后端与 API
后端服务、API、Webhook 和服务端工具
Skills 列表

trello
Manage Trello boards, lists, and cards via the Trello REST API.
openclaw
github
GitHub CLI for issues, PRs, CI/check logs, comments, reviews, releases, repos, and gh api queries.
openclaw
sonoscli
Control Sonos speakers (discover/status/play/volume/group).
openclaw
openai-whisper-api
OpenAI Audio Transcriptions API via curl; gpt-4o-transcribe, mini, diarize, or whisper-1.
openclaw
goplaces
Query Google Places for text search, place details, resolve, reviews, or scriptable JSON via goplaces.
openclaw
xurl
xurl CLI for authenticated X posts, replies, reads/search, DMs, media upload, followers, auth status, or raw v2 API calls.
openclaw
openai-whisper
Local speech-to-text with the Whisper CLI (no API key).
openclaw
xurl
用于 X(原 Twitter)鉴权操作的 CLI 工具,支持发帖、回复、查帖与搜索、私信、媒体上传、关注列表管理、认证状态查看及原生 v2 API 调用。
steipete
goplaces
通过 goplaces 查询 Google Places 的文本搜索、地点详情、解析、评论或可脚本化的 JSON。
steipete
github
用于 issues、PR、CI/检查日志、评论、审查、发布、仓库和 gh API 查询的 GitHub CLI。
steipete
sonoscli
控制 Sonos 音箱(发现/状态/播放/音量/分组)。
steipete
openai-whisper-api
通过 curl 调用 OpenAI 音频转写 API;支持 gpt-4o-transcribe、mini、diarize 或 whisper-1 模型。
steipete
trello
通过 Trello REST API 管理 Trello 看板、列表和卡片。
steipete
openai-whisper
本地语音转文字,使用 Whisper CLI(无需 API 密钥)。
steipete
ito-inference
Inspect the availability of model serving on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed serving manifest. Use after ito-compute has booked GPU nodes and the user asks for an OpenAI-compatible endpoint, ito-serve, hosted Kimi, or self-hosted open-weights inference. ECC implements no serving stack of its own.
affaan-m
kubernetes-patterns
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. Use when writing or reviewing Kubernetes manifests, or debugging probes, RBAC, autoscaling, or resource limits.
affaan-m
parallel-execution-optimizer
Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.
affaan-m
redis-patterns
Redis data structure patterns, caching strategies, distributed locks, rate limiting, pub/sub, and connection management for production applications. Use when adding caching, a distributed lock, rate limiting, or pub/sub with Redis, or when key design needs review.
affaan-m
django-celery
Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.
affaan-m
flox-environments
Create reproducible, cross-platform (macOS/Linux) development environments with Flox, a declarative Nix-based environment manager. Use when setting up project toolchains for any language, installing system-level dependencies (compilers, databases, native libs like openssl/BLAS), pinning exact package versions for a team, running local services (PostgreSQL, Redis, Kafka), onboarding developers with one command, or solving 'works on my machine' problems — including agent/vibe-coding setups that need project-scoped tools without sudo. Also use when the user mentions .flox/, manifest.toml, flox activate, or FloxHub.
affaan-m
quarkus-patterns
Quarkus 3.x LTS architecture patterns with Camel for messaging, RESTful API design, CDI services, data access with Panache, and async processing. Use for Java Quarkus backend work with event-driven architectures. Use when building or reviewing a Quarkus service, especially with Camel messaging or Panache data access.
affaan-m
homelab-wireguard-vpn
WireGuard VPN server setup, peer configuration, key generation, split tunneling vs full tunnel routing, and remote access to a home network from mobile and laptop clients. Use when setting up WireGuard for remote access to a home network, or deciding between split and full tunnel routing.
affaan-m
fal-ai-media
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
affaan-m
jira-integration
Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.
affaan-m