Python · Prompt engineering

Reference of Claude API examples and guides covering tool use, vision, RAG, classification, summarization, text-to-SQL, prompt caching and agent patterns.

2025Emma/vibe-coding-cn

Adding a Community Agent Skill: a Markdown attack-workflow file that users import from the catalog, which then competes in the Intent Router and is injected into the agent's system prompt.

samugit83/redamon

Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.

maslennikov-ig/claude-code-orchestrator-kit

Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.

wshobson/agents

Gather domain context about the repository and agent — system prompt, tool definitions, domain docs, and behavior patterns from traces.

kayba-ai/agentic-context-engine

Reference for the Opik SDK — tracing, span types, framework integrations, threads, and the prompt library (Python, TypeScript, REST).

comet-ml/opik-mcp

Teaches an agent to build LM pipelines, RAG systems and agents in DSPy using signatures, modules and optimizers instead of hand-tuned prompts.

Orchestra-Research/AI-Research-SKILLs

A skill your agent uses when writing or reviewing AI agent configs, system prompts, or tool definitions (JSON/YAML/Python) and you need to catch ambiguous tool descriptions, missing stop conditions…

hermes-labs-ai/lintlang

Maps the /ai/ subsystem of flowfile_core, its three agent tiers, litellm seam, BYOK keys and rate limits, and sets rules for extending or debugging it safely.

Edwardvaneechoud/Flowfile

Lint AI agent instruction files (SKILL.md, CLAUDE.md, AGENTS.md, GEMINI.md), tool definitions, system prompts, and agent configs with the deterministic LintLang CLI.

hermes-labs-ai/lintlang

Constrains language model output with regex, selections and grammars using the Guidance library, so JSON, XML, code or formatted fields come out valid.

Orchestra-Research/AI-Research-SKILLs

Audit a named AI agent config, system prompt, tool-definition or instruction file (YAML, JSON, Markdown, text, or Python) with the released LintLang CLI, on request.

hermes-labs-ai/lintlang

Audit a named AI agent config, system prompt, tool definition, or instruction file (YAML, JSON, Markdown, text, or Python) with the released LintLang CLI in GitHub Copilot CLI.

hermes-labs-ai/lintlang

Render the provided prompt template with Jinja context and send it to the active NPC's LLM.

NPC-Worldwide/npcpy

A skill your agent uses when the user asks to optimize prompts, design prompt templates, evaluate LLM outputs with an eval set, measure RAG retrieval quality, validate agent/tool configurations…

alirezarezvani/claude-skills

Configures and runs LLM evaluation using Promptfoo framework.

daymade/claude-code-skills

Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and A/B test wiring.

jeremylongshore/tons-of-skills-marketplace

Compose LangChain 1.0 Python runnables with the production defaults the docs do not warn about: parallel batching, narrow fallbacks, and brace-safe prompts.

jeremylongshore/tons-of-skills-marketplace

Prompt engineering and LLM evaluation. An agent skill from borghei/Claude-Skills.

borghei/Claude-Skills

Optimize and build programmatic prompt systems with Stanford DSPy.

magnus919/agent-skills

Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques.

ancoleman/ai-design-components