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Agentient

Official

@agentient

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108Published Skills

Offers specialized engineering patterns for full-stack Next.js, GCP infrastructure, and structured research orchestration using standardized documentation and validation frameworks.

Skills Distribution
DomainDeveloper To...Full-Stack Web Eng.. (35%)Cloud Infrastructu.. (25%)Research & Prompt .. (20%)Quality Assurance .. (20%)

Agent Skills by Agentient

Showing 108 vetted skills indexed across 1 GitHub repositories.

AgentientAgentient
2

advanced-caching-strategies

Design multi-layer caching across CDN, browser, server, and database.

Official
Advanced
AgentientAgentient
2

frontend-bundle-analysis-and-optimization

Analyze and optimize JavaScript bundle size in Next.js projects.

Official
Advanced
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2

python-advanced-profiling-and-optimization

Profile Python CPU and memory bottlenecks with cProfile and py-spy.

Official
Advanced
AgentientAgentient
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browser-runtime-performance-profiling

Profile browser runtime performance with Chrome DevTools to diagnose rendering bottlenecks and long tasks.

Official
Intermediate
AgentientAgentient
2

nextjs-rsc-performance-patterns

Analyze data-fetching patterns in Next.js 14+ apps to reduce latency.

Official
Advanced
AgentientAgentient
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react-concurrency-and-memoization

Guide React 18+ concurrency and memoization strategies for responsive UIs.

Official
Advanced
AgentientAgentient
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advanced-skill-creator

Generate domain-specific SKILL.md files with templates and parameter presets.

Official
Advanced
AgentientAgentient
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performance-tuning

Optimize RAG performance with re-ranking, query expansion, and semantic caching.

Official
Basic
AgentientAgentient
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corpus-lifecycle

Automate Vertex AI RAG corpus creation, updates, and deletion.

Official
Intermediate
AgentientAgentient
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pydantic-schema

Define and validate Pydantic schemas for RAG pipeline data models.

Official
Basic
AgentientAgentient
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embedding-strategy

Configure asymmetric embedding paths with RETRIEVAL_DOCUMENT and RETRIEVAL_QUERY task types.

Official
Intermediate
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advanced-query

Design RAG queries with mandatory citation attribution and chunk-level provenance.

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Basic
AgentientAgentient
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intelligent-ingestion

Ingest and chunk documents for retrieval-augmented generation workflows.

Official
Basic
AgentientAgentient
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authentication-session-security

Implements credential-free sign-in for select Google services via trusted intermediaries.

Official
Basic
AgentientAgentient
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privacy-consent

Manage GDPR/CCPA consent tracking and data minimization across web applications.

Official
Basic
AgentientAgentient
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secure-headers

Configure and enforce secure HTTP headers for web applications.

Official
Basic
AgentientAgentient
2

owasp-code-analysis

Detect OWASP Top 10 2021 vulnerabilities in codebases and configurations.

Official
Basic
AgentientAgentient
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security-testing

Identify software vulnerabilities and outline remediation steps for codebases and CI/CD pipelines.

Official
Intermediate
AgentientAgentient
2

gcp-hardening

Enforce IAM least privilege, VPC security, and Secret Manager usage on Google Cloud Platform.

Official
Basic
AgentientAgentient
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access-control-patterns

Identify insecure direct object references and privilege escalation risks in web APIs and services.

Official
Basic
AgentientAgentient
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advanced-js-mocking-patterns

Identify and implement Jest and Vitest mock patterns for unit and integration tests.

Official
Advanced
AgentientAgentient
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python-testing-patterns

Organize and execute Python tests with Pytest fixtures, parametrization, and mocking.

Official
Intermediate
AgentientAgentient
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qa-strategy-and-metrics

Design QA strategies and track code quality metrics across frontend and backend projects.

Official
Intermediate
AgentientAgentient
2

test-coverage-analysis

Analyze pytest-cov and Istanbul/Jest coverage reports to identify gaps and enforce thresholds.

Official
Advanced

Frequently Asked Questions About Agentient

FAQPage Schema
What specific technical tasks does Agentient enable?

Agentient enables high-performance web development, GCP infrastructure provisioning, and structured research orchestration. It provides patterns for Next.js App Router data fetching, Firestore security rule generation, OpenTelemetry instrumentation, and Pydantic-based schema validation for MCP-compliant services.

Which engineering personas benefit from these skills?

These skills are designed for full-stack engineers, cloud architects, and technical researchers. They target professionals building scalable web applications on Google Cloud, developers implementing rigorous testing and observability, and teams requiring structured, defendable decision-making through expert panel deliberation.

What are the core prerequisites for implementing these patterns?

Implementation requires familiarity with TypeScript, Python 3.13, and the Google Cloud ecosystem. Users should have existing access to Vertex AI, Firebase, and Terraform environments to leverage the provided scaffolding, security hardening, and deployment patterns effectively.