h4vzz

60 mods across 1 repository, 34 stars between them.

data-labeling

01

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and programmatic weak supervision.

34 yesterday A 31 tokens copy · 94% MIT

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget.

34 yesterday A 33 tokens copy · 95% MIT

model-deployment

04

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms.

34 yesterday A 28 tokens copy · 92% MIT

model-training

05

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Train machine learning models end-to-end, covering data loading, preprocessing, architecture selection, training loops, validation, and checkpointing.

34 yesterday A 29 tokens copy · 94% MIT

api-design

06

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Design RESTful APIs with proper resource modeling, HTTP method semantics, status codes, pagination, versioning, and documentation.

34 yesterday A 27 tokens copy · 97% MIT

api-integration

07

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Integrate with external APIs using REST clients, webhook consumers, SDK wrappers, and polling patterns with proper authentication, error handling, and retry logic.

34 yesterday A 33 tokens copy · 95% MIT

graphql-api-design

08

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Design GraphQL APIs with well-structured schemas, efficient resolvers, pagination, and performance patterns like DataLoader and federation.

34 yesterday A 29 tokens copy · 97% MIT

oauth-2-0-setup

09

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Implement OAuth 2.0 authentication flows including authorization code with PKCE, client credentials, and device code for secure API integration.

34 yesterday A 34 tokens copy · 98% MIT

webhook-setup

10

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Set up webhook receivers with signature verification, idempotent event processing, retry handling, and dead letter queues for reliable event-driven integrations.

34 yesterday A 32 tokens copy · 97% MIT

code-documentation

11

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Automatically generate clear, comprehensive documentation for codebases — including API references, inline docstrings, README files, and usage guides.

34 yesterday A 29 tokens copy · 94% MIT

Code Review

12

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Perform thorough code reviews on files or pull requests, checking for bugs, security vulnerabilities, performance issues, and style violations.

34 yesterday A 27 tokens copy · 100% MIT

Debugging

13

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Systematically diagnose and fix software bugs by analyzing error messages, stack traces, logs, and runtime behavior across multiple languages.

34 yesterday A 27 tokens copy · 100% MIT

refactoring

14

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns.

34 yesterday A 23 tokens copy · 91% MIT

Testing

15

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Generate, execute, and analyze tests for codebases, covering unit, integration, and end-to-end testing with coverage reporting.

34 yesterday A 27 tokens copy · 98% MIT

version-control

16

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Manage Git repositories and collaborative workflows — branching strategies, commit hygiene, conflict resolution, pull requests, hooks, and .gitignore management.

34 yesterday A 30 tokens copy · 94% MIT

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Design structured, engaging chatbot conversations with robust intent handling, slot filling, disambiguation, error recovery, and graceful fallback strategies.

34 yesterday A 32 tokens copy · 95% MIT

email-drafting

18

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Draft professional, audience-aware emails for any purpose — cold outreach, follow-ups, customer support, internal updates, and meeting requests — with calibrated tone and clear calls to action.

34 yesterday A 39 tokens copy · 97% MIT

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Transcribe meeting audio with speaker diarization, generate structured summaries with action items, decisions, and follow-ups, and support multiple audio formats and languages.

34 yesterday A 34 tokens copy · 98% MIT

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Create polished, audience-tailored presentations from outlines or documents, with support for Marp, reveal.js, Google Slides, and PPTX output formats.

34 yesterday C 34 tokens copy · 97% MIT

report-generation

21

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Generate professional reports — sprint retrospectives, financial summaries, analytics dashboards, and incident postmortems — from structured data with templates, charts, and multi-format output.

34 yesterday A 36 tokens copy · 95% MIT

context-compression

22

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Compresses context to fit within model token limits while preserving the most critical information for the task at hand.

34 yesterday A 25 tokens copy · 91% MIT

context-injection

23

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Injects contextual information into prompts using structured templates to improve AI model accuracy, grounding, and task performance.

34 yesterday A 25 tokens copy · 89% MIT

h4vzz/awesome-ai-agent-skills

Skill Claude CodeCodex

Optimizes the context provided to an AI model by deduplicating, filtering, reordering, and scoring information to maximize relevance and token efficiency.

34 yesterday A 33 tokens copy · 95% MIT