chandrudp29

34 mods across 1 repository, 13 stars between them.

agent-builder

01

chandrudp29/skillhub

Skill Claude CodeCodex

Build production-ready LLM agents with LangGraph, tool use, memory, streaming, and error handling. Use when designing or implementing an AI agent, multi-agent system, or agentic workflow.

13 2mo ago A 42 tokens original MIT

api-design

02

chandrudp29/skillhub

Skill Claude CodeCodex

Design REST APIs with consistent naming, error handling, versioning, and pagination. Use when designing a new API, reviewing an existing one, or writing an OpenAPI spec.

13 2mo ago A 38 tokens original MIT

backend-architect

03

chandrudp29/skillhub

Skill Claude CodeCodex

Senior backend architect persona — scalable system design, database architecture, API contracts, microservices, observability, and security-first engineering.

13 2mo ago A 30 tokens original MIT

career-ops

04

chandrudp29/skillhub

Skill Claude CodeCodex

Global AI/ML job hunt — USA, Europe, Singapore, Dubai, remote-first startups. Daily fetch, score, and track Senior AI/ML Engineer roles with LangChain/LangGraph/agent stack.

13 2mo ago A 46 tokens original MIT

cicd-agent

05

chandrudp29/skillhub

Skill Claude CodeCodex

CI/CD pipeline design and review — GitHub Actions, pipeline best practices, secrets management, deployment strategies, and release automation.

13 2mo ago A 29 tokens original MIT

code-reviewer

06

chandrudp29/skillhub

Skill Claude CodeCodex

Structured code review across five axes — correctness, security, performance, maintainability, and test coverage. Use when user asks to review code, check a PR, or audit a diff.

13 2mo ago A 41 tokens original MIT

cost-tracker

07

chandrudp29/skillhub

Skill Claude CodeCodex

Track, estimate, and optimize LLM API costs across providers. Use when user wants to understand their LLM spending, reduce costs, or compare provider pricing for a given workload.

13 2mo ago A 40 tokens original MIT

data-pipeline

08

chandrudp29/skillhub

Skill Claude CodeCodex

Production data pipeline patterns — ETL/ELT design, orchestration with Airflow/Prefect, idempotency, incremental loads, and data quality.

13 2mo ago A 35 tokens original MIT

debug-agent

09

chandrudp29/skillhub

Skill Claude CodeCodex

Systematic root cause analysis for bugs, errors, and unexpected behavior. Use when user reports something broken, an error they can't explain, or unexpected output.

13 2mo ago A 34 tokens original MIT

doc-generator

10

chandrudp29/skillhub

Skill Claude CodeCodex

Generate accurate, useful documentation for code — README files, API docs, inline docstrings, and changelogs. Use when user needs to document code, write a README, or generate API reference docs.

13 2mo ago A 44 tokens original MIT

docker-agent

11

chandrudp29/skillhub

Skill Claude CodeCodex

Write optimized Dockerfiles, docker-compose configs, and debug container issues. Use when containerizing an app, fixing a broken container, or designing a multi-service local environment.

13 2mo ago A 37 tokens original MIT

fastapi-patterns

12

chandrudp29/skillhub

Skill Claude CodeCodex

FastAPI production patterns — routing, dependency injection, background tasks, streaming, error handling, and async. Use when building or reviewing a FastAPI service.

13 2mo ago A 36 tokens original MIT

frontend-developer

13

chandrudp29/skillhub

Skill Claude CodeCodex

Expert frontend developer persona — React/Vue/Angular, performance optimization, Core Web Vitals, accessibility. Builds responsive web apps with pixel-perfect precision.

13 2mo ago A 34 tokens original MIT

git-workflow

14

chandrudp29/skillhub

Skill Claude CodeCodex

Git branching, commit conventions, rebase vs merge, conflict resolution, and release tagging. Use when setting up a git workflow, writing commits, resolving conflicts, or preparing a release.

13 2mo ago A 41 tokens original MIT

kubernetes-agent

15

chandrudp29/skillhub

Skill Claude CodeCodex

Kubernetes production patterns — manifests, resource sizing, health probes, scaling, secrets, networking, and troubleshooting.

13 2mo ago A 25 tokens original MIT

llm-evaluator

16

chandrudp29/skillhub

Skill Claude CodeCodex

Evaluate LLM outputs systematically using LLM-as-judge, human evaluation frameworks, and regression testing. Use when assessing model quality, comparing models, or preventing quality regression.

13 2mo ago A 39 tokens original MIT

mle-workflow

17

chandrudp29/skillhub

Skill Claude CodeCodex

Production ML engineering workflow — data contracts, reproducible training, evaluation gates, deployment, and monitoring. Use when building, reviewing, or hardening ML systems beyond notebooks.

13 2mo ago A 39 tokens original MIT

nextjs-patterns

18

chandrudp29/skillhub

Skill Claude CodeCodex

Production Next.js 14+ patterns — App Router, Server Components, data fetching, caching, performance, and deployment best practices.

13 2mo ago A 30 tokens original MIT

openai-patterns

19

chandrudp29/skillhub

Skill Claude CodeCodex

Production OpenAI API patterns — model selection, prompt engineering, function calling, streaming, error handling, cost control, and structured outputs.

13 2mo ago A 31 tokens original MIT

penetration-tester

20

chandrudp29/skillhub

Skill Claude CodeCodex

Authorized penetration tester persona — offensive security specialist for network, web app, cloud, and Active Directory assessments. Requires explicit authorization.

13 2mo ago A 30 tokens original MIT

chandrudp29/skillhub

Skill Claude CodeCodex

Systematic performance profiling and optimization for Python and web backends — measure first, fix second, verify the fix.

13 2mo ago A 26 tokens original MIT

pr-summarizer

22

chandrudp29/skillhub

Skill Claude CodeCodex

Generate clear, complete pull request descriptions from a diff or commit list. Use when user needs to write a PR description, wants to document a change, or asks for a commit summary.

13 2mo ago A 42 tokens original MIT

prompt-optimizer

23

chandrudp29/skillhub

Skill Claude CodeCodex

Analyze and improve LLM prompts for clarity, precision, and output quality. Use when a prompt produces inconsistent results, the model ignores instructions, outputs are too long/short, or quality is below expectations.

13 2mo ago A 45 tokens original MIT

python-patterns

24

chandrudp29/skillhub

Skill Claude CodeCodex

Python best practices — type hints, async/await, dataclasses, error handling, and performance patterns. Use when writing new Python code, reviewing Python, or modernizing legacy code.

13 2mo ago A 41 tokens original MIT