{"slug":"mengto-generate-reference-inspired-brand-worlds","name":"generate-reference-inspired-brand-worlds","description":"Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs.","long_description":"---\nname: generate-reference-inspired-brand-worlds\ndescription: Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs.\n---\n\n# Generate Reference-Inspired Brand Worlds\n\nCreate brand concepts that feel intentionally related to a reference while changing the identity, meaning, subjects, and signature composition. Treat this as an art-direction layer over the available image-generation workflow.\n\n## Start correctly\n\n1. Load and inspect every supplied image before prompting.\n2. Label each input explicitly:\n   - `Image 1: primary visual-language reference`\n   - `Image 2: current concept/content anchor` when revising an existing result\n3. Use the available image-generation tool. When the built-in `imagegen` skill is available, load it and follow its save, reference, iteration, and validation rules.\n4. Treat a style reference as guidance, not an edit target, unless the user asks to preserve specific pixels.\n5. Keep the reference image out of reusable skill assets unless the user owns it and explicitly authorizes redistribution.\n\n## Set the similarity dial\n\nUse the user's language to choose a target. The numbers communicate intent; they are not measurable similarity scores.\n\n- **30% — distant inspiration:** keep only abstract principles such as mood, density, or contrast.\n- **50% — recognizable influence:** share medium and emotional tone; change palette, composition, subjects, and type system.\n- **70% — adjacent brand family:** share the reference's composition logic, texture, palette relationships, human presence, and wordmark scale while creating new subjects, actions, arrangement, and letterforms. Default here for “not too different from the inspiration.”\n- **85% — close art-direction neighbor:** preserve most high-level visual grammar but change at least four signature elements. Do not recreate an exact commercial identity.\n\nIf the user says “inspired, not copying,” preserve originality even when they request the 70–85% range.\n\n## Extract visual DNA\n\nWrite two short lists before generating.\n\n### Reusable visual grammar\n\nCapture high-level relationships:\n\n- scene density and depth layers\n- palette relationships rather than exact swatches\n- print, photographic, painterly, woven, or halftone surface\n- lighting and emotional temperature\n- type scale, weight, contrast, and placement logic\n- amount and role of human presence\n- rhythm of organic and architectural forms\n\n### Protected signature elements\n\nDo not reproduce:\n\n- exact people, poses, gestures, clothing, or choreography\n- exact flower beds, objects, silhouettes, or motif arrangement\n- exact foreground-to-background layout or negative-space shape\n- source brand name, slogans, logos, or proprietary marks\n- distinctive wordmark letterforms\n- recognizable pixel-for-pixel composition\n\nWhen a reference has one famous or unusually distinctive feature, abstract the principle behind it instead of repeating the feature.\n\n## Build a distinct-brand matrix\n\nFor a multi-brand set, hold 4–6 constants and vary the brand story.\n\nShared constants can include:\n\n- aspect ratio\n- medium and texture\n- palette relationship\n- wordmark color, scale, and placement\n- scene density\n- emotional tone\n\nVary at least these fields for every brand:\n\n| Field | Requirement |\n|---|---|\n| Name | New, exact, and legible |\n| Meaning | A specific product, mission, or cultural role |\n| Environment | A world that expresses the meaning |\n| Human ritual | A unique action, not generic posing |\n| Signature motif | One memorable brand-specific object or natural system |\n\nThe set should read as one art-direction family, not five color swaps and not five unrelated styles.\n\n## Write one prompt per brand\n\nUse one image-generation call per distinct brand. Do not request five different concepts as variants of one prompt.\n\nUse this prompt spine:\n\n```text\nUse case: style-transfer\nAsset type: 16:9 landscape brand campaign key visual\nPrimary request: Create an original identity image for \"<NAME>\" at approximately <DIAL>% similarity to Image 1's high-level visual grammar.\nInput images: Image 1 is the primary visual-language reference; Image 2 is the current concept/content anchor when present.\nBrand meaning: <specific meaning and promise>\nScene/backdrop: <new world tied to that meaning>\nSubject: <new people, action, and brand ritual>\nStyle/medium: <reference-adjacent medium and tactile surface>\nComposition/framing: <shared composition logic with a materially new arrangement>\nColor palette: <relationship to the reference, not exact color sampling>\nText (verbatim): \"<NAME>\"\nTypography: <shared scale/placement logic with original letterforms>; render exactly once.