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managing-astro-local-env▌

astronomer/agents · updated Apr 8, 2026

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$npx skills add https://github.com/astronomer/agents --skill managing-astro-local-env
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summary

Manage local Airflow development environment with Astro CLI commands.

  • ›Start, stop, restart, and kill local Airflow containers; default credentials are admin/admin with webserver at http://localhost:8080
  • ›View logs for all components or specific services (scheduler, webserver) with real-time follow option
  • ›Access container shells and run Airflow CLI commands directly via astro dev bash and astro dev run
  • ›Troubleshoot common issues including port conflicts, startup failures, package er
skill.md

Astro Local Environment

This skill helps you manage your local Airflow environment using the Astro CLI.

To set up a new project, see the setting-up-astro-project skill. When Airflow is running, use MCP tools from authoring-dags and testing-dags skills.

Start / Stop / Restart

# Start local Airflow (webserver at http://localhost:8080)
astro dev start

# Stop containers (preserves data)
astro dev stop

# Kill and remove volumes (clean slate)
astro dev kill

# Restart all containers
astro dev restart

# Restart specific component
astro dev restart --scheduler
astro dev restart --webserver

Default credentials: admin / admin

Restart after modifying: requirements.txt, packages.txt, Dockerfile

Check Status

astro dev ps

View Logs

# All logs
astro dev logs

# Specific component
astro dev logs --scheduler
astro dev logs --webserver

# Follow in real-time
astro dev logs -f

Access Container Shell

# Bash into scheduler container
astro dev bash

# Run Airflow CLI commands
astro dev run airflow info
astro dev run airflow dags list

Troubleshooting

Issue Solution
Port 8080 in use Stop other containers or edit .astro/config.yaml
Container won't start astro dev kill then astro dev start
Package install failed Check requirements.txt syntax
DAG not appearing Run astro dev parse to check for import errors
Out of disk space docker system prune

Reset Environment

When things are broken:

astro dev kill
astro dev start

Upgrade Airflow

Test compatibility first

astro dev upgrade-test

Change version

  1. Edit Dockerfile:

    FROM quay.io/astronomer/astro-runtime:13.0.0

  2. Restart:

    astro dev kill && astro dev start

Related Skills

  • setting-up-astro-project: Initialize projects and configure dependencies
  • authoring-dags: Write DAGs (uses MCP tools, requires running Airflow)
  • testing-dags: Test DAGs (uses MCP tools, requires running Airflow)
  • deploying-airflow: Deploy DAGs to production (Astro, Docker Compose, Kubernetes)
how to use managing-astro-local-env

How to use managing-astro-local-env on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add managing-astro-local-env
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/astronomer/agents --skill managing-astro-local-env

The skills CLI fetches managing-astro-local-env from GitHub repository astronomer/agents and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/managing-astro-local-env

Reload or restart Cursor to activate managing-astro-local-env. Access the skill through slash commands (e.g., /managing-astro-local-env) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

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Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.7★★★★★74 reviews
  • ★★★★★James Chen· Dec 28, 2024

    managing-astro-local-env fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Ira Jackson· Dec 28, 2024

    managing-astro-local-env is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Pratham Ware· Dec 24, 2024

    managing-astro-local-env has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Ama Shah· Dec 20, 2024

    I recommend managing-astro-local-env for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Mia Nasser· Dec 20, 2024

    Useful defaults in managing-astro-local-env — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Arjun Martin· Dec 8, 2024

    Solid pick for teams standardizing on skills: managing-astro-local-env is focused, and the summary matches what you get after install.

  • ★★★★★James Khan· Nov 27, 2024

    managing-astro-local-env has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Ishan Srinivasan· Nov 19, 2024

    managing-astro-local-env reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Arya Chawla· Nov 19, 2024

    Registry listing for managing-astro-local-env matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Emma Choi· Nov 19, 2024

    Keeps context tight: managing-astro-local-env is the kind of skill you can hand to a new teammate without a long onboarding doc.

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