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wlsdks

User

Local-first ontology workbench for teams and AI agents: map business meaning, code structure, and MCP/CLI proof from one markdown graph.

8 indexed · 0 Featured · 2 stars · avg score 67
Prolific

Categories

Indexed Skills (8)

AI & Automation Listed

firebase-deploy

Deploy the ontology-atlas static site to Firebase Hosting from this repo. Use when the user asks to deploy, redeploy, publish the site, update Firebase Hosting, or verify the live web.app URL. The workflow must read `.env.prod`, build the static export, deploy only Hosting, and verify the live URL. Never commit `.env.prod` or introduce Firebase backend services.

1 Updated 6 days ago
wlsdks
AI & Automation Listed

ontology-bootstrap

Bootstrap an empty (or near-empty) ontology-atlas vault from the surrounding codebase — call analyze_repo_structure once, show the proposed candidates, and selectively land the accepted ones via add_concepts / add_relations (batch writers). Use when the user says "이 codebase 분석해줘" / "bootstrap the ontology" / "fill the vault from the code", or when you notice the vault has only the 5 starter nodes and the user has asked you to do anything ontology-related. Skip when the vault already has 20+ user-curated nodes — bootstrap is for the cold-start case only.

1 Updated 6 days ago
wlsdks
AI & Automation Listed

ontology-extract

User gave you prose — a meeting note, a PR description, an RFC draft, a chat log, a paragraph from a Notion page — and asks "extract ontology from this" or similar. Read the prose, cross-check the existing vault with `similar_nodes` / `find_evidence`, then propose a small set of candidate nodes/edges, ask the user to pick which to land, and only then call `add_concept` / `add_relation` / `patch_concept`. Skip when the prose is just a personal note with no ontology-shaped concepts.

1 Updated 6 days ago
wlsdks
AI & Automation Listed

ontology-sync

After a code change, sync the project's ontology vault — read what's already there, identify new capabilities / elements / domains introduced by the change, and write them back via the MCP server (or fall back to the CLI). Use this at the end of any task that introduces a new feature, refactors a module, or renames a unit. Skip when the change is purely a typo, style nudge, or test fixture tweak.

1 Updated 6 days ago
wlsdks
AI & Automation Listed

ontology-bootstrap

Bootstrap an empty (or near-empty) oh-my-ontology vault from the surrounding codebase — call analyze_repo_structure once, show the proposed candidates, and selectively land the accepted ones via add_concepts / add_relations (batch writers). Use when the user says "이 codebase 분석해줘" / "bootstrap the ontology" / "fill the vault from the code", or when you notice the vault has only the 5 starter nodes and the user has asked you to do anything ontology-related. Skip when the vault already has 20+ user-curated nodes — bootstrap is for the cold-start case only.

1 Updated 1 weeks ago
wlsdks
AI & Automation Listed

firebase-deploy

Deploy the oh-my-ontology static site to Firebase Hosting from this repo. Use when the user asks to deploy, redeploy, publish the site, update Firebase Hosting, or verify the live web.app URL. The workflow must read `.env.prod`, build the static export, deploy only Hosting, and verify the live URL. Never commit `.env.prod` or introduce Firebase backend services.

1 Updated 2 weeks ago
wlsdks
AI & Automation Listed

ontology-extract

User gave you prose — a meeting note, a PR description, an RFC draft, a chat log, a paragraph from a Notion page — and asks "extract ontology from this" or similar. Read the prose, cross-check the existing vault with `similar_nodes` / `find_evidence`, then propose a small set of candidate nodes/edges, ask the user to pick which to land, and only then call `add_concept` / `add_relation` / `patch_concept`. Skip when the prose is just a personal note with no ontology-shaped concepts.

1 Updated 2 weeks ago
wlsdks
AI & Automation Listed

ontology-sync

After a code change, sync the project's ontology vault — read what's already there, identify new capabilities / elements / domains introduced by the change, and write them back via the MCP server (or fall back to the CLI). Use this at the end of any task that introduces a new feature, refactors a module, or renames a unit. Skip when the change is purely a typo, style nudge, or test fixture tweak.

1 Updated 2 weeks ago
wlsdks

Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.