Install
$ agentstack add skill-butterbase-ai-butterbase-skills-journey-docs ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Journey Docs Gate
A short, mechanical priming step. The goal is that every downstream stage starts with the relevant docs already in the conversation, so the model doesn't invent API shapes.
When to use
Invoke automatically after journey-preflight returns. Also invoke standalone (/butterbase-skills:journey-docs) any time the user changes the plan or you realize a stage is using a capability you haven't refreshed this session.
Procedure
- Read the plan. Open
docs/butterbase/02-plan.md. Identify every Butterbase capability in use (Tables → schema; RLS → auth; Auth → auth; Storage → storage; Functions → functions; AI → ai; RAG → rag; Realtime → realtime; Durable → functions; Frontend → frontend; Integrations → integrations; Substrate → substrate; Payments → billing).
- Call
butterbase_docsper topic. For each unique topic from step 1, callbutterbase_docswith thattopicargument. Skip duplicates.
- Write the cache file. Create
docs/butterbase/03b-docs-cache.mdwith this structure:
```markdown --- primed_at: topics: [] ---
# Docs Cache
##
URL: https://docs.butterbase.ai/
## ... ```
- Update
00-state.md. Tick thedocsrow.
- Return. One-line summary:
"Primed docs for: schema, auth, storage, functions. Cache at docs/butterbase/03b-docs-cache.md."
Anti-patterns
- ❌ Calling
butterbase_docswithtopic: "all". Burns context. Call once per relevant topic instead. - ❌ Skipping the cache file. Other stages re-read it; in-memory only doesn't survive context compression.
- ❌ Calling for topics not in the plan. We're priming, not exhaustive.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: butterbase-ai
- Source: butterbase-ai/butterbase-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.