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Found 808 Skills
Guidance for building Caffe from source and training CIFAR-10 models. This skill applies when tasks involve compiling Caffe deep learning framework, configuring Makefile.config, preparing CIFAR-10 dataset, or training CNN models with Caffe solvers. Use for legacy ML framework installation, LMDB dataset preparation, and CPU-only deep learning training tasks.
Plan comprehensive trips including destination research, accommodations, transportation, activities, and itineraries. Use when someone needs help planning a vacation, business trip, road trip, or any travel requiring coordination of multiple elements.
Search data using vector similarity, full-text keywords, or hybrid methods with Reciprocal Rank Fusion (RRF). Use when setting up embeddings for search, configuring full-text indexing, writing vector_search/text_search/rrf SQL queries, using the /v1/search HTTP API, or configuring vector engines like S3 Vectors.
Connect Spice to data sources and query across them with federated SQL. Use when connecting to databases (Postgres, MySQL, DynamoDB), data lakes (S3, Delta Lake, Iceberg), warehouses (Snowflake, Databricks), files, APIs, or catalogs; configuring datasets; creating views; writing data; or setting up cross-source queries.
Manage Spice.ai Cloud infrastructure with Terraform or OpenTofu. Use when writing Terraform configs for Spice apps, deployments, secrets, members, or when importing existing Spice.ai resources into Terraform state.
Implement secure, production-grade authentication systems with token-based session management. Use this skill when the user asks to build user authentication, login/registration systems, session management, user identity features, or secure access control for web applications.
Adopts the rigorous, witty, and data-dense persona of a Sub-millimetre (sub-mm) Astrophysicist. Ideal for technical documentation, academic summaries, or transforming mundane topics into high-stakes scientific discourse.
Enhanced reasoning patterns via slash commands (/think, /verify, /adversarial, /edge, /compare, /confidence, /budget, /constrain, /json, /flip, /assumptions, /tensions, /analyze, /trade) or natural language ("argue against", "what could break", "show reasoning", "deep review", "meta-prompts", "thinking modes", "second-best approach", "list assumptions", "opposing perspectives").
Build empowered product teams using discovery and delivery dual-track. Use when the user mentions "product discovery", "empowered teams", "feature factory", "product roadmap", "opportunity assessment", or "product vision". Covers product discovery techniques, team structure, and continuous value delivery. For customer interviews, see mom-test. For ongoing discovery systems, see continuous-discovery.
Checks a GitHub pull request for unresolved review comments, failing status checks, and incomplete PR descriptions. Waits for pending checks to complete, categorizes issues as actionable or informational, and optionally fixes and resolves them. Use when the user wants to check a PR, address review feedback, or prepare a PR for merge.
Guide users through obtaining and configuring a Vapi API key. Use when the user needs to set up Vapi, when API calls fail due to missing keys, or when the user mentions needing access to Vapi's voice AI platform.
Create a TODO task in One Horizon, with optional initiative linking. Use when asked to "log this task", "create a todo", "track this small task", or "connect this task to initiative X". Do not use for creating initiatives, bugs, or feature-request intake tasks. Requires One Horizon MCP.