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Keep the inspection apparatus compact and fully inside the crop.", "aspectRatio": "16:10", "width": 1600, "height": 1000, "generator": "OpenAI image generation via Codex", "generatedAt": "2026-08-29T00:00:00.000Z", "sourceHash": "sha256:e71b573b320ebd3b88be31cc3b6970f7201edb941f197e597a41f0068e3f003a", "sourceHashVersion": 1, "fallbackGradient": "linear-gradient(135deg, #e86027 0%, #e86027 100%)", "fallbackInitials": "BC" }, "provenance": { "sourceRepository": "https://github.com/TedTschopp/cat-agent-skills", "sourceCommit": null, "sourcePath": "submissions/blog-content-auditor", "sourceUrl": null, "sourceFileSha256": null, "sourcePromptSha256": null, "importedPromptSha256": null, "sourceGuideSha256": null, "importedGuideSha256": null, "sourceFiles": [], "importedFiles": [], "legacyPaths": [], "legacyImage": null, "legacyMetadata": null, "appliedRepairs": [] } }, { "kind": "skill", "kindLabel": "Agent Skill", "slug": "blog-post-structure-pass", "name": "Blog Post Structure Pass", "title": "Blog Post Structure Pass", "description": "Restructure draft or existing blog posts into a stronger narrative without inventing new claims.", "status": "active", "publicationStatus": "published", "topics": [ "Content and Documentation", "Productivity and Automation" ], "tags": [ "blog", "writing", "authoring", "content", "structure", "productivity" ], "keywords": [], "models": [], "compatibility": [], "worksWith": [ "Cowork", "Copilot Studio", "Scout" ], "author": { "name": "Simon Owen", "url": "https://github.com/SimonOwenDigital", "github": "SimonOwenDigital", "avatar": null }, "dates": { "created": "2026-07-17T00:00:00.000Z", "updated": "2026-07-17T00:00:00.000Z" }, "entrypoint": "SKILL.md", "payloadPaths": [ "bundles/blog-post-structure-pass.zip" ], "payloads": [ { "path": "SKILL.md", "downloadPath": "bundles/blog-post-structure-pass.zip" } ], "bundleDownloadPath": "bundles/blog-post-structure-pass.zip", "downloadPath": "bundles/blog-post-structure-pass.zip", "canonicalPath": "/skills/blog-post-structure-pass/", "legacyPaths": [], "featured": false, "version": "0.1.0", "rating": 0, "downloads": 0, "engagement": { "microsoft": { "rating": 0, "comments": 0, "discussions": [] }, "local": { "rating": 0, "comments": 0, "discussions": [] }, "total": { "rating": 0, "comments": 0 } }, "variables": [], "series": [], "relatedAssetIds": [], "artwork": { "ready": true, "image": "skill-art/blog-post-structure-pass.webp", "alt": "Loose blank article cards travel through a cyan guide and lock into five ordered modules ending at a safely inset orange marker.", "prompt": "Use case: stylized-concept\nAsset type: AI.Tedt.org skill gallery cover\nPrimary request: Create a premium editorial illustration of a blog draft being reorganized into a clear narrative spine without changing its underlying material.\nScene/backdrop: A sparse warm paper-toned composition bench with an open field and no software interface.\nSubject: Six blank tactile paper modules begin as a loose uneven cluster on the left, travel through one elegant cyan guide rail, and lock into a single coherent rising sequence on the right; the same small navy and orange geometric evidence pieces remain visibly preserved as they move into the stronger structure.\nStyle/medium: Premium editorial illustration with tactile dimensional detail, layered cut paper, matte ceramic joints, and restrained translucent acrylic.\nComposition/framing: Exact 16:10 landscape; one strong left-to-right transformation; crop-safe central guide rail and finished sequence; no essential detail in the outer 8%; simple silhouettes legible on a small gallery card.\nLighting/mood: Calm, editorial, purposeful, quietly technical, with soft studio light, restrained cyan backlighting, and a sparing orange focal accent.\nColor palette: Warm paper #F8F6F0, slate #101820, navy #00446F, cyan #00A9E0, sparing orange #E86027.\nConstraints: No text, letters, numbers, headings, interface labels, logos, trademarks, or watermark; no pseudo-writing or writing-like lines; no paw imagery or paw logo; no cats or cat silhouettes; no literal browser, product UI, Microsoft Fluent gradients, or Microsoft branding.