Browse AI and ML workflow skills for model integration, prompt engineering, evaluations, and LLM automation across major IDEs.
This directory brings installable AI Agent skills into one place so you can filter by search, category, topic, and official source, then install them directly into Claude Code, Cursor, Windsurf, and other supported environments.
Guides the ai-context-writer subagent in maintaining AI_CONTEXT_REPOSITORY.md, documenting repository architecture, directory structure, component responsibilities, data flow, and extension points for the python-vis project. Use when creating or updating the repository AI context file.
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isnt just storage - its retrieval. A million stored facts mean nothing if you cant find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
Expert guidelines for Python ML and LLM workflows. Covers code quality, experiment tracking, and data handling. Use when working on AI/ML components or data pipelines.
用于侵蚀沟初筛与精细测量的AI分析与治理建议。适用于：封装/修改AI分析流程、调整治理判断逻辑、优化提示词、对接SiliconFlow或类似OpenAI风格接口。
Niko Memory Bank System - Plan Phase - Implementation Planning
End-to-end autopilot for TR 이동 대시보드. Use to generate a plan from AGENTS.md, implement in small steps, and run lint/typecheck/test/build with SSOT(option_c.json) guardrails via subagents.
Refactors PHP classes following Laravel best practices and SOLID principles. Ensures code quality, maintains functionality, improves testability, and achieves 100% code coverage. Focuses on single responsibility, DRY principle, and clean code structure.
FaveFitのAIモジュール（Agent, Function, Workflow）の新規作成・修正・デバッグを行うスキル。server/ai/ 配下のコードを扱うときは必ず使うこと。
Maintain the Oris Rust agent runtime with an issue-driven GitHub workflow. Use when Codex is working in the Oris repository and needs to pick up a GitHub issue, turn the issue into scoped code changes, run Rust validation such as cargo fmt and cargo test, publish the oris-runtime crate to crates.io, close the completed issue, and continue to the next iteration.
Orchestrator-first workflow for building and shipping changes via KB Orchestrator (orchestrator/): setup target repo/workdir, run validation jobs with artifacts + safety, then run structured code review and apply fixes (requesting-code-review/receiving-code-review), and verify web UI behavior via Playwright MCP. Use when the user asks “через оркестратор”, wants repeatable stages + audit trail (commands/prompt), or needs phone/VPN-accessible web demo checks.
Describes the sub-agent pipeline: task-decomposer breaks a task into subtasks, task-worker implements them, work-reviewer checks the result; on issues feedback goes back to the worker. Use when orchestrating multi-step work with task-decomposer, task-worker, and work-reviewer agents, or when the user asks how these agents work together.
将用户的手工SOP/工作流抽取为可复用的Agent Skill规格与SKILL.md草案。适用于“把这个流程封装成skill/把步骤做成skill/从手工步骤生成SOP+分支+质量门禁+技能文件/元prompt做成skill”等请求。Use when the user describes a manual workflow and wants to turn it into a reusable Skill.