コミュニティに収録
Tableau To Hex Skill
Agent skill for migrating Tableau, Looker, and Power BI dashboards to Hex apps: extract specs, rebuild with Hex AI, verify parity
概要
Agent skill for migrating Tableau, Looker, and Power BI dashboards to Hex apps: extract specs, rebuild with Hex AI, verify parity
説明全文を読む
ソース文書であり、このサイトへの操作指示ではありません。コマンド実行前に権限を確認してください。
Tableau/Looker/Power BI → Hex Dashboard Migration Skill
An agent skill that migrates a Tableau, Looker, or Power BI dashboard to a Hex app with matching queries, numbers, filters, colors, layout, and tooltips — then proves the match with an automated screenshot-diff loop.
This file is for humans. The agent follows SKILL.md (the procedure) and reference.md (the commands).
Source support:
| Source | Status | Notes |
|---|---|---|
| Tableau (Cloud + self-hosted Server) | Battle-tested | Proven on a production migration |
| Looker (Looker-hosted + customer-hosted) | Documented equivalent | Easier in one way: the API returns the exact warehouse SQL behind every tile |
| Power BI (Fabric / Premium / PPU best) | Documented equivalent, hardest source | Extraction is clean (PBIR + TMDL via APIs), but DAX measures must be translated to warehouse SQL and proven equivalent; import-mode models without a reachable upstream warehouse can't be migrated at all |
What it does, step by step
| Phase | What happens | Your involvement |
|---|---|---|
| 0. Setup | Installs/verifies the Hex CLI and a warehouse CLI, checks source BI access, asks the fidelity policy, suggests command allowlisting, front-loads the one-time logins, creates a resumable run manifest | Provide source credentials (Tableau PAT / Looker API key / Entra login) if not configured; answer one policy question; do the logins |
| 1. Extract | Pulls the ground truth from the source — Tableau: downloads the workbook (.twbx) and parses its XML for custom SQL, calculated fields, parameters, filters, layout, colors; Looker: fetches the dashboard, per-tile generated SQL, table calcs, filters, and vis config via the API; Power BI: fetches the report definition (PBIR) and semantic model (TMDL: DAX measures, relationships, M sources) via the Fabric APIs — and grabs rendered PNGs | Send screenshots of hover tooltips (they're invisible to every API); confirm t |
元のテキストを表示
# Tableau/Looker/Power BI → Hex Dashboard Migration Skill An agent skill that migrates a Tableau, Looker, or Power BI dashboard to a [Hex](https://hex.tech) app with **matching queries, numbers, filters, colors, layout, and tooltips** — then proves the match with an automated screenshot-diff loop. This file is for humans. The agent follows [SKILL.md](SKILL.md) (the procedure) and [reference.md](reference.md) (the commands). Source support: | Source | Status | Notes | |---|---|---| | **Tableau** (Cloud + self-hosted Server) | Battle-tested | Proven on a production migration | | **Looker** (Looker-hosted + customer-hosted) | Documented equivalent | Easier in one way: the API returns the exact warehouse SQL behind every tile | | **Power BI** (Fabric / Premium / PPU best) | Documented equivalent, hardest source | Extraction is clean (PBIR + TMDL via APIs), but DAX measures must be translated to warehouse SQL and proven equivalent; import-mode models without a reachable upstream warehouse can't be migrated at all | ## What it does, step by step | Phase | What happens | Your involvement | |---|---|---| | 0. Setup | Installs/verifies the Hex CLI and a warehouse CLI, checks source BI access, asks the fidelity policy, suggests command allowlisting, front-loads the one-time logins, creates a resumable run manifest | Provide source credentials (Tableau PAT / Looker API key / Entra login) if not configured; answer one policy question; do the logins | | 1. Extract | Pulls the ground truth from the source — Tableau: downloads the workbook (.twbx) and parses its XML for custom SQL, calculated fields, parameters, filters, layout, colors; Looker: fetches the dashboard, per-tile generated SQL, table calcs, filters, and vis config via the API; Power BI: fetches the report definition (PBIR) and semantic model (TMDL: DAX measures, relationships, M sources) via the Fabric APIs — and grabs rendered PNGs | Send screenshots of hover tooltips (they're invisible to every API); confirm t
ソースを確認
価格と実行コスト
- Skill の入手
- 価格未確認
- 実行
- 実行要件は未確認です。Agent・API・サービス料金を提供元で確認してください。
- ライセンス
- MIT
- 価格未確認
- 価格は未確認です。既存のソースとインストールリンクは利用できます。
無料で入手できても実行が無料とは限りません。価格は安全評価ではありません。 価格情報を送る →
ソース構造は未確認
リポジトリの掲載はインストール可能なスキルの証明ではありません。まず手順を確認してください。
インストール前にレビュー: 自動インストールを避ける
ライセンス: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 2 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
ツール一覧はメタデータであり、互換性のテスト結果ではありません。プロンプトは提案です。
小さなタスクから始める
- 1ソースを読み、入力、出力、依存関係、権限を確認します。
- 2Agent に計画を求め、設定と費用を承認してから隔離環境でテストします。
- 3出力と変更ファイルを確認し、実行した結果だけを報告します。再現用にソースの版を保存します。
依存関係、API キー、外部サービスの料金をソースで確認してください。公開リポジトリでも全サービスが無料とは限りません。
出典と利用上の注意
メタデータと審査情報は参考です。人気、ソースの発見、実行成功は別の事実です。
- ソースリポジトリ
- Humphrey4data/tableau-to-hex-skill
- ライセンス
- MIT
- バージョン
- 1.0.0
- 最終 GitHub プッシュ
- 2026年7月30日
- 登録情報の更新日
- 2026年9月1日
- 手順のパス
- ソース構造は未確認
登録されたバージョンです。ソースのリリース情報を確認してください。
品質
71/100
強い
信頼
61/100
サンドボックス限定
監査
76/100
要レビュー
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 2 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- 成果
- —
コピーはインストールではありません。件数は成功報告に基づき、品質全体を保証しません。
Agent 接続
Registry API 経由で判断、信頼、監査、ユースケース、インストールのシグナルを提供し、UI をスクレイピングせずに Agent が順位付けできます。
詳細情報
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"ai_reviewed": false,
