mouadja02
UserA curated collection of 149 agent skills for Claude Code and Cursor — engineering craft, AI agents, prompt engineering, design, growth marketing, C-suite advisors, DevOps, and more.
Categories
Indexed Skills (48)
agent-governance
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
bdi-mental-states
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.
bmad-agent-tech-writer
Technical documentation specialist and knowledge curator
bmad-document-project
Document brownfield projects for AI context. Use when the user says "document this project" or "generate project docs"
bmad-prfaq
Working Backwards PRFAQ challenge to forge product concepts. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'.
bmad-product-brief
Create or update product briefs through guided or autonomous discovery
bmad-domain-research
Conduct domain and industry research. Use when the user says wants to do domain research for a topic or industry
bmad-market-research
Conduct market research on competition and customers. Use when the user says they need market research
bmad-technical-research
Conduct technical research on technologies and architecture. Use when the user says they would like to do or produce a technical research report
bmad-agent-pm
Product manager for PRD creation and requirements discovery
bmad-agent-ux-designer
UX designer and UI specialist. Use when the user asks to talk to Sally or requests the UX designer.
bmad-create-prd
Create a PRD from scratch. Use when the user says "lets create a product requirements document" or "I want to create a new PRD"
bmad-create-ux-design
Plan UX patterns and design specifications. Use when the user says "lets create UX design" or "create UX specifications" or "help me plan the UX"
bmad-edit-prd
Edit an existing PRD. Use when the user says "edit this PRD".
bmad-validate-prd
Validate a PRD against standards. Use when the user says "validate this PRD" or "run PRD validation"
bmad-agent-architect
System architect and technical design leader. Use when the user asks to talk to Winston or requests the architect.
bmad-check-implementation-readiness
Validate PRD, UX, Architecture and Epics specs are complete. Use when the user says "check implementation readiness".
bmad-create-architecture
Create architecture solution design decisions for AI agent consistency. Use when the user says "lets create architecture" or "create technical architecture" or "create a solution design"
bmad-create-epics-and-stories
Break requirements into epics and user stories. Use when the user says "create the epics and stories list"
bmad-generate-project-context
Create project-context.md with AI rules. Use when the user says "generate project context" or "create project context"
bmad-agent-dev
Senior software engineer for story execution and code implementation
bmad-checkpoint-preview
LLM-assisted human-in-the-loop review. Make sense of a change, focus attention where it matters, test. Use when the user says "checkpoint", "human review", or "walk me through this change".
bmad-code-review
Review code changes adversarially using parallel review layers (Blind Hunter, Edge Case Hunter, Acceptance Auditor) with structured triage into actionable categories. Use when the user says "run code review" or "review this code"
bmad-correct-course
Manage significant changes during sprint execution. Use when the user says "correct course" or "propose sprint change"
bmad-create-story
Creates a dedicated story file with all the context the agent will need to implement it later. Use when the user says "create the next story" or "create story [story identifier]"
bmad-dev-story
Execute story implementation following a context filled story spec file. Use when the user says "dev this story [story file]" or "implement the next story in the sprint plan"
bmad-qa-generate-e2e-tests
Generate end to end automated tests for existing features. Use when the user says "create qa automated tests for [feature]"
bmad-quick-dev
Implements any user intent, requirement, story, bug fix or change request by producing clean working code artifacts that follow the project's existing architecture, patterns and conventions. Use when the user wants to build, fix, tweak, refactor, add or modify any code, component or feature.
bmad-retrospective
Post-epic review to extract lessons and assess success. Use when the user says "run a retrospective" or "lets retro the epic [epic]"
bmad-sprint-planning
Generate sprint status tracking from epics. Use when the user says "run sprint planning" or "generate sprint plan"
bmad-sprint-status
Summarize sprint status and surface risks. Use when the user says "check sprint status" or "show sprint status"
create-agent-tui
Agent TUI scaffolding in TypeScript — @openrouter/agent, interactive terminal UI
create-headless-agent
Scaffolds a headless agent in TypeScript using @openrouter/agent and Bun — for CLI tools, API servers, queue workers, and pipelines. No terminal UI
latent-briefing
This skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "orchestrator worker context", "latent briefing", "reduce worker tokens", "cross-agent memory without summarization", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.
multi-agent-patterns
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
structured-autonomy-generate
Structured Autonomy Implementation Generator Prompt
tool-design
This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.
bmad-agent-analyst
Strategic business analyst and requirements expert
structured-autonomy-plan
Structured Autonomy Planning Prompt
ai-ready
AI-ready repo — AGENTS.md, copilot-instructions.md, CI workflows, issue templates
agent-supply-chain
Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin"
agentic-browser-automation
Build AI-powered browser agents that autonomously navigate, scrape, fill forms, and extract data from dynamic websites using LLM reasoning + Playwright
agentic-rag-architect
Triggers on keywords RAG, GraphRAG, vector database, agentic RAG, semantic search
ai-agent-builder
Also use for agentic data engineering pipelines, code generation agents, agent-powered CLI tools, MCP server development, or any system where an AI model calls tools, makes decisions, or loops
ai-team-orchestration
Multi-agent dev team — parallel AI agents, roles, coordination, project kickoff
create-agentsmd
Prompt for generating an AGENTS.md file for a repository
durable-agent-workflows
Design and build durable, fault-tolerant AI agent workflows using Temporal, Inngest, or event-driven patterns
structured-autonomy-implement
Structured Autonomy Implementation Prompt
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.