zkfy

Plugin zkfy from marketplace zkfy-marketplace in jasonsie/zkfy. Commands read from the repo's manifest — 4 days ago.

Skills (11)

• clip-to-zk

  File a source verbatim as a Mode clip vault note — URL, raw/ clip, video, file or text — with zkfy frontmatter, a Train-Case name, a domain folder and proposed backlinks.

• notion-to-zk

  Create a Zettelkasten note from a Notion page via MCP integration

• query-to-note

  Promote a query answer or synthesis into a permanent Zettelkasten note. Files valuable explorations back into the vault.

• query

  Proactively consult the user's canonical CS knowledge vault before substantive technical design, architecture, debugging, implementation tradeoffs, or learning explanations, even in another project. Retrieve actual note sections and synthesize cited, vault-grounded guidance. Also use for explicit kn

• source-to-zk

  Complete pipeline from any source (URL, text, file) to an integrated Zettelkasten literature note

• terminal-colors

  Standardized bash terminal color formatting for agent output. Use when creating or updating agent prompts that need colored terminal output for progress indicators, success/error messages, file paths, or structured logging. Provides consistent color palette and usage patterns across all agents.

• vault-index

  Deterministically rebuild or check the scoped vault catalog, bounded shards, content-fingerprint manifest, and structural health report. Explicit maintenance only; never run during a read-only query. Supports full or append requests through one shared generator.

• vault-lint

  Semantic health checks for the Obsidian ZK vault. Detects contradictions between notes, stale content, orphan pages, missing pages, weak links, concept gaps, and cross-reference gaps. Use when the user asks to "lint the vault", "check vault health", "find contradictions", "find orphans", or "what's

• vault-reorg

  Reorganize the scoped Obsidian vault in one reviewed pass. Surveys candidate clusters first, then runs the job the user picks in a dialog: Consolidate (weave duplicate notes into one through a unit ledger), Restructure (moves, flattening, renames, map lines) or Curate (canonical-subtopic coverage; g

• x-learn-study-sop

  Reusable 4-phase study SOP for any x-learn project: checkpoint tracking, RAG extraction from any source, team-based parallel implementation with bilingual RADIO docs + FE folder examples, and git commit + doc update per item

• zk-note

  Transform markdown files into fully integrated Zettelkasten notes using the Hybrid Atom/Thesis pipeline (Discover → Distill → Render → Integrate). Use when you need to (1) Create atomic notes or thesis-dossier notes from existing markdown, (2) Let the modeler classify note_mode and distill the appro

Subagents (8)

• ascii-diagram-agent

  Create, convert, or enhance diagrams using Unicode box-drawing characters and ASCII art

• conceptual-modeler-agent

  Distill layer of the 3-stage Zettelkasten pipeline. Takes the discover-layer output from zettelkasten-agent plus source content, classifies note_mode (atom vs thesis per ADR-0002), and produces the mode-appropriate conceptual model artifact (atom: one-line definition + optional why/boundary/code; th

• cross-pollinator-agent

  Update existing vault notes with backlinks and cross-references when a new note is ingested. Enriches the knowledge graph by connecting new content to existing notes.

• diagram-agent

  Render diagrams for Zettelkasten notes. Honors the Image > ASCII > Mermaid > Structural Bullets priority chain; consumes a modality_hint from conceptual-modeler-agent

• markdown-file-agent

  Extract content from URLs, text, or transcripts and produce structured Markdown files

• obsidian-formatter-agent

  Format a Zettelkasten note for an Obsidian vault: filename, frontmatter, backlinks, suggested MOC entries, and file writing

• video-agent

  Extract video transcripts and metadata using yt-dlp, producing clean Markdown files

• zettelkasten-agent

  TRIGGER when user says: 'take note', 'analyze', 'deep analysis', 'summarize deeply', 'deep summary', 'deep dive'. Discover layer of the 3-stage Zettelkasten pipeline: atomic concept identification, domain selection, metadata classification, and related-notes discovery. Distillation happens downstrea

MCP servers (1)

• notion

  connects to: https://mcp.notion.com/mcp

Hooks (2)

• PreToolUse

  "${CLAUDE_PLUGIN_ROOT}/hooks/validate-zk-structure.sh"

• PostToolUse

  "${CLAUDE_PLUGIN_ROOT}/hooks/signal-index-update.sh"

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