sirkirby

How to manage UniFi Access door control — locks, credentials, visitors, access policies, and events. Use this skill when the user mentions UniFi Access, door locks, door access, building access, NFC cards, PIN codes, visitor passes, access policies, access schedules, door readers, or any UniFi Access task.

How to manage UniFi network infrastructure — devices, clients, firewall, VPN, routing, WLANs, Traffic Flows, and statistics. Use this skill when the user mentions UniFi, Ubiquiti, network management, WiFi configuration, firewall rules, port forwarding, VPN, QoS, bandwidth, traffic flows, connected clients, network devices, or any UniFi networking task.

How to manage UniFi Protect cameras and NVR — view cameras, smart detections, Find Anything detection search, recordings, snapshots, lights, sensors, Known Faces, license plates, and the Alarm Manager. Use this skill when the user mentions UniFi cameras, security cameras, NVR, recordings, motion detection, person detection, vehicle search, face recognition, Known Faces, license plates, snapshots, RTSP streams, floodlights, sensors, chimes, arming/disarming the alarm, or any UniFi Protect task.

Use this skill when reviewing or merging any community PR in unifi-mcp — even if the user just says "take a look at this PR" or "can we merge this." Covers the quality gate checklist (f-string logger ban, Ruff lint, validator registration, doc site update ordering), the fork-edit model for trusted contributors, org-fork push limitations, dual-subagent review, PR body standards, live smoke tests, mutating cycles, the unresponsive-first-time-contributor fork-edit exception, and the close-and-redirect pattern. Also covers community infrastructure setup (.github/ health files, issue routing, bug report template design) and evidence-first bug triage protocol. Apply this skill before approving any externally-authored PR, before running the merge command, when auditing merged PRs retroactively, and when setting up community engagement infrastructure.

Activate this skill when running, interpreting, extending, or debugging the live hardware smoke test harness in `scripts/live_smoke.py`. Covers all aspects of manifest-driven live testing against real UniFi hardware: .env credential setup, tool classification tiers, --phase flag selection to bound blast radius, the human-in-the-loop confirmation gate for mutations, artifact interpretation in live-smoke-results/, adding new tools to the harness, and recognizing known API contract failure patterns that mock-based CI cannot catch. Apply this skill even if the user doesn't explicitly ask about the harness — activate whenever a PR requires live smoke evidence, a new tool category needs coverage, or an API contract mismatch is suspected. CRITICAL: Treat live smoke as a PRE-MERGE BLOCKING GATE when code changes API response parsing (new fields, filtering logic, payload normalization).

Apply this skill when implementing a new UniFi resource type end-to-end across all layers — manager class, tool layer, domain models, tests, API REST/GraphQL exposure, and action dispatcher integration. Covers: manager CRUD with 405 workarounds, V2 API response normalization, domain Pydantic models and field validation, tool modules with preview/confirm flow, typed action input models for non-CRUD operations, test suites at both layers, manifest generation, Strawberry GraphQL type registration, cursor-based pagination for list endpoints, render-hint conventions, HTTP error contracts (409 for capability mismatch), ManagerFactory multi-controller concurrency, the multi-surface Phase 8 CI gate, field-symmetry migration procedure, update tool fetch-merge-put pattern, mutation tool registration, DISPATCH_ARG_TRANSLATORS action dispatcher wiring, and dual-surface Protect governance. Activates for any task that introduces new resource support across the manager/tool/API boundary.

Configure the UniFi Protect MCP server for Claude Code, Codex, or OpenClaw — set NVR host, credentials, and permissions

Covers the full release pipeline for the unifi-mcp monorepo: determining release scope by analyzing changed packages, scoping hatch-vcs version tag globs per Python package to prevent sibling-tag contamination, pushing tags in strict dependency order (unifi-core → unifi-mcp-shared → app servers → relay → worker when needed), configuring scripts/generate_release_notes.py path scoping per package, wiring per-package publish workflows for OIDC trusted publishing, coordinating cross-package version bumps in pyproject.toml, understanding app vs. library versioning and writeback behavior, validating releases post-tag, and verifying shared package architecture constraints (DI-only rule, scope gate, relay sync) before releasing shared packages. Apply when cutting any release, bumping unifi-core, or debugging a versioning failure. CRITICAL: All PRs require pin-alignment CI gate before merge (automated, cannot be skipped).

Search, analyze, and query your codebase using semantic vector search, impact analysis, and direct SQL queries against the Oak CI database. Use when finding semantically related code, analyzing code change impacts before refactoring, discovering component relationships, recalling what was discussed or decided in previous sessions, looking up past conversations or outcomes, querying session history, checking activity logs, browsing memories, running SQL against activities.db, or exploring patterns that grep would miss. Do NOT use for storing memories — use oak_remember or oak ci remember instead.

Design effective prompts and optimize context for AI models and agents. Covers prompt engineering foundations (clarity, examples, chain of thought, XML structure), the four context engineering strategies (Write, Select, Compress, Isolate), agent memory and session patterns, and before/after examples showing measurable improvement. Use when writing system prompts, designing agent workflows, optimizing context windows, building prompt templates, structuring few-shot examples, reducing context rot, or improving AI output quality.

Create and maintain project constitutions and agent instruction files. Use when establishing coding standards, adding project rules, creating agent guidance files, syncing rules across agents, or improving AI agent consistency. Also supports RFC/ADR documents for formalizing technical decisions that feed into the constitution.