/standup
Digest of what your Superset agents did — sweeps workspaces, tasks, and agent terminals, then reports what finished, what needs review, and what's blocked. Use when the user asks what their agents did, wants a standup or summary of agent work, or returns after being away.
$ npx -y skills add superset-sh/superset --skill standup --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/standup
Context preview
The summary Claude sees to decide when to auto-load this skill.
Digest of what your Superset agents did — sweeps workspaces, tasks, and agent terminals, then reports what finished, what needs review, and what's blocked. Use when the user asks what their agents did, wants a standup or summary of agent work, or returns after being away.
SKILL.md
standup.SKILL.mdname: standup
description: Digest of what your Superset agents did — sweeps workspaces, tasks, and agent terminals, then reports what finished, what needs review, and what's blocked. Use when the user asks what their agents did, wants a standup or summary of agent work, or returns after being away.
argument-hint: optional timeframe or project
Superset Standup
Answer "what happened while I was away?" from real state, not guesses. Entirely read-only.
1. Sweep (parallel, prefer --json)
- `superset workspaces list` — active workspaces
- `superset tasks list` — task states
- Per active workspace: `superset terminals list --workspace <id>`, then `superset terminals read --workspace <id> --terminal <terminalId>` for each agent terminal — the last screen of output shows whether the agent finished, asked a question, or errored
2. Classify each workspace
- **Needs you**: agent finished and awaits review, asked a question, or hit a permission prompt / failure
- **In flight**: actively working
- **Blocked**: waiting on something external
- **Stale**: idle with no pending work — candidate for cleanup
3. Report
Lead with what needs the user, one line per item: workspace, agent, state, and the next action. Then in-flight, then completed, then stale-workspace cleanup suggestions. Keep the whole digest scannable — no terminal dumps; quote at most the single relevant line an agent printed.
Rules
Never send input to a terminal, modify tasks, or clean anything up as part of the digest — offer those as follow-ups and act only when asked.
Read more
name: standup description: Digest of what your Superset agents did — sweeps workspaces, tasks, and agent terminals, then reports what finished, what needs review, and what's blocked. Use when the user asks what their agents did, wants a standup or summary of agent work, or returns after being away. argument-hint: optional timeframe or project
Superset Standup
Answer "what happened while I was away?" from real state, not guesses. Entirely read-only.
1. Sweep (parallel, prefer --json)
- `superset workspaces list` — active workspaces
- `superset tasks list` — task states
- Per active workspace: `superset terminals list --workspace <id>`, then `superset terminals read --workspace <id> --terminal <terminalId>` for each agent terminal — the last screen of output shows whether the agent finished, asked a question, or errored
2. Classify each workspace
- **Needs you**: agent finished and awaits review, asked a question, or hit a permission prompt / failure
- **In flight**: actively working
- **Blocked**: waiting on something external
- **Stale**: idle with no pending work — candidate for cleanup
3. Report
Lead with what needs the user, one line per item: workspace, agent, state, and the next action. Then in-flight, then completed, then stale-workspace cleanup suggestions. Keep the whole digest scannable — no terminal dumps; quote at most the single relevant line an agent printed.
Rules
Never send input to a terminal, modify tasks, or clean anything up as part of the digest — offer those as follow-ups and act only when asked.
Code Editor for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine
Other skills on superset.
- /10x
Personalized audit that teaches advanced Superset features the user isn't using yet — automations, parallel agents, tasks, multi-host, terminals, custom commands, MCP. Use when the user wants to get more out of Superset, learn advanced Superset features, or 10x their Superset
Open skill - /automate
Turn a recurring chore into a Superset automation — drafts the agent prompt, confirms schedule and target, creates it with the CLI, and reviews the first run together. Use when the user wants a scheduled or recurring agent, a daily/weekly job, or to automate a repeating task
Open skill - /contribute
Set up a Superset open-source contribution — fork and clone superset-sh/superset, run local dev setup, and follow the repo's contribution rules through to a merge-ready PR. Use when the user wants to contribute to Superset, fix a Superset bug themselves, or prepare a PR against
Open skill - /doctor
Diagnose and fix Superset problems — connection failures, offline hosts, terminals not attaching, auth or update issues. Use when the user reports something broken or misbehaving in Superset itself, before filing feedback.
Open skill - /feedback
Collect and submit feedback about Superset — bug reports, feature requests, or general feedback — privately to the Superset team or as a public GitHub issue. Use when the user wants to report a Superset bug, request a feature, or send feedback about Superset.
Open skill - /orchestrate
Coordinate multiple terminal coding agents through the Superset CLI by creating isolated workspaces, launching workers, sending follow-ups, reading terminal output, tracking dependencies, and collecting structured results. Use when asked to delegate or parallelize coding work,
Open skill

