スクリプト化されたIMAPルールを使って日常的なメールトラフィックをルーティング、ラベル付け、クリーンアップし、手作業でのインボックス処理を自動化します。
このスキルは、imapfilterツールを使用して、スクリプト化されたIMAPルールを適用し、メールインボックスのトリアージと整理を自動化します。Luaベースのルール設定により、メールのルーティング、ラベル付け、削除などの定型処理を記述でき、毎回手動で行うインボックス作業を排除します。対応プラットフォームは、IMAPプロトコルをサポートする任意のメールサーバーであり、imapfilterがインストールされた環境（Linux、macOSなど）で動作します。スキルは、Lua（バージョン5.1〜5.5）およびPCRE2（バージョン10.00以降）を依存関係とし、ソースコードはGitHubのlefcha/imapfilterリポジトリから入手可能です。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apply-repeatable-imap-rules-to-triage-and-clean-inboxes-with-imapfilterスクリプト化されたIMAPルールを使って日常的なメールトラフィックをルーティング、ラベル付け、クリーンアップし、手作業でのインボックス処理を自動化します。
IMAPアカウントの認証情報、imapfilterのインストール、Luaルール設定、メールサーバーへのネットワークアクセス
お使いの環境に合った公式のインストール方法またはセットアップ手順を使用してください:
基本的な使用方法と開始手順:
コンパイル時の要件は以下のとおり:
上流ドキュメントから抽出: https://raw.githubusercontent.com/lefcha/imapfilter/HEAD/README
This repo contains 20 individual skills — each has its own dedicated page.
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An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.
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Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.
Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.
Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.
Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.
Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.
Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.
Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.
Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.
Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.
Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.
Calls Adobe Firefly
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio...
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