plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "kobo-plm-fashion-tools",
  "version": "1.0.0",
  "description": "Tech packs, sample fit reviews, HS code lookup and landed cost for fashion brands, with no account needed.",
  "author": {
    "name": "Gaia Tek Limited (K\u014db\u014d)",
    "email": "hello@kobolabs.io",
    "url": "https://kobolabs.io"
  },
  "homepage": "https://gptplugin.kobolabs.io",
  "keywords": [
    "fashion",
    "tech pack",
    "apparel",
    "fit review",
    "HS code",
    "landed cost",
    "garment",
    "manufacturing"
  ],
  "extensions": {
    "com.openai": {
      "interface": {
        "displayName": "K\u014db\u014d PLM Fashion Tools",
        "shortDescription": "Tech packs for fashion brands",
        "longDescription": "K\u014db\u014d PLM Fashion Tools helps fashion founders and designers get a garment from idea to factory without knowing the jargon first.\n\nTech pack builder: describe a garment or upload a sketch and get a factory-ready tech pack with a graded measurement spec across your sizes (UK, US, EU, letter or waist-inch sizing, in cm or inches), tolerances and how to measure each point, materials with an amount per garment, construction, colourways, artwork and label placement, care and packing. A plain-English checklist shows what the factory still needs. Edit any measurement in the panel, add photos of fabrics, trims and artwork, and download a PDF or spec CSV.\n\nRevisions: ask for a change (\"add size XXL\", \"chest 1 cm bigger for the PP sample\") and the tech pack moves to the next revision with a dated change log and the sample stage on every page.\n\nTechnical flats: no sketch? Ask for front and back flats to be drawn, with numbered callouts matching the construction notes.\n\nSample fit review: tell ChatGPT what your sample measured. Each point is checked against the spec and its tolerance, with the biggest miss, what to tell the factory and which sample to make next. Works on its own or against a tech pack. Download the fit report as PDF or CSV.\n\nHS code lookup: describe a garment or accessory and get the likely 6-digit customs code with the reasons, close alternatives, and links to the US, UK and EU tariffs.\n\nLanded cost: from a factory price to landed cost per destination market, with freight, duty, other costs, wholesale and retail margins, and suggested prices.\n\nNo account is needed. Images and tech packs are kept for up to 7 days so you can keep working on them, then deleted.",
        "developerName": "Gaia Tek Limited (K\u014db\u014d)",
        "category": "Productivity",
        "capabilities": [
          "Build graded tech packs",
          "Revise tech packs with a change log",
          "Draw technical flats",
          "Review sample fit against spec",
          "Look up apparel HS codes",
          "Calculate landed cost and margins",
          "Export PDF and CSV"
        ],
        "websiteURL": "https://kobolabs.io",
        "supportURL": "https://gptplugin.kobolabs.io/support",
        "privacyPolicyURL": "https://gptplugin.kobolabs.io/privacy",
        "termsOfServiceURL": "https://kobolabs.io/terms-of-service",
        "defaultPrompt": [
          "Make me a tech pack for a women's linen midi dress with puff sleeves, UK sizes 6 to 16.",
          "My proto came back in size M: chest 51 (spec 53), sleeve 22 (spec 21). Does it pass?",
          "What's the HS code for a men's cotton field jacket, and what would it cost landed in the UK?"
        ],
        "brandColor": "#423C35",
        "brandColorDark": "#ECE9E2",
        "composerIcon": "./assets/icon.png",
        "logo": "./assets/logo.png"
      },
      "review": {
        "commerce": false,
        "test_cases": {
          "positive": [
            {
              "description": "A vague request is asked about first, then built with UK sizes",
              "prompt": "Make me a tech pack. (Then, when asked:) A women's linen midi dress, A-line with a square neck and puff sleeves, 100% linen 180 gsm, UK sizes 6 to 16, cm. No sketch.",
              "tools_triggered": "build_tech_pack",
              "expected_behavior": "On the first message ChatGPT asks one short question (garment, who it is for, fabric, sizes and unit, colourways, sketch) and does not call a tool. On the answer it calls build_tech_pack (garment_type dress, fit_for womens, sizes 6-16). The panel shows 'Linen Midi Dress', tag 'Rev 1, Proto', a Measurements tab grading 13 points across sizes 6-16 with size 10 as the sample size in cm, a note that measurements come from K\u014db\u014d's starter womens dress block, and a checklist. ChatGPT names the single most important thing still missing."
            },
            {
              "description": "Waist-inch jeans in inches",
              "prompt": "Tech pack for a men's straight 5-pocket jean in 13.5 oz rigid selvedge denim, waist sizes 28 to 38, in inches.",
              "tools_triggered": "build_tech_pack",
              "expected_behavior": "build_tech_pack is called with garment_type jeans, unit in, waist sizes 28-38. The Measurements tab shows waist sizes 28, 29, 30, 31, 32, 33, 34, 36, 38 with 32 as the sample size, values in inches with fractions (e.g. Waist Width 16 1/2 at 32). 'Download PDF' opens a landscape PDF in inches."