\nConstraints: preserve the requested similarity range and brand meaning; original scene; no extra text; no watermark.\nAvoid: exact source poses, objects, layout, motif arrangement, marks, slogans, and letterforms.\n```\n\nFor an unusual name, spell it once in the prompt, for example `M-O-S-S-W-E-F-T`, then require the normal wordmark exactly once.\n\n## Revise without losing the concept\n\nWhen the user asks for a closer V2:\n\n1. Use the original reference as Image 1.\n2. Use the current concept as Image 2.\n3. Preserve the current name and meaning.\n4. Change only the similarity target and the shared visual grammar.\n5. Restate all protected signature exclusions.\n6. Save as a versioned sibling such as `brand-name-v2.png`; never overwrite V1 by default.\n\nUse a targeted instruction such as:\n\n```text\nMove this concept from roughly 40% to 70% similarity to Image 1's high-level visual grammar. Keep the exact brand name, meaning, and core subject from Image 2. Increase the reference-adjacent scene density, print texture, palette relationship, theatrical staging, and wordmark scale. Create new poses, motifs, spatial arrangement, and letterforms. Do not reproduce the source composition.\n```\n\n## Validate every output\n\nInspect each final image and check:\n\n- exact wordmark spelling and one occurrence only\n- no extra copy or accidental marks\n- brand meaning is visible without explanation\n- shared family resemblance across the set\n- requested similarity dial is plausible\n- at least four signature elements differ from the reference\n- each brand differs from the other variants in meaning, ritual, environment, and motif\n- correct aspect ratio and usable resolution\n- unique file and non-destructive versioning\n\nIf one check fails, iterate with one targeted change and re-inspect. Do not rewrite the entire prompt unless the concept itself is wrong.\n\n## Save and hand off\n\n- Persist every requested final asset in the project workspace.\n- Keep generated originals in the image tool's default location and copy selected files into the project.\n- Use descriptive filenames such as `kintra-movement-collective-v2.png`.\n- Report the saved paths, generation mode, similarity dial, concise prompt set, validation result, and whether previous versions were preserved.\n- Stage and commit only the new skill or generated assets when working in a dirty repository.\n\n## Worked examples\n\nRead [references/example-prompts.md](references/example-prompts.md) when generating a multi-brand set or a closer-to-reference V2. It contains the MOSSWEFT, KINTRA, NIGHTJAR, TIDETURN, and EMBERHOUSE prompt patterns.\n\nInspect `assets/examples/` only when visual comparison helps. Those images demonstrate a 70% adjacent-family result and are examples, not templates to copy.\n","tagline":"Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated conc","category":"design-creative","tags":["agent-skill"],"author":"MengTo","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github fast track","sourceDetail":"MengTo/Skills","creatorName":"MengTo","creatorUrl":"https://github.com/MengTo","sourceUrl":"https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/mengto-generate-reference-inspired-brand-worlds#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":69,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","summary":"Good audit and safety signals with no high-risk permission hints in public metadata.","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_policy":"review","reasons":["Safe-to-try audit","69/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["Quality score needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","69/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":82,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Agent safety gate: Good audit and safety signals with no high-risk permission hints in public metadata.","Quality score needs review"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate generate-reference-inspired-brand-worlds before installing it in an agent workflow","design-creative","GitHub automation workflows; 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Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"generate-reference-inspired-brand-worlds\" as a Claude Code skill from https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mengto-generate-reference-inspired-brand-worlds\",\"task\":\"Install generate-reference-inspired-brand-worlds\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mengto-generate-reference-inspired-brand-worlds\",\"task\":\"Install generate-reference-inspired-brand-worlds\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"generate-reference-inspired-brand-worlds\" as a Claude Code skill from https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mengto-generate-reference-inspired-brand-worlds\",\"task\":\"Install