\nTargeted correction: Pull the entire finished sequence and orange endpoint inward so every object has at least 8% clear warm-paper margin from all edges. Use five finished modules rather than six, keep their heights moderately varied, and preserve the same simple geometric evidence pieces without adding any markings.\nTargeted correction 2: Scale down and recenter the entire transformation as one self-contained tabletop model. Every loose source card, every segment of the cyan guide tube, every white connector node, all five finished cards, and the final orange endpoint must be fully contained inside the central 84% of the canvas. Leave a continuous empty warm-paper border at least 8% wide on all four sides, with the orange endpoint clearly separated from the right border rather than touching or approaching it.", "aspectRatio": "16:10", "width": 1600, "height": 1000, "generator": "OpenAI image generation via Codex", "generatedAt": "2026-08-29T00:00:00.000Z", "sourceHash": "sha256:37a00fd69439f28a3064df2c6e67ded0e9f7e5e688383884469421b84a3206d9", "sourceHashVersion": 1, "fallbackGradient": "linear-gradient(135deg, #e86027 0%, #e86027 100%)", "fallbackInitials": "BP" }, "provenance": { "sourceRepository": "https://github.com/TedTschopp/cat-agent-skills", "sourceCommit": null, "sourcePath": "submissions/blog-post-structure-pass", "sourceUrl": null, "sourceFileSha256": null, "sourcePromptSha256": null, "importedPromptSha256": null, "sourceGuideSha256": null, "importedGuideSha256": null, "sourceFiles": [], "importedFiles": [], "legacyPaths": [], "legacyImage": null, "legacyMetadata": null, "appliedRepairs": [] } }, { "kind": "skill", "kindLabel": "Agent Skill", "slug": "booth-loop-video", "name": "Booth Loop Video", "title": "Booth Loop Video", "description": "Generate a silent, looping 1920x1080 MP4 for a conference booth, kiosk, or lobby screen — rendered frame-by-frame in Python (Pillow + ffmpeg), with previews before the full render.", "status": "active", "publicationStatus": "published", "topics": [ "Design and Media", "Business and Strategy" ], "tags": [ "video", "animation", "python", "marketing", "events", "design", "ffmpeg" ], "keywords": [], "models": [], "compatibility": [], "worksWith": [ "Scout" ], "author": { "name": "Al Macey", "url": "https://github.com/amacey-msft", "github": "amacey-msft", "avatar": null }, "dates": { "created": "2026-08-04T00:00:00.000Z", "updated": "2026-08-04T00:00:00.000Z" }, "entrypoint": "SKILL.md", "payloadPaths": [ "skills/booth-loop-video.md" ], "payloads": [ { "path": "SKILL.md", "downloadPath": "skills/booth-loop-video.md" } ], "bundleDownloadPath": null, "downloadPath": "skills/booth-loop-video.md", "canonicalPath": "/skills/booth-loop-video/", "legacyPaths": [], "featured": false, "version": "1.0.0", "rating": 0, "downloads": 0, "engagement": { "microsoft": { "rating": 0, "comments": 0, "discussions": [] }, "local": { "rating": 0, "comments": 0, "discussions": [] }, "total": { "rating": 0, "comments": 0 } }, "variables": [], "series": [], "relatedAssetIds": [], "artwork": { "ready": true, "image": "skill-art/booth-loop-video.webp", "alt": "A navy filmstrip forms an infinity loop, showing a cyan orb advancing frame by frame toward a glowing orange seam.", "prompt": "Use case: stylized-concept\nAsset type: AI.Tedt.org skill gallery cover\nPrimary request: a seamless Mobius loop built from a sequence of wide animation frames, each frame advancing one cyan orb along a path, visualizing a silent booth video rendered frame by frame and returning cleanly to its start\nScene/backdrop: an isolated sculptural rendering on warm-paper negative space above a low dark-slate plinth\nSubject: one continuous navy film ribbon twisting into a horizontal infinity loop, with repeated blank landscape apertures showing the same cyan orb in successive motion positions and one subtle orange-lit seam where the loop closes\nStyle/medium: premium editorial illustration with tactile dimensional detail\nComposition/framing: exact 16:10 landscape; crop-safe focal subject centered with a strong silhouette; no essential detail in the outer 8%; immediately legible at small gallery-card size\nLighting/mood: calm, capable, quietly