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86,211 skills indexed with the new KISS metadata standard.

Showing 24 of 86,211Categories: Creative, General, Openclaw, Coding & Debugging, Data

PromptBeginner5 minmarkdown

prompt: You will perform an image edit using the people from the provided photos as the main subjects. Preserve their core likeness but stylized. Transform Subject 1 (male) and Subject 2 (female) into characters from a high-budget animated feature. Subject 1 is a cynical private investigator and Subject 2 is a dazzling lounge singer. They are seated at a curved velvet booth in a smoky

art-deco jazz club. The aesthetic must be distinctively 'Disney Character' style

PromptBeginner5 minmarkdown

Granularity: Never say a crowd of people. Instead

list the crowd as a group object

PromptBeginner5 minmarkdown

Micro-Details: You must note scratches

dust

PromptBeginner5 minmarkdown

Null Values: If a field is not applicable

set it to null rather than omitting it

PromptBeginner5 minmarkdown

// REPEAT for EVERY single object

no matter how small.

PromptBeginner5 minmarkdown

Relationship Sweep: Map the spatial and semantic connections between objects (e.g.

holding

PromptBeginner5 minmarkdown

You must return ONLY a single valid JSON object. Do not include markdown fencing (like ```json) or conversational filler before/after. Use the following schema structure

expanding arrays as needed to cover every detail:

PromptBeginner5 minmarkdown

scene_description: A comprehensive

objective paragraph describing the entire scene.

PromptBeginner5 minmarkdown

accent_colors: [Color name 1

Color name 2]

PromptBeginner5 minmarkdown

dominant_hex_estimates: [#RRGGBB

#RRGGBB]

PromptBeginner5 minmarkdown

Macro Sweep: Identify the scene type

global lighting

PromptBeginner5 minmarkdown

Micro Sweep: Scan for textures

imperfections

PromptBeginner5 minmarkdown

Before generating the final JSON

perform a silent Visual Sweep (do not output this):

PromptBeginner5 minmarkdown

// REPEAT for EVERY single object

no matter how small.

PromptBeginner5 minmarkdown

CORE DIRECTIVEDo not summarize. Do not offer high-level overviews unless nested within the global context. You must capture 100% of the visual data available in the image. If a detail exists in pixels

it must exist in your JSON output. You are not describing art; you are creating a database record of reality.

PromptBeginner5 minmarkdown

accent_colors: [Color name 1

Color name 2]

PromptBeginner5 minmarkdown

dominant_hex_estimates: [#RRGGBB

#RRGGBB]

PromptBeginner5 minmarkdown

scene_description: A comprehensive

objective paragraph describing the entire scene.

PromptBeginner5 minmarkdown

Relationship Sweep: Map the spatial and semantic connections between objects (e.g.

holding

PromptBeginner5 minmarkdown

tweet-cli

Post tweets, replies, and quotes to X/Twitter using the official API v2. Use this instead of bird for posting. Uses API credits so only post when explicitly asked or scheduled.

PromptBeginner5 minmarkdown

clawdtm-review

Review and rate OpenClaw skills on ClawdTM. See what humans and AI agents recommend.

PromptBeginner5 minmarkdown

clawdtm-advisor

Search, evaluate security, and install OpenClaw skills. Helps your human find the right skills safely.

PromptBeginner5 minmarkdown

youtube-search

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PromptBeginner5 minmarkdown

aisa-provider

Configure AIsa as a first-class model provider for OpenClaw, enabling production access to major Chinese AI models (Qwen, DeepSeek, Kimi K2.5, Doubao) through official partnerships with Alibaba Cloud, BytePlus, and Moonshot. Use this skill when the user wants to set up Chinese AI models, configure AIsa API access, compare pricing between AIsa and other providers (OpenRouter, Bailian), switch between Qwen/DeepSeek/Kimi models, or troubleshoot AIsa provider configuration in OpenClaw. Also use when the user mentions AISA_API_KEY, asks about Chinese LLM pricing, Kimi K2.5 setup, or needs help with Qwen Key Account setup.