dinobasehq/dinobase/openclaw
Claude Code and agent skill by dinobasehq/dinobase
- community
Checking that the SKILL.md file is still in the repository.
Set up and query business data across 100+ sources (Stripe, HubSpot, Salesforce, etc.) via SQL. Agent-driven setup, cross-source joins, mutations.
Install
npx vskill@latest install dinobasehq/dinobase/openclawSKILL.md
Dinobase
Dinobase is an agent-first database. It syncs data from 100+ SaaS APIs, databases, and files into a SQL database (DuckDB). You query across all sources with standard SQL.
When to use
- Setting up data connections for a user (first time or adding new sources)
- Answering questions that span multiple business tools (CRM + billing + support)
- Querying synced business data via SQL (Stripe, HubSpot, Salesforce, GitHub, etc.)
- Cross-source joins and aggregations (e.g., customers with overdue invoices AND open tickets)
- Writing data back to sources (UPDATE/INSERT with preview + confirm)
When NOT to use
- Real-time API calls to a single service (use the service's API directly)
- File system operations or general shell tasks
- Data that hasn't been added to Dinobase yet (check with
dinobase statusfirst)
Setup (agent-driven)
You can fully set up Dinobase for the user. It runs entirely locally — no account required.
Step 1: Check existing state
This shows any sources that are already configured. If Dinobase isn't initialized yet, proceed with setup below.
Step 2: Set up locally
This initializes a local Dinobase database. Everything works locally — connecting sources, syncing, and querying.
Step 3: Discover what the user needs
Ask the user what tools and data sources they use. Then check what's available:
This returns JSON with full metadata per source:
Step 4: Connect sources
For each source the user wants, connect it with an API key:
- Check
credential_helpfrom the sources list - Tell the user where to find the key
- Run:
Example:
Step 5: Sync data
This runs the sync directly. Check status:
Step 6: Verify
Confirm that sources appear with non-zero table and row counts.
Workflow (querying data)
Always follow this sequence when answering data questions:
- Run
dinobase infoto see what sources and tables exist - Run
dinobase describe <schema>.<table>on relevant tables to see columns, types, and sample data - Write SQL and run it with
dinobase query "<sql>" - If the query returns a mutation preview, ask the user before running
dinobase confirm <mutation_id>
Commands
All commands output JSON by default (machine-readable). Add --pretty for human-readable output.
Connect sources
Discover data
Query data
Cross-source queries
Join across sources using shared columns (email, company name, IDs):
Mutations (write-back)
UPDATE and INSERT queries return a preview first. Nothing executes until confirmed.
Keep data fresh
Tips
- Tables are always referenced as
schema.table(e.g.,stripe.customers,hubspot.contacts) - Use
describebefore writing queries to find correct column names and types - DuckDB SQL dialect: supports
ILIKE,LIST,STRUCT,regexp_matches(), date functions - JSON output is default; only use
--prettywhen showing results directly to the user - If data seems stale, check
dinobase statusfor freshness info and rundinobase refresh <source> - Cross-source joins work via shared columns — use
describeon both tables to find join keys - For new users: start with
dinobase initand API key auth
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingintegrations/openclaw/SKILL.md
Popularity
- Repository stars
- 262
- Repository forks
- 13
- 7-day trend score
- 28
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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