Loading...
Loading...
Found 1,660 Skills
Write Foundry-based tests and scripts. Trigger phrases - foundry testing, write test, fuzz test, fork test, invariant test, deploy script, gas benchmark, coverage, or when working in tests/ or scripts/ directories.
Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.
Use when "organizing files", "cleaning up folders", "finding duplicates", "structuring directories", or asking about "Downloads cleanup", "folder structure", "file management"
World-class video directing mastery drawing from cinematic legends like Spielberg, Cameron, Coppola, and Nolan. This skill translates directorial intent into AI video generation, focusing on visual storytelling, emotional pacing, and shot composition. It guides the use of AI tools to orchestrate emotion, not just generate footage. Covers pre-visualization, shot sequencing, and the application of classic techniques—like the Spielberg Face or Cameron Scale—to synthetic media. Emphasizes that in an era of unlimited generative possibility, the director's vision, craft, and understanding of "why" a shot works are more critical than ever.Use when "direct, directing, director, shot, camera angle, camera movement, cinematic, scene, blocking, coverage, composition, visual storytelling, like Spielberg, like Cameron, like Nolan, like Tarantino, like Scorsese, film style, movie style, directing, cinematography, camera, shot-composition, storytelling, film, cinematic, visual-language, blocking, spielberg, cameron, nolan, tarantino, scorsese" mentioned.
Manage git repositories using the worktree pattern for efficient multi-branch development. Use when: (1) Cloning a repository for the first time, (2) Creating a new worktree for a feature branch, (3) Listing existing worktrees, (4) Removing worktrees after work is complete. The worktree pattern clones once and creates lightweight working directories for each branch, avoiding the overhead of multiple full clones.
Creates a new Product Requirements Document (PRD) with auto-numbered filenames in the project's PRD directory. Gathers business context, defines the problem, and produces a structured PRD.
Guides creation of best-practice agent skills following the open format specification. Covers frontmatter, directory structure, progressive disclosure, reference files, rules folders, and validation. Use when creating a new skill, authoring SKILL.md, setting up a rules-based audit skill, structuring a skill bundle, or asking "how to write a skill."
Calculate cryptographic hashes (MD5, SHA1, SHA256, SHA512) for text and files. Compare hashes, verify integrity, and batch process directories.
CLI for Limitless.ai Pendant with lifelog management, FalkorDBLite semantic graph, vector embeddings, and DAG pipelines. Use for personal memory queries, semantic search across lifelogs/chats/persons/topics, entity extraction, and knowledge graph operations. Triggers include "lifelog", "pendant", "limitless", "personal memory", "semantic search", "graph query", "extraction".
Expert guidance for building production-ready FastAPI applications with modular architecture where each business domain is an independent module with own routes, models, schemas, services, cache, and migrations. Uses UV + pyproject.toml for modern Python dependency management, project name subdirectory for clean workspace organization, structlog (JSON+colored logging), pydantic-settings configuration, auto-discovery module loader, async SQLAlchemy with PostgreSQL, per-module Alembic migrations, Redis/memory cache with module-specific namespaces, central httpx client, OpenTelemetry/Prometheus observability, conversation ID tracking (X-Conversation-ID header+cookie), conditional Keycloak/app-based RBAC authentication, DDD/clean code principles, and automation scripts for rapid module development. Use when user requests FastAPI project setup, modular architecture, independent module development, microservice architecture, async database operations, caching strategies, logging patterns, configuration management, authentication systems, observability implementation, or enterprise Python web services. Supports max 3-4 route nesting depth, cache invalidation patterns, inter-module communication via service layer, and comprehensive error handling workflows.
Use when creating or updating CLAUDE.md files for projects or subdirectories - covers top-level vs domain-level organization, capturing architectural intent and contracts, and mandatory freshness dates
Capture explored work as a backlog item for future implementation. Use when you've explored an enhancement, alternative approach, or feature but decided to defer it. Creates comprehensive plan files in backlog/ directory with enough context for a future session to execute efficiently.