Topic: chatgpt
477 skills in this topic.
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affiliate-blog-builder
Write SEO-optimized affiliate blog articles, product reviews, comparison posts, listicles, and how-to guides. Triggers on: "write a blog post about", "review of [product]", "best [category] article", "comparison blog", "affiliate blog", "SEO article", "write a review", "product roundup", "blog content for affiliate", "how to use [product] blog post", "listicle about [category]", "[product] vs [product] blog", "content for my affiliate site".
Affitor/affiliate-skills 308
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cloudflare
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task.
Kilo-Org/kilocode 17,981
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agents-sdk
Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks.
Kilo-Org/kilocode 17,981
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vscode-visual-regression
Write Storybook stories and visual regression tests for the Kilo VS Code extension webview UI
Kilo-Org/kilocode 17,981
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prompt-architect
Analyzes and improves prompts using 27 research-backed frameworks across 7 intent categories. Use when a user wants to improve, rewrite, structure, or engineer a prompt — including requests like "help me write a better prompt", "improve this prompt", "what framework should I use", "make this prompt more effective", or any prompt engineering task. Recommends the right framework based on intent (create, transform, reason, critique, recover, clarify, agentic), asks targeted questions, and delivers a structured, high-quality result.
ckelsoe/prompt-architect 100
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using-process-tool
Describes how to correctly use 'process' tool
langchain4j/langchain4j 11,558
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greeting-user
Explains how to properly greet the user
langchain4j/langchain4j 11,558
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greeting-user
Explains how to properly greet the user
langchain4j/langchain4j 11,558
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test-skill
test description
langchain4j/langchain4j 11,558
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my-skill
Short description of what this skill does and when to use it.
PaperDebugger/paperdebugger 1,436
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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
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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
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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
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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
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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
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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
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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
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circuit-breaker
Mandatory systemic pause when cumulative red flags exceed threshold. Forces disengagement across Trading, Spending, Relationships, Work, and Energy domains.
winstonkoh87/Athena-Public 456
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Diagnostic-First Refactoring
A non-destructive, decoupled analysis protocol for refactoring code. Generates a "Bill of Materials" report before any code is touched.
winstonkoh87/Athena-Public 456
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synthetic-parallel-reasoning
Automates Protocol 75 v4.0, forcing 4 parallel external API calls (Domain Expert, Adversarial Skeptic, Cross-Domain Pattern Matcher, Zero-Point First Principles) with an Adversarial Convergence Gate. The 'Einstein Protocol' application.
winstonkoh87/Athena-Public 456
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brand-foundations
Automated Q&A sequence that extracts the 7 core brand pillars and outputs a finalized brand_guidelines.md.
winstonkoh87/Athena-Public 456
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academic-delivery
8-step pipeline for academic deliverables — essays, reports, analysis, capstones. Encodes the full intake-to-delivery workflow with automatic red-team triggering.
winstonkoh87/Athena-Public 456
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zenith-execution
Unified trade execution suite: Half-Kelly sizing, stop-loss calculation, Monte Carlo simulation, and portfolio rebalancing. Absorbs: kelly-mandate, stop-loss-calc, monte-carlo-sim, portfolio-rebalancer.
winstonkoh87/Athena-Public 456
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git-worktree-swarm
Automates the complex setup of parallel git worktrees for agentic swarms with dependency-aware wave execution.
winstonkoh87/Athena-Public 456