"manual_reviewed": false,
"creator_verified": false,
"review_result": "not_recorded",
"reviewed_at": null,
"package_fingerprint": null,
"policy_version": null,
"notice": "Publication, static checks, AI review, and creator verification are independent facts. None guarantees runtime safety."
},
"commerce": {
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"currency": null,
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"skill": {
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"category": "other",
"url": "https://www.openagentskill.com/skills/humphrey4data-tableau-to-hex-skill",
"repository": "https://github.com/Humphrey4data/tableau-to-hex-skill",
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"Web scraping workflows",
"Claude Code teams",
"builders willing to evaluate younger projects",
"Crawl target URLs",
"Extract tables and metadata",
"Normalize messy page content",
"Move data between tools",
"Transform files"
],
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"install": {
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"path": null,
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"notice": "Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability."
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"targets": [
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},
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}
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"trust": {
"score": 69,
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"version": "trust-score-v4",
"install_policy": "block",
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"repoActivity": "25 stars, 2 forks",
"lastPushed": "2mo since push",
"license": "MIT",
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"install": "Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Strong README/SKILL.md context",
"agentOutcomes": "No agent outcome data yet"
},
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"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
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"agent-skill",
"skill",
"agent",
"skill-file"
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"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 25 GitHub stars",
"Stars/forks activity: 25 stars, 2 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
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"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
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"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
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"recentFailureRate": null,
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"setupRequired": 0,
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"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
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"signals": [],
"penalties": [
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"audit": {
"score": 76,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Low GitHub adoption signal",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 25 GitHub stars",
"Stars/forks activity: 25 stars, 2 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access"
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"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
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"quality": {
"score": 71,
"label": "Strong"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "Document processing",
"maintenance": "2mo since push",
"risk": "Needs review"
},
"alternative_skills": [],
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"Permission surface may require sandboxing",
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"Permission surface needs review: secrets or environment access, shell or command execution"
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"Trust: 69/100 Manual review",
"Audit: 76/100 Needs review",
"Safety: 32/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "humphrey4data-tableau-to-hex-skill (Tableau To Hex Skill)",
"install_command": "",
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}
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"expected_outcomes": [
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"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
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"audit": "https://www.openagentskill.com/skills/humphrey4data-tableau-to-hex-skill/audit",
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"manifest": "https://www.openagentskill.com/api/registry/manifest/humphrey4data-tableau-to-hex-skill"
}
}クリエイター向け
掲載元
コミュニティにより登録
この掲載は公開ソースから登録されており、メンテナー申請が承認されるまで公式として表示されません。
- インデックス作成者
- OpenAgentSkill コミュニティインデックス
帰属は公開リポジトリまたは作成者プロフィールにリンクされています。作成者は掲載を申請して所有権シグナルを更新できます。
このスキルを申請所有者の申請
このスキル掲載を申請
この コミュニティにより登録 掲載は Humphrey4data に帰属していますが、まだ公式として表示されていません。申請すると、確認済み所有者シグナルが追加され、今後の公開、インストール、監査更新の信頼性が高まります。
共有キット
クリエイター被リンクキット
README にエビデンスバッジを追加
開発者がリポジトリを評価する場所で、正規掲載、現在の信頼・監査シグナル、実際の Agent-Proven エビデンスを表示します。
[](https://www.openagentskill.com/skills/humphrey4data-tableau-to-hex-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/humphrey4data-tableau-to-hex-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/humphrey4data-tableau-to-hex-skill/audit)
[](https://www.openagentskill.com/skills/humphrey4data-tableau-to-hex-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)コミュニティシグナル
このスキルが Agent ワークフローに役立つかを共有してください。集約されたフィードバックがランキングを改善します。
