How do I install the Conditional Domain Specific Template skill?

Run npx skillmds add majiayu000/conditional-domain-specific-template in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Conditional Domain Specific Template safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Conditional Domain Specific Template?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Conditional Domain Specific Template free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Conditional Domain Specific Template?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Conditional Domain Specific Template by majiayu000

Name: Conditional Domain Specific Template
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

name: conditional-domain-specific-template description: [REPLACE] Apply domain-specific logic based on detected context. Use when [REPLACE with specific triggers]. allowed-tools: Read, TodoWrite

Conditional Domain-Specific Template

Purpose

This template demonstrates context-aware workflows that adapt based on domain, technology, or data characteristics.

Use this template when:

Behavior varies by framework/language/domain
Different rule sets apply to different contexts
Progressive disclosure by detected context
Multiple technology stacks supported

Workflow

Phase 1: Detect Context

Phase 2: Load Domain Rules

Phase 3: Apply Domain Logic

Context Detection

Financial Data:

Keywords: revenue, profit, QoQ, YoY, EBITDA
Date ranges with quarterly/annual patterns
Currency symbols and financial notation

Scientific Data:

Keywords: mean, median, standard deviation, p-value
Statistical notation
Hypothesis testing language

Business Metrics:

Keywords: KPI, conversion, retention, churn
Percentage-based metrics
Funnel analysis patterns

Progressive Disclosure

Core workflow (this file):

Context detection logic
Domain routing rules
High-level processing flow

Domain-specific details (references/):

references/financial-analysis.md - Financial calculations and formulas
references/scientific-calculations.md - Statistical methods
references/business-metrics.md - KPI calculations

Example Usage

<detect-context>
Detected: Financial data (contains "revenue", "QoQ", quarterly dates)
Domain: Financial Analysis
Loading: /references/financial-analysis.md
</detect-context>

<apply-logic>
Calculating QoQ revenue growth:
Q4 2024: $1.2M → Q1 2025: $1.5M
QoQ Growth: +25.0%

YoY revenue comparison:
Q1 2024: $0.9M → Q1 2025: $1.5M
YoY Growth: +66.7%

Forecast Q2 2025: $1.7M (based on trend)
</apply-logic>

---name: conditional-domain-specific-templatedescription: [REPLACE] Apply domain-specific logic based on detected context. Use when [REPLACE with specific triggers].--- --- name: conditional-domain-specific-template description: [REPLACE] Apply domain-specific logic based on detected context. Use when [REPLACE with specific triggers]. allowed-tools: Read, TodoWrite --- # Conditional Domain-Specific Template ## Purpose This template demonstrates context-aware workflows that adapt based on domain, technology, or data characteristics. **Use this template when:** - Behavior varies by framework/language/domain - Different rule sets apply to different contexts - Progressive disclosure by detected context - Multiple technology stacks supported ## Workflow ### Phase 1: Detect Context <detect-context> 1. Analyze input to determine domain 2. Identify relevant technology stack 3. Load domain-specific rules 4. Select appropriate processing path </detect-context> ### Phase 2: Load Domain Rules <load-rules> Based on detected context: - Financial: @references/financial-analysis.md - Scientific: @references/scientific-calculations.md - Business: @references/business-metrics.md </load-rules> ### Phase 3: Apply Domain Logic <apply-logic> 1. Use domain-specific formulas 2. Apply domain conventions 3. Validate against domain constraints 4. Format output per domain standards </apply-logic> ## Context Detection **Financial Data:** - Keywords: revenue, profit, QoQ, YoY, EBITDA - Date ranges with quarterly/annual patterns - Currency symbols and financial notation **Scientific Data:** - Keywords: mean, median, standard deviation, p-value - Statistical notation - Hypothesis testing language **Business Metrics:** - Keywords: KPI, conversion, retention, churn - Percentage-based metrics - Funnel analysis patterns ## Progressive Disclosure **Core workflow (this file):** - Context detection logic - Domain routing rules - High-level processing flow **Domain-specific details (references/):** - references/financial-analysis.md - Financial calculations and formulas - references/scientific-calculations.md - Statistical methods - references/business-metrics.md - KPI calculations ## Example Usage ```xml <detect-context> Detected: Financial data (contains "revenue", "QoQ", quarterly dates) Domain: Financial Analysis Loading: /references/financial-analysis.md </detect-context> <apply-logic> Calculating QoQ revenue growth: Q4 2024: $1.2M → Q1 2025: $1.5M QoQ Growth: +25.0% YoY revenue comparison: Q1 2024: $0.9M → Q1 2025: $1.5M YoY Growth: +66.7% Forecast Q2 2025: $1.7M (based on trend) </apply-logic> ```

Frequently asked questions