35 DevOps & Infra prompts, curated and searchable. Browse all categories →
Lists specific Python package dependencies with version constraints for a project.
agno>=2.2.10 streamlit==1.40.2 duckduckgo_search==6.3.7 newspaper4k==0.9.3.1 lxml_html_clean==0.4.1
Defines pinned and minimum version dependencies for agno, google-generativeai, and streamlit packages.
agno>=2.2.10 google-generativeai==0.8.3 streamlit==1.40.2
Lists Python package dependencies with version constraints for an AI-powered application.
agno>=2.2.10 streamlit>=1.40.2 openai>=1.102.0 requests firecrawl-py>=4.6.0 elevenlabs>=1.0.0
Dependencies list for a LangChain, Qdrant, and Streamlit-based AI application.
langchain==0.3.12 langchain-community==0.3.12 langchain-core==0.3.28 qdrant-client==1.12.1 streamlit>=1.29.0 pypdf>=4.0.0 sentence-transformers>=2.2.2 agno langchain-openai==0.2.14 langgraph==0.2.53 duckduckgo-search==6.4.1
Python package requirements for a Streamlit app with Ollama and Neo4j integrations.
streamlit>=1.28.0 ollama>=0.1.0 neo4j>=5.0.0
Python package dependencies for a Streamlit app using Agno, LanceDB, OpenAI, and dotenv.
streamlit agno>=2.2.10 lancedb openai python-dotenv
Lists Python package requirements for a LangChain, Cohere, Qdrant, and Streamlit AI application.
langchain==0.3.12 langchain-community==0.3.12 langchain-core==0.3.25 langchain-cohere==0.3.2 langchain-qdrant==0.2.0 cohere==5.11.4 qdrant-client==1.12.1 duckduckgo-search==6.4.1 streamlit==1.40.2 tenacity==9.0.0 typing-extensions==4.12.2 pydantic==2.9.2 pydantic-core==2.23.4 langgraph==0.2.53
Lists Python package dependencies for an AI project using Agno, Qdrant, LangChain, Streamlit, and Ollama.
agno>=2.2.10 pypdf exa qdrant-client langchain-qdrant langchain-community streamlit ollama
A minimal requirements file listing agno, openai, mcp, and python-dotenv dependencies.
agno>=2.2.10 openai mcp python-dotenv
A pip requirements file listing LangChain, Cohere, Qdrant, and related AI/ML package dependencies.
langchain==0.3.12 langchain-community==0.3.12 langchain-core==0.3.25 langchain-cohere==0.3.2 langchain-qdrant==0.2.0 cohere==5.11.4 qdrant-client==1.12.1 duckduckgo-search==6.4.1 streamlit==1.40.2 tenacity==9.0.0 typing-extensions==4.12.2 pydantic==2.9.2 pydantic-core==2.23.4 langgraph==0.2.53
A requirements file listing Python packages for an AI stack including Agno, Exa, Qdrant, LangChain, Streamlit, and Ollama.
agno exa==0.5.26 qdrant-client==1.12.1 langchain-qdrant==0.2.0 langchain-community==0.3.13 streamlit==1.41.1 ollama
A list of Python package dependencies including AI, vector DB, and web framework libraries.
agno>=2.2.10 pypdf exa qdrant-client langchain-qdrant langchain-community streamlit ollama
A requirements.txt listing specific versions of agno, streamlit, qdrant-client, and ollama packages.
agno>=2.2.10 streamlit==1.40.2 qdrant-client==1.12.1 ollama==0.4.4
A robots.txt file allowing all user agents full access with no disallowed paths.
User-agent: * Disallow:
A robots.txt file allowing all user agents full access with no disallowed paths.
User-agent: * Disallow:
Minimal requirements file specifying google-adk and google-genai package dependencies.
google-adk>=1.0.0 google-genai>=1.0.0
Specifies Python package dependencies for DevPulseAI using OpenAI, Streamlit, and feed parsing libraries.
# Single provider (OpenAI) by default — no multi-provider setup required. agno openai httpx feedparser streamlit>=1.30
A requirements.txt file listing Python dependencies for a Streamlit data visualization app with Google ADK.
google-adk==0.1.0 streamlit>=1.28.0 pandas>=2.0.0 matplotlib>=3.7.0 numpy==1.26.4 python-dotenv>=1.0.0 plotly>=5.15.0 asyncio>=3.4.3
Specifies Python package dependencies with version constraints for a generative AI Streamlit application.
google-generativeai==0.8.3 streamlit==1.40.2 agno>=2.2.10
Lists Python package dependencies for a Streamlit app using Agno, OpenAI, and Google Search Results.
streamlit agno>=2.2.10 openai google-search-results
Autogenerated pip requirements lock file listing pinned packages for a tic-tac-toe Streamlit app.
