account-research
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM.…
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility. Use when exact v1
$ npx -y skills add charlieviettq/awesome-agent-skill --skill design-taste-frontend-v1 --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/design-taste-frontend-v1Context preview
The summary Claude sees to decide when to auto-load this skill.
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility. Use when exact v1
name: design-taste-frontend-v1 description: "The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility. Use when exact v1 design-taste behavior is needed for frontend design work." allowed-tools: Bash, Read, Write, Edit, Glob, Grep
**AI Instruction:** The standard baseline for all generations is strictly set to these values (8, 6, 4). Do not ask the user to edit this file. Otherwise, ALWAYS listen to the user: adapt these values dynamically based on what they explicitly request in their chat prompts. Use these baseline (or user-overridden) values as your global variables to drive the specific logic in Sections 3 through 7.
Unless the user explicitly specifies a different stack, adhere to these structural constraints to maintain consistency:
LLMs have statistical biases toward specific UI cliché patterns. Proactively construct premium interfaces using these engineered rules:
**Rule 1: Deterministic Typography**
**Rule 2: Color Calibration**
**Rule 3: Layout Diversification**
**Rule 4: Materiality, Shadows, and "Anti-Card Overuse"**
**Rule 5: Interactive UI States**
**Rule 6: Data & Form Patterns**
Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM.…
Evaluate LLM agents and tool-using workflows—task success, tool accuracy, latency/cost, safety, and regression suites. Use when shipping agent features,…
Design agent tools and CLI surfaces—schemas, naming, errors, idempotency, and discoverability for LLM callers. Use when defining tools for agents, SDKs, or…
\"Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding…
\"Optimize advertising budget allocation across campaigns using marginal returns analysis. Use this skill when the user needs to distribute budget across…
\"Build CTR prediction models for estimating ad click-through rates from features. Use this skill when the user needs to predict click probability, build an ad…