Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
create-project-instructions
Create project-context AGENTS.md files using phased discovery, required operational sections, and session-state modeling.
create-checkpoint
Capture the current session state as a checkpoint artifact per spec section 4.4. Use when the user signals session end or explicitly requests a checkpoint. Do not use mid-session or without user approval.
create-agents-md
Create concise, repository-specific AGENTS.md files with operational contract, precedence rules, and drift-control guidance.
monero-wallet
Official KYC-rip Monero Agent Skill. Manage XMR wallets on Mainnet/Stagenet via Ripley Gateway.
null-epoch
Play The Null Epoch, a persistent AI agent MMO. Use when the user wants to connect an agent to Null Epoch, check game state, submit actions, play the game, or interact with the Null Epoch API. Handles authentication, state polling, action submission, and survival strategy for the
claude-agent-sdk-typescript
Expert guidance for building AI agents with the Claude Agent SDK in TypeScript/JavaScript. Use when the user writes TypeScript or JavaScript code with the SDK, imports from "@anthropic-ai/claude-agent-sdk", uses query(), allowedTools, permissionMode, creates custom tools with cre
claude-agent-sdk-python
Expert guidance for building AI agents with the Claude Agent SDK in Python. Use when the user writes Python code with the SDK, imports claude_agent_sdk, uses query(), ClaudeSDKClient, ClaudeAgentOptions, AgentDefinition, creates custom @tool functions, sets up hooks, integrates M
user-research-synthesis
Synthesize user interviews, survey results, feedback, and support tickets into structured insights. Identifies themes, pain points, and opportunities. Generates research reports ready for stakeholders.
technical-pm
Structured technical PM framework for AI product roles. Covers: RLHF, evals, RAG, LLM deployment, system design, API design.
stakeholder-brief
Write exec-ready stakeholder updates, decision documents, and status reports. Adapts tone and detail level for different audiences (exec team, engineering, cross-functional). Structured for fast decision-making.
product-strategy
Structured product strategy framework for AI product roles. Covers: market entry, competitive positioning, build-vs-buy, long-term vision.
product-sense
Structured product sense/design framework for AI product roles. Covers: design a product, improve X, productize a capability.
prioritization-matrix
Score and rank features or initiatives using RICE, ICE, weighted scoring, or custom frameworks. Generates a prioritized backlog with clear rationale. Use for: sprint planning, roadmap decisions, feature trade-offs.
prd-writer
Generate structured Product Requirements Documents (PRDs) from a feature brief, idea, or problem statement. Covers problem definition, user stories, requirements, success metrics, and launch plan. Adapts to AI/ML product contexts.
pm-writing
Rewrite or generate PM documents with extreme clarity. Applies principles of canonical docs, numbered lists over bullets, force-ranked priorities, BLUF structure, and visual-first communication. Transforms vague PM writing into precise, actionable docs.
pm-case-study
Generate end-to-end PM case studies from real AI product launches, pivots, and decisions. Analyzes what happened, why, what the PM likely decided, trade-offs made, and lessons learned.
mock-interviewer
Interactive PM mock interview simulator for AI product roles. Plays the role of interviewer, asks follow-ups, scores answers against hiring rubrics, and provides detailed feedback. Supports all round types: product sense, strategy, analytical, technical, behavioral.
metric-dashboard
Design metric dashboards and KPI tracking plans for products and features. Defines what to measure, how to measure it, alert thresholds, and dashboard layout. Covers product, business, and technical metrics.
launch-checklist
Generate launch readiness checklists for product releases. Covers engineering, QA, design, legal, marketing, support, and rollback planning. Adapts to launch size (feature flag, beta, GA) and AI/ML-specific requirements.
behavioral-pm
Structured behavioral PM framework for AI product roles. Covers: leadership stories, conflict resolution, stakeholder management.
analytical-pm
Structured analytical and metrics framework for AI product roles. Covers: metrics, goal-setting, root-cause analysis, trade-offs, A/B tests.
ai-product-teardown
Structured teardown of AI products (ChatGPT, Claude, Gemini, Perplexity, Copilot, etc.). Analyzes product decisions, UX patterns, technical architecture, business model, and competitive positioning.