GrayCodeAI/starling

Community skill packages for hawk, the AI coding agent. 12,000+ modular instruction packages across 31 categories.

2Stars on the repository
57Mods indexed here, across every type
yesterdayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

gitnexus-cli

01

GrayCodeAI/starling

Skill Claude CodeCodex

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki".

2 yesterday A 59 tokens copy · 100% MIT

gitnexus-debugging

02

GrayCodeAI/starling

Skill Claude CodeCodex

Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "Why is X failing?", "Where does this error come from?", "Trace this bug".

2 yesterday A 46 tokens copy · 100% MIT

gitnexus-exploring

03

GrayCodeAI/starling

Skill Claude CodeCodex

Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow".

2 yesterday A 55 tokens copy · 100% MIT

gitnexus-guide

04

GrayCodeAI/starling

Skill Claude CodeCodex

Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: "What GitNexus tools are available?", "How do I use GitNexus?".

2 yesterday A 56 tokens copy · 100% MIT

GrayCodeAI/starling

Skill Claude CodeCodex

Use when the user wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?".

2 yesterday A 50 tokens copy · 100% MIT

GrayCodeAI/starling

Skill Claude CodeCodex

Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "Rename this function", "Extract this into a module", "Refactor this class", "Move this to a separate file".

2 yesterday A 53 tokens copy · 100% MIT

GrayCodeAI/starling

Skill Claude CodeCodex

Triage and prioritize vulnerabilities using CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree framework to produce actionable remediation priorities.

2 yesterday A 41 tokens original MIT

ai-image-generation

08

GrayCodeAI/starling

Skill Claude CodeCodex

Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klein LoRA, Gemini 3 Pro Image, Grok Imagine, Seedream 4.5, Reve, Imagi...

2 yesterday A 68 tokens copy · 84% MIT

ai-video-generation

09

GrayCodeAI/starling

Skill Claude CodeCodex

Generate AI videos with Google Veo, Seedance, Wan, Grok and 40+ models via inference.sh CLI. Models: Veo 3.1, Veo 3, Seedance 1.5 Pro, Wan 2.5, Grok Imagine Video, OmniHuman, Fabric, HunyuanVideo. ...

2 yesterday A 73 tokens original MIT

GrayCodeAI/starling

Skill Claude CodeCodex

Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities.

2 yesterday A 37 tokens original MIT

llm-council

15

GrayCodeAI/starling

Skill Claude CodeCodex

Use agents.planners to define any number of planning agents, and optionally agents.judge to override the judge. If agents.judge is omitted, the first planner config is reused as the judge. If agents is omitted in the task spec, the CLI will use the user config file when present, otherwise it falls back to the default…

2 yesterday A 13 tokens copy · 88% MIT

mdc-langchain-js

18

GrayCodeAI/starling

Skill Claude CodeCodex

This guide provides opinionated, actionable best practices for building robust and maintainable LLM applications with langchain-js, emphasizing modularity, type safety, observability, and testing.

2 yesterday A 42 tokens original MIT

mdc-langchain

20

GrayCodeAI/starling

Skill Claude CodeCodex

Definitive guidelines for writing maintainable, performant, and robust LangChain applications using modern best practices (LCEL, LangGraph, Pydantic, createagent).

2 yesterday A 40 tokens original MIT

GrayCodeAI/starling

Skill Claude CodeCodex

Dedicates a module or files for managing Prompt templates with version control for LLM applications.

2 yesterday A 29 tokens original MIT

mdc-openai

22

GrayCodeAI/starling

Skill Claude CodeCodex

This guide provides definitive, actionable best practices for developing with the OpenAI API, covering prompt engineering, robust client usage, agent design, and testing.

2 yesterday B 35 tokens original MIT

mdc-tensorflow

23

GrayCodeAI/starling

Skill Claude CodeCodex

This guide defines the definitive best practices for writing TensorFlow code, focusing on tf.keras for models, tf.data for input pipelines, and @tf.function for performance, ensuring reproduc...

2 yesterday A 48 tokens original MIT

mdc-vllm

24

GrayCodeAI/starling

Skill Claude CodeCodex

Definitive guidelines for writing high-performance, maintainable, and production-ready LLM inference code using vLLM.

2 yesterday A 30 tokens original MIT