提示词
提示词工程与模板
ln-111-root-docs-creator
levnikolaevich
Creates 4 root documentation files (CLAUDE.md, docs/README.md, documentation_standards.md, principles.md). L3 Worker invoked by ln-110-project-docs-coordinator.
implement-plan
mhylle
Orchestrate the execution of complete implementation plans, delegating each phase to implement-phase skill. This skill manages the full plan lifecycle including phase sequencing, user confirmation between phases, and overall progress tracking. Triggers on "implement the plan", "execute the implementation plan", or when given a path to a plan file.
prompt-engineering
vamseeachanta
Comprehensive prompting techniques including chain-of-thought, few-shot, zero-shot, system prompts, persona design, and evaluation patterns
dspy
vamseeachanta
Compile prompts into self-improving pipelines with signatures, modules, optimizers, and programmatic prompt engineering
langchain
vamseeachanta
Build production-ready LLM applications with chains, agents, memory, tools, and RAG pipelines using the LangChain framework
pandasai
vamseeachanta
Conversational data analysis using natural language queries on DataFrames. Chat with your data using LLMs to generate insights, create visualizations, and explain code.
agenta
vamseeachanta
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
resolver-query
mycelium-hq
'Use when an operator asks which rule or policy governs a question — pricing exceptions, deploys, refunds, hiring — or wants to look up the matching rule in Meta/RESOLVER.md without reading the whole index by hand. Triggers: /resolver-query <question>, "which rule applies", "what''s our policy on X", "does a rule cover this". Not for writing or editing rules (read-only) and not for rebuilding RESOLVER.md (use resolver-build.py).'
health-context
mycelium-hq
'Use when a host skill that benefits from biometric context runs: daily-journal (/journal), coaching, advisory-panel (/panel), patterns, or insights (/weekly, /monthly). Also use when the user asks how HRV, sleep, recovery, resting heart rate, steps, or workouts relate to a journal entry, coaching window, decision, pattern, or weekly review. Companion layer, never standalone. Setup: health-setup. Data import: ingest-health. Sync diagnostics: health-doctor.'
boss
echoVic
BMAD 全自动研发流水线编排器。编排 9 个专业 Agent（PM、架构师、UI 设计师、Tech Lead、Scrum Master、开发者、QA、DevOps）从需求到部署一气呵成。 Triggers: 'boss mode', '/boss', '全自动开发', '从需求到部署', '帮我做一个', 'build this', 'ship it', '全流程', '自动化开发', '一键开发', 'start a project', 'new feature' Does NOT trigger: - 单文件修改或简单 bug 修复（直接编辑即可） - 纯代码阅读或解释（使用 read 工具） - 已有 pipeline 正在运行时的重复启动 Output: 完整项目代码 + PRD/架构/UI/测试/部署文档，写入 .boss/<feature>/ 目录
prompt-engineering
cosmix
Designs and optimizes prompts for large language models including system prompts, agent signals, and few-shot examples. Covers instruction design, prompt security, chain-of-thought reasoning, and in-context learning for orchestrated AI agents. Trigger keywords: prompt, LLM, GPT, Claude, AI, system prompt, user prompt, few-shot, chain of thought, CoT, in-context learning, prompt template, prompt injection, jailbreak prevention, agent signal, agent instruction, agent orchestration, reasoning, instruction tuning.
prompt-engineering
lv416e
"Use when designing, testing, or deploying LLM prompts for applications - systematic prompt design methodology (pattern selection, structured output, evaluation, versioning) ensuring every prompt is tested against ground truth before production LLMプロンプトの設計、テスト、デプロイ時に使用 - 体系的なプロンプト設計手法（パターン選択、構造化出力、評価、バージョン管理）により、すべてのプロンプトが本番前にグランドトゥルースに対してテスト済みであることを保証"
customaize-agent:thought-based-reasoning
NeoLabHQ
Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns
customaize-agent:prompt-engineering
NeoLabHQ
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
customaize-agent:test-prompt
NeoLabHQ
Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR cycle to prompt engineering using subagents for isolated testing
customaize-agent:create-hook
NeoLabHQ
Create and configure git hooks with intelligent project analysis, suggestions, and automated testing
mcp:setup-serena-mcp
NeoLabHQ
Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
customaize-agent:context-engineering
NeoLabHQ
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
mcp:setup-context7-mcp
NeoLabHQ
Guide for setup Context7 MCP server to load documentation for specific technologies.
customaize-agent:agent-evaluation
NeoLabHQ
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
customaize-agent:apply-anthropic-skill-best-practices
NeoLabHQ
Comprehensive guide for skill development based on Anthropic's official best practices - use for complex skills requiring detailed structure
customaize-agent:create-agent
NeoLabHQ
Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns
customaize-agent:create-skill
NeoLabHQ
Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization
find-my-project
aviz85
"Helps beginners find their first AGENTIC project through pain point identification. Guides through questioning, analysis, project suggestion, and folder setup. Use when someone asks 'what project should I build?' or 'help me get started with Claude Code'."