Install AGNT5 skills for your coding agent, then use copyable prompts to create, deploy, evaluate, or integrate workflows.
Modern AGNT5 projects often start in an AI coding agent. This page gives Codex, Claude Code, Cursor, Windsurf, Cline, or Copilot AGNT5 skills for creating a workflow, running it with the CLI, inspecting the trace, and moving the result toward production. Use this path when you want the agent to do the setup work inside your repo while you review each file it changes.
1. Install AGNT5 skills
AGNT5 skills are project instructions plus task prompts for AI coding agents. The instruction file tells your coding agent how AGNT5 projects are structured, which commands to run, and how to handle secrets. Add the file that matches your tool, then start a new agent thread so the skills load.
Codex
Add this to AGENTS.md in the target repo. Codex also reads nested AGENTS.md files, so place the file at the narrowest directory that owns the AGNT5 project.
# AGNT5 project instructions- AGNT5 is a durable runtime and observability platform for agentic workflows.- Use `agnt5 create --template <template> <project-name>` for new projects.- Prefer the Python template unless the user asks for TypeScript.- Run `agnt5 auth login` before cloud-backed CLI work.- Keep secrets in `.env`; never commit `.env`.- For model providers, use exactly one of `ANTHROPIC_API_KEY` or `OPENAI_API_KEY`.- Start local runs with `agnt5 dev`, then use the printed Studio URL to inspect runs and traces.- After the quickstart works, propose deploy, evaluate, and integrate as the next tasks.
Claude Code
Add this to CLAUDE.md or .claude/CLAUDE.md in the target repo.
# AGNT5 project instructions- AGNT5 is a durable runtime and observability platform for agentic workflows.- Use `agnt5 create --template <template> <project-name>` for new projects.- Prefer the Python template unless the user asks for TypeScript.- Run `agnt5 auth login` before cloud-backed CLI work.- Keep secrets in `.env`; never commit `.env`.- For model providers, use exactly one of `ANTHROPIC_API_KEY` or `OPENAI_API_KEY`.- Start local runs with `agnt5 dev`, then use the printed Studio URL to inspect runs and traces.- After the quickstart works, propose deploy, evaluate, and integrate as the next tasks.
Cursor
Create a project rule in .cursor/rules/agnt5.mdc, or create it from Cursor Settings > Rules and paste the body below.
# AGNT5 project instructions- AGNT5 is a durable runtime and observability platform for agentic workflows.- Use `agnt5 create --template <template> <project-name>` for new projects.- Prefer the Python template unless the user asks for TypeScript.- Run `agnt5 auth login` before cloud-backed CLI work.- Keep secrets in `.env`; never commit `.env`.- For model providers, use exactly one of `ANTHROPIC_API_KEY` or `OPENAI_API_KEY`.- Start local runs with `agnt5 dev`, then use the printed Studio URL to inspect runs and traces.- After the quickstart works, propose deploy, evaluate, and integrate as the next tasks.
Windsurf
Create a workspace rule in .windsurf/rules/agnt5.md.
---trigger: always_on---# AGNT5 project instructions- AGNT5 is a durable runtime and observability platform for agentic workflows.- Use `agnt5 create --template <template> <project-name>` for new projects.- Prefer the Python template unless the user asks for TypeScript.- Run `agnt5 auth login` before cloud-backed CLI work.- Keep secrets in `.env`; never commit `.env`.- For model providers, use exactly one of `ANTHROPIC_API_KEY` or `OPENAI_API_KEY`.- Start local runs with `agnt5 dev`, then use the printed Studio URL to inspect runs and traces.- After the quickstart works, propose deploy, evaluate, and integrate as the next tasks.
Cline
Create a workspace rule in .clinerules/agnt5.md.
# AGNT5 project instructions- AGNT5 is a durable runtime and observability platform for agentic workflows.- Use `agnt5 create --template <template> <project-name>` for new projects.- Prefer the Python template unless the user asks for TypeScript.- Run `agnt5 auth login` before cloud-backed CLI work.- Keep secrets in `.env`; never commit `.env`.- For model providers, use exactly one of `ANTHROPIC_API_KEY` or `OPENAI_API_KEY`.- Start local runs with `agnt5 dev`, then use the printed Studio URL to inspect runs and traces.- After the quickstart works, propose deploy, evaluate, and integrate as the next tasks.
Copilot
Add this to .github/copilot-instructions.md in the target repo.
# AGNT5 project instructions- AGNT5 is a durable runtime and observability platform for agentic workflows.- Use `agnt5 create --template <template> <project-name>` for new projects.- Prefer the Python template unless the user asks for TypeScript.- Run `agnt5 auth login` before cloud-backed CLI work.- Keep secrets in `.env`; never commit `.env`.- For model providers, use exactly one of `ANTHROPIC_API_KEY` or `OPENAI_API_KEY`.- Start local runs with `agnt5 dev`, then use the printed Studio URL to inspect runs and traces.- After the quickstart works, propose deploy, evaluate, and integrate as the next tasks.
2. Give the agent a task
Pick the prompt that matches the work you want done. Each prompt tells the agent to use AGNT5 templates when they fit, ask before choosing a model provider, keep secrets out of git, and verify the result with agnt5 dev or the relevant docs path.
Run the Hacker News quickstart
Create the digest workflow, configure Anthropic or OpenAI, start the dev server, and inspect the trace.
Build from a template
Start with the closest AGNT5 template, then adapt it to the app you describe.
Add a webhook workflow
Create a workflow that starts from an external event source and records a trace.
Add human approval
Insert a durable approval checkpoint before a side effect runs.
Evaluate a workflow
Turn recent runs into a dataset, add scorers, and compare a prompt or model change.
Integrate an existing app
Connect an app event to AGNT5 and return a result the application can consume.
3. Review the result
Treat the coding agent as the driver, not the reviewer. Before you keep the generated code:
Check that .env is ignored and no API key appears in git.
Run the command the agent used, usually agnt5 dev for local verification.
Open the Studio URL and confirm the trace has the expected workflow steps.
Read the changed files and remove unused scaffolding.
Ask the agent to summarize deploy, evaluate, and integrate follow-ups.
Next steps
Once the agent has created a working workflow, move it through the same path as a manually built project.