AI & ML

wxy Bundle

Implements Conventional Commits workflow. Ensures proper commit message formatting with structured body, footer, and skill signature. Facilitates semantic versioning compliance and clean project history.

wxy Bundle

Automate PR generation with version detection and release notes. Streamlines contribution workflow and version management. Creates professional PR descriptions with checklist and automation templates.

cyberelf Bundle

Multi-session AI coding history analysis across Copilot CLI, Claude Code, and VS Code sessions for a project. Collects raw logs, normalizes them into a unified format, and produces an actionable report covering recurring bugs, tool-error patterns, missing tests, refactoring opportunities, process improvements, and documentation gaps. Supports incremental analysis — only new sessions are processed on repeat runs, with persistent storage at ~/.retro/<project>/. Use this skill whenever the user asks to review, analyze, or get a retrospective on AI coding sessions, chat history, agent logs, copilot sessions, what went wrong across sessions, what patterns the AI made, or wants a report on how the AI performed on a project. Also trigger for phrases like "look at my sessions", "analyze my chat history", "what bugs recurred", "review my AI sessions", or "how has the AI been doing".

cyberelf Bundle

Analyze SpecStory chat history exports to identify problems, friction points, and areas needing improvement. This skill should be used when the user wants to understand what went wrong in their agent interactions. Use when the user asks to "analyze chat history", "what went wrong", "review agent sessions", or "find problems in conversations".

bang9 Skill

Run multi-agent simulations to measure consistency of non-deterministic behavior. Use when the user wants to A/B test, validate behavioral equivalence, or stress-test outputs at scale.

antoniocascais Bundle

Dispatches a task to a Claude Fable 5 subagent with a prompt written the way Fable 5 wants to be prompted, and holds a back-and-forth with it across turns. Use when the user says /ask-fable, ask fable, fable, fable 5, send this to fable, hand this off to fable, get a Fable second opinion, or when a task sits at the top of the difficulty range: multi-hour or multi-day implementations, deep debugging, whole-repo review or bug hunts, dense technical screenshots, or ambiguous multithreaded requests where first-shot correctness matters.

antoniocascais Skill

Drafts a copy-pasteable prompt for Claude Fable 5 without dispatching anything. Use when the user says /prompt-fable, write me a fable prompt, draft a prompt for fable, help me prompt fable 5, or wants to hand a prompt to Fable somewhere else (the web app, another session, a colleague). For actually running the task, use the ask-fable skill instead.

devxoul Bundle

Interact with LINE - send messages, read chats, manage conversations

devxoul Bundle

Interact with Slack workspaces - send messages, read channels, manage reactions

devxoul Bundle

Interact with Microsoft Teams - send messages, read channels, manage reactions

devxoul Bundle

Interact with Cisco Webex - send messages, read spaces, manage memberships

devxoul Bundle

Interact with Discord servers - send messages, read channels, manage reactions

devxoul Bundle

Interact with iMessage on a Mac via the imsg tool - send messages, read chats, watch for new messages

devxoul Bundle

Interact with Slack workspaces using bot tokens - send messages, read channels, manage reactions

devxoul Skill

Interact with Telegram through TDLib - authenticate, inspect chats, and send messages

devxoul Bundle

Interact with Cisco Webex using bot tokens - send messages, reply in threads, upload and download files, look up people, read spaces, manage memberships, stream real-time events

devxoul Bundle

Interact with WhatsApp - send messages, read chats, manage conversations

devxoul Bundle

Interact with Instagram DMs - send messages, read conversations, manage accounts

devxoul Bundle

Interact with KakaoTalk - send messages, read chats, manage conversations

devxoul Bundle

Interact with WeChat Official Account using API credentials - send messages, manage templates, list followers

devxoul Bundle

Interact with Discord servers using bot tokens - send messages, read channels, manage reactions

devxoul Bundle

Interact with Channel Talk using extracted desktop app or browser credentials - read chats, send messages, search messages, manage groups

devxoul Skill

Interact with Telegram using bot tokens - send messages, read chats, manage reactions

devxoul Bundle

Interact with Channel Talk workspaces using API credentials - send messages, read chats, manage groups and bots

swustcyt Bundle

Use when 进入一个新项目或项目结构发生重大变化，需要生成/更新架构文档（docs/ARCHITECTURE.md）。触发场景：首次接入项目、重构后文档过时、新成员需要上下文、agent 需要理解项目全貌。

swustcyt Skill

任务归约拆分与验收标准前置。Use when 已有 Spec 或较清晰的需求、要把大需求切成可执行任务、准备启动开发之前。也适用于需求太大、一个 Agent 无法独立完成、需要拆成 Epic/Milestone/Issue 并定义 P0-P3 验收标准的场景。

lastdays03 Skill

Git 변경사항을 분석하여 Conventional Commits 표준에 맞는 메시지를 작성하고 커밋합니다.

lastdays03 Bundle

표준 참조 분리 패턴(Standard Reference Separation Pattern)을 사용하여 워크플로우를 새로 생성하거나 개선합니다.

lastdays03 Bundle

데이터 기반으로 한 주를 회고하고, 인박스 제로 및 액션 아이템 추출을 자동화하는 주간 리뷰 워크플로우입니다.

lastdays03 Bundle

데이터 분석/머신러닝 노트북의 결과를 분석하여 표준화된 Model Card 보고서(Markdown)를 자동 생성합니다.

lastdays03 Bundle

SKILL.md의 모든 표준(문서화, 리스크 평가, 롤백 전략, 엄격한 TDD)을 준수하는 고급 기능 구현 워크플로우입니다.

lastdays03 Bundle

표준 구조(Overview, Plan 등)를 갖춘 새로운 프로젝트를 자동으로 생성하며, 중복 검사 및 템플릿 선택 기능을 포함합니다.

lastdays03 Bundle

AI를 활용해 핵심 개념을 추출하고, 문맥을 분석하여 지식 베이스(20_Learning)와 양방향으로 연결합니다.

lastdays03 Bundle

프로젝트/인박스의 문서를 수확(Harvest)하거나 기존 지식을 정제(Refine)하여 '골드 스탠다드' 지식 자산을 만듭니다.

lastdays03 Bundle

프로젝트 구조를 분석하여 최적의 에이전트 컨텍스트 파일(AGENTS.md) 시스템을 구축합니다.

morgs32 Bundle

Sync the current llm-wiki and sibling consumers with their remotes, scan sibling Git repositories for llm-wiki subtrees under vendor/, compare each vendored copy with the current committed llm-wiki tree, and update stale clean repositories. Use when the user asks to scan sibling repositories, propagate llm-wiki additions, refresh vendored llm-wiki copies, or check which neighboring projects are behind this repository.