Prompts
Prompt engineering and templates
coach
by dazuck
Expert advisor and thinking partner for strategic situations. Rapidly develops domain expertise, identifies knowledge gaps, and provides radically candid coaching to accelerate learning and decision-making.
codex
by rocky2431
Run OpenAI Codex CLI for code analysis, generation, refactoring, and review. Supports exec, resume, review subcommands with inline config overrides.
skills
by marioluciofjr
Repositório com minhas skills para Claude, Antigravity, Agno, ADK e demais sistemas agênticos
Prompt Skills
by marioluciofjr
Repositório com minhas skills para Claude, Antigravity, Agno, ADK e demais sistemas agênticos
prompt-improver
by ils15
Improve prompts for AI agents and Telegram bots using OpenAI's prompt engineering best practices. Analyzes clarity, specificity, context, and output format. Returns structured improvements.
templates
by xenitV1
Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.
code-review-checklist
by xenitV1
Code review guidelines covering code quality, security, and best practices.
geo-fundamentals
by xenitV1
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
clean-code
by xenitV1
Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments
app-builder
by xenitV1
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.
brand-archetype-selection
by mike-coulbourn
Provides Jungian brand archetype frameworks, the 12 archetypes with profiles, the 70/30 primary/secondary rule, archetype combinations, and selection templates. Auto-activates during brand archetype selection, emotional positioning, and brand personality work. Use when discussing brand archetypes, Jungian archetypes, 12 archetypes, Hero, Outlaw, Magician, Creator, Lover, Jester, Everyman, Caregiver, Ruler, Sage, Explorer, Innocent, 70/30 rule, Mark-Pearson, or archetype combinations.
evaluation-harness
by patricio0312rev
Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmarking".
collaborating-with-codex
by GuDaStudio
Delegates coding tasks to Codex CLI for prototyping, debugging, and code review. Use when needing algorithm implementation, bug analysis, or code quality feedback. Supports multi-turn sessions via SESSION_ID.
cleanddd-dotnet-init
by netcorepal
初始化 CleanDDD dotnet 项目（netcorepal-web 模板）；在创建新项目或为客户演示快速拉起解决方案时使用，可直接调用 dotnet new 或包装脚本
prompt-engineering
by sabahattinkalkan
Comprehensive prompt engineering framework for designing, optimizing, and iterating LLM prompts. Use when creating prompts, optimizing existing prompts, or improving AI instructions.
create-skill
by Zpankz
Guide for creating new skills in Kai's personal AI infrastructure. Use when user wants to create, update, or structure a new skill that extends capabilities with specialized knowledge, workflows, or tool integrations. Follows both Anthropic skill standards and PAI-specific patterns.
codex
by Zpankz
Execute OpenAI Codex CLI for code analysis, refactoring, and automated editing. Also use for delegating complex debugging and research to GPT models for second opinions.
PAI
by Zpankz
Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, Python, Rust] - Package managers: [e.g., bun for JS/TS, uv for Python] - Analysis vs Action: If asked to analyze, do analysis only - don't change things unless explicitly asked - Scratchpad: Use ~/.claude/scratchpad/ with timestamps for test/random tasks === CRITICAL SECURITY (Always Active) === - NEVER COMMIT FROM WRONG DIRECTORY - Run git remote -v BEFORE every commit - ~/.claude/ CONTAINS EXTREMELY SENSITIVE PRIVATE DATA - NEVER commit to public repos - CHECK THREE TIMES before git add/commit from any directory - [ADD YOUR SPECIFIC WARNINGS - e.g., iCloud directory, company repos, etc.] === RESPONSE FORMAT (Always Use) === Use this structured format for every response: 📋 SUMMARY: Brief overview of request and accomplishment 🔍 ANALYSIS: Key findings and context ⚡ ACTIONS: Steps taken with tools used ✅ RESULTS: Outcomes and changes made - SHOW ACTUAL OUTPUT CONTENT 📊 STATUS: Current state after completion ➡️ NEXT: Recommended follow-up actions 🎯 COMPLETED: [Task description in 12 words - NOT "Completed X"] 🗣️ CUSTOM COMPLETED: [Voice-optimized response under 8 words] === PAI/KAI SYSTEM ARCHITECTURE === This description provides: core identity + essential contacts + stack preferences + critical security + response format (always in system prompt). Full context loaded from SKILL.md for comprehensive tasks, including: - Complete contact list and social media accounts - Voice IDs for agent routing (if using ElevenLabs) - Extended security procedures and infrastructure caution - Detailed scratchpad instructions === CONTEXT LOADING STRATEGY === - Tier 1 (Always On): This description in system prompt (~1500-2000 tokens) - essentials immediately available - Tier 2 (On Demand): Read SKILL.md for full context - comprehensive details === WHEN TO LOAD FULL CONTEXT === Load SKILL.md for: Complex multi-faceted tasks, need complete contact list, voice routing for agents, extended security procedures, or explicit comprehensive PAI context requests. === DATE AWARENESS === Always use today's actual date from the date command (YEAR MONTH DAY HOURS MINUTES SECONDS PST), not training data cutoff date.
agent-evaluation
by Zpankz
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
delegate-router
by Zpankz
Unified router for agent delegation and skill routing. Absorbs agents-router + skills-router. Triggers on complex tasks, multi-step operations, research, exploration, or specialized skill needs.
Documentation Management Skill
by Zpankz
BAIME Methodology
generate-cover-prompt
by steelan9199
生成公众号文章封面图片的AI提示词。智能分析文章标题和内容，提取核心价值和视觉主题，生成适合即梦等AI绘图工具使用的专业提示词。支持从上下文中读取文章内容，确保封面与文章主题高度契合。当用户需要生成公众号文章封面、创建封面图片提示词、为文章配图时使用此技能。
agent-observability
by Zpankz
Real-time observability dashboard for multi-agent Claude Code sessions. Visualize agent interactions, tool usage, and session flows in real-time through a web dashboard. Track multiple agents running in parallel with swim lane visualization, event filtering, and live charts. Key Features: - 🔴 Real-time event streaming via WebSocket - 📊 Agent swim lanes showing parallel execution - 🔍 Event filtering by agent, session, event type - 📈 Live charts for tool usage patterns - 💾 Filesystem-based (no database required) Inspired by @indydevdan's work on multi-agent observability. Our approach: Filesystem + in-memory streaming vs. indydevdan's SQLite database approach.
codex-peer-review
by leegonzales
[CLAUDE CODE ONLY] Leverage Codex CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, and alternative approach generation. Requires terminal access to execute Codex CLI commands. Use when making high-stakes decisions, reviewing complex architecture, or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.