ops-dashboard
Gather operational signals (disk usage, git status, recent commits, and resources) so you can answer "How is the Clawdy infrastructure doing?" without manually running multiple checks.
Best use case
ops-dashboard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Gather operational signals (disk usage, git status, recent commits, and resources) so you can answer "How is the Clawdy infrastructure doing?" without manually running multiple checks.
Teams using ops-dashboard should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ops-dashboard/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ops-dashboard Compares
| Feature / Agent | ops-dashboard | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Gather operational signals (disk usage, git status, recent commits, and resources) so you can answer "How is the Clawdy infrastructure doing?" without manually running multiple checks.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Ops Dashboard ## Overview `ops-dashboard` exposes a single CLI (`scripts/ops_dashboard.py`) that prints a snapshot of: - Workspace disk usage (total vs. free) and storage availability. - Git status and the latest commits for the current branch. - System load averages plus the top-level directory sizes so you know where data is accumulating. Use this skill whenever you need to check health before deployments, push updates, or support teammates struggling with a slow workspace. ## CLI usage - `python3 skills/ops-dashboard/scripts/ops_dashboard.py --show summary` prints disk usage, git status, and top directories. - `--show resources` adds load averages and a break-down of recent git commits with author/summary. - `--workspace /path/to/workspace` lets you point the tool at another clone or repo. - `--output json` emits the same report as JSON so other scripts can consume it. ## Metrics explained - **Disk usage:** Reports `df` results for `/`, `/mnt/ramdisk`, and any other mounted tiers in the workspace. - **Git status:** Shows whether the current branch is clean, lists staged/unstaged files, and prints the last three commits with sha/author. - **Load averages:** Captures the 1/5/15 minute loads so you can correlate slowdowns with heavy resource usage. - **Directory sizes:** Highlights the three largest directories inside the workspace root so you can spot growth vectors. ## Sample command ```bash python3 skills/ops-dashboard/scripts/ops_dashboard.py --show summary --workspace /path/to/workspace (or omit to use the current directory) ``` This command displays the basic health story for the current repo, including git status and disk usage, before you start a risky task. ## References - `references/ops-dashboard.md` explains the meaning of each metric and how to interpret alerts like high disk usage or stale branches. ## Resources - **GitHub:** https://github.com/CrimsonDevil333333/ops-dashboard - **ClawHub:** https://www.clawhub.ai/skills/ops-dashboard
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