Prompts
Prompt engineering and templates
portfolio-project-architect
by ChunkyTortoise
"Transform service catalog into high-ticket portfolio assets with memory-persistent scoping and optimized Auto Claude handoff generation"
dspy
by L-yifan
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
faion-ml-ops
by faionfaion
"ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability."
portfolio-project-architect-enhanced
by ChunkyTortoise
"Advanced portfolio development with Claude Code 2.1.0 agent lifecycle management, hot-reloadable skills, and parallel processing optimization"
shape-your-agent
by sanity-io
Interactive session to craft a system prompt for an AI agent powered by Sanity Agent Context MCP.
deep-research
by lodekeeper
Multi-agent deep research pipeline for complex questions (EIP analysis, architecture decisions, cross-client comparisons, protocol design). Use when single-shot answers are insufficient and you need decomposition, parallel investigation, adversarial critique, and a formal output document.
guidance
by L-yifan
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
skill-browser-crawl
by hwj123hwj
基于浏览器的轻量级网页爬虫。支持 JavaScript 渲染、Markdown 提取，并能递归爬取文档类网站。
aio-claude-manager
by aiocean
This skill should be used when the user asks to "manage skills", "disable skills", "enable skills", "reduce skill clutter", "analyze usage", "apply preset", or mentions starting work on a specific project type (frontend, backend, data, ai). Use when user mentions too many skills, slow responses, context window concerns, or wants to switch between project types.
model-researcher
by IgorWarzocha
Add new/custom AI models to opencode.json. Use proactively for bleeding-edge releases, non-standard providers, self-hosted models, or custom endpoints. Examples: - user: "Add the new Claude 4.5" → websearch for API specs, add provider entry with baseUrl, verify model ID format - user: "Use my local Ollama instance" → configure custom provider with http://localhost:11434, set model ID format - user: "Configure this OpenAI-compatible proxy" → add provider with custom baseUrl, set apikey env var, verify compatibility - user: "Model X just released, add it" → research provider documentation, find model ID and capabilities, add to config
claude-code-clawdbot
by win4r
"Run Claude Code (Anthropic) from this host via the claude CLI (Agent SDK) in headless mode (-p) for codebase analysis, refactors, test fixing, and structured output. Use when the user asks to use Claude Code, run claude -p, use Plan Mode, auto-approve tools with --allowedTools, generate JSON output, or integrate Claude Code into Clawdbot workflows/cron."
grey-haven-prompt-engineering
by greyhaven-ai
"Master 26 documented prompt engineering principles for crafting effective LLM prompts with 400%+ quality improvement. Includes templates, anti-patterns, and quality checklists for technical, learning, creative, and research tasks. Use when writing prompts for LLMs, improving AI response quality, training on prompting, designing agent instructions, or when user mentions 'prompt engineering', 'better prompts', 'LLM quality', 'prompt templates', 'AI prompts', 'prompt principles', or 'prompt optimization'."
grey-haven-evaluation
by greyhaven-ai
"Evaluate LLM outputs with multi-dimensional rubrics, handle non-determinism, and implement LLM-as-judge patterns. Essential for production LLM systems. Use when testing prompts, validating outputs, comparing models, or when user mentions 'evaluation', 'testing LLM', 'rubric', 'LLM-as-judge', 'output quality', 'prompt testing', or 'model comparison'."
gemini-frontend - Gemini CLI 前端开发专用 Skill
by VCnoC
Gemini 2.5 Pro ä¸å®¶å»ºè®®ï¼Consensus 2025-11-19ï¼
deep-gemini
by VCnoC
Deep technical documentation generation workflow using zen mcp's clink and docgen tools. First uses clink to launch gemini CLI in WSL for code analysis, then uses docgen for structured document generation with complexity analysis. Specializes in documents requiring deep understanding of code logic, model architecture, or performance bottleneck analysis. Use when user requests "use gemini for deep analysis", "generate architecture analysis document", "analyze performance bottlenecks", "deeply understand code logic", or similar deep analysis tasks. Default output is .md format.
