cheat-on-content
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill google-sheets-automation --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/google-sheets-automationContext preview
The summary Claude sees to decide when to auto-load this skill.
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
name: google-sheets-automation description: "Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access." risk: critical source: community license: Apache-2.0 metadata: author: sanjay3290 version: "1.0"
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
> **Requires Google Workspace account.** Personal Gmail accounts are not supported.
Authenticate with Google (opens browser):
python scripts/auth.py login
Check authentication status:
python scripts/auth.py status
Logout when needed:
python scripts/auth.py logout
All operations via `scripts/sheets.py`. Auto-authenticates on first use if not logged in.
# Get spreadsheet content as plain text (default) python scripts/sheets.py get-text SPREADSHEET_ID # Get spreadsheet content as CSV python scripts/sheets.py get-text SPREADSHEET_ID --format csv # Get spreadsheet content as JSON python scripts/sheets.py get-text SPREADSHEET_ID --format json # Get values from a specific range (A1 notation) python scripts/sheets.py get-range SPREADSHEET_ID "Sheet1!A1:D10" python scripts/sheets.py get-range SPREADSHEET_ID "A1:C5" # Find spreadsheets by search query python scripts/sheets.py find "budget 2024" python scripts/sheets.py find "sales report" --limit 5 # Get spreadsheet metadata (sheets, dimensions, etc.) python scripts/sheets.py get-metadata SPREADSHEET_ID
# Update a range of cells with values (JSON 2D array)
python scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B2" '[["Hello","World"],["Foo","Bar"]]'
# Update with RAW input (no formula parsing, treats everything as literal text)
python scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B1" '[["=SUM(A1:A5)","text"]]' --raw
# Append rows after the last data row
python scripts/sheets.py append-rows SPREADSHEET_ID "Sheet1!A:Z" '[["New Row Col A","New Row Col B"]]'
# Clear values from a range (keeps formatting)
python scripts/sheets.py clear-range SPREADSHEET_ID "Sheet1!A1:B10"
# Batch update (advanced - for formatting, merging, etc.)
python scripts/sheets.py batch-update SPREADSHEET_ID '[{"updateCells":{"range":{"sheetId":0},"fields":"userEnteredValue"}}]'You can use either:
The script automatically extracts the ID from URLs.
Human-readable format with pipe separators:
Spreadsheet Title: Sales Data Sheet Name: Q1 Name | Revenue | Units Product A | 10000 | 50 Product B | 15000 | 75
Standard CSV format, suitable for further processing:
Name,Revenue,Units Product A,10000,50 Product B,15000,75
Structured data format:
{
"Q1": [
["Name", "Revenue", "Units"],
["Product A", "10000", "50"]
]
}Tokens stored securely using the system keyring:
Service name: `google-sheets-skill-oauth`
Tokens automatically refresh when expired using Google's cloud function.
Use this skill when tackling tasks related to its primary domain or functionality as described above.
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Repo: LiHongwei-cn/lihongwei-cn
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind…
cheat-on-content 的首次 onboarding 与脚手架创建器。统一流程——所有用户都走相同 5 阶段闭环,唯一区别是"发过视频的人"会在 init 时多一步:抓取已有视频建立历史 context(用于后续 cheat-seed 给更贴合的选题、更准的…
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start…
把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链,按顺序应用每一步迁移文件。幂等:跑两次结果一样。失败停在中间版本不前进。触发词:"迁移"/"升级 state"/"migrate"/"我的 state…
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind…