Agent Skills: pocketbase-best-practices
PocketBase development best practices covering collection design, API rules, authentication, SDK usage, query optimization, realtime subscriptions, file handling, deployment, and server-side extending (Go + JSVM). Current as of PocketBase v0.40 and JS SDK v0.28. Use when building PocketBase backends, designing schemas, implementing access control, setting up auth flows, or optimizing performance.
ID: greendesertsnow/pocketbase-skills/pocketbase-best-practices
12
Install this agent skill to your local
Skill Files
The files that make up pocketbase-best-practices.
More agent skills
- agentica-promptsWrite reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
- planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.
- triageFind worthwhile FastMCP issues to work on in a backlog or release window, verify promising candidates, and present concrete picks with existing PR links.
- maintenanceFile cleanup and archiving. Tidies up bloated Plans.md, session-log.md, old logs, and state files. Trigger: /maintenance, cleanup, archive, organize, split session-log. Do NOT load for: implementation, review, release, new feature development.
- apify-sdk-patterns'Production-ready patterns for Apify SDK and apify-client in TypeScript.
- baoyu-image-genAI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.