codex-code-reviewer
by VCnoC
Systematic code review workflow using zen mcp's codex tool. Use this skill when the user explicitly requests "use codex to check the code", "check if the recently generated code has any issues", or "check the code after each generation". The skill performs iterative review cycles - checking code quality, presenting issues to the user for approval, applying fixes, and re-checking until no issues remain or maximum iterations (5) are reached.
simple-gemini
by VCnoC
Collaborative documentation and test code writing workflow using zen mcp's clink to launch gemini CLI session in WSL (via 'gemini' command) where all writing operations are executed. Use this skill when the user requests "use gemini to write test files", "use gemini to write documentation", "generate related test files", "generate an explanatory document", or similar document/test writing tasks. The gemini CLI session acts as the specialist writer, working with the main Claude model for context gathering, outline approval, and final review. For test code, codex CLI (also launched via clink) validates quality after gemini completes writing.
plan-down
by VCnoC
Method clarity-driven planning workflow using zen-mcp tools (chat, planner, consensus). Phase 0 uses chat to judge if user provides clear implementation method. Four execution paths based on automation_mode × method clarity - Interactive/Automatic × Clear/Unclear. All paths converge at planner for task decomposition. Produces complete plan.md file. Use when user requests "create a plan", "generate plan.md", "use planner for planning", "help me with task decomposition", or similar planning tasks.
main-router
by VCnoC
Intelligent skill router that analyzes user requests and automatically dispatches to the most appropriate skill(s) or zen-mcp tools. Routes to zen-chat for Q&A, zen-thinkdeep for deep problem investigation, codex-code-reviewer for code quality, simple-gemini for standard docs/tests, deep-gemini for deep analysis, or plan-down for planning. Use this skill proactively to interpret all user requests and determine the optimal execution path.
whatsapp-cloud-api
by bellopushon
Official WhatsApp Cloud API reference for building messaging integrations. Covers sending messages (text, media, templates, interactive), receiving webhooks, conversation lifecycle, phone number management, and error handling. Use when building WhatsApp integrations, sending messages, processing webhooks, or working with the Meta WhatsApp Business Platform API.
codebase-study-guide
by petekp
"Generate a pedagogically-grounded study guide for learning an unfamiliar codebase. Use when the user wants to onboard onto a codebase, understand a project's architecture, create learning materials for a team, or asks things like \"help me learn this codebase\", \"create an onboarding guide\", \"I'm new to this project\", \"how does this system work\", \"study guide for this repo\", or \"explain this codebase to me\". Produces a structured document that builds understanding from purpose to systems to patterns, using evidence-based learning techniques (elaborative interrogation, concept mapping, threshold concepts, worked examples, progressive disclosure)."
deep-work
by petekp
Structured development workflow that separates research, planning, and implementation into distinct phases with persistent markdown artifacts. Use when starting any non-trivial feature, refactor, bug investigation, or codebase change. Trigger on: "deep work", "research and plan", "plan before coding", "write a plan", "research this codebase", "don't code yet", "understand then implement", or when the user wants a disciplined approach to a complex task. Also use when the user says "research", "plan", "annotate", "implement the plan", or references research.md/plan.md artifacts.
ask-mcp
by Lightprotocol
Query Light Protocol and related repositories via DeepWiki MCP. Use when answering questions about compressed accounts, Light SDK, Solana development, Claude Code features, or agent skills. Triggers on technical questions requiring repository context.
review-package
by petekp
Create a self-contained review package of current work for external review by another AI model or human reviewer. Bundles relevant files with a contextual README and instructional prompt. Triggers: "review package", "create review package", "hand off for review", "get a second opinion", "external code review", "cross-model review", "package for review", "prepare code review". Accepts an optional focus area argument to scope the analysis.