llm-obs-experiment-py-bootstrap
Generates a self-contained Python experiment client that uses the ddtrace.llmobs SDK. Emits either a runnable .py script or a Jupyter .ipynb notebook matching…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-19 00:11
24,149 results
Generates a self-contained Python experiment client that uses the ddtrace.llmobs SDK. Emits either a runnable .py script or a Jupyter .ipynb notebook matching…
Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other…
Research collection of reconstructed prompt patterns and architectures for agentic AI coding assistants
Build AI agents with in-process agent loops using Anthropic or OpenAI APIs, custom tools, MCP servers, and multi-turn conversations
Execute Python code in isolated rootless containers with MCP server proxying to reduce context bloat from 30K to 200 tokens
Persist project decisions, conventions, and session handoffs as reviewable markdown in `.agent-memory/`. Use when asked to "manage project memory", "initialize…
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's…
Fixes AI content discovery issues — creates and optimizes robots.txt, AI crawler directives, XML sitemaps, llms.txt, meta robots tags, and content freshness…
Build and run a business owner's second brain: one vault, two wings (personal + four-layer business), operated through Claude Code with Obsidian as the viewing…
Use when executing tasks from a task breakdown document in the current session.
Use this skill when OpenStoryline is already installed and the user wants to start the local MCP/Web services, create or continue a session, send editing…
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
The consumer panel. Spins up a swarm of buyer sub-agents (default 100, --quick for 20) trained on the user's target customer, each with a different income,…
Expert knowledge for Azure Reliability development including best practices, decision making, architecture & design patterns, limits & quotas, and deployment.…
Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run…
Use when debugging 'files disappeared', 'data missing after restart', 'backup too large', 'can't save file', 'file not found', 'storage full error', 'file…
Translate multi-agent ecosystem activity into human-readable status briefings, decision requests, and progress summaries. Use for 'status update', 'brief me',…
Plan and create Amazon Sponsored Products campaigns end-to-end via the Hyper MCP. Use when the user wants to launch Amazon Ads, set up Sponsored Products,…
Structured session analysis and project instruction refinement using a five-type intervention taxonomy (Correction, Repetition, Role Redirect, Frustration…
Design effective system prompts for custom agents. Use when creating agent system prompts, defining agent identity and rules, or designing high-impact prompts…
Use OpenAI Codex CLI through MCP to get AI-powered code analysis, generation, review, and web search directly in your editor
Build lightweight MCP servers in pure Bash with zero runtime overhead for AI tool integration
Cross-tool golden rules for an autonomous Scrapfly web agent connected to the Scrapfly MCP server (web_scrape, screenshot, check_if_blocked, the Cloud Browser…
Planning skill for AI-powered conversational agents. Qualifies the developer's use case across outcome sophistication, entry point, and customer profile to…