Skill Claude CodeCodex
A coding guide for writing and running Python programs in a sandbox. It requires scripts to be small and reproducible, with their actual output or errors reported.
Skill Claude CodeCodex
A data-analysis guide for doing mathematical calculations and descriptive statistics with confirmed, sourced data. Descriptive statistics summarise data using measures such as totals, averages, or ranges.
Skill Claude CodeCodex
A research guide for finding traceable facts, data, and sources using real search tools. It prioritises original or authoritative sources and records details such as values, units, dates, and URLs.
Skill Claude CodeCodex
A task-routing guide that identifies goals, dependencies, and acceptance conditions before work begins. It orders work as research, calculation or execution, and writing.
Skill Claude CodeCodex
A writing guide for turning verified facts and calculations into finished text for a specific audience. It follows the requested language, structure, and length.
Skill Claude CodeCodex
A guide for turning a paper, outline, or structured text into a PowerPoint presentation. It covers an 8–12-slide structure, concise slide points, and generation of a .pptx file.
Skill Claude CodeCodex
A writing rule set for technical documents that mix Chinese, English, Markdown, and code. It defines when to use curved Chinese quotation marks, straight ASCII quotes, and Markdown backticks.
Skill Claude CodeCodex
A Chinese-language writing guide for producing or revising reader-facing text such as product announcements, public-account articles, emails, and README files. It focuses on reducing patterns that make writing sound machine-generated.
Skill Claude CodeCodex
A guide to measuring whether an AI agent works reliably on the tasks that matter. It covers repeatable test environments, program checks, human-like scoring rules, failure analysis, and experiments that separate model problems from system problems.
Skill Claude CodeCodex
A guide to making an AI agent improve from its past runs. It covers how to judge results, extract reusable lessons, and decide whether to store them as knowledge, instructions, code, or model training.
Skill Claude CodeCodex
A design guide for an agent status bar: a short, automatically updated summary of progress, remaining tasks, tool counts, errors, and system state placed near the latest model input.
Skill Claude CodeCodex
A guide to building agents that react to events instead of waiting for a user message each turn. Events can include email, webhooks, chat messages, timers, alerts, and interruptions during tool work.
Skill Claude CodeCodex
A guide to turning failed production agent runs into training and evaluation data. It explains how to find the first mistake, create preference examples for DPO (Direct Preference Optimization), and check that a fix does not damage other tasks.
Skill Claude CodeCodex
A guide to building the surrounding system that lets an AI agent safely work on code. This system provides tools, rules, tests, feedback, permissions, and ways to undo changes.
Skill Claude CodeCodex
A guide to building agents that operate graphical interfaces through screenshots, mouse actions, keyboard input, and waits. It explains how to identify interface elements and safely repeat the observe, decide, and act cycle.
Skill Claude CodeCodex
A guide to shortening the information an agent carries between steps. It explains how to replace large tool outputs and old conversation details with compact, useful summaries while preserving important decisions and constraints.
Skill Claude CodeCodex
A guide to organizing the instructions and information an AI agent receives at each step. It covers system prompts, tool descriptions, conversation history, on-demand skills, and protections against unsafe outside content.
Skill Claude CodeCodex
A guide to detecting and recovering from failures in long-running AI agents. It covers API outages, bad tool calls, broken conversation state, stalled streams, repeated loops, retries, fallback models, and circuit breakers that stop repeated failure.
Skill Claude CodeCodex
A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.
Skill Claude CodeCodex
A guide to organising large bodies of knowledge so an AI system can navigate relationships, summaries, and layers instead of searching only flat text chunks. It covers tree indexes, knowledge graphs, file-like structures, incremental updates, and long-term memory layouts.
Skill Claude CodeCodex
A guide to arranging an AI agent's conversation so previously processed text can be reused. A KV cache stores intermediate results for earlier tokens, while a prompt cache reuses a stable beginning across requests.
Skill Claude CodeCodex
A guide to building reliable loops for AI agents that plan, act, check their work, and continue until a task is truly complete. It includes independent verification and a proposer-reviewer pattern in which one agent's work is checked using outside evidence.
Skill Claude CodeCodex
A guide to connecting AI agents to outside tools and data through MCP, an open communication standard, or through a skill registry. It explains how clients, servers, tools, resources, and prompt templates fit together.
Skill Claude CodeCodex
A guide to giving an AI agent persistent, user-specific memory across conversations. It covers what to remember, how to store it, how to update or compress it, and when to use memory instead of a shared knowledge base.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: