# Send productOptimizer to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "viq-bc-optimiser", "name": "productOptimizer", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/veevortexiq/viq-bc-optimiser", "canonicalUrl": "https://clawhub.ai/veevortexiq/viq-bc-optimiser", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/viq-bc-optimiser", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=viq-bc-optimiser", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "scripts/bc_optimizer.py" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "viq-bc-optimiser", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-05T03:26:17.100Z", "expiresAt": "2026-05-12T03:26:17.100Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=viq-bc-optimiser", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=viq-bc-optimiser", "contentDisposition": "attachment; filename=\"viq-bc-optimiser-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "viq-bc-optimiser" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/viq-bc-optimiser" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/viq-bc-optimiser", "downloadUrl": "https://openagent3.xyz/downloads/viq-bc-optimiser", "agentUrl": "https://openagent3.xyz/skills/viq-bc-optimiser/agent", "manifestUrl": "https://openagent3.xyz/skills/viq-bc-optimiser/agent.json", "briefUrl": "https://openagent3.xyz/skills/viq-bc-optimiser/agent.md" } } ``` ## Documentation ### BigCommerce Content Optimizer Autonomous skill that fetches products from a BigCommerce store, generates optimized titles and descriptions, and updates them back — one page at a time with full progress tracking. ### Prerequisites The user must provide: Store Hash — the BigCommerce store identifier (e.g., abc123def) API Token — a BigCommerce API v3 token with Products read+write scope ### Setup Before first use, install the requests library: pip install requests --break-system-packages The helper script is at: ~/.openclaw/workspace/skills/bigcommerce-content-optimizer/scripts/bc_optimizer.py Set SCRIPT as the full path to bc_optimizer.py for all commands below. ### Workflow — Autonomous Loop CRITICAL: Do NOT stop between pages. Process ALL pages continuously until done. ### Step 1: Initialize python3 $SCRIPT init --store-hash "STORE_HASH" --token "API_TOKEN" --limit 10 This creates progress.json in the current working directory and returns total product/page counts. If progress.json already exists with status: in_progress, it resumes from the last unprocessed page. ### Step 2: For EACH page (loop until all done) 2a. Fetch the page python3 $SCRIPT fetch --store-hash "STORE_HASH" --token "API_TOKEN" --page PAGE_NUMBER --limit 10 Outputs page_N_products.json with product data. 2b. Read products and generate content Read the fetched JSON. For EACH product, generate: New Title: SEO-friendly, concise, under 70 characters. Capture the product essence. New Description: Compelling HTML description, 100-300 words. Use

,