claude-prompting
697Skill Claude CodeCodex
How to phrase tasks and reviews when delegating to Claude Code from Codex via the cc tools. Read before composing a non-trivial ccrescue task or review focus.
13,658 mods in this category, of every kind an agent can take. Each one carries what it costs per session, what the scan found, and whether it is the original.
Skill Claude CodeCodex
How to phrase tasks and reviews when delegating to Claude Code from Codex via the cc tools. Read before composing a non-trivial ccrescue task or review focus.
MCP server Claude CodeCodexCursor +2
An open-source agentic ML ecosystem with a clean Python API, MCP server for AI agents, and a community Hub for sharing algorithms, datasets, and models. Runs locally from the tuiml Python package.
Skill Claude CodeCodex
Scaffolds a new AI Provider plugin for the Drupal AI module. Asks which operation types the provider supports (chat, embeddings, text-to-image, etc.), then generates the plugin class with the correct interface implementations, authentication setup, and model discovery.
bugrabilge/bilge-development-kit
Skill Claude CodeCodex
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, AI assistant design, prompt management, LLMOps monitoring, conversational interfaces, and context management.
MCP server Claude CodeCodexCursor +2
A production-ready Model Context Protocol (MCP) server for Google Cloud Dataproc operations. Provides intelligent defaults, comprehensive tooling, and seamless integration with Roo (VS Code) for big data workflows. Runs locally from the @dipseth/dataproc-mcp-server npm package.
Skill Claude CodeCodex
Implement data source ingestion for AIContext. Explore a user's data export, identify ingestible sources, and write DataSource classes to parse them.
patakuti/local-knowledge-rag-mcp
MCP server Claude CodeCodexCursor +2
MCP server "local-knowledge-rag" as configured in patakuti/local-knowledge-rag-mcp. Runs /path/to/local-knowledge-rag-mcp/dist/mcp-server.js with node. Needs 3 environment variables to run.
ChengJiale150/jupyter-mcp-server
MCP server Claude CodeCodexCursor +2
A powerful MCP server for AI-driven Jupyter Notebook management and execution. Runs locally from the better-jupyter-mcp-server Python package.
Skill Claude CodeCodex
Use this skill when the user is working with the OpenMythos codebase — a PyTorch implementation of a hypothesized Recurrent-Depth Transformer (RDT) architecture by Kye Gomez. Trigger on any of these signals: files named main.py in an openmythos/ directory; imports like from openmythos.main import OpenMythos…
Skill Claude CodeCodex
Compile the YAML artifact into PROMPT.md with deterministic structure. A final agent pass polishes for fluidity, conciseness, and correctness.
adryanmoldokkr32-pixel/anthropics-skills
Skill Claude CodeCodex
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. TRIGGER when: code imports anthropic/@anthropic-ai/sdk; user asks to use the Claude API, Anthropic SDKs, or Managed Agents (/v1/agents, /v1/sessions, /v1/environments). DO NOT TRIGGER when: code…
Plugin Claude Code
Bundles 1 skill · 210 tokens together
Build on Powabase — the AI Backend-as-a-Service (RAG, agents, orchestration, workflows) plus a Supabase-style BaaS layer. Bundles the powabase agent skill under skills/.
Skill Claude CodeCodex
Use when fine-tuning a large language model. Covers choosing full vs LoRA/QLoRA, dataset formatting, the transformers/PEFT/TRL stack, key hyperparameters, and evaluating fine-tunes without overfitting.
Command Claude Code
Analyze LLM API usage in a codebase and recommend model right-sizing to reduce cost, carbon, and complexity.
Plugin Claude Code
Bundles 1 skill · 68 tokens together
Design better LLM context for agents, prompts, tools, RAG/MCP servers, and multi-agent systems.
PhAlves23/prompt-engineering-skill
Cursor rule Cursor
Optimize and rewrite prompts using proven prompt engineering techniques. Invoke when the user wants to improve, optimize, or rewrite a prompt, or pastes a prompt draft asking to make it better.
Skill Claude CodeCodex
Skill "kg" from nnar1o/kg, covering 1. what is kg-mcp, graph scoping for mcp, 2. node and edge structure, node fields and edge fields.
Exponential-OS/prompt-engineering-in-action
Cursor rule Cursor
Co-Dialectic prompt sharpening and verification rules for Cursor.
DSmmartin/skills_talk_agent_camp_2026
Skill Claude CodeCodex needs its repo
Complete schema drift repair for the Ghost Contributors NL2SQL system. Patches all four layers (YAML contract, ChromaDB RAG chunks, NL2SQL prompt, RAG prompt) using validated tooling. Includes dry-run preview, step-by-step fallback, validation, and rollback.
Plugin Claude Code
Bundles 52 skills · 5,458 tokens together
Skills for converting Dagster, Prefect, and Airflow pipelines into Orchestra pipeline YAML — schedules and retries, dbt/Python/Airbyte/Fivetran/Tableau/Power BI/Slack tasks, connections and secrets, alerts, sensors/automations, branching/conditions, cross-job/cross-flow/cross-DAG dependencies, asset checks/testing…
Skill Claude CodeCodex
World-class prompt analyzer v3: multi-modal, predictive, self-improving, context-aware, with real-time cost estimation, counterfactual reasoning, cross-session learning, adversarial testing, and autonomous optimization.
poplarity/dsh-science-workbench
Skill Claude CodeCodex
A set of rules for running reproducible bioinformatics analyses, which study biological data with software. It uses small self-contained scripts, recorded inputs and outputs, environment details, and version history so results can be repeated.
Plugin Claude Code
Bundles 1 skill · 66 tokens together
Expert guidance for the OpenGradient Python SDK — a decentralized AI inference platform. Helps write correct, idiomatic code for verified LLM inference via TEE, x402 payment settlement, multi-provider models (OpenAI, Anthropic, Google, xAI), on-chain ONNX model inference, LangChain agent integration, digital twins…
Plugin Claude Code
Bundles 2 skills · 23 tokens together
A context-efficient interface for LangSmith observability and evaluations.
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