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- 2026년 2월 4일 23:27
- 감지된 SKILL.md 언어
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설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/bholmesdev/warp-agent-skills --skill warp명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
| name | warp |
| description | Use Warp's REST API and command line to run, configure, and inspect Warp cloud agents |
Use the Warp REST API and CLI to:
The Warp CLI is installed as warp. To get help output, use warp help or warp help <subcommand>. Prefer --output-format text to review the response, or --output-format json to parse fields with jq. You can find more information at https://docs.warp.dev/platform/cli.
The most important commands are:
warp agent run-cloud: Spawn a new cloud agent. You can configure the prompt, model, environment, and other settings.warp run list and warp run get <run-id>: List all cloud agent runs, and get details about a particular run. This includes the session link to view that session in the cloud.warp environment list and warp environment get: List available environments, and get more information about a particular environment.warp schedule list and warp schedule get: List scheduled tasks with most recent runs, and get more information about a particular scheduled run.Most subcommands support the --output-format json flag to produce JSON output, which you can pipe into jq or other commands.
Start a cloud agent, and then monitor its status:
$ warp agent run-cloud --prompt "Update the login error to be more specific" --environment UA17BXYZ
# ...
Spawned agent with run ID: 5972cca4-a410-42af-930a-e56bc23e07ac
$ warp run get 5972cca4-a410-42af-930a-e56bc23e07ac
# ...
Schedule an agent to summarize feedback every day at 8am UTC:
$ warp schedule create --cron "0 8 * * *" \
--prompt "Collect all feedback from new GitHub issues and provide a summary report" \
--environment UA17BXYZ
Create a secret for cloud agents to use:
$ warp secret create JIRA_API_KEY --team --value-file jira_key.txt --description "API key to access Jira"
Warp has a REST API for starting and inspecting cloud agents.
All API requests require authentication using an API key. The user can generate API keys in their Warp settings, on the Platform page (accessible via {{warp_url_scheme}}://settings/platform).
You can find the full OpenAPI specification here: https://docs.warp.dev/platform/agent-api-and-sdk/agent.md
In addition, there are SDKs for:
All SDKs have sync and async support, and documentation at the links above.
curl -L -X POST {{warp_server_url}}/api/v1/agent/run \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--data '{
"prompt": "Update the login error to be more specific",
"config": {
"environment_id": "UA17BXYZ"
}
}'
curl -L -X GET {{warp_server_url}}/api/v1/agent/runs/5972cca4-a410-42af-930a-e56bc23e07ac \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json'
You can trigger Warp cloud agents from GitHub Actions workflows. This enables automation like:
Use warpdotdev/warp-agent-action@v1 in your workflow. Required inputs:
prompt: The task description for the agentwarp_api_key: API key (store in GitHub secrets, e.g., ${{ secrets.WARP_API_KEY }})profile: Optional agent profile identifier (can use repo variable, e.g., ${{ vars.WARP_AGENT_PROFILE || '' }})The action outputs agent_output with the agent's response.
name: Run Warp Agent
on:
issues:
types: [opened, labeled]
jobs:
agent:
runs-on: ubuntu-latest
permissions:
contents: write
issues: write
pull-requests: write
steps:
- uses: actions/checkout@v4
- uses: warpdotdev/warp-agent-action@v1
id: agent
with:
prompt: |
Analyze the GitHub issue and provide a summary.
Issue: ${{ github.event.issue.title }}
${{ github.event.issue.body }}
warp_api_key: ${{ secrets.WARP_API_KEY }}
profile: ${{ vars.WARP_AGENT_PROFILE || '' }}
- name: Use Agent Output
run: echo "${{ steps.agent.outputs.agent_output }}"
Conditional steps: Use if: steps.agent.outputs.agent_output to branch on agent results.
Templating: Use actions/github-script@v7 to construct dynamic prompts from issue templates, repo context, or code.
Error handling: Check action success with if: success() or if: failure().
Git operations: The action runs with checked-out code and Git credentials, so agents can commit and push changes.
All cloud agents run in an environment. The environment defines:
npm install or cargo fetchYou should almost always run cloud agents in an environment. Otherwise, they may not have the necessary code or tools available.
Cloud agents run in a sandbox, so they can install additional programs into their environment. They also have Git credentials to create PRs and push branches.
Cloud environments DO NOT store secret values, like API keys. Use the warp secret commands instead.
For detailed guidance on creating environments with warp environment create, see create-environment.md. This includes: