/ML experiments locally or remotely with environment, runtime, and logging controls. Prefer invoking via research-workflow. TRIGGER when: user asks to run/launch/start/resume/monitor a training job, evaluation, or benchmark, or a plan is ready for execution, or experiment needs rerun/recovery. DO NOT TRIGGER when: research investigation only (use deep-research), planning without execution (use research-plan), or env setup without launch (use project-context).
ab-testing-framework
A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
dx-council-cli
Use when user says 'Ask the DX council' â spawns parallel agents roleplaying CLI design experts for opinionated consultation on developer experience questions.
PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
A/B Test Analysis
Design and analyze A/B tests, calculate statistical significance, and determine sample sizes for conversion optimization and experiment validation
nanoresearch-experiment
Generate a Python code skeleton from an experiment blueprint
formulate-discovery-problem
Formulates problems for execution with ado by creating discoveryspace and operation YAML files. Guides through experiment selection, space creation, validation, operation configuration, and parameterization. Use when the user wants to create discoveryspace or operation YAML files, configure experiments, set up entity spaces, or formulate problems for ado execution.
Autoresearch: Autonomous Experiment Loop
An autonomous optimization loop where Claude edits code, runs a benchmark, measures a metric, and keeps improvements or reverts â repeating forever until stopped. Inspired by [Karpathy's autoresearch](https://github.com/karpathy/autoresearch) and [pi-autoresearch](https://github.com/davebcn87/pi-a
academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
GetExperience
Search and book tours and travel experiences in 40+ countries via MCP.
Neural Memory
Persistent memory for AI agents â stores experiences as interconnected neurons, recalls through spreading activation.
monitor-experiment
Monitor Beaker experiments until completion. Use when the user asks to monitor, check, or track a Beaker experiment.
analyze-experiment
Use when an experiment has completed and results need analysis, interpretation, or presentation.
After-Action Review
Conduct a structured debrief to extract learning from any significant event or experience.
awrshift
Adaptive decision framework â one dynamic flow with user checkpoints at every phase. Guides from problem to solution through structured research, metrics, factcheck, and sandbox testing. Use when you face a non-trivial decision, need to research before building, plan a feature or experiment, evaluate trade-offs, or the user says 'awrshift', 'let's think this through', 'research first', 'experiment', 'investigate', 'what's the best approach', 'compare options'. Also trigger on: 'иÑÑледÑй', 'ÑазбеÑиÑÑ', 'пÑоанализиÑÑй', 'ÑкÑпеÑименÑ', or when starting any new project phase, migration, launch, or architecture decision. Do NOT use for simple tasks with clear instructions â just do those directly.
a* (autostar)
A generalised autonomous optimisation loop â soft RLVR for the masses. The user defines a goal; the system runs structured experiments, evaluates progress across independent tracks, reflects at strategic checkpoints, and learns from every attempt â including learning how to learn better the next
AzureML Project Scaffolding
A battle-tested structure for AI projects that require reproducible experimentation, leveraging AzureML for cloud execution. It ensures reproducibility from day one without sacrificing the path to production â and without breaking the ability to keep experimenting once you're there. Code, environm