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wiki

Build a lasting Markdown knowledge base for project decisions, architecture, and session discoveries. Search pages by keywords and tags, use results to answer with citations, and check for outdated content, broken links, and structural problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)

설치 방법 보기

이럴 때 유용합니다

  • Preserving project decisions across sessions
  • Finding past debugging discoveries
  • Checking knowledge pages for broken links and stale content
  • Recording important discoveries at session end

포함된 파일(1)

  • SKILL.md2.8 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Wiki

Persistent, self-maintained markdown knowledge base for project and session knowledge. Inspired by Karpathy's LLM Wiki concept.

Operations

Ingest

Process knowledge into wiki pages. A single ingest can touch multiple pages.

wiki_ingest({ title: "Auth Architecture", content: "...", tags: ["auth", "architecture"], category: "architecture" })

Query

Search across all wiki pages by keywords and tags. Returns matching pages with snippets — YOU (the LLM) synthesize answers with citations from the results.

wiki_query({ query: "authentication", tags: ["auth"], category: "architecture" })

Lint

Run health checks on the wiki. Detects orphan pages, stale content, broken cross-references, oversized pages, and structural contradictions.

wiki_lint()

Quick Add

Add a single page quickly (simpler than ingest).

wiki_add({ title: "Page Title", content: "...", tags: ["tag1"], category: "decision" })

List / Read / Delete

wiki_list()           # Show all pages (reads index.md)
wiki_read({ page: "auth-architecture" })  # Read specific page
wiki_delete({ page: "outdated-page" })    # Delete a page

Log

View wiki operation history by reading .omc/wiki/log.md.

Categories

Pages are organized by category: architecture, decision, pattern, debugging, environment, session-log

Storage

  • Pages: .omc/wiki/*.md (markdown with YAML frontmatter)
  • Index: .omc/wiki/index.md (auto-maintained catalog)
  • Log: .omc/wiki/log.md (append-only operation chronicle)

Cross-References

Use [[page-name]] wiki-link syntax to create cross-references between pages.

Auto-Capture

At session end, significant discoveries are automatically captured as session-log pages. Configure via wiki.autoCapture in .omc-config.json (default: enabled).

Hard Constraints

  • NO vector embeddings — query uses keyword + tag matching only
  • Wiki pages are git-ignored by default (.omc/wiki/ is project-local)

Model Routing

  • haiku — quick lookups, lightweight inspection, narrow docs work
  • sonnet — standard implementation, debugging, and review
  • opus — architecture, deep analysis, consensus planning, and high-risk review
  • fable — Claude Fable 5 (above Opus); pass it explicitly on the Task call or pin it per agent with agents.<name>.model
  • The session model chosen with /model applies to the main loop only. Delegated agents run on their pinned tier unless the Task call passes model explicitly or the agent is overridden via agents.<name>.model. To run delegated work on Fable, use one of those two surfaces; selecting Fable in /model alone does not change delegation.

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같은 저장소의 스킬

Write or revise instructions, specifications, tickets, and skill files so an agent can act without prior chat history. Make rules checkable, explain their reasons, define completion criteria, and keep authoritative information in one place.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Clarifying instructions in CLAUDE.md
  • Making specifications and tickets actionable
  • Adding completion criteria to skill procedures
Yeachan-Heo/oh-my-claudecode4만2026년 10월 22일 업데이트

Simplify bloated AI-generated code by removing dead code, duplicated logic, and unnecessary layers while checking that existing behavior stays intact. Use a limited cleanup scope, verify changes with relevant checks, or request a review without edits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Removing duplicate logic and unused code
  • Simplifying unnecessary wrappers without changing behavior
  • Cleaning up only a specified set of changed files
Yeachan-Heo/oh-my-claudecode4만2026년 10월 22일 업데이트

Review module relationships and change history to identify structural improvements in a codebase. Receive ranked candidates with file references, suggested changes, and risks, plus a recommendation for where to start, without modifying code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing architecture after a batch of changes
  • Investigating changes that touch too many files
  • Prioritizing structural improvements
Yeachan-Heo/oh-my-claudecode4만2026년 10월 22일 업데이트

ask

무료

Send questions, review requests, or implementation tasks to a supported local AI command-line tool through one shared command. The wrapper handles provider-specific options and saves the result as a Markdown file for later reference.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Requesting a security review of a patch
  • Seeking UX suggestions for a user flow
  • Drafting an implementation plan for an issue
Yeachan-Heo/oh-my-claudecode4만2026년 10월 22일 업데이트

Turn an unclear idea into linked decision tickets on a repository’s issue tracker. Work through one decision per session, record outcomes and dependencies, and prepare a brief defining the objective, scope, and exclusions for delivery.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Clarifying the destination of an early idea
  • Mapping decisions and their dependencies
  • Resuming unresolved decisions across sessions
Yeachan-Heo/oh-my-claudecode4만2026년 10월 22일 업데이트

autopilot

무료

Turn a short product idea into working code through requirements analysis, technical planning, implementation, testing, and review. It coordinates agents across these stages, fixes detected problems, and reports assumptions that still need a human decision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Building a product from a short idea
  • Creating a bookstore inventory API
  • Developing a habit-tracking command-line tool
Yeachan-Heo/oh-my-claudecode4만2026년 10월 22일 업데이트

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