Here are your five OpenClaw skills.
Install any of them with a single curl command. Each script drops a SKILL.md into ~/.claude/skills/ — Claude Code and KiloClaw pick it up automatically. Install commands also sent to your inbox.
MIT license · Claude Code & KiloClaw · No new servers
Which agent should you deploy first?
Pick the one that matches your biggest current pain — not the most interesting one, not the newest tech. Installing all five on day one is the fastest way to burn out and trust nothing.
2-minute install, works immediately. Surfaces what needs your eyes right now: blockers, new comments, stale tickets.
Weekly audit of focus time vs meeting load. Needs only Google Calendar. Generates 3 calendar-actionable moves.
First pass in 30 seconds instead of 40 minutes. Works with GitHub or GitLab. Human review focuses on the hard parts.
One query across Jira, Notion, Slack, Gmail, Obsidian. Surfaces full decision trail, not just keyword matches.
AI audit of your Metabase: duplicate dashboards, unused cards, expensive queries. 90 seconds to a ranked cleanup plan.
These skills also run inside Kilo Code — via KiloClaw.
KiloClaw is the OpenClaw runtime for Kilo Code. Install a skill once — it works in both Claude Code and KiloClaw. No extra config. Same SKILL.md, same curl command, same result.
Try Kilo Code free
Don't install all five. Start with one.
Installing all five on day one is the fastest way to trust nothing. Pick the skill that matches your biggest current pain, use it for a week, then move to the next.
Use the decision matrix to match your pain to the right skill. The fastest win is Jira Attention — 2 minutes, works immediately.
Copy the command above, paste into your terminal. The script installs the SKILL.md and, if needed, writes a config file with your credentials.
Open Claude Code or KiloClaw and say "run jira attention" (or whichever skill you installed). The skill loads automatically on next session.
Deploying in a messy production environment is what I do.
If these templates don't fit your exact problem — or you want help getting them into a real production stack — that's a Valiotti Analytics engagement. Fractional CDO, AI-agent deployments, data infrastructure.
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