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Topic: chatbots

27 skills in this topic.

pr-description Update a GitHub PR description with a summary of changes
pipecat-ai/pipecat 11,202
docstring Document a Python module and its classes using Google style
pipecat-ai/pipecat 11,202
code-review Automated code review for pull requests using multiple specialized agents
pipecat-ai/pipecat 11,202
cleanup
pipecat-ai/pipecat 11,202
changelog Create changelog files for important commits in a PR
pipecat-ai/pipecat 11,202
update-docs Update documentation pages to match source code changes on the current branch
pipecat-ai/pipecat 11,202
pr-submit Create and submit a GitHub PR from the current branch
pipecat-ai/pipecat 11,202
mem0-vercel-ai-sdk Mem0 provider for Vercel AI SDK (@mem0/vercel-ai-provider). TRIGGER when: user mentions "vercel ai sdk", "@mem0/vercel-ai-provider", "createMem0", "retrieveMemories", "addMemories", "getMemories", "searchMemories", "mem0 vercel", "AI SDK provider", "AI SDK memory", or is using generateText/streamText with mem0. Also triggers for Next.js apps needing memory-augmented AI. DO NOT TRIGGER when: user asks about direct Python/TS SDK calls without Vercel (use mem0 skill), or CLI terminal commands (use mem0-cli skill).
mem0ai/mem0 52,700
mem0-cli Mem0 CLI -- the command-line interface for mem0 memory operations. TRIGGER when: user mentions "mem0 cli", "mem0 command line", "@mem0/cli", "mem0-cli", "pip install mem0-cli", "npm install -g @mem0/cli", or is running mem0 commands in a terminal/shell (mem0 add, mem0 search, mem0 list, mem0 get, mem0 init, mem0 config, mem0 import). Also triggers when query includes CLI flags like --user-id, --output, --json, --agent, or describes bash/zsh/terminal/shell usage. DO NOT TRIGGER when: user asks about programmatic SDK integration in Python/TS code (use mem0 skill), or Vercel AI SDK provider (use mem0-vercel-ai-sdk skill).
mem0ai/mem0 52,700
mem0 Mem0 Platform SDK for adding persistent memory to AI applications. TRIGGER when: user mentions "mem0", "MemoryClient", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python SDK (mem0ai), TypeScript SDK (mem0ai), and framework integrations (LangChain, CrewAI, OpenAI Agents SDK, Pipecat, LlamaIndex, AutoGen, LangGraph). Also covers the open-source self-hosted Memory class. This is the DEFAULT mem0 skill for ambiguous queries. DO NOT TRIGGER when: user asks about CLI commands, terminal usage, or shell scripts (use mem0-cli), or Vercel AI SDK / @mem0/vercel-ai-provider / createMem0 (use mem0-vercel-ai-sdk).
mem0ai/mem0 52,700
memory-triage Persistent long-term memory protocol powered by mem0. Evaluate conversations for durable facts worth storing via memory_add. Handles identity, preferences, decisions, configurations, rules, projects, and relationships. Loaded by the openclaw-mem0 plugin when skills mode is active.
mem0ai/mem0 52,700
memory-dream Memory consolidation protocol. Reviews all stored memories, merges duplicates, removes noise and credentials, rewrites unclear entries, and enforces TTL expiration. Use when the user asks to clean up, consolidate, or review their memories. Also triggers automatically after sufficient activity (configurable).
mem0ai/mem0 52,700
mem0 Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.
mem0ai/mem0 52,700
mem0-codex Mem0 persistent memory integration for Codex. Automatically retrieve relevant memories at the start of each task, store key learnings when tasks complete, and capture session state before context is lost. Use the mem0 MCP tools (add_memory, search_memories, get_memories, etc.) for all memory operations.
mem0ai/mem0 52,700
security-review Security-focused code review checklist for identifying vulnerabilities
mastra-ai/mastra 22,443
e2e-tests-studio REQUIRED when modifying any file in packages/playground-ui or packages/playground. Triggers on: React component creation/modification/refactoring, UI changes, new playground features, bug fixes affecting studio UI. Generates Playwright E2E tests that validate PRODUCT BEHAVIOR, not just UI states.
mastra-ai/mastra 22,443
performance-review Performance-focused code review for identifying bottlenecks and optimization opportunities
mastra-ai/mastra 22,443
code-standards Code quality standards and style guide for reviewing pull requests
mastra-ai/mastra 22,443
customer-support Guidelines for handling customer support interactions. Use when responding to user inquiries, troubleshooting issues, or escalating problems.
mastra-ai/mastra 22,443
code-review Provides structured code review guidelines for TypeScript projects. Use when reviewing pull requests, analyzing code quality, or suggesting improvements.
mastra-ai/mastra 22,443
tailwind-best-practices Tailwind CSS styling guidelines for Mastra Playground UI. This skill should be used when writing, reviewing, or refactoring styling code in packages/playground-ui and packages/playground to ensure design system consistency. Triggers on tasks involving Tailwind classes, component styling, or design tokens.
mastra-ai/mastra 22,443
smoke-test Create a Mastra project using create-mastra and smoke test the studio in Chrome
mastra-ai/mastra 22,443
react-best-practices React performance optimization guidelines from Mastra Engineering. This skill should be used when writing, reviewing, or refactoring React code to ensure optimal performance patterns. Triggers on tasks involving React components, data fetching, bundle optimization, or performance improvements.
mastra-ai/mastra 22,443
ralph-plan Interactive planning assistant that helps create focused, well-structured ralph-loop commands through collaborative conversation
mastra-ai/mastra 22,443