본문으로 건너뛰기
cccskills
무료GitHub에 공개

pulumi-neo

Manages cloud infrastructure through natural language conversations with Pulumi Neo, an AI agent for platform engineers. Enables infrastructure analysis, resource provisioning, stack deployment, and configuration management via conversational AI. Use when creating Neo tasks, requesting infrastructure analysis, automating cloud deployments, managing infrastructure as code (IaC), provisioning AWS/Azure/GCP resources, managing infrastructure through natural language prompts, reviewing PRs with Neo, handling Neo approval workflows, or checking Neo task status and events. Also use when the user mentions "Pulumi Neo", "Neo task", "Neo agent", or wants AI-assisted infrastructure management.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(4)

  • SKILL.md7.2 KB
  • evals/evals.json1.6 KB
  • references/pulumi-neo-api.md7.4 KB
  • scripts/neo_task.py18.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Pulumi Neo Skill

Prerequisites

  • Pulumi Cloud account with Neo access
  • PULUMI_ACCESS_TOKEN environment variable set with your Personal Access Token
  • Organization: Required for all Neo API calls

Detecting Organization

# Get current Pulumi organization from CLI
pulumi org get-default

# If no default org or using self-managed backend, ask user for organization name

If pulumi org get-default returns an error or shows a non-cloud backend, prompt the user for their Pulumi Cloud organization name.

Quick Start

IMPORTANT: Always use --no-poll in Claude Code to prevent blocking.

Preferred: Python Script

python <skill-base-directory>/scripts/neo_task.py --org <org> --message "Your message" --no-poll

Alternative: Direct API

export PULUMI_ACCESS_TOKEN=<your-token>
TIMESTAMP=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
curl -s -X POST "https://api.pulumi.com/api/preview/agents/<org>/tasks" \
  -H "Authorization: token $PULUMI_ACCESS_TOKEN" \
  -H "Accept: application/vnd.pulumi+8" \
  -H "Content-Type: application/json" \
  -d "{\"message\":{\"type\":\"user_message\",\"content\":\"How many stacks do I have?\",\"timestamp\":\"$TIMESTAMP\",\"entity_diff\":{\"add\":[],\"remove\":[]}}}"

Fetch events: curl -s "https://api.pulumi.com/api/preview/agents/<org>/tasks/<task-id>/events" -H "Authorization: token $PULUMI_ACCESS_TOKEN" -H "Accept: application/vnd.pulumi+8" | jq '.events[-1].eventBody.content'

MCP Tools (if Pulumi MCP server is installed): mcp__pulumi__neo-bridge, mcp__pulumi__neo-get-tasks, mcp__pulumi__neo-continue-task

Using the Python Script

The script handles Neo task creation, polling, and management:

# Create a task and poll for updates (interactive/terminal use)
python scripts/neo_task.py --org <org-name> --message "Help me optimize my Pulumi stack"

# Create task without polling (CI/CD or programmatic use)
python scripts/neo_task.py --org <org-name> --message "Analyze this" --no-poll

# Create task with stack context
python scripts/neo_task.py --org <org-name> \
  --message "Analyze this stack" \
  --stack-name prod --stack-project my-infra --no-poll

# Create task with repository context
python scripts/neo_task.py --org <org-name> \
  --message "Review this infrastructure code" \
  --repo-name my-repo --repo-org my-github-org --no-poll

# List existing tasks
python scripts/neo_task.py --org <org-name> --list

# Fetch current events (single request, no polling)
python scripts/neo_task.py --org <org-name> --task-id <task-id> --get-events

# Poll an existing task for updates (interactive)
python scripts/neo_task.py --org <org-name> --task-id <task-id>

# Send approval for a pending request
python scripts/neo_task.py --org <org-name> --task-id <task-id> --approve

# Cancel a pending request
python scripts/neo_task.py --org <org-name> --task-id <task-id> --cancel

Neo Task Workflow

Creating Tasks

Tasks are created with a natural language message describing what you want Neo to do:

  • Infrastructure analysis: "Analyze my production stack for security issues"
  • Maintenance operations: "Help me upgrade my Kubernetes cluster"
  • Configuration changes: "Add monitoring to my Lambda functions"
  • Multi-step workflows: "Set up a complete CI/CD pipeline for this project"

Entity Context

Attach entities for context: stack (name + project), repository (name + org + forge), pull_request (number + merged + repository), policy_issue (id).

Task Status

StatusDescription
runningNeo is actively processing the task
idleTask is waiting for input or has finished processing

Note: Task completion and approval requests are determined by examining events, not task status.