technical, with restrained cyan backlighting and a polished show-floor presence\nColor palette: warm paper #F8F6F0, slate #101820, navy #00446F, cyan #00A9E0, sparing orange #E86027\nConstraints: no text, letters, numbers, interface labels, logos, trademarks, or watermark; no paw imagery or paw logo; no cats or cat silhouettes; no product UI, audio glyphs, slide-deck look, or Microsoft Fluent branding", "aspectRatio": "16:10", "width": 1600, "height": 1000, "generator": "OpenAI image generation via Codex", "generatedAt": "2026-08-29T00:00:00.000Z", "sourceHash": "sha256:9ad1d3b92335496a01080884711909c0c8787d1d403cf4dea105a3e5df8e272a", "sourceHashVersion": 1, "fallbackGradient": "linear-gradient(135deg, #e86027 0%, #e86027 100%)", "fallbackInitials": "BL" }, "provenance": { "sourceRepository": "https://github.com/TedTschopp/cat-agent-skills", "sourceCommit": null, "sourcePath": "submissions/booth-loop-video", "sourceUrl": null, "sourceFileSha256": null, "sourcePromptSha256": null, "importedPromptSha256": null, "sourceGuideSha256": null, "importedGuideSha256": null, "sourceFiles": [], "importedFiles": [], "legacyPaths": [], "legacyImage": null, "legacyMetadata": null, "appliedRepairs": [] } }, { "kind": "skill", "kindLabel": "Agent Skill", "slug": "brand-template-enforcer", "name": "Brand Template Enforcer", "title": "Brand Template Enforcer", "description": "Ensure every generated PowerPoint deck or Word document starts from the correct bundled or SharePoint-hosted brand template.", "status": "active", "publicationStatus": "published", "topics": [ "Content and Documentation", "Design and Media" ], "tags": [ "branding", "powerpoint", "word", "templates", "documents", "presentations" ], "keywords": [], "models": [], "compatibility": [], "worksWith": [ "Copilot Studio" ], "author": { "name": "Doug Bellingeri", "url": "https://github.com/CATDAB", "github": "CATDAB", "avatar": null }, "dates": { "created": "2026-07-16T00:00:00.000Z", "updated": "2026-07-18T00:00:00.000Z" }, "entrypoint": "SKILL.md", "payloadPaths": [ "bundles/brand-template-enforcer.zip" ], "payloads": [ { "path": "SKILL.md", "downloadPath": "bundles/brand-template-enforcer.zip" } ], "bundleDownloadPath": "bundles/brand-template-enforcer.zip", "downloadPath": "bundles/brand-template-enforcer.zip", "canonicalPath": "/skills/brand-template-enforcer/", "legacyPaths": [], "featured": false, "version": "1.2.0", "rating": 1, "downloads": 98, "engagement": { "microsoft": { "rating": 1, "comments": 9, "discussions": [ { "number": 129, "url": "https://github.com/microsoft/cat-agent-skills/discussions/129" } ] }, "local": { "rating": 0, "comments": 0, "discussions": [] }, "total": { "rating": 1, "comments": 9 } }, "variables": [], "series": [], "relatedAssetIds": [], "artwork": { "ready": true, "image": "skill-art/brand-template-enforcer.webp", "alt": "A dark master frame aligns a landscape presentation panel and portrait document to the same cyan grid, secured by one orange template pin.", "prompt": "Use case: stylized-concept\nAsset type: AI.Tedt.org skill gallery cover\nPrimary request: Create a premium editorial illustration of an approved brand template physically governing both presentation and document outputs before content is produced.\nScene/backdrop: A warm paper-toned design workshop with a single compact alignment apparatus and generous negative space, not a software screen.\nSubject: One dark-slate master frame with precise cyan margin rails receives a landscape presentation panel and a portrait document sheet from opposite sides; both emerge aligned to the same modular grid, color tabs, and recurring footer bar, while one small orange locking pin secures the approved template.\nStyle/medium: Premium editorial illustration with tactile dimensional detail, layered cut paper, matte ceramic framing, and subtle translucent acrylic guides.\nComposition/framing: Exact 16:10 landscape; crop-safe centered master frame; the two output formats remain visually distinct but unified; no essential detail in the outer 8%; strong simple geometry legible on a small gallery card.\nLighting/mood: Controlled, trustworthy, orderly, quietly technical, with restrained cyan backlighting and a sparing warm orange accent.