meta-diagram-triangulation
Scan a target codebase path, classify the most informative diagram kind, then render it as BOTH a PlantUML source file AND a draw.io XML in parallel, and compose them into a single architecture doc. Use when writing an RFC or onboarding doc and you want a text-friendly (PlantUML) and an editable (drawio) view of the same architecture.
Profile →npx skills add opensquilla/opensquilla --skill meta-diagram-triangulation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Diagram Triangulation (Meta-Skill) A **classifier + parallel render** meta-skill. After scanning a target path, an `llm_classify` step picks the most informative diagram kind (one of `class | sequence | component | deploy | flow`), then **two independent render branches** synthesize PlantUML source and draw.io XML for the same scan — running in parallel because they are independent tools serving different downstream uses (git-friendly text review vs. editable canvas). ## Trigger surface Fire by saying `diagram triangulation` or one of the localized triggers listed in the frontmatter, with the target path or module reference in the same turn. ## Fallback If either render step fails, `compose_doc` should still produce the docx referencing whichever render succeeded; manually re-run the failed render via `sub-agent` with the same scan output as input.
- Trigger surface
- Fallback
What does the meta-diagram-triangulation skill do?
Scan a target codebase path, classify the most informative diagram kind, then render it as BOTH a PlantUML source file AND a draw.io XML in parallel, and compose them into a single architecture doc. Use when writing an RFC or onboarding doc and you want a text-friendly (PlantUML) and an editable (drawio) view of the same architecture.
How do I install it?
Run `npx skills add opensquilla/opensquilla --skill meta-diagram-triangulation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From opensquilla/opensquilla, a repository with 6,515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.