Browse Skills

Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.

Safe OpenClaw upgrades with snapshot, pre-flight checks, controlled upgrade steps, post-verification, and emergency rollback. Never lose your working system to a bad update again.

DeFi protocol monitoring with alerts for TVL drops, capital rotation, hacks, bridge surges, unlocks, and revenue. Runs checks on demand or scheduled.

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Comprehensive, research-backed Hinge dating profile optimization. Use when someone wants to improve their Hinge profile, audit an existing profile, write better prompts/captions, select and order photos strategically, or understand why they're not getting quality matches. This is the thorough process (~45 mins) - discovery interview, honest market math, photo strategy, copy creation, settings cleanup, and implementation support. Grounded in peer-reviewed behavioral research, platform data, and signaling theory.

Borrow from Aave via credit delegation. Agent self-funds by borrowing against delegator collateral. Supports borrow, repay, health checks. Works on Aave V2/V3.

Interactive system flow tracing across CODE, API, AUTH, DATA, NETWORK layers with SQLite persistence and Mermaid export. Use for security audits, compliance documentation, flow tracing, feature ideation, brainstorming, debugging, architecture reviews, or incident post-mortems. Triggers on audit, trace flow, document flow, security review, debug flow, brainstorm, architecture review, post-mortem, incident review.

Detect and fix AI-generated writing patterns (slop). Comprehensive detection with 45+ patterns, tiered severity scoring, and editor mode.

Prevent OpenClaw config changes from crashing the gateway. Auto-backup, schema validation, critical field checks, and auto-rollback. Use before any config.apply, config.patch, or openclaw.json edit.

Autonomous quality engineering swarm that forges production-ready code through continuous behavioral verification, exhaustive E2E testing, and self-healing fix loops. Combines DDD+ADR+TDD methodology with BDD/Gherkin specifications, 7 quality gates, defect prediction, chaos testing, and cross-context dependency awareness. Architecture-agnostic - works with monoliths, microservices, modular monoliths, and any bounded-context topology.

Opinionated guide for building dApps on Arbitrum using Stylus (Rust) and/or Solidity. Covers local devnode setup, contract development, testing, deployment, and React frontend integration with viem. Use when starting a new Arbitrum project, writing Stylus or Solidity contracts, deploying to Arbitrum, or building a frontend that interacts with Arbitrum contracts.

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Comprehensive skill for Product Managers to create organize and manage Product Teams, Strategy, PRDs, release plans, user stories, and standalone issues with high-quality acceptance criteria. Supports both full documentation workflows (PRD → Plan → Stories) and quick issue creation (standalone stories, tasks, bugs). All documentation follows design-driven development principles with functional, testable acceptance criteria based on visual designs and user flows.

Generate PlantUML diagrams from text descriptions and convert them to PNG/SVG images. Use when asked to "create a diagram", "generate PlantUML", "convert puml to image", "extract diagrams from markdown", or "prepare markdown for Confluence". Supports all PlantUML diagram types including UML (sequence, class, activity, state, component, deployment, use case, object, timing) and non-UML (ER diagrams, Gantt charts, JSON/YAML visualization, mindmaps, WBS, network diagrams, wireframes, and more).

Comprehensive guide for designing, building, testing, and distributing Claude skills. Use when user wants to "create a skill", "build a skill", "write a SKILL.md", "design a workflow skill", "make an MCP skill", or asks about skill structure, frontmatter, trigger phrases, or skill best practices. Walks through the full lifecycle from use case definition to distribution.

一人公司的 AI 团队。根据任务快速组建临时 AI Agent 团队协作，像拥有完整团队一样独立运作。

Lenny's Podcast product management skills - 86 actionable PM skills

Stable Feishu doc writing via MCP (mcporter + lark.update-doc/create-doc) with real multiline markdown and post-write fetch validation. Use when user asks to write/update PRD or cloud docs through Feishu MCP while avoiding literal \n formatting corruption.

Scientific research engine with agentic tree search. Infinite loops until discovery, rigorous tracking, adversarial review, serendipity preserved.

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