\nColor palette: Warm paper #F8F6F0, slate #101820, navy #00446F, cyan #00A9E0, sparing orange #E86027.\nConstraints: No text, letters, numbers, placeholder copy, interface labels, logos, trademarks, or watermark; no pseudo-writing or writing-like lines; no paw imagery or paw logo; no cats or cat silhouettes; no Microsoft Office icons, product UI, browser chrome, Microsoft Fluent gradients, or Microsoft branding.", "aspectRatio": "16:10", "width": 1600, "height": 1000, "generator": "OpenAI image generation via Codex", "generatedAt": "2026-08-29T00:00:00.000Z", "sourceHash": "sha256:69abb8f5db24bd2ed5aa2532b0404910770515acf35af2ba7ef4e54064d54a13", "sourceHashVersion": 1, "fallbackGradient": "linear-gradient(135deg, #e86027 0%, #e86027 100%)", "fallbackInitials": "BT" }, "provenance": { "sourceRepository": "https://github.com/TedTschopp/cat-agent-skills", "sourceCommit": null, "sourcePath": "submissions/brand-template-enforcer", "sourceUrl": null, "sourceFileSha256": null, "sourcePromptSha256": null, "importedPromptSha256": null, "sourceGuideSha256": null, "importedGuideSha256": null, "sourceFiles": [], "importedFiles": [], "legacyPaths": [], "legacyImage": null, "legacyMetadata": null, "appliedRepairs": [] } }, { "kind": "skill", "kindLabel": "Agent Skill", "slug": "brand-voice-pass", "name": "Brand Voice Pass", "title": "Brand Voice Pass", "description": "Rewrite drafts into a configurable house style, preserving meaning while removing generic AI phrasing.", "status": "active", "publicationStatus": "published", "topics": [ "Content and Documentation", "Productivity and Automation" ], "tags": [ "writing", "content", "voice", "authoring", "productivity" ], "keywords": [], "models": [], "compatibility": [], "worksWith": [ "Cowork", "Copilot Studio", "Scout" ], "author": { "name": "Simon Owen", "url": "https://github.com/SimonOwenDigital", "github": "SimonOwenDigital", "avatar": null }, "dates": { "created": "2026-07-17T00:00:00.000Z", "updated": "2026-07-17T00:00:00.000Z" }, "entrypoint": "SKILL.md", "payloadPaths": [ "bundles/brand-voice-pass.zip" ], "payloads": [ { "path": "SKILL.md", "downloadPath": "bundles/brand-voice-pass.zip" } ], "bundleDownloadPath": "bundles/brand-voice-pass.zip", "downloadPath": "bundles/brand-voice-pass.zip", "canonicalPath": "/skills/brand-voice-pass/", "legacyPaths": [], "featured": false, "version": "0.1.0", "rating": 0, "downloads": 0, "engagement": { "microsoft": { "rating": 0, "comments": 0, "discussions": [] }, "local": { "rating": 0, "comments": 0, "discussions": [] }, "total": { "rating": 0, "comments": 0 } }, "variables": [], "series": [], "relatedAssetIds": [], "artwork": { "ready": true, "image": "skill-art/brand-voice-pass.webp", "alt": "A complete capped strand of mismatched beads passes through a resonance chamber and emerges as a coherent cyan cadence with one orange beat.", "prompt": "Use case: stylized-concept\nAsset type: AI.Tedt.org skill gallery cover\nPrimary request: Create a premium editorial illustration of generic draft language being tuned into a distinctive, consistent human voice while its core meaning remains intact.\nScene/backdrop: A sparse warm paper-toned acoustic workbench with generous calm negative space and a clean uninterrupted margin on every side, with no literal interface.\nSubject: A compact dark-slate resonance chamber receives one complete finite woven strand with a clearly visible capped beginning. The incoming half contains exactly four mismatched blank geometric beads. A protected navy core bead passes through the chamber unchanged. The outgoing half contains exactly five varied cyan cadence beads plus one restrained orange beat and ends in a clearly visible woven end cap. The full incoming strand, every bead, chamber, protected core bead, complete outgoing strand, and both end caps must be visible in full.\nStyle/medium: Premium editorial illustration with tactile dimensional detail, matte ceramic forms, woven ribbon texture, and subtle translucent acrylic.