Agents Best Practices
agents-best-practices
A provider-neutral skill for designing agent systems: loop architecture, tools, permissions, memory and observability
A skill gives an agent a ready-made ability: a tested prompt, a set of steps, sometimes files and scripts. This section collects skills for Claude Code, Cursor, Codex and other agents, each with an install command, a risk level and a plain description of who needs it and when.
Describe the task or paste package.json, and Foxx AI will pick matching skills, MCP servers and CLI tools.
Found: 46
agents-best-practices
A provider-neutral skill for designing agent systems: loop architecture, tools, permissions, memory and observability
A skill that gives image recognition to models without native vision: it sends the image to a vision model and returns a text description
A skill that helps an agent author other skills to the agentskills.io spec: structure, metadata, progressive disclosure and validation
ПОХУЙ
An agent voice mode using idiomatic Russian profanity while keeping technical precision, 18+
A set of CLI tools and a skill that give a text-only agent sight: image analysis, long-screenshot OCR and UI restoration
Skills that search a large base of Japanese NLP resources: libraries, models, datasets and dictionaries
autoresearch
A skill that improves another skill: runs it on test inputs, scores outputs with binary checks and mutates the prompt
self-learning-skills
A meta-skill that saves a hard-won working procedure as a new skill or rule, so the next session starts already knowing it
A skill for creating skills that proves them by behavior: before-and-after runs, regression evals and ecosystem audit
A set of skills, slash commands and agents for Claude Code that helps you build your own skills, agents, hooks, slash commands and prompts
An execution-discipline skill for Claude: staged planning, delegation to agents, failable checks and a double-check before delivery
A skill with daily rankings of agent skills by installs, growth and mentions across several platforms at once
A Claude Code skill that runs multi-agent work by a naval metaphor: planning, parallel tasks with checkpoints, stand-down
A skill that designs, tests, evaluates and packages other agent skills, starting from architecture
LangSmith Skills
Official LangChain skills for LangSmith: query and export traces, build eval datasets and write custom evaluators from your agent
Official skills for the Venice.ai API: chat, images, video, speech, embeddings, billing and x402 payments
LLM Cache Audit Skill
Skill for Codex and Claude Code that traces what breaks LLM prompt caching in code and config and proposes a verification step
A skill collection for the Russian stack: GigaChat, YandexGPT, Yandex 360, Yandex Cloud, Metrika and marketplace orders
A skill based on the Recursive Language Models paper: the agent splits repo-wide or multi-PDF tasks into batches for sub-agents
Eight skills for coding against the GigaChat API: choosing a layer, access setup, SDK, LangChain, gpt2giga and Deep Agents
migrate-to-gigachat-skill
A Cursor skill that migrates Python, JS or TS projects from OpenAI to GigaChat: detects the stack, picks an adapter, and verifies with tests it still starts
hermes-custom-skills
A monorepo of five skills for Hermes Agent: agent security hardening, skill auto-updates, skill search, cross-border expansion and Tencent Yuanbao chat
A skill gives an agent a ready-made ability: a tested prompt, a set of steps, sometimes files and scripts. The agent picks it up and solves the task by the defined scenario.
Each entry has an install command for a specific agent: Claude Code, Cursor, Codex and others. Usually you copy a folder into the skills directory or install it through a plugin manager.
A skill gives the agent knowledge and a sequence of actions, an MCP server gives access to external data and tools over a protocol. They are often used together.