Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
External network access
Connects to servers outside your machine
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Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
AI specialists for every role at your company.
Sales preps calls. Engineers ship PRs. Finance closes the month. Marketing ships campaigns. Each role gets Claude tuned to their work and connected to their real tools (HubSpot, Slack, Snowflake, Notion, Linear).
pace.tools · Cookbook · Docs · Catalog
Pace is a curated bundle of AI agents you install into Cowork (the Claude desktop app) or Claude Code (the CLI). One agent per role, each one fluent in that role's vocabulary and connected to the SaaS tools the team already uses.
/pace router for the commands that are specific to your
company. /pace teach captures how your team actually works once;
everything else builds on it.For front-end code-level design, Pace defers to impeccable; the installer offers to bring it.
Open Cowork → Plugins → Add marketplace → paste:
GoldenBerry-SO/Pace
Then install whichever plugin matches your role: sales, marketing,
engineering, data, finance, ...
claude plugin marketplace add GoldenBerry-SO/Pace
claude plugin install sales@pace
Or use the guided picker:
npx pace-tools install
Just describe what you need. The skills auto-trigger from natural language; you don't need to remember commands.
Prep me for the Acme call tomorrow.
> sales / call-prep fires, pulls HubSpot history + recent news, drafts the brief.
Write a SQL query for monthly active users by plan tier, last 6 months.
> data / write-query takes over, drafts the query, runs it against Snowflake if connected.
Review this PR. Look for real bugs first.
> engineering / code-review takes the PR, reads the diff, posts comments.
For your team's own commands, use the /pace router:
/pace teach # one-time: capture how your company works
/pace standup # then: anything you've authored as a /pace:* command
The engineering plugin includes 34 engineering skills. Beyond the obvious
review/test/diagnose ones, there's a disciplined stacked-PR
workflow: spec → implement → review → topr → next. See
the engineering cookbook
for the deep-dive.
pace.tools/
├── skill/ ← the /pace router (your team's commands)
├── plugins/ ← the 50-plugin catalog
│ ├── sales/ ← Anthropic-authored, imported verbatim
│ ├── engineering/ ← Anthropic + PiXeL16/skills + authored
│ ├── ...
│ └── partner-built/ ← Apollo, Common Room, Slack, etc.
├── .claude-plugin/
│ └── marketplace.json ← registers all 50 plugins
├── site/ ← pace.tools (Astro)
├── cli/ ← npx pace-tools CLI
└── NOTICE.md ← full attribution
Pace is open source, fork it, rename the router, write commands specific to your operation. We also help companies adopt Pace end-to-end: install + connector setup, command authoring tuned to your team's workflows, training, and ongoing enablement.
Talk to GoldenBerry · About GoldenBerry
See NOTICE.md for full attribution. Apache 2.0 throughout.
Company-wide skills for AI coding agents. One router (/pace), many commands across engineering, product, ops, marketing. Built on the same install tech as impeccable.
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Create, customize, and manage plugins tailored to your organization's tools and workflows. Configure MCP servers, adjust plugin behavior, and adapt templates to match how your team works.
Company-wide skills for AI coding agents. One router (/pace), many commands across engineering, product, ops, marketing. Built on the same install tech as impeccable.
npx claudepluginhub goldenberry-so/pace --plugin dataWrite SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
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