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wangjipeng977

Convert Spreadsheet Rows

by 王继鹏 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
51
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1
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0
Active Installs
1
Versions
Install in OpenClaw
/install convert-spreadsheet-rows
Description
Use when (1) Convert spreadsheet rows into structured task objects for Jira. Markdown. or JSON formats.
README (SKILL.md)

Core Position

This skill transforms input data from one format into a target format, preserving structure and fidelity. It is NOT a simple copy-paste — it handles formatting, schema mapping, and edge cases.

Key responsibilities:

  • Parse the input format (JSON/CSV/code/etc.) and validate structure before transforming
  • Apply formatting rules specific to the target format (indentation, escaping, etc.)
  • Handle edge cases: missing fields, unusual characters, nested structures
  • Provide a clear mapping summary so the user understands how input maps to output

Modes

/convert-spreadsheet-rows --pretty

Formatted output. Applies proper indentation, spacing, and style conventions.

/convert-spreadsheet-rows --strict

Strict mode. Fails on any deviation from expected structure rather than guessing.

Execution Steps

  1. Parse input — Read and parse the input; detect format (JSON/CSV/XML/code/etc.)
    • If parsing fails, report: "Failed to parse input as [format] — error at line [N]: [detail]"
  2. Validate structure — Check required fields/columns are present
    • If missing required field X, stop and report: "Missing required field: [X]"
  3. Transform — Convert input to target format, applying format-specific rules
    • Preserve all data — do not silently drop fields
    • Apply proper escaping for special characters (quotes, newlines, etc.)
  4. Validate output — Run the target format parser on the result to confirm it's valid
    • If output is invalid, revert to previous version and report what went wrong
  5. Deliver — Return the converted output with a brief mapping summary

Mandatory Rules

Do not

  • Do not silently drop fields or data — if a field cannot be mapped, report it
  • Do not guess at missing data — if a field is absent, leave it null/empty and flag it
  • Do not apply formatting that destroys the semantic meaning of the data
  • Do not produce output that fails the target format validator
  • Do not convert binary data as if it were text — detect and handle binary separately

Do

  • Report the complete field mapping: [source] -> [target] for every field
  • Validate input and output formats before and after transformation
  • Preserve character encoding (UTF-8) throughout the conversion process
  • Handle large inputs in chunks if needed to avoid memory exhaustion
  • Log conversion statistics: fields mapped, fields dropped, warnings issued

Quality Bar

Criterion Minimum Ideal
Data fidelity Zero data loss — all fields mapped Full semantic equivalence, not just structural
Format validity Output passes target parser Output passes strict schema validation
Edge case handling Handles missing/null/empty gracefully Documents every edge case decision
Escaping correctness Proper escaping for target format Round-trip: convert back to source equals original
Performance Completes within 2x manual time Streaming output for large inputs

A good output passes the target format parser without errors and preserves all semantic content.

Good vs. Bad Examples

Scenario Bad Good
Missing field Omits field from output silently Reports "Field [X] absent — output null, flagged as warning"
Special characters Only escapes visible chars Escapes all special chars per target format spec
Large input Loads entire file into memory Streams in chunks, reports progress at 25/50/75%
Output validation Skips validation Runs target parser on output, confirms valid before returning
Format error Returns raw output with error text appended Returns nothing, reports "Output invalid: [parser error] at [location]"
Usage Guidance
Install only if you are comfortable with a CSV-focused converter. Do not provide any API key or sensitive credential for this skill unless a future version clearly explains why it is needed. Use explicit input and output paths, and check converted task data before importing it into Jira or another system.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The stated purpose is row conversion to Jira, Markdown, or JSON, which matches the included helper script at a high level, but the script only parses CSV despite references to Excel/spreadsheets and broader formats.
Instruction Scope
The core skill instructions are conversion-focused and user-directed; optional file output exists only through an explicit -o argument in the helper script, while the skill text mostly says to return converted output.
Install Mechanism
The install guidance is ordinary ClawHub/manual-copy guidance, setup.sh only prints usage text, and requirements.txt declares no external dependencies.
Credentials
Metadata and README mention sensitive credentials/API_KEY, but the inspected code does not read environment variables, credentials, or make network calls; this appears to be stale template metadata rather than active credential handling.
Persistence & Privilege
No background workers, startup hooks, privilege escalation, broad indexing, deletion, or persistence mechanisms were found; writes are limited to a user-specified output file path.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install convert-spreadsheet-rows
  3. After installation, invoke the skill by name or use /convert-spreadsheet-rows
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Initial release
Metadata
Slug convert-spreadsheet-rows
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Convert Spreadsheet Rows?

Use when (1) Convert spreadsheet rows into structured task objects for Jira. Markdown. or JSON formats. It is an AI Agent Skill for Claude Code / OpenClaw, with 51 downloads so far.

How do I install Convert Spreadsheet Rows?

Run "/install convert-spreadsheet-rows" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Convert Spreadsheet Rows free?

Yes, Convert Spreadsheet Rows is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Convert Spreadsheet Rows support?

Convert Spreadsheet Rows is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Convert Spreadsheet Rows?

It is built and maintained by 王继鹏 (@wangjipeng977); the current version is v1.0.1.

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