Univer Skill enables AI tools to work directly with spreadsheets, Excel workbooks, and CSV files. Powered by Univer CLI, it brings Git-style diffs, reviews, approvals, and rollbacks to spreadsheet workflows — making human-AI collaboration structured, reviewable, and safe.
Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + OpenAI Agents + Cursor
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add dream-num/skills
Maintenance
fresh
14d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
50
74/100 quality · 76/100 trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
50 GitHub stars
Repo activity
50 stars, 3 forks
Maintenance
14d since push
License
Apache-2.0
Install
npx skills add dream-num/skills
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add dream-num/skillsAgent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/dream-num-skills/install
Agent should check
Copy prompt
Task: Use Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/dream-num-skills/install
Install command: npx skills add dream-num/skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/dream-num-skills/install
LLM text format
/api/skills/dream-num-skills/install?format=text
Find alternatives
/api/skills/search?q=Skills&limit=3
Agent prompt
Use Skills for this task. Review https://www.openagentskill.com/api/skills/dream-num-skills/install, then install with: npx skills add dream-num/skillsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/dream-num-skills
LLM text
/api/registry/manifest/dream-num-skills?format=text
Install alias
/api/registry/install/dream-num-skills
Recommend
/api/registry/recommend?task=Use%20Skills%20in%20an%20agent%20workflow&limit=3
Agent fit
Workflow automation
Use-case tags
Platforms
JavaScript, Claude Code, OpenAI Agents, Cursor
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Workflow automation
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK50 GitHub stars
Stars/forks activity
CHECK50 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS14d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Operate local tools
I need my agent to operate local files and desktop apps in a repeatable workflow.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Stack fit
Turn skills into distribution
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
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# Official Univer CLI Skill for Workbook Automation
   
Languages: [English](./README.md) | [简体中文](./README.zh-CN.md)
Official Univer product skill for workbook automation across Claude Code, Codex, and Cursor. Start from [univer.ai](https://univer.ai).
This repository exposes one canonical product skill:
- [`univer-cli`](./skills/univer-cli/SKILL.md): public `univer` CLI and SaC capability guidance for `.univer` targets, workbook evidence, managed inspect tools, migration packs, verification, preview, worktrees, import, export, and handoff.
## Highlights
- **A spreadsheet engine in your terminal** Drive workbook semantics through the public `univer` CLI: formulas, formatting, conditional formatting, charts, shapes, layout, import/export, and preview.
- **Evidence-first workbook work** Use managed inspect tools, readonly probes, view, verify, and export/readback to understand and prove workbook-visible state.
- **Source-backed durable changes** Use SaC sidecars, Facade Migration Packs, templates, apply, rollback, and verify for repeatable workbook behavior.
- **Excel-compatible handoff** Import and export `.xlsx` files while agents work against structured `.univer` workbook state.
## Why One Skill
`univer-cli` is a product skill, not an agent workflow package. It explains the Univer CLI and SaC public surfaces, evidence boundaries, and best practices. Agents can use any planning method chosen by their runtime or user.
The skill uses progressive disclosure:
- `skills/univer-cli/SKILL.md` is the only required entry point. - `skills/univer-cli/references/` contains longer capability notes and checked recipes. - `skills/univer-cli/inspect-
Frameworks & Tools
Decision snapshot
recent repository activity
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for Skills, ready for a manual X post.
The useful research skills are not search wrappers. They help agents keep sources attached. Skills helps agents turn docs, data, or knowledge bases into grounded work. 50 stars https://www.openagentskill.com/skills/dream-num-skills?ref=x #AIAgents
Listing + install path for Skills: https://www.openagentskill.com/skills/dream-num-skills?ref=x Install: npx skills add dream-num/skills
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This community indexed listing is attributed to dream-num but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/dream-num-skills)
[](https://www.openagentskill.com/skills/dream-num-skills)
[](https://www.openagentskill.com/skills/dream-num-skills/audit)
[](https://www.openagentskill.com/skills/dream-num-skills)dream-num
@dream-num
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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