convert
Skill2 starsChanged 6 days agoMITView on GitHub
This skill should be used when a researcher wants to convert a PDF, Word document, PowerPoint, spreadsheet, or image to markdown. Triggers on 'convert', 'import', 'add this paper', a dropped file path, or any mention of PDF/DOCX/PPTX/XLSX conversion.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- conversiontools/agent-skillstheir own version, first seen Nov 7, 2026
- sergeeey/Claude-cod-top-2026their own version, first seen Nov 1, 2026
- Anglesite/anglesite-skillstheir own version, first seen Oct 27, 2026
- SmailG/plc-programmingtheir own version, first seen Oct 15, 2026
- remotion-dev/remotiontheir own version, first seen Oct 8, 2026
- theYahia/cbr-mcptheir own version, first seen Jun 23, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- remotion-dev/remotion★ 72ksame name
- ArvorCo/Relentless★ 98same name
- Kucoin/kucoin-skills-hub★ 28same name
- Anglesite/anglesite-skills★ 15same name
- sergeeey/Claude-cod-top-2026★ 9same name
- conversiontools/agent-skills★ 8same name
- theYahia/cbr-mcp★ 1same name
- SmailG/plc-programming★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- templates/CLAUDE.mdCLAUDE.md
- automationSkill
- carrelSkill
- collaborator-onboardingSkill
- env-doctorSkill
- environment-setupSkill
- knowledge-wikiSkill
- model-teammatesSkill
- research-partnerSkill
- self-improveSkill
- session-reflectionSkill
- transcribeSkill
- vault-opsSkill
- web-captureSkill
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 8 are distinctive, and 4 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 35
Do not suggest cloud OCR unprompted for straightforward text-heavy papers — liteparse handles those well.
- Distinctive: line 39
If the researcher has mentioned data sensitivity, IRB materials, unpublished manuscripts, or confidential content, note before running:
- Very specific: line 45
Use --force only when the researcher explicitly wants to re-convert something already in the vault, or when quality was poor on a previous …
- Distinctive: line 63
After conversion, scan the output for:
- Distinctive: line 68
If quality is poor, offer re-conversion:
- Very specific: line 74
When the researcher points at a folder ("process my inbox", "convert everything in ~/Drop"), shift into batch mode.
- Very specific: line 78
Before the batch fires, enumerate what's there and report routing back to the researcher.
- Distinctive: line 93
If a file looks like it may need special handling — scanned PDF, encrypted file, very large doc — flag it now rather than after failure.
- Distinctive: line 116
When the queue is done, give a single readable summary:
- Very specific: line 130
If the batch is scheduled (running without the researcher present), the contract is different: skip the confirmation, defer judgment calls …
- Distinctive: line 134
If the researcher wants to stop mid-batch, files already processed are filed and safe — the CLI commits per-file.
- Distinctive: line 142
After a successful conversion, offer:
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
convert
The carrel CLI handles all mechanical conversion work. This skill provides the judgment layer: when to invoke which options, how to interpret results, and what to do next.
When to Trigger
- Researcher drops a file path or says "convert", "import", "add this paper"
- Any PDF, DOCX, PPTX, XLSX, or image needs to become markdown in the vault
Running a Conversion
carrel paper convert <file> [--vault PATH]That's the default. The CLI picks the right tool automatically (liteparse for PDFs, markitdown for everything else) and handles frontmatter, filing, and idempotency.
Judgment Calls
When to suggest --tool mineru or --tool mistral_ocr
Recommend a cloud OCR/conversion tool when the researcher describes or the filename suggests:
- Tables, figures, or formulas that need accurate extraction
- Scanned or image-based PDFs
- Multi-column journal layouts where structure matters
Say: "This looks like a complex or scanned PDF. Want me to use a cloud OCR converter for better accuracy? (--tool mineru or --tool mistral_ocr)"
Do not suggest cloud OCR unprompted for straightforward text-heavy papers — liteparse handles those well.
When to warn about sensitivity
If the researcher has mentioned data sensitivity, IRB materials, unpublished manuscripts, or confidential content, note before running:
--tool mineruand--tool mistral_ocrsend the document to a cloud API — skip them for sensitive files- The default (liteparse) is local and safe
When to use --force
Use --force only when the researcher explicitly wants to re-convert something already in the vault, or when quality was poor on a previous run.
