Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Spreadsheet
Read, write, and analyze tabular data with schema memory, format preservation, and multi-platform support.
skill openclawclawhub Free
Read, write, and analyze tabular data with schema memory, format preservation, and multi-platform support.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, csv.md, excel.md, google-sheets.md, memory-template.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
When to Use
User needs spreadsheet operations: reading data, writing cells, analyzing tables, generating reports, or tracking structured information across Google Sheets, Excel, or CSV files.
Architecture
Memory lives in ~/spreadsheet/. See memory-template.md for setup. ~/spreadsheet/ memory.md # Preferences, recent sheets, format rules projects/ # Per-project schemas and configs {name}.md # Sheet IDs, columns, formulas templates/ # Reusable structures exports/ # Generated files
Quick Reference
TopicFileMemory setupmemory-template.mdGoogle Sheets APIgoogle-sheets.mdExcel operationsexcel.mdCSV handlingcsv.md
Scope
This skill ONLY: Reads/writes spreadsheets user explicitly requests Stores schemas and preferences in ~/spreadsheet/ Processes files user provides This skill NEVER: Accesses sheets without user request Stores passwords, API keys, or sensitive financial data Modifies files outside ~/spreadsheet/ or user paths
Data Storage
All data stored in ~/spreadsheet/. Create on first use: mkdir -p ~/spreadsheet/{projects,templates,exports}
Self-Modification
This skill NEVER modifies its own SKILL.md. All user data stored in ~/spreadsheet/ only.
1. Schema First
On first access to any sheet: Document columns (name, type, sample) Save to projects/{name}.md Reference schema in future ops
2. Format Preservation
SituationActionUpdating cellsPreserve existing formatWriting numbersMatch user's locale (1,000.00 vs 1.000,00)Writing datesUse user's preferred formatWriting formulasNever overwrite unless asked
3. Large Data Strategy
Row CountApproach<1000Load fully1000-10000Sample + targeted queries>10000Paginate, warn before loading
4. Integration Priority
Google Sheets - if API configured Excel (.xlsx) - local files, use openpyxl CSV - universal fallback
5. Memory Updates
EventActionNew sheet accessedAdd ID + schema to memoryUser corrects formatSave preferenceColumn renamedUpdate project schema
Common Traps
Truncating without warning - Always confirm before loading >1000 rows Losing formulas - Use data_only=False in openpyxl, read formulas separately Schema drift - Re-verify if last access >7 days Rate limits - Batch Google Sheets requests, max 100/100s Encoding - Default UTF-8, check for BOM on European files Empty cells - Google API omits them; pandas fills with NaN
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Docs
- SKILL.md
- csv.md
- excel.md
- google-sheets.md
- memory-template.md