\nComposition/framing: Exact 16:10 landscape. Keep the complete finite strand and chamber inside the central 76% of the canvas, leaving at least 8% empty warm-paper margin on the left, right, top, and bottom. Every subject, bead, strand, and end cap must stay fully inside the central 84% safe area, from 8% to 92% of both width and height. Nothing may touch or cross the frame. Center the chamber and use a compact left-to-right tuning motion that remains bold and legible on a small gallery card.\nLighting/mood: Human, assured, editorial, quietly technical, with soft studio light and restrained cyan backlighting.\nColor palette: Warm paper #F8F6F0, slate #101820, navy #00446F, cyan #00A9E0, sparing orange #E86027.\nConstraints: No text, letters, numbers, quotations, interface labels, logos, trademarks, or watermark; no pseudo-writing or writing-like lines; no paw imagery or paw logo; no cats or cat silhouettes; no mouth, face, microphone, literal sound-wave icon, product UI, Microsoft Fluent gradients, or Microsoft branding. Do not crop or clip either end cap, any strand segment, any bead, or the chamber.\nTargeted correction of the attached draft: Preserve the same premium resonance-chamber concept, bead sequence, materials, warm-paper background, and horizontal relationship, but uniformly scale the entire finite strand and chamber down and center them so both woven end caps, the full rope, every bead, and the whole chamber are contained between 12% and 88% of the canvas width and between 12% and 88% of the canvas height. Maintain an obvious uninterrupted empty margin on all four sides. Nothing may touch or approach the frame edge.", "aspectRatio": "16:10", "width": 1600, "height": 1000, "generator": "OpenAI image generation via Codex", "generatedAt": "2026-08-29T00:00:00.000Z", "sourceHash": "sha256:d3dc7fee71b6eb4de896243d8217920519ed9444c9efe00e14972b3998c0001b", "sourceHashVersion": 1, "fallbackGradient": "linear-gradient(135deg, #00a9e0 0%, #00a9e0 100%)", "fallbackInitials": "BV" }, "provenance": { "sourceRepository": "https://github.com/TedTschopp/cat-agent-skills", "sourceCommit": null, "sourcePath": "submissions/brand-voice-pass", "sourceUrl": null, "sourceFileSha256": null, "sourcePromptSha256": null, "importedPromptSha256": null, "sourceGuideSha256": null, "importedGuideSha256": null, "sourceFiles": [], "importedFiles": [], "legacyPaths": [], "legacyImage": null, "legacyMetadata": null, "appliedRepairs": [] } }, { "kind": "skill", "kindLabel": "Agent Skill", "slug": "browser-uat-analyst", "name": "Browser UAT Analyst", "title": "Browser UAT Analyst", "description": "Run evidence-driven UAT on any browser-based app — Copilot Studio, Power Platform, Dataverse, Dynamics 365, admin centres, or a custom web app — with Playwright execution, a screenshot evidence ledger, and failure classification that separates product defects from tenant config.", "status": "active", "publicationStatus": "published", "topics": [ "Governance, Risk, and Compliance", "AI and Agents", "Productivity and Automation" ], "tags": [ "testing", "uat", "playwright", "quality", "copilot-studio", "power-platform", "automation" ], "keywords": [], "models": [], "compatibility": [], "worksWith": [ "Scout" ], "author": { "name": "Al Macey", "url": "https://github.com/amacey-msft", "github": "amacey-msft", "avatar": null }, "dates": { "created": "2026-08-04T00:00:00.000Z", "updated": "2026-08-04T00:00:00.000Z" }, "entrypoint": "SKILL.md", "payloadPaths": [ "skills/browser-uat-analyst.md" ], "payloads": [ { "path": "SKILL.md", "downloadPath": "skills/browser-uat-analyst.md" } ], "bundleDownloadPath": null, "downloadPath": "skills/browser-uat-analyst.md", "canonicalPath": "/skills/browser-uat-analyst/", "legacyPaths": [], "featured": false, "version": "1.0.0", "rating": 0, "downloads": 0, "engagement": { "microsoft": { "rating": 0, "comments": 0, "discussions": [] }, "local": { "rating": 0, "comments": 0, "discussions": [] }, "total": { "rating": 0, "comments": 0 } }, "variables": [], "series": [], "relatedAssetIds": [], "artwork": { "ready": true, "image": "skill-art/browser-uat-analyst.webp", "alt": "A cyan-lit inspection lens compares three glass application-state panes, isolates an orange discrepancy, and routes blank evidence plates into separate channels.", "prompt": "Use case: stylized-concept\nAsset type: AI.Tedt.org skill gallery cover\nPrimary