Dry run
Offer --dry-run when the researcher is unsure what will happen or wants to preview before committing.
Interpreting Results
Success: Tell the researcher where the file landed and give a one-line quality read:
"Converted to papers/corley-gioia-2004/paper.md. Tables came through cleanly."
Skipped (already converted): Explain the idempotency behavior:
"This paper is already in your vault. Use --force if you want to re-convert it."
Error: The CLI error message includes a hint — relay it and offer a path forward.
Quality Assessment
After conversion, scan the output for:
- Garbled text (OCR artifacts)
- Broken or missing tables
- Lost section structure
If quality is poor, offer re-conversion:
- "The tables didn't come through well — want to retry with
--tool mineruor--tool mistral_ocrfor better accuracy?" - "Looks like a scanned PDF. The cloud converter handles those better."
Batch Workflow
When the researcher points at a folder ("process my inbox", "convert everything in ~/Drop"), shift into batch mode. The folder walk + per-file dispatch lives in the CLI; this skill owns the confirmation step and the routing summary.
Pre-batch confirmation
Before the batch fires, enumerate what's there and report routing back to the researcher. Default folder is inbox/ inside the vault; any path is accepted.
Recognized document types: .pdf, .docx, .doc, .pptx, .xlsx. Anything else: note it in the summary, skip it.
Show a short report and ask before starting:
Found 16 files in
inbox/:
- 12 PDFs → liteparse (local)
- 3 Word docs → markitdown
- 1 unsupported (
notes.numbers) — will skipAny files you want handled differently? (e.g., use mineru for the complex PDFs, mark anything sensitive)
Ready to start?
If a file looks like it may need special handling — scanned PDF, encrypted file, very large doc — flag it now rather than after failure. Tell the researcher upfront if the queue is long: liteparse takes ~30s per PDF, so 40 PDFs ≈ 20 minutes.
Calling pattern
Once the researcher confirms, hand off to the CLI:
carrel batch convert <folder> [--vault PATH]The CLI walks the folder, dispatches per file, and respects idempotency (SHA-256 source-hash; already-converted files return action="skipped").
During the batch
Flag judgment calls inline rather than silently failing:
- Scanned/image-only PDF → "This looks scanned — want me to retry with a cloud OCR tool such as
mistral_ocr?" - Sensitive-looking filename (e.g.,
patient-records.pdf) → "This filename suggests sensitive content. Confirm local-only processing?" - Repeated tool failures → stop and ask, don't keep retrying
Batch non-blocking questions at the end. Stop and ask immediately for blocking ones (ambiguous routing, suspected sensitive content).
Post-batch summary
When the queue is done, give a single readable summary:
Batch complete:
- Converted: 14 files
- Skipped: 3 (already in vault)
- Failed: 1 —
scan-ocr.pdf(image-only, retry with--tool mistral_ocr?)- Need input: 1 — see questions above
Everything is in your vault. Want me to open any of the new files?
Mention any files that landed in fallback filing slots (sparse frontmatter, no author/year) so the researcher can rename them.
Unattended-mode batches
If the batch is scheduled (running without the researcher present), the contract is different: skip the confirmation, defer judgment calls to _meta/pending-decisions.md, never block. That contract lives in the automation skill — invoke it via carrel batch convert <folder> --unattended from a scheduled prompt, not from interactive use.
Aborting mid-batch
If the researcher wants to stop mid-batch, files already processed are filed and safe — the CLI commits per-file. Resume by re-running the command; idempotency skips what's already done.
CRITICAL: Papers Are Not Notes
A converted paper is raw paper content with YAML frontmatter — nothing else. Never apply a note template to a converted paper. If the researcher wants to write notes about a paper, that is a separate file in notes/ created with the note-taking skill.
Follow-Up Offers
After a successful conversion, offer:
- "Want me to create reading notes for this paper?"
- "Should I check if any papers already in your vault cite this one?"
Related
carrel paper list— see what's already converted- Skills:
vault-opsfor file conventions and note creation
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