[{"data":1,"prerenderedAt":723},["ShallowReactive",2],{"page-\u002Fai\u002Fconversion-skill":3,"navigation":341},{"collection":4,"page":5},"docs_en",{"id":6,"title":7,"body":8,"description":332,"extension":333,"meta":334,"navigation":335,"path":336,"rawbody":337,"seo":338,"stem":339,"__hash__":340},"docs_en\u002Fai\u002Fconversion-skill.md","Converting reports with an assistant",{"type":9,"value":10,"toc":326},"minimark",[11,31,50,55,101,113,117,175,179,195,283,287,290,308,316,322],[12,13,14,18,19,26,27,30],"p",{},[15,16,17],"code",{},"welldot-converter"," is an ",[20,21,25],"a",{"href":22,"rel":23},"https:\u002F\u002Fagentskills.io",[24],"nofollow","Agent Skill",": a written procedure that an AI assistant loads and follows. 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Then:",[291,292,293,302,305],"ul",{},[59,294,295,296,301],{},"Open the file in ",[20,297,300],{"href":298,"rel":299},"https:\u002F\u002Fwelldot.org",[24],"welldot.org"," and compare the drawn profile with the report's drawing.",[59,303,304],{},"Check the numbers in the tables: depths, diameters, levels, rates.",[59,306,307],{},"Read the fields it says it left out, and fill them only from the report.",[12,309,310,311,315],{},"The ",[20,312,314],{"href":313},"\u002Fformat\u002Fguides\u002Fconverting-a-report#review-checklist","review checklist"," has the full list.",[317,318,319],"caution",{},[12,320,321],{},"Conversion quality depends on the assistant and on the scan. Handwritten logs, low-resolution scans and tables split across pages cause most errors. Treat every converted file as a draft until a person has checked it.",[323,324,325],"style",{},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":201,"searchDepth":214,"depth":214,"links":327},[328,329,330,331],{"id":53,"depth":214,"text":54},{"id":115,"depth":214,"text":116},{"id":177,"depth":214,"text":178},{"id":285,"depth":214,"text":286},"Use the welldot-converter Agent Skill to turn water well reports in any language into validated .well files with Claude, ChatGPT, Gemini, Cursor or Codex.","md",{},true,"\u002Fai\u002Fconversion-skill","---\ntitle: Converting reports with an assistant\ndescription: Use the welldot-converter Agent Skill to turn water well reports in any language into validated .well files with Claude, ChatGPT, Gemini, Cursor or Codex.\n---\n\n`welldot-converter` is an [Agent Skill](https:\u002F\u002Fagentskills.io): a written procedure that an AI assistant loads and follows. It turns a water well report (PDF, Word document, scan, photo or text, in Portuguese, English, Spanish or another language) into a `.well` file, then reports what it found and what it left out.\n\nThe skill lives in the repository at [`.agents\u002Fskills\u002Fwelldot-converter\u002F`](https:\u002F\u002Fgithub.com\u002Fwelldothq\u002Fwelldot\u002Ftree\u002Fmain\u002F.agents\u002Fskills\u002Fwelldot-converter). `SKILL.md` is the procedure, and `references\u002Fwell-spec.md` is an offline copy of the spec for assistants that cannot browse.\n\n## What it does\n\n1. **Gets the spec.** Reads the current specification, or the bundled copy when offline.\n2. **Reads the report**, with the assistant's own file and vision tools.\n3. **Extracts the well**: identity, location, construction, lithology, tests, analyses, operation, permits and history, section by section ([what goes where](\u002Fformat\u002Fgetting-started\u002Ffor-geologists)).\n4. **Validates** the result: required fields, intervals, units, datetimes with offsets, closed vocabularies.\n5. **Delivers** the file with a summary of the sections found, the fields left out on purpose and the free-text values it kept as written.\n6. **Asks** about ambiguities instead of guessing.\n\nIts rules match the [conversion guide](\u002Fformat\u002Fguides\u002Fconverting-a-report): never estimate a number, keep the report's wording, convert units exactly, write datetimes with an offset, keep the drilled depth out of `well_depth`.\n\n## Set it up\n\n::tabs\n\n:::tabs-item{label=\"Claude Code, Codex, Gemini CLI, Cursor\" icon=\"i-lucide-terminal\"}\nClone the repository, or copy `.agents\u002Fskills\u002Fwelldot-converter\u002F` into your own project. These clients discover skills in `.agents\u002Fskills\u002F` (Claude Code through the `.claude\u002Fskills\u002F` link) with no configuration. The assistant activates the skill when you ask it to convert a report.\n:::\n\n:::tabs-item{label=\"Claude.ai\" icon=\"i-lucide-message-square\"}\nUpload the `welldot-converter` folder as a skill in **Settings → Capabilities → Skills**, then attach a report and ask for a `.well` file.\n:::\n\n:::tabs-item{label=\"ChatGPT, Gemini Gems\" icon=\"i-lucide-message-circle\"}\nThese do not load skill folders. Create a ChatGPT Project or a Gemini Gem, add `SKILL.md` and `references\u002Fwell-spec.md` as knowledge files, and paste the instruction block from the skill's [README](https:\u002F\u002Fgithub.com\u002Fwelldothq\u002Fwelldot\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwelldot-converter\u002FREADME.md) into the instructions.\n:::\n\n::\n\n## Close the loop with validation\n\nConnect the same assistant to the [docs MCP server](\u002Fai\u002Fmcp). The skill tells it to run `validate_well` on every file it produces and to fix each reported error before handing the file over. With MCP connected, it can also look up a field in the spec with `search_docs` instead of relying on memory.\n\n```mermaid\nsequenceDiagram\n  participant U as You\n  participant A as Assistant + welldot-converter\n  participant M as docs MCP server\n  U->>A: Report (PDF, photo) + \"convert to .well\"\n  A->>M: search_docs \u002F get_page (field rules)\n  A->>A: Extract and write the file\n  A->>M: validate_well(content)\n  M-->>A: errors with paths\n  A->>A: Fix\n  A->>M: validate_well(content)\n  M-->>A: valid, warnings\n  A-->>U: .well file + summary of what was left out\n```\n\n## Review the result\n\nThe assistant's summary tells you where to look. Then:\n\n- Open the file in [welldot.org](https:\u002F\u002Fwelldot.org) and compare the drawn profile with the report's drawing.\n- Check the numbers in the tables: depths, diameters, levels, rates.\n- Read the fields it says it left out, and fill them only from the report.\n\nThe [review checklist](\u002Fformat\u002Fguides\u002Fconverting-a-report#review-checklist) has the full list.\n\n::caution\nConversion quality depends on the assistant and on the scan. Handwritten logs, low-resolution scans and tables split across pages cause most errors. 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