Approval Flow

When Neo requires confirmation for an operation (this is a key concept — Neo never makes destructive changes without asking):

  1. Task status remains running or transitions to idle
  2. An agentResponse event contains tool_calls with an approval_request tool — this is the specific event structure to look for
  3. The approval_request_id is found in the tool call parameters
  4. User reviews the proposed changes
  5. Send approval via --approve or cancellation via --cancel

Detecting approvals: Check events for eventBody.tool_calls containing approval_request entries rather than relying on task status. The approval_request_id from the tool call parameters is needed to respond.

# Approve a pending request
python scripts/neo_task.py --org <org> --task-id <task-id> --approve

# Cancel/reject a pending request
python scripts/neo_task.py --org <org> --task-id <task-id> --cancel

Common Workflows

Analyze Infrastructure

python scripts/neo_task.py --org myorg \
  --message "What security improvements can I make to my AWS infrastructure?" \
  --stack-name prod --stack-project aws-infra --no-poll

Fix Policy Violations

python scripts/neo_task.py --org myorg \
  --message "Help me fix the policy violations in my production stack" --no-poll

Generate Pulumi Code

python scripts/neo_task.py --org myorg \
  --message "Create a new Pulumi TypeScript project for a containerized web app on AWS ECS" --no-poll

Review Pull Request

python scripts/neo_task.py --org myorg \
  --message "Review the infrastructure changes in this PR" \
  --repo-name infra --repo-org myorg --repo-forge github --no-poll

Troubleshooting

ErrorCauseSolution
401Invalid/missing tokenVerify with curl -s -H "Authorization: token $PULUMI_ACCESS_TOKEN" https://api.pulumi.com/api/user
404Wrong org or endpointVerify org with pulumi org get-default
409Task busyWait for current operation to complete
Script hangsMissing --no-pollKill with Ctrl+C, add --no-poll flag
Token not foundNot exportedRun export PULUMI_ACCESS_TOKEN="$PULUMI_ACCESS_TOKEN"

API Reference

Base URL: https://api.pulumi.com/api/preview/agents

EndpointMethodDescription
/{org}/tasksPOSTCreate task
/{org}/tasksGETList tasks
/{org}/tasks/{id}GETGet task
/{org}/tasks/{id}/eventsGETGet events
/{org}/tasks/{id}POSTSend message/approval

Required headers:

  • Authorization: token $PULUMI_ACCESS_TOKEN
  • Accept: application/vnd.pulumi+8
  • Content-Type: application/json

See references/pulumi-neo-api.md for full details.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Prepares Go applications to work effectively with AI coding agents. Use when setting up a new Go project or retrofitting an existing one to ensure: structured JSON logging (slog/Zap/ZeroLog/Logrus), machine-readable command output, thorough golangci-lint configuration, non-interactive CLI design with --yes flags, structured error handling with meaningful exit codes, proper context.Context propagation, graceful shutdown, health check endpoints, and a standardized Makefile. Triggers when a user asks to make their Go app "agent-ready," "AI-friendly," wants to improve agent tooling/observability in a Go project, or needs to audit an existing Go project against agent-readiness best practices.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dirien/yet-another-agent-harness202026년 5월 31일 업데이트

Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dirien/yet-another-agent-harness202026년 5월 31일 업데이트

Use when designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability. Use for system design, architecture review, microservices structuring, ADR authoring, scalability planning, and infrastructure pattern selection — distinct from code-level design patterns or database-only design tasks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dirien/yet-another-agent-harness202026년 5월 31일 업데이트

Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for parsing flags and subcommands, displaying progress bars and spinners, generating bash/zsh/fish completion scripts, CLI design, shell completions, and cross-platform terminal applications using commander, click, typer, or cobra.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dirien/yet-another-agent-harness202026년 5월 31일 업데이트

Convert an AWS CloudFormation stack or template to Pulumi. This skill MUST be loaded whenever a user requests migration or conversion of CloudFormation to Pulumi.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dirien/yet-another-agent-harness202026년 5월 31일 업데이트

Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull requests, conducting code quality audits, identifying refactoring opportunities, or checking for security issues. Invoke for PR reviews, code quality checks, refactoring suggestions, review code, code quality. Complements specialized skills (security-reviewer, test-master) by providing broad-scope review across correctness, performance, maintainability, and test coverage in a single pass.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

dirien/yet-another-agent-harness202026년 5월 31일 업데이트

dirien의 스킬 모두 보기

이 스킬의 문제 신고