You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configuration testing strategies, and ensure configurations are secure, consistent, and error-free across all environments.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondeployment-validation-config-validateExecute the skills CLI command in your project's root directory to begin installation:
Fetches deployment-validation-config-validate from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate deployment-validation-config-validate. Access via /deployment-validation-config-validate in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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You are a configuration management expert specializing in validating, testing, and ensuring the correctness of application configurations. Create comprehensive validation schemas, implement configuration testing strategies, and ensure configurations are secure, consistent, and error-free across all environments.
The user needs to validate configuration files, implement configuration schemas, ensure consistency across environments, and prevent configuration-related errors. Focus on creating robust validation rules, type safety, security checks, and automated validation processes.
$ARGUMENTS
Analyze existing configuration structure and identify validation needs:
import os
import yaml
import json
from pathlib import Path
from typing import Dict, List, Any
class ConfigurationAnalyzer:
def analyze_project(self, project_path: str) -> Dict[str, Any]:
analysis = {
'config_files': self._find_config_files(project_path),
'security_issues': self._check_security_issues(project_path),
'consistency_issues': self._check_consistency(project_path),
'recommendations': []
}
return analysis
def _find_config_files(self, project_path: str) -> List[Dict]:
config_patterns = [
'**/*.json', '**/*.yaml', '**/*.yml', '**/*.toml',
'**/*.ini', '**/*.env*', '**/config.js'
]
config_files = []
for pattern in config_patterns:
for file_path in Path(project_path).glob(pattern):
if not self._should_ignore(file_path):
config_files.append({
'path': str(file_path),
'type': self._detect_config_type(file_path),
'environment': self._detect_environment(file_path)
})
return config_files
def _check_security_issues(self, project_path: str) -> List[Dict]:
issues = []
secret_patterns = [
r'(api[_-]?key|apikey)',
r'(secret|password|passwd)',
r'(token|auth)',
r'(aws[_-]?access)'
]
for config_file in self._find_config_files(project_path):
content = Path(config_file['path']).read_text()
for pattern in secret_patterns:
if re.search(pattern, content, re.IGNORECASE):
if self._looks_like_real_secret(content, pattern):
issues.append({
'file': config_file['path'],
'type': 'potential_secret',
'severity': 'high'
})
return issues
Implement configuration schema validation with JSON Schema:
import Ajv from 'ajv';
import ajvFormats from 'ajv-formats';
import { JSONSchema7 } from 'json-schema';
interface ValidationResult {
valid: boolean;
errors?: Array<{
path: string;
message: string;
keyword: string;
}>;
}
export class ConfigValidator {
private ajv: Ajv;
constructor() {
this.ajv = new Ajv({
allErrors: true,
strict: false,
coerceTypes: true
});
ajvFormats(this.ajv);
this.addCustomFormats();
}
private addCustomFormats() {
this.ajv.addFormat('url-https', {
type: 'string',
validate: (data: string) => {
try {
return new URL(data).protocol === 'https:';
} catch { return false; }
}
});
this.ajv.addFormat('port', {
type: 'number',
validate: (data: number) => data >= 1 && data <= 65535
});
this.ajv.addFormat('duration', {
type: 'string',
validate: /^\d+[smhd]$/
});
}
validate(configData: any, schemaName: string): ValidationResult {
const validate = this.ajv.getSchema(schemaName);
if (!validate)<Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
deployment-validation-config-validate has been reliable in day-to-day use. Documentation quality is above average for community skills.
deployment-validation-config-validate reduced setup friction for our internal harness; good balance of opinion and flexibility.
deployment-validation-config-validate fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added deployment-validation-config-validate from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in deployment-validation-config-validate — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
deployment-validation-config-validate reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added deployment-validation-config-validate from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for deployment-validation-config-validate matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend deployment-validation-config-validate for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: deployment-validation-config-validate is the kind of skill you can hand to a new teammate without a long onboarding doc.
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