feat: add reminders page, BMad skills upgrade, MCP server refactor

- Add reminders page with navigation support
- Upgrade BMad builder module to skills-based architecture
- Refactor MCP server: extract tools and auth into separate modules
- Add connections cache, custom AI provider support
- Update prisma schema and generated client
- Various UI/UX improvements and i18n updates
- Add service worker for PWA support

Made-with: Cursor

.opencode/skills/bmad-agent-builder/references/quality-dimensions.md

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+# Quality Dimensions — Quick Reference
+
+Seven dimensions to keep in mind when building agent skills. The quality scanners check these automatically during quality analysis — this is a mental checklist for the build phase.
+
+## 1. Outcome-Driven Design
+
+Describe what each capability achieves, not how to do it step by step. The agent's persona context (identity, communication style, principles) informs HOW — capability prompts just need the WHAT.
+
+- **The test:** Would removing this instruction cause the agent to produce a worse outcome? If the agent would do it anyway given its persona and the desired outcome, the instruction is noise.
+- **Pruning:** If a capability prompt teaches the LLM something it already knows — or repeats guidance already in the agent's identity/style — cut it.
+- **When procedure IS value:** Exact script invocations, specific file paths, API calls, security-critical operations. These need low freedom.
+
+## 2. Informed Autonomy
+
+The executing agent needs enough context to make judgment calls when situations don't match the script. The Overview section establishes this: domain framing, theory of mind, design rationale.
+
+- Simple agents with 1-2 capabilities need minimal context
+- Agents with memory, autonomous mode, or complex capabilities need domain understanding, user perspective, and rationale for non-obvious choices
+- When in doubt, explain *why* — an agent that understands the mission improvises better than one following blind steps
+
+## 3. Intelligence Placement
+
+Scripts handle plumbing (fetch, transform, validate). Prompts handle judgment (interpret, classify, decide).
+
+**Test:** If a script contains an `if` that decides what content *means*, intelligence has leaked.
+
+**Reverse test:** If a prompt validates structure, counts items, parses known formats, compares against schemas, or checks file existence — determinism has leaked into the LLM. That work belongs in a script.
+
+## 4. Progressive Disclosure
+
+SKILL.md stays focused. Detail goes where it belongs.
+
+- Capability instructions → `./references/`
+- Reference data, schemas, large tables → `./references/`
+- Templates, starter files → `./assets/`
+- Memory discipline → `./references/memory-system.md`
+- Multi-capability SKILL.md under ~250 lines: fine as-is
+- Single-purpose up to ~500 lines: acceptable if focused
+
+## 5. Description Format
+
+Two parts: `[5-8 word summary]. [Use when user says 'X' or 'Y'.]`
+
+Default to conservative triggering. See `./references/standard-fields.md` for full format.
+
+## 6. Path Construction
+
+Only use `{project-root}` for `_bmad` paths. Config variables used directly — they already contain `{project-root}`.
+
+See `./references/standard-fields.md` for correct/incorrect patterns.
+
+## 7. Token Efficiency
+
+Remove genuine waste (repetition, defensive padding, meta-explanation). Preserve context that enables judgment (persona voice, domain framing, theory of mind, design rationale). These are different things — never trade effectiveness for efficiency. A capability that works correctly but uses extra tokens is always better than one that's lean but fails edge cases.