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Found 6,499 Skills
Use when installing, configuring, or troubleshooting the official Neo4j MCP server (neo4j/mcp): connecting Claude Code, Claude Desktop, Cursor, Windsurf, VS Code, Kiro, or other MCP-compatible editors to a Neo4j database via stdio or HTTP transport. Covers the four MCP tools (get-schema, read-cypher, write-cypher, list-gds-procedures), read-only mode, and multi-database configuration. Does NOT cover writing Cypher queries via those tools — use neo4j-cypher-skill. Does NOT cover agent memory — use neo4j-agent-memory-skill. Does NOT cover Aura instance provisioning — use neo4j-aura-provisioning-skill.
Generate a cost report showing token usage and USD costs by agent and model
Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject recommendation. Use after Level 1 structural validation passes, when an ARA needs an objective epistemic critique before publication or release.
Spawn and manage parallel AI coding agents via tmux. Use when you need to orchestrate workers, delegate sub-tasks, run multi-agent improvement loops, or manage agent lifecycles with orca CLI commands like spawn, list, kill, steer, logs, and daemon.
Use Yahoo Finance CLI for stock and ETF quotes, charts, fundamentals, options chains, symbol search, trending tickers, local watchlists, portfolio lots, and market digests. Use when the user asks about a ticker, portfolio performance, option filtering, market movers, or wants Yahoo Finance data in a terminal or agent-friendly format.
Novel Logic/Plot Review, applicable to user requests such as "Help me check if there are bugs in my novel", "Check if there are timeline contradictions", "Check if characters are OOC", "Find plot conflicts between different parts", "Sort out whether foreshadowings are resolved", "Check the rationality of novel plots", "Check if there are plot loopholes", "Character behaviors are inconsistent with their personalities", "Check if the timeline is correct", "Find contradictions in the novel", "Help me sort out all foreshadowings", "Novel plot bug check", "Logical loophole troubleshooting", etc. It detects issues such as timeline conflicts, logical loopholes, character OOC, and missing foreshadowings. **Performs word count checks to ensure chapter word counts meet standards**, **generates a detailed issue list and automatically fixes all issues, with the fixed results directly modifying the chapters/ directory and automatically backing up the original files to .sumeru/write/original/ before modification**, **uses sub-Agents for parallel processing during batch review, with each Agent responsible for a maximum of 3 chapters**
Creates or audits a Claude Code subagent file. Use when user says 'create an agent', 'build a subagent', 'review this agent', 'audit our agents', 'add a code-reviewer agent', or 'our agents are too broad'. Do NOT use for skills (use create-or-audit-skill), hooks (use create-or-audit-hook), or CLAUDE.md files (use create-or-audit-claude-md).
Use when the user wants to author, refine, or audit a Product Requirements Document for AI coding agents. Walks through an 8-phase pipeline (Socratic discovery → PRD draft → acceptance criteria → adversarial review → task decomposition → AI-readiness gate → test generation → handoff). Triggers on "write a PRD", "spec this feature", "draft requirements", "prepare X for Claude/Cursor/Copilot/Windsurf/Aider to build", "audit my PRD", "is this PRD AI-ready", "score this spec".
Generate deep research reports on prediction market events using the Octagon Prediction Markets Agent. Combines real-time Kalshi market data with AI-driven analysis to surface price drivers, compare market vs. model probabilities, and identify potential mispricings across 120+ active markets.
Extract a validated learning from the current session, store it in the central agent learnings file, and sync the resulting Learnings section into the agent definitions used by the supported CLIs. User-only maintenance workflow for durable agent guidance.
View spending policy on a Circle agent wallet — per-transaction, daily, weekly, and monthly USDC caps via the `circle` CLI. Use when the user wants to inspect current limits. Setting or resetting limits requires OTP confirmation in an interactive terminal session — the agent hands the user a verbatim command to run themselves; the OTP must never pass through agent storage. Mainnet-only — testnet chains are rejected. Triggers on: spending limit, spending policy, wallet limit, per-tx cap, daily cap, weekly cap, monthly cap, set spending limit, reset spending limit, wallet rules, spending cap, OTP confirmation.
Fund a Circle agent wallet with USDC via the `circle` CLI. Covers two top-level paths — fiat on-ramp (buy USDC with USD/credit card) and crypto transfer (send existing USDC to the wallet via QR or direct address). Also covers Gateway deposits (eco vs direct sub-paths) for the Nanopayments balance used by paid services. Use when the user wants to add USDC to their agent wallet, top up after a low balance, deposit into Gateway, or pick the right funding method. Triggers on: fund agent wallet, fund Circle wallet, fund USDC, deposit USDC, add USDC, fiat on-ramp, buy USDC, crypto deposit, QR code transfer, Gateway deposit, eco deposit, direct deposit, low balance, top up wallet, withdraw USDC, nanopayments.