kaushik-holla/agent-skills

2Stars on the repository
7Mods indexed here, across every type
3mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

code-reviewer

01

kaushik-holla/agent-skills

Agent Claude Code

Senior code reviewer for Python projects with emphasis on agentic/LLM systems. Reviews for correctness, design clarity, maintainability, testability, observability, and idiomatic LangGraph usage. Produces a structured review report. Read-only; does not modify code.

not rated 2 3mo ago A 58 tokens original MIT

docs-writer

02

kaushik-holla/agent-skills

Agent Claude Code

Documentation specialist for README, ADRs, architecture diagrams (mermaid), assumptions logs, and "Additional Capabilities" sections. Use when producing or revising any markdown artifact intended for maintainers, collaborators, or users. Writes only to markdown files; every edit is ask-gated.

not rated 2 3mo ago A 61 tokens original MIT

langgraph-architect

03

kaushik-holla/agent-skills

Agent Claude Code

Senior LangGraph architect for state-schema design, StateGraph topology, conditional routing, interrupt/resume semantics, checkpointer choice, reducer selection, structured outputs, and tool/MCP wiring. Use for designing or reviewing a graph before implementation, or auditing a graph for correctness. Read-only.

not rated 2 3mo ago A 62 tokens original MIT

security-auditor

04

kaushik-holla/agent-skills

Agent Claude Code

Senior security engineer specialized in vulnerability detection, threat modeling, secure coding, and ML/LLM/agent security. Covers web, API, infrastructure, supply chain, model integrity, prompt injection (direct and indirect via RAG/tools), agentic tool-calling risks, and MCP server trust. Use for security-focused…

not rated 2 3mo ago A 91 tokens original MIT

test-engineer

05

kaushik-holla/agent-skills

Agent Claude Code

Senior QA and ML/LLM Test Engineer specialized in test strategy, test writing, coverage analysis, regression tests, data and feature contracts, ML pipeline validation, and LLM/agent/RAG evaluation. Use for designing test suites, writing tests for existing code, building bug-reproduction tests, evaluating coverage, or…

not rated 2 3mo ago A 82 tokens original MIT

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