Prompts
Prompt engineering and templates
Uses and selection guide
Use these skills to connect model capabilities with repeatable agent workflows. Check the model or tool requirements, context inputs and evaluation examples; choose the smallest workflow that covers your actual task.
brand-voice
by luongnv89
Забезпечення відповідності всіх комунікацій голосу та тону бренду. Використовуйте при створенні маркетингових текстів, клієнтських комунікацій, публічного контенту, або коли користувачі згадують голос бренду, тон чи стиль написання.
lesson-quiz
by luongnv89
"Test a learner on a single Claude Code tutorial lesson (01-10) with 10 questions, scoring answers and flagging weak spots. Use before, during, or after a lesson. Don't use for whole-tutorial assessment or explaining a topic instead of testing it."
example-skill
by anthropics
This skill should be used when the user asks to "demonstrate skills", "show skill format", "create a skill template", or discusses skill development patterns. Provides a reference template for creating Claude Code plugin skills.
cardputer-buddy
by anthropics
Iterate on the Cardputer-Adv MicroPython app bundle (Claude Buddy, Snake, Hello) after the device is already provisioned via m5-onboard. Use when the user wants to add a new app, push a single changed .py without re-flashing, watch device serial logs, or run a one-shot REPL command. Trigger on "add an app", "push to the cardputer", "tail the device", "run on the device", or follow-up work after /maker-setup.
LLM Wiki Maintainer
by paperclipai
"Use the LLM Wiki plugin tools to maintain a cited local company wiki."
create-prompt
by microsoft
'Create a reusable prompt file (.prompt.md) for a common task.'
otel
by microsoft
OpenTelemetry instrumentation for the Copilot Chat extension — covers the four agent execution paths, the IOTelService abstraction, span/metric/event conventions, and the relationship between code and the user/developer monitoring docs. Use when adding/changing OTel spans, metrics, or events; instrumenting a new agent surface; touching the Copilot CLI bridge or Claude span emission; or updating extensions/copilot/docs/monitoring/agent_monitoring*.md.
agent-tracing
by lobehub
'Agent tracing CLI for execution snapshots. Use for agent-tracing, traces, snapshots, LLM call inspection, context engine data, agent step analysis, execution debugging, or pulling remote/production traces ("拉线上 tracing") by operation id. Also the first stop for debugging agent tool calls — wrong or missing tool_calls, unexpected tool arguments or results, which tools were available at a step, or why a tool ran where it did.'
model-bank-metadata
by lobehub
'Backfill and maintain model-bank metadata (knowledgeCutoff, family, generation). Use when adding models, fixing cutoff/family data, running a metadata sweep across aiModels providers, or researching official knowledge cutoffs.'
builtin-tool
by lobehub
'Build LobeHub builtin tool packages. Use when adding agent-callable tools, manifests, executors, runtimes, inspectors, renders, placeholders, streaming, interventions, portals, or tool registries.'
agent-team
by dyoshikawa
Form an Agent Team of Implementer and Reviewer subagents to tackle the given task, looping implementation and review until the Reviewer reports zero high-or-above findings and no more than three mid findings.
hindsight-architect
by vectorize-io
Expert memory architect. Understands your application, identifies where memory adds value, and produces an implementation plan with bank config, tag schema, and code.
content-engine
by affaan-m
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
agent-harness-construction
by affaan-m
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
ai-agent-development
by sickn33
"AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents."
ai-wrapper-product
by sickn33
Expert in building products that wrap AI APIs (OpenAI, Anthropic,
ai-md
by sickn33
"Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance."
workshop-facilitation
by deanpeters
Facilitate workshop sessions in a one-step, multi-turn flow. Use when an interactive skill needs consistent pacing, options, and progress tracking.
discernment-nudge
by anthropics
After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.
claude-api
by anthropics
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, anthropic, @anthropic-ai, claude-, us.anthropic., [1m]); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR grep -rE 'openai langchain_openai google.generativeai genai mistralai cohere ollama' over the project hits (run this grep FIRST if no provider named — don't Read the file).
claude-opus-4-5-migration
by anthropics
Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and prompt adjustments for known Opus 4.5 behavioral differences. Does NOT migrate Haiku 4.5.
Command Development
by anthropics
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
prompt-guard
by Orchestra-Research
Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, <1% FPR. Fast (<2ms GPU). Multilingual (8 languages). Deploy with HuggingFace or batch processing for RAG security.
llama-factory
by Orchestra-Research
Expert guidance for fine-tuning LLMs with LLaMA-Factory - WebUI no-code, 100+ models, 2/3/4/5/6/8-bit QLoRA, multimodal support