Individual skill
mykg
Run mykg knowledge-graph commands inside Claude Code from one slash command `/mykg`. The user describes intent in natural language (extract, append, sync, resume, approve, walkthrough, parse-docs, fetch-web, query); the skill parses intent, builds the right `mykg` CLI command from the live `--help` output, confirms, runs it, and drives the inbox/outbox watch loop for LLM-bearing commands (extract-graph). For read-only queries, prefers MCP tools when the mykg MCP server is online, falling back to reading session files directly, with the `mykg query` CLI as a last-resort fallback. Ensures `.mcp.json` is configured (with user approval). Excludes `mykg init` (interactive shell command) and `mykg merge-graphs` (follow-up planning).
src/mykg/data/skills/mykg/SKILL.md
Source commit afb0a9c9bafdc49751563b9aa7f59bcf4bb787fb
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 84
- Repository last updated
- Oct 23, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-code Repository topic
- knowledge-graph Repository topic
- obsidian Repository topic
- ontology Repository topic
- ontology-alignment Repository topic
- ontology-engineering Repository topic
- ontology-matching Repository topic
- protege Repository topic
- second-brain Repository topic
- neo4j-graph Repository topic
- docs Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
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Read excerpt
# mykg — single slash command, intent-driven CLI dispatcher
This skill is the agent-mode driver for **mykg**. The user types `/mykg <free text>` describing what they want; the skill parses the intent, assembles the matching `mykg` CLI command (with live `--help` as ground truth for flags), confirms expensive actions, and executes. For LLM-bearing subcommands (`extract-graph`), it then drives the inbox/outbox watch loop. For synchronous subcommands (`walkthrough`, `approve-schema`, `parse-docs`), it shells out and reports. For the read-only `query` verb, it prefers MCP tools when the mykg MCP server is online, falling back to reading session files directly when MCP is unavailable, with the `mykg query` CLI as a last-resort fallback.
The pipeline code, the orchestrator, all prompts, all 12 pipeline steps, and the inbox/outbox contract are **unchanged**. This skill only changes how `mykg` is invoked from inside Claude Code.
---
## Read before answering — discipline rule
Before answering any domain question about the corpus this project's mykg sessions cover, **read the latest session's graph files first**. Your training data is not grounded in this project's source documents; the graph is. Use `/mykg query <question>` (Stage 4d below) to do this — it returns the relevant nodes/edges/notes into your context so you can answer from them rather than guessing.
This rule applies to *every* `/mykg query …` invocation and to every domain question asked outside the skill *when* the project's CLAUDE.md carries the managed mykg-section block (installed by `mykg init --profile agent-claude-code`).