request: a precision inspection gantry examines a sequence of wide glass application-state panes and turns each observed state into paired evidence plates, visualizing browser UAT grounded in screenshots and careful failure classification\nScene/backdrop: a sparse testing laboratory on warm-paper negative space above a compact dark-slate work surface\nSubject: one large cyan-rimmed optical lens suspended over three translucent landscape panes that repeat the same simple geometric scene, with a small orange displacement visible in one pane and corresponding blank evidence plates arranged in separate channels below\nStyle/medium: premium editorial illustration with tactile dimensional detail\nComposition/framing: exact 16:10 landscape; crop-safe focal subject centered with a strong silhouette; no essential detail in the outer 8%; immediately legible at small gallery-card size\nLighting/mood: calm, skeptical, methodical, quietly technical, with restrained cyan backlighting\nColor palette: warm paper #F8F6F0, slate #101820, navy #00446F, cyan #00A9E0, sparing orange #E86027\nConstraints: no text, letters, numbers, interface labels, logos, trademarks, or watermark; no paw imagery or paw logo; no cats or cat silhouettes; no product UI, browser chrome, literal screenshots, checkmarks, status icons, or Microsoft Fluent branding", "aspectRatio": "16:10", "width": 1600, "height": 1000, "generator": "OpenAI image generation via Codex", "generatedAt": "2026-08-29T00:00:00.000Z", "sourceHash": "sha256:491df507c7d504df189d67dba13a72fb54333f8962a753c872e3ed52873172bf", "sourceHashVersion": 1, "fallbackGradient": "linear-gradient(135deg, #00a9e0 0%, #00a9e0 100%)", "fallbackInitials": "BU" }, "provenance": { "sourceRepository": "https://github.com/TedTschopp/cat-agent-skills", "sourceCommit": null, "sourcePath": "submissions/browser-uat-analyst", "sourceUrl": null, "sourceFileSha256": null, "sourcePromptSha256": null, "importedPromptSha256": null, "sourceGuideSha256": null, "importedGuideSha256": null, "sourceFiles": [], "importedFiles": [], "legacyPaths": [], "legacyImage": null, "legacyMetadata": null, "appliedRepairs": [] } }, { "kind": "prompt-template", "kindLabel": "Prompt Template File", "slug": "business-case-and-requirements-assistant", "name": "Business Case and Requirements Assistant", "title": "Business Case and Requirements Assistant", "description": "A rigorous, step-by-step Agile coaching prompt that transforms vague goals into clear user stories, requirements, and SMART acceptance criteria—complete with verification and validation approaches.", "status": "active", "publicationStatus": "published", "topics": [ "Planning and Delivery", "Business and Strategy" ], "tags": [ "Requirements Engineering", "Product Management", "Planning", "Business Strategy" ], "keywords": [ "business strategy", "Gherkin", "MBSE", "product requirements", "requirements analysis", "user personas", "verification & validation" ], "models": [ "github-copilot", "gpt-4", "gpt-4-mini", "gpt-4.1", "gpt-4o", "microsoft-copilot", "o4-mini", "o4-mini-high" ], "compatibility": [ "chatgpt", "github-copilot", "microsoft-copilot" ], "worksWith": [ "chatgpt", "github-copilot", "microsoft-copilot" ], "author": { "name": "Ted Tschopp", "url": "https://tedt.org/", "github": null, "avatar": "https://secure.gravatar.com/avatar/a76b4d6291cecb3a738896a971bfb903?s=512&d=mp&r=g" }, "dates": { "created": "2025-08-19T00:00:00.000Z", "updated": null }, "entrypoint": "business-case-and-requirements-assistant.prompt.md", "payloadPaths": [ "business-case-and-requirements-assistant.prompt.md" ], "payloads": [ { "path": "business-case-and-requirements-assistant.prompt.md", "downloadPath": "bundles/business-case-and-requirements-assistant.prompt.md" } ], "bundleDownloadPath": null, "downloadPath": "bundles/business-case-and-requirements-assistant.prompt.md", "canonicalPath": "/prompts/business-case-and-requirements-assistant/", "legacyPaths": [ "/prompts/business-case-and-requirements-assistant/" ], "featured": false, "version": null, "rating": 0, "downloads": 0, "engagement": { "microsoft": { "rating": 0, "comments": 0, "discussions": [] }, 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