Skill: wangjipeng977/convert-screenshot-any (version 1.0.1)

--- name: convert-screenshot-any description: > Use when (1) Convert a screenshot of any UI into a detailed prompt for AI image generation. license: MIT metadata: version: "1.0" category: design author: wangjipeng sources: - https://github.com/MiniMax-AI/skills --- ## 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-screenshot-any --pretty` **Formatted output.** Applies proper indentation, spacing, and style conventions. ### `/convert-screenshot-any --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]" |


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)