Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Build and maintain Convex backends with schema-safe modeling, query and mutation patterns, auth guards, and production rollout checks.
Build and maintain Convex backends with schema-safe modeling, query and mutation patterns, auth guards, and production rollout checks.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
On first use, read setup.md for integration guidelines.
User is building, debugging, or scaling a Convex backend and needs reliable patterns for data modeling, queries, mutations, actions, auth, and deployments. This skill focuses on implementation quality and operational safety, not generic framework tutorials.
Memory lives in ~/convex/. See memory-template.md for structure and status fields. ~/convex/ |- memory.md # Durable project context and technical decisions |- schema-notes.md # Table design and index rationale |- rollout-notes.md # Deploy and incident learnings `- auth-notes.md # Auth model and permission edge cases
Use the smallest relevant file for the current task. TopicFileSetup flowsetup.mdMemory templatememory-template.mdSchema and indexesschema-and-indexes.mdDeploy and operationsoperations-playbook.md
No API keys or external credentials are required by this skill itself. TOKEN/KEY: Not required by this skill. If a project uses third-party integrations, treat those credentials as user-managed secrets and never persist raw values in memory files.
This skill stores reusable context only under ~/convex/: memory file for durable project context and decisions schema notes for modeling and index rationale rollout notes for deployment and incident lessons auth notes for permission and boundary edge cases Do not store secrets, access tokens, or personal data unless the user explicitly requests it.
Define tables and indexes from real read paths first: Which fields are filtered most often Which sort order is needed Which uniqueness guarantees are required Do not rely on table scans in production paths.
Use each function type for its intended purpose: Query: read-only and deterministic Mutation: validated state changes Action: external side effects and network calls Do not mix external calls inside deterministic data paths.
Treat every query, mutation, action, and HTTP entrypoint as untrusted input: Resolve identity explicitly Check workspace or tenant boundaries Validate ownership before returning or mutating records Never trust client-provided identifiers without server checks.
Create indexes that match long-term product workflows: Primary user lookup paths Admin and backoffice paths Background processing queues Document index intent so future changes do not break critical queries.
For webhooks and external callbacks: Use stable idempotency keys Upsert safely when replayed Record processing status A retry should not create duplicate side effects.
Before deploying schema or logic changes: Verify backward compatibility for current clients Prepare migration steps for renamed fields or tables Confirm failure mode and rollback path Never deploy unreviewed breaking data changes.
When fixing incidents: Capture a minimal reproduction query Keep structured logs around actor, function, and record ids Record final root cause and preventive rule in memory Fast diagnosis compounds over time.
Building schema from entities only, not query paths -> slow reads and rework. Putting network side effects in deterministic logic -> nondeterministic failures. Treating auth as a UI concern -> cross-tenant data leaks. Adding indexes reactively during outages -> unstable rollout under pressure. Shipping breaking schema changes without migration staging -> runtime failures. Ignoring idempotency for callbacks -> duplicate writes and billing errors.
Data that leaves your machine: None by default from this skill itself. Data that stays local: Convex project context and decisions under ~/convex/. This skill does NOT: Automatically call external services. Manage or store secrets outside user-approved files. Apply destructive schema changes without explicit confirmation. Modify files outside ~/convex/ for memory.
Install with clawhub install <slug> if user confirms: backend - Service architecture and operational reliability patterns. typescript - Type-safe design and implementation for app and backend code. javascript - Runtime behavior and language-level debugging workflows.
If useful: clawhub star convex Stay updated: clawhub sync
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.