Types
Type checking and type generation
acsets-algebraic-databases
by plurigrid
"ACSets (Attributed C-Sets): Algebraic databases with Specter-style bidirectional navigation. Category-theoretic formalism for relational databases."
e2e-testing-patterns
by HermeticOrmus
Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.
hybrid-cloud-networking
by HermeticOrmus
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.
design-movements
by HermeticOrmus
Historical design movements and their enduring influence. Understand Bauhaus, Swiss International Style, Art Deco, Memphis, and more. Use when choosing an aesthetic direction, understanding cultural context, or predicting trend cycles.
error-handling-patterns
by HermeticOrmus
Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
terraform-module-library
by HermeticOrmus
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
content-publisher
by oyi77
Automates drafting and publishing articles to Substack and Medium with Apify and Notion integration
google-flow
by oyi77
Use when navigating and operating Google Flow (labs.google/fx/tools/flow) - an AI video generation tool. Helps with project management, scenebuilder interface, prompt entry, preset selection, model configuration, and video generation workflow.
skill-performance-monitor
by oyi77
Monitor and analyze skill effectiveness in real-time. Track usage, success rates, response quality, and user satisfaction for continuous optimization.
humanizer
by oyi77
Transform AI-generated content into natural, human-sounding writing with proper tone and style
self-improving-agent
by oyi77
Agent that learns from feedback and improves its own performance over time
joko-proactive-agent
by oyi77
Proactive agent that detects signals and suggests actions with Slack notifications
bug-hunters
by DeevsDeevs
"Run systematic bug hunting with spec reconstruction, adversarial validation, and confidence scoring. Use when you want to hunt bugs (not fix them), validate correctness, or run logic-first/code-first investigations. Triggers: bug hunt, spec reconstruction, logic-first, code-first, orchestrator, logic-hunter, cpp-hunter, python-hunter."
defense-in-depth
by NickCrew
Use when invalid data causes failures deep in execution, requiring validation at multiple system layers - validates at every layer data passes through to make bugs structurally impossible
openapi-specification
by NickCrew
OpenAPI 3.x specification design, schema patterns, and validation for REST API contracts. Use when creating or maintaining API specifications, generating documentation, or validating API contracts.
dotnet-inspect
by richlander
Query .NET APIs across NuGet packages, platform libraries, and local files. Search for types, list API surfaces, compare and diff versions, find extension methods and implementors. Use whenever you need to answer questions about .NET library contents.
constructive-dissent
by NickCrew
Structured disagreement protocols to strengthen proposals through systematic challenge and alternative generation.
agent
by treasure-data
Build LLM agents using tdx agent pull/push with YAML/Markdown config. Covers agent.yml structure, tools (knowledge_base, agent, web_search, image_gen), @ref syntax, and knowledge bases. Use for TD AI agent development workflow.
data-dictionary
by treasure-data
Automate update and maintenance of data dictionaries in Treasure Data - generates 80-90% of column descriptions automatically, allowing users to review results, make changes, and fill in gaps. Orchestrates schema extraction, AI-powered description generation, human review, and write-back as single workflow.
rt-personalization-validation
by treasure-data
Validates RT Personalization Entity payloads before creation to prevent common API errors. MUST be invoked proactively during rt-setup-personalization workflow at Step 9c before making the entity creation API call. Also use when encountering "Attribute payload can't be blank" errors or when reviewing personalization entity JSON.
parent-segment
by treasure-data
Manages CDP parent segments using tdx ps commands with YAML configs. Covers master tables, attributes, behaviors, tdx ps validate for join validation, tdx ps preview for data preview, and schedule configuration (daily/hourly/cron). Use when creating customer master tables, validating join match rates, or troubleshooting parent segment workflows.
journey
by treasure-data
Creates CDP journey definitions in YAML using tdx journey commands. Covers journey stages, steps (wait, activation, decision_point, ab_test, merge, jump, end), entry/exit criteria, goals, embedded segments, and versioning. Use when building customer journey orchestration workflows or managing journey YAML files.
rt-config-attributes
by treasure-data
Configure RT 2.0 attributes - single, list, counter, and batch attributes for real-time profile enrichment
segment
by treasure-data
Manages CDP child segments using tdx sg commands with YAML rule configs. Covers filtering with operators (Equal, In, Greater, TimeWithinPast, Contain), folder organization, and activations for Salesforce/Google Ads exports. Use when creating audience segments, validating with tdx sg push --dry-run, or listing fields with tdx sg fields.