generate-reference-inspired-brand-worlds\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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creative","maintenance":"10d since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use generate-reference-inspired-brand-worlds in an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 87/100 Production candidate","Audit: 89/100 Safe to try","Safety: 69/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"mengto-generate-reference-inspired-brand-worlds (generate-reference-inspired-brand-worlds)","install_command":"npx skills add MengTo/Skills --skill generate-reference-inspired-brand-worlds","risk_summary":"Safe to try; Reviewed; Low metadata risk","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"mengto-generate-reference-inspired-brand-worlds","task":"Use generate-reference-inspired-brand-worlds in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/mengto-generate-reference-inspired-brand-worlds","api":"https://www.openagentskill.com/api/agent/skills/mengto-generate-reference-inspired-brand-worlds","audit":"https://www.openagentskill.com/skills/mengto-generate-reference-inspired-brand-worlds/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=mengto-generate-reference-inspired-brand-worlds&task=Use%20generate-reference-inspired-brand-worlds%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20generate-reference-inspired-brand-worlds%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20generate-reference-inspired-brand-worlds%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/mengto-generate-reference-inspired-brand-worlds/install","manifest":"https://www.openagentskill.com/api/registry/manifest/mengto-generate-reference-inspired-brand-worlds"}},"supply_profile":{"track":{"slug":"design","label":"Design and creative production","shortLabel":"Design","description":"Design assets, images, video, audio, multimodal media, presentation, and creative production skills."},"scenario":{"label":"Design and creative","description":"I need my agent to produce design assets, UI directions, presentations, or creative media workflows.","useCases":[{"slug":"github-automation","title":"GitHub automation"},{"slug":"local-desktop","title":"Local desktop"},{"slug":"browser-automation","title":"Browser automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add MengTo/Skills --skill generate-reference-inspired-brand-worlds","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":5689,"starsLabel":"5.7K","forks":685,"license":"MIT","qualityScore":84,"trustScore":87,"auditScore":89},"maintenance":{"status":"fresh","label":"10d since push","daysSincePush":10,"lastPushedAt":"2026-08-28T23:38:17+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":true,"notes":["Quality score needs review"]},"coverageTags":["Design","Design and creative","design-creative","agent-skill"]},"audit":{"audit_score":89,"risk_level":"safe_to_try","risk_label":"Safe to try","quality_score":84,"trust_score":87,"maintenance_score":100,"security_score":88,"install_score":92,"warnings":["Quality score needs review"]},"quality_signals":{"model":"v2","star_score":26.29,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"}],"install":"npx skills add MengTo/Skills --skill generate-reference-inspired-brand-worlds","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add mengto-generate-reference-inspired-brand-worlds","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"generate-reference-inspired-brand-worlds\" agent skill from https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mengto-generate-reference-inspired-brand-worlds\",\"task\":\"Install generate-reference-inspired-brand-worlds\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"generate-reference-inspired-brand-worlds\" as a Claude Code skill from https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mengto-generate-reference-inspired-brand-worlds\",\"task\":\"Install generate-reference-inspired-brand-worlds\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"generate-reference-inspired-brand-worlds\" from https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"mengto-generate-reference-inspired-brand-worlds\",\"task\":\"Install generate-reference-inspired-brand-worlds\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds","github_repo":"MengTo/Skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/mengto-generate-reference-inspired-brand-worlds","repository":"https://github.com/MengTo/Skills/tree/main/agent-skills/codex/generate-reference-inspired-brand-worlds","api":"/api/agent/skills/mengto-generate-reference-inspired-brand-worlds","install_api":"/api/skills/mengto-generate-reference-inspired-brand-worlds/install"},"meta":{"created_at":"2026-09-01T17:11:11.777438+00:00","updated_at":"2026-09-01T17:11:11.905319+00:00","agent_friendly":true}}