# ./generate_requirements.sh
agno>=2.2.10
# via -r cookbook/examples/apps/tic_tac_toe/requirements.in
altair==5.5.0
# via streamlit
annotated-types==0.7.0
# via pydantic
anthropic==0.47.1
# via -r cookbook/examples/apps/tic_tac_toe/requirements.in
anyio==4.8.0
# via
# anthropic
# groq
# httpx
# openai
attrs==25.1.0
# via
# jsonschema
#
A minimal requirements file specifying versions for agno, langchain-openai, browser-use, and streamlit.
agno>=2.2.10 langchain-openai browser-use streamlit
Auto-generated Python dependency lock file for a tic-tac-toe app using Streamlit and multiple AI providers.
# ./generate_requirements.sh
agno>=2.2.10
# via -r cookbook/examples/apps/tic_tac_toe/requirements.in
altair==5.5.0
# via streamlit
annotated-types==0.7.0
# via pydantic
anthropic==0.47.1
# via -r cookbook/examples/apps/tic_tac_toe/requirements.in
anyio==4.8.0
# via
# anthropic
# groq
# httpx
# openai
attrs==25.1.0
# via
# jsonschema
#
A minimal requirements file listing Python packages for an AI agent application.
agno>=2.2.10 langchain-openai browser-use streamlit
Multi-agent runbook covering detection, triage, mitigation, and post-mortem for P0–P3 production incidents.
> **Mode**: NEXUS-Micro | **Duration**: Minutes to hours | **Agents**: 3-8 --- ## Scenario Something is broken in production. Users are affected. Speed of response matters, but so does doing it right. This runbook covers detection through post-mortem. ## Severity Classification | Level | Definition | Examples | Response Time | |-------|-----------|----------|--------------| | **P0 — Critical*
Multi-agent playbook for building CI/CD pipelines, infrastructure, and frontend scaffolding in 3-5 days.
> **Duration**: 3-5 days | **Agents**: 6 | **Gate Keepers**: DevOps Automator + Evidence Collector --- ## Objective Build the technical and operational foundation that all subsequent work depends on. Get the skeleton standing before adding muscle. After this phase, every developer has a working environment, a deployable pipeline, and a design system to build with. ## Pre-Conditions - [ ] Phas
Consolidates 61 agency agents into a single .windsurfrules file for project-scoped Windsurf integration.
All 61 Agency agents are consolidated into a single `.windsurfrules` file. Rules are **project-scoped** — install them from your project root. ## Install ```bash # Run from your project root cd /your/project /path/to/agency-agents/scripts/install.sh --tool windsurf ``` ## Activate an Agent In Windsurf, reference an agent by name in your prompt: ``` Use the Frontend Developer agent to build th
Explains how to install, configure, and invoke OpenCode subagents stored as markdown files with YAML frontmatter.
OpenCode agents are `.md` files with YAML frontmatter stored in `.opencode/agents/`. The converter maps named colors to hex codes and adds `mode: subagent` so agents are invoked on-demand via `@agent-name` rather than cluttering the primary agent picker. ## Install ```bash # Run from your project root cd /your/project /path/to/agency-agents/scripts/install.sh --tool opencode ``` This creates `.
Instructions for generating, installing, and activating OpenClaw agents via CLI scripts and workspace configuration files.
OpenClaw agents are installed as workspaces containing `SOUL.md`, `AGENTS.md`, and `IDENTITY.md` files. The installer copies each workspace into `~/.openclaw/agency-agents/` and registers it when the `openclaw` CLI is available. Before installing, generate the OpenClaw workspaces: ```bash ./scripts/convert.sh --tool openclaw ``` ## Install ```bash ./scripts/install.sh --tool openclaw ``` ## A
Packages 61 agency agents as a Gemini CLI extension installable to ~/.gemini/extensions/agency-agents/.
Packages all 61 Agency agents as a Gemini CLI extension. The extension installs to `~/.gemini/extensions/agency-agents/`. ## Install ```bash ./scripts/install.sh --tool gemini-cli ``` ## Activate a Skill In Gemini CLI, reference an agent by name: ``` Use the frontend-developer skill to help me build this UI. ``` ## Extension Structure ``` ~/.gemini/extensions/agency-agents/ gemini-extensi