Agents
AI agents and automation
task-orchestration
by mgd34msu
"Load PROACTIVELY when decomposing a user request into parallel agent work. Use when user says \"build this\", \"implement this feature\", or any request requiring multiple agents working concurrently. Guides task decomposition into parallelizable units, agent assignment with skill matching, dependency graph construction, WRFC loop coordination across up to 6 concurrent agent chains, and result aggregation."
biomni
by ovachiever
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
quinte
by eric-stone-plus
"QUINTE — Five-agent structured debate architecture. Hermes+cc+cw+Reasonix+oh-my-pi, all DeepSeek v4-pro max reasoning. R1 independent analysis → R2 cross-review → R3 final verdict."
joko-proactive-agent
by oyi77
Proactive agent that detects signals and suggests actions with Slack notifications
adk-skill
by miticojo
"Build single-agent and multi-agent systems using Google's Agent Development Kit (ADK) in Python, Java, Go, or TypeScript. Use when user says 'build an agent with ADK', 'create a Gemini agent', 'multi-agent pipeline', 'agent orchestration with Google', or mentions ADK, google-adk, google agent development kit, sequential/parallel/loop agents, agent tools, callbacks, state management, agent testing, or agent deployment with Gemini. Do NOT use for LangChain, CrewAI, AutoGen, or non-ADK agent frameworks."
CLOSER
by Prospeda
I'm Closer. I close the deals. What are we trying to win?
voltagent-best-practices
by VoltAgent
VoltAgent architectural patterns and conventions. Covers agents vs workflows, project layout, memory, servers, and observability.
voltagent-core-reference
by VoltAgent
Reference for the VoltAgent class: constructor options, lifecycle methods, and runtime behavior.
spawn-implementation-agents
by eveld
Guide for efficient agent orchestration during implementation to conserve main agent context
linear-awareness
by eveld
ALWAYS check before working with Linear issues. Guide for Linear-related skills for ticket management and debugging workflows.
agent-awareness
by eveld
ALWAYS check this skill before using grep, glob, Task tool, or doing any codebase exploration. Guides you to use specialized agents that are more efficient than basic tools.
verify-implementation
by eveld
Use after implementing changes to run verification commands and ensure tests pass, code builds, and functionality works.
pydantic-ai-agents
by Fuenfgeld
"Build and debug Pydantic AI agents using best practices for dependencies, dynamic system prompts, tools, and structured output validation. Use when the user wants to: (1) Create a new Pydantic AI agent, (2) Debug or fix an existing agent, (3) Add features like tools, validators, or dynamic prompts, (4) Integrate OpenRouter for multi-model access, (5) Add Logfire for debugging/observability, (6) Structure agent architecture with dependency injection."
follow-test-patterns
by eveld
Use when writing tests to ensure they follow project conventions. References patterns from thoughts/notes/testing.md.
pydantic-evals
by Fuenfgeld
"Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user wants to: (1) Create evaluation datasets with test cases for AI agents, (2) Define evaluators (deterministic, LLM-as-Judge, custom, or span-based), (3) Run evaluations and generate reports, (4) Compare model performance across experiments, (5) Integrate evaluations with Pydantic AI agents, (6) Set up observability with Logfire, (7) Generate test datasets using LLMs, (8) Implement regression testing for AI systems."
langchain
by G1Joshi
LangChain LLM application framework with chains and agents. Use for LLM orchestration.
before-code-analysis
by eveld
Use BEFORE reading multiple files to understand code. Reminds you to use codebase-analyzer agent instead of manual file reading.
Dispatching Parallel Agents
by obra
Use multiple Claude agents to investigate and fix independent problems concurrently
Verification Before Completion
by obra
Run verification commands and confirm output before claiming success
skill-forge
by WilliamSaysX
Automated skill creation workshop with intelligent source detection, smart path management, and end-to-end workflow automation. This skill should be used when users want to create a new skill or convert external resources (GitHub repositories, online documentation, or local directories) into a skill. Automatically fetches, organizes, and packages skills with proactive cleanup management.
agent-browser
by kcchien
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
bl-init
by jpoutrin
Initialize git-branchless in the current repository from the current branch
swift-async-algorithms
by nonameplum
Algorithms for working with AsyncSequence: combining, throttling, debouncing, chunking, and more
copy-agent
by jpoutrin
Copy an agent from Product Forge to user or project level