cursor-mcp-auth
Ensures Cursor Atlassian MCP (plugin-atlassian-atlassian → mcp.atlassian.com) is authenticated for redhat.atlassian.net via OAuth. Use for "authenticate Jira",…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
Agents & models
25,653 results
rhdh-release-capacity-plan
Forecasts whether a named RHDH scrum team can take the rhdh-X.Y-candidate Features for a release from Jira RHIDP, RHDHPLAN, RHDHBUGS, and RHDHSUPP: three-week…
model-routing
Choose the best Renoise image, video, or audio model and write prompts for it. Always use before any Renoise generation estimate or task, and when the user…
product-manager
A full PM pipeline where an agent team collaborates to generate roadmaps, PRDs, user stories, sprint plans, and retrospectives in one go. Use this skill for…
b0
Delegate tasks to AI agents via Box0. Use when the user asks to review code, check security, run tests, compare tools, get multiple perspectives, research a…
ralph
Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format.…
deepseek
Call the DeepSeek API (deepseek-flash, deepseek-v4-pro, deepseek-v4-flash, and deepseek-v4-flash-vision-exp) through RunAPI using OpenAI-compatible Chat…
glm
Call the GLM API (GLM 5.3 and earlier GLM 5 and 4 series) through RunAPI using OpenAI-compatible Chat Completions. Use for GLM text chat, streaming, or an…
find-skills
Helps users discover agent skills from the open skills ecosystem. Use when users ask "how do I do X", "find a skill for X", "is there a skill that can...", or…
improve-coverage
Improve test coverage by identifying gaps and generating meaningful tests
llm-app-patterns
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI…
agent-deepweb
Credential-gated HTTP requests via named profiles; stored secret values are never visible to the caller. Use when a request needs a Bearer token, basic auth,…
agent-statsig
Manage Statsig feature gates, dynamic configs, experiments, segments, and tags. Use when the user asks about feature flags, A/B tests, rollouts, targeting…
common-rules-for-agent-instructions
Common principles for writing documents that AI reads and follows, such as Agent Skills, CLAUDE.md, and AGENTS.md. They define the reader's assumptions, what not to write, how to edit, and whether to accept review feedback. Referenced by both kuden:agent-skill and kuden:persistent-instructions.…
persistent-instructions
Guidelines for writing behavioral rule documents that AI reads every time before working, such as CLAUDE.md and AGENTS.md. They define what to write, what not to write, the style of constraints, and where to place them. Read these when creating a rule document, editing one, incorporating rules from elsewhere, or deciding whether to accept review feedback.
user-decision
Guidelines for when AI obtains a user's judgment. They define what to explain before asking a question, what to ask and how, how to handle the absence of an answer, and how to handle cases where there was an error in reporting the basis on which the user made a judgment. When asking the user about something that cannot be decided, when writing a plan, when proposing a new direction as a result of investigation, when trying to proceed while a question remains unanswered, when noticing an error in a previous report...
principle-never-block-on-the-human
Apply when tempted to ask 'should I do X?' on reversible work. Proceed, present the result, let the human course-correct after the fact; reserve confirmation…
aws-mcp-setup
Configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP…
find-complementary-founders
Use when an owner asks to find a cofounder or project partner. Assess only that agent's own owner and rank only approved profiles other agents posted for their…
llm-council
Run Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer.
skyvern-browser-automation
AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows.
ml-engineer
Implement ML pipelines, model serving, and feature engineering. Handles TensorFlow/PyTorch deployment, A/B testing, and monitoring. Use PROACTIVELY for ML…
prompt-engineer
Optimizes prompts for LLMs and AI systems. Use when building AI features, improving agent performance, or crafting system prompts. Expert in prompt patterns…
alignment-interview
Conducts a rigorous, adaptive interview to establish shared understanding before action. Uses an intake → research → ask loop, dependency-aware question…