            },
            {
              "description": "Adding a size creates a revision and keeps starter measurements marked as starter",
              "prompt": "(In the same chat as the previous tech pack) Add a size XXL.",
              "tools_triggered": "build_tech_pack",
              "expected_behavior": "build_tech_pack is called with the pack_id from the last result and the new size list, without re-sending the starter measurements. The panel tag moves to 'Rev 2' with the change 'Added size XXL'; the new column is filled and highlighted as changed; starter rows are still shown as K\u014db\u014d starter values."
            },
            {
              "description": "Fit review: does the sample pass",
              "prompt": "My proto came back in size M: chest 51 (spec 53), body length 72.5 (spec 72), sleeve 22 (spec 21). It's a men's boxy tee. Does it pass?",
              "tools_triggered": "review_sample",
              "expected_behavior": "ChatGPT calls review_sample and never writes its own comparison table. The fit review panel shows the verdict '1 of 3 within tolerance; 2 need attention', the biggest miss 'Chest is 2 cm smaller than spec at M.', Chest and Sleeve marked outside the allowed \u00b1 with a suggested value back to spec, and the next sample 'Proto'. ChatGPT replies in one or two sentences with the main fix and next sample. CSV and PDF buttons download the report."
            },
            {
              "description": "HS code asks only what it needs, then landed cost asks before calculating",
              "prompt": "What's the HS code for a field jacket? (Then:) Men's, cotton. What would it cost me landed in the UK? (Then:) \u20ac38 FOB from Portugal, retail \u00a3180.",
              "tools_triggered": "lookup_hs_code, calculate_landed_cost",
              "expected_behavior": "Turn 1: lookup_hs_code with description 'field jacket'; the panel shows a best match in heading 62.01/62.02 marked low confidence with alternatives, and ChatGPT asks only men's/women's and the main material. Turn 2: no tool yet; ChatGPT asks for the factory (FOB) price and currency and the country of manufacture. Turn 3: calculate_landed_cost with hs_code 6201.30, origin Portugal, a UK market; the panel shows landed cost per unit in GBP, the breakdown bar (factory price, freight, duty), the retail margin, and a line saying duty rates are estimates to confirm with a customs broker."
            }
          ],
          "negative": [
            {
              "description": "An unknown sample-stage word is not invented",
              "prompt": "(After any tech pack) Update it for the wash-test sample.",
              "tools_triggered": "build_tech_pack",
              "expected_behavior": "The stage list is proto, salesman sample, pre-production, top of production. ChatGPT calls build_tech_pack without a stage, or if it sends the unknown word the tool rejects it as invalid input and ChatGPT retries without it or asks which sample round is meant. The revision keeps the previous stage; 'wash-test' is not written into factory notes; nothing errors."
            },
            {
              "description": "'Does it pass' with no numbers asks for the measurements",
              "prompt": "My sample came back from the factory. Does it pass?",
              "tools_triggered": "none",
              "expected_behavior": "ChatGPT does not call review_sample and does not invent or estimate measurements. It asks one short question: which points were measured, the numbers, and the size."
            },
            {
              "description": "The HS tool never quotes a duty rate",
              "prompt": "What's the HS code and the import duty for a cotton t-shirt going to the US?",
              "tools_triggered": "lookup_hs_code",
              "expected_behavior": "lookup_hs_code returns 6109.10 ('T-shirts, singlets and other vests, knitted or crocheted, of cotton', strong match) with a link to the US tariff (USITC HTS). Neither the panel nor ChatGPT presents a duty rate as coming from the tool; if ChatGPT mentions duty it says it is an estimate to confirm with the official tariff or a customs broker. calculate_landed_cost is only called if the user gives a price."
            }
          ]
        },
        "demo_recording_url": "https://www.loom.com/share/ae0ab5473b1c4a40a0f64948a0b28a01"
      },
      "publication": {
        "countries": [
          "US",
          "GB",
          "IE",
          "DE",
          "FR",
          "ES",
          "IT",
          "NL",
          "BE",
          "PT",
          "DK",
          "SE",
          "NO",
          "FI",
          "AT",
          "CH",
          "PL",
          "AU",
          "NZ",
          "CA",
          "IN",
          "SG",
          "HK",
          "JP",
          "KR",
          "AE",
          "ZA",
          "BR",
          "MX",
          "TR"
        ],
        "release_notes": "First release: tech pack builder with graded measurements, revisions and technical flats; standalone sample fit review; apparel HS code lookup; landed cost calculator. No account needed."
      },
      "apps": "./.app.json"
    }
  }
}