quickstart▌
boshu2/agentops · updated Apr 8, 2026
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One job: Tell a new user what AgentOps does and what to do first. Fast.
/quickstart
One job: Tell a new user what AgentOps does and what to do first. Fast.
YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it.
Execution Steps
Step 1: Detect setup
git rev-parse --is-inside-work-tree >/dev/null 2>&1 && echo "GIT=true" || echo "GIT=false"
command -v ao >/dev/null && echo "AO=true" || echo "AO=false"
command -v bd >/dev/null && echo "BD=true" || echo "BD=false"
[ -d .agents ] && echo "AGENTS=true" || echo "AGENTS=false"
[ -n "${CODEX_THREAD_ID:-}" ] || [ "${CODEX_INTERNAL_ORIGINATOR_OVERRIDE:-}" = "Codex Desktop" ] && echo "CODEX=true" || echo "CODEX=false"
Step 2: Show what AgentOps does
Output exactly this (no additions, no diagrams):
AgentOps gives your coding agent three things it doesn't have by default:
Memory — sessions accumulate learnings in .agents/ and surface them back
Judgment — /council spawns independent judges to validate plans and code
Workflow — /rpi delegates /discovery → /crank → /validation in one command
Key skills: /rpi /discovery /validation /implement /research /council /swarm /status
Full reference: /quickstart --catalog
Step 3: One next action
Match the first row that applies. Output only that message — nothing else.
| Condition | Message |
|---|---|
| GIT=false | "⚠ Not in a git repo. Run git init first." |
| AO=false + CODEX=true | "📦 Install ao CLI first:\n brew tap boshu2/agentops https://github.com/boshu2/homebrew-agentops\n brew install agentops\n ao init && ao seed\n ao codex start\nThen: /rpi \"a small goal\" to run your first cycle." |
| AO=false | "📦 Install ao CLI first:\n brew tap boshu2/agentops https://github.com/boshu2/homebrew-agentops\n brew install agentops\n ao init --hooks && ao seed\nThen: /rpi \"a small goal\" to run your first cycle." |
| AGENTS=false + CODEX=true | "🌱 ao is installed but not initialized here.\n Run /bootstrap to set up GOALS.md, PRODUCT.md, .agents/, and hooks.\n Or manually: ao init && ao seed && ao codex start\nThen: /rpi \"a small goal\" to run your first cycle." |
| AGENTS=false | "🌱 ao is installed but not initialized here.\n Run /bootstrap to set up GOALS.md, PRODUCT.md, .agents/, and hooks.\n Or manually: ao init --hooks && ao seed\nThen: /rpi \"a small goal\" to run your first cycle." |
| BD=false + CODEX=true | "✅ Codex fallback ready.\n ao codex start — surface prior context and run safe maintenance\n /rpi \"your goal\" — full /discovery → /crank → /validation pipeline\n ao codex stop — close out the session and queue learnings\n Want issue tracking? brew install boshu2/agentops/beads && bd init --prefix <prefix>" |
| BD=false | "✅ Flywheel active. Start now:\n /rpi \"your goal\" — full /discovery → /crank → /validation pipeline\n /validation — close out recent work and capture learnings\n /research <topic> — explore the codebase\n Want issue tracking? brew install boshu2/agentops/beads && bd init --prefix <prefix>" |
| BD=true + CODEX=true | "✅ Codex full stack ready.\n ao codex start — start with prior context\n bd ready — see open work\n /rpi \"your goal\" — start a new goal from scratch\n ao codex stop — close out the session cleanly" |
| BD=true | "✅ Full stack ready.\n bd ready — see open work\n /rpi \"your goal\" — start a new goal from scratch\n /status — see current session state" |
Starting a new project? Run /scaffold <language> <name> to generate project structure with best practices.
Examples
First-Time Setup
User says: /quickstart
What happens: Agent detects tools, shows one-line status, gives the single next action to run.
Already Set Up
User says: /quickstart
What happens: Agent detects full stack is ready and suggests /rpi "your goal" or bd ready.
Troubleshooting
| Problem | Solution |
|---|---|
| Skills not installed | bash <(curl -fsSL https://raw.githubusercontent.com/boshu2/agentops/main/scripts/install.sh) |
| Codex has no startup/session-end hooks | Use ao codex start to begin and ao codex stop to close out; ao codex status shows hookless lifecycle health |
| Flywheel count is 0 | First session — run /rpi "a small goal" to start it |
| Want the full skill catalog | Ask: "show me all the skills" or see references/full-catalog.md |
Reference Documents
See Also
- scaffold — Project scaffolding and component generation
How to use quickstart on Cursor
AI-first code editor with Composer
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 quickstart
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches quickstart from GitHub repository boshu2/agentops and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate quickstart. Access the skill through slash commands (e.g., /quickstart) 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.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★55 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Solid pick for teams standardizing on skills: quickstart is focused, and the summary matches what you get after install.
- ★★★★★Xiao Singh· Dec 20, 2024
Useful defaults in quickstart — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Omar Farah· Dec 16, 2024
quickstart is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Min Dixit· Dec 12, 2024
I recommend quickstart for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Lucas Flores· Dec 4, 2024
quickstart has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Hana White· Nov 23, 2024
quickstart fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Rahul Santra· Nov 19, 2024
We added quickstart from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noor Kim· Nov 11, 2024
quickstart is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Olivia Iyer· Nov 7, 2024
quickstart reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Arjun Haddad· Nov 7, 2024
Useful defaults in quickstart — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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