database-tools
1.1K
database-development
Database migrations and Drizzle ORM guidelines for the vm0 project
vm0-ai
databases
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architecture-patterns
1.1K
project-principles
Core architectural and code quality principles that guide all development decisions in the vm0 project
vm0-ai
development
cli-tools
1.1K
cli-design
Design patterns and conventions for the vm0 CLI user experience
vm0-ai
tools
project-management
1.1K
shinka-inspect
Load top-performing Shinka programs into agent context using `shinka.utils.load_programs_to_df`, and emit a compact Markdown bundle for iteration planning.
SakanaAI
business
scripting
1.1K
shinka-convert
Convert an existing codebase in the current working directory into a ShinkaEvolve task directory by snapshotting the relevant code, adding evolve blocks, and generating `evaluate.py` plus Shinka runner/config files. Use when the user wants to optimize existing code with Shinka instead of creating a brand-new task from a natural-language description.
SakanaAI
development
scripting
1.1K
shinka-run
Run existing ShinkaEvolve tasks with the `shinka_run` CLI from a task directory (`evaluate.py` + `initial.<ext>`). Use when an agent needs to launch async evolution runs quickly with required `--results_dir`, generation count, and strict namespaced keyword overrides.
SakanaAI
development
scripting
1.1K
shinka-setup
Create ShinkaEvolve task scaffolds from a target directory and task description, producing `evaluate.py` and `initial.<ext>` (multi-language). Use when asked to set up new ShinkaEvolve tasks, evaluation harnesses, or baseline programs for ShinkaEvolve.
SakanaAI
development
knowledge-base
1.1K
skill-creator
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: create a skill, make a skill, build a skill, set up a skill, initialize a skill, scaffold a skill, update or modify an existing skill, validate a skill, learn about skill structure, understand how skills work, or get guidance on skill design patterns.
langchain-ai
documentation
knowledge-base
1.1K
langgraph-docs
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
langchain-ai
documentation
academic
1.1K
web-research
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
langchain-ai
research
academic
1.1K
arxiv-search
Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields
langchain-ai
research
knowledge-base
1.1K
file-organizer
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
langchain-ai
documentation
testing
1.1K
eval-writer
Create new eval suites for the deepagentsjs monorepo. Handles dataset design, test case scaffolding, scoring logic, vitest configuration, and LangSmith integration. Use when the user asks to: (1) create an eval, (2) write an evaluation, (3) add a benchmark, (4) build an eval suite, (5) evaluate agent behaviour, (6) add test cases for a capability, or (7) implement an existing benchmark (e.g. oolong, AgentBench, SWE-bench). Trigger on phrases like 'create eval', 'new eval', 'add eval', 'benchmark', 'evaluate', 'eval suite', 'write evals for'.
langchain-ai
testing-security
mobile
1.1K
simpleaible
Use the SimpleAIBLE MCP server to scan, connect, and interact with Bluetooth devices. This skill provides guidance on the recommended flow (scan -> connect -> services -> read/notify) and handles platform-specific differences like UUIDs on macOS vs MAC addresses on Linux. Use when the user wants to interact with BLE hardware or debug Bluetooth connections.
simpleble
development
knowledge-base
1.1K
cq
Query the knowledge commons before starting ANY task or addressing an error; cq catches blind spots your training data missed, especially stale versions and subtle integration gotchas. Propose discoveries after resolving non-obvious issues. Confirm or flag retrieved guidance before completing work.
mozilla-ai
documentation
knowledge-base
1.1K
cq
Query the knowledge commons before starting ANY task or addressing an error; cq catches blind spots your training data missed, especially stale versions and subtle integration gotchas. Propose discoveries after resolving non-obvious issues. Confirm or flag retrieved guidance before completing work.
mozilla-ai
documentation