Add a new property to the AI agents database. Use when the user wants to add, create, or introduce a new column, property, field, or feature to track across all agents in the comparison matrix. Handles all four required steps - database updates, groups.json, table display, and GitHub issue templates.
The English summary is being prepared. Showing the original description.
Review the instructions the agent will receive before you install.
Add a new property to the agents board by modifying four files in sequence.
Schema reference: See references/schema.md for data structures.
Ask the user for:
contextWindow)badge (yes/no/partial) or text (free-form)identity, packaging, or featuresAdd the property to every agent in src/data/agents-detailed.json:
"propertyKey": {
"value": null,
"detail": null
}
Insert after the last feature property, before additionalInfo.
Add the property key to the appropriate group's columns array in src/data/groups.json:
{
"id": "features",
"label": "Features",
"columns": ["existingProp", "propertyKey"]
}
Add column definition to the columns array in src/components/AgentTable.jsx:
{ key: 'propertyKey', label: 'Label', sortable: true, cellType: 'badge', tooltip: 'Description' }
Insert at the position matching its group order.
Add transformation in src/hooks/useAgentsData.js:
propertyKey: agent.propertyKey.value,
propertyKeyDetail: agent.propertyKey.detail,
If the property is in packaging or features group and has cellType: 'badge', add it to the featureOptions array in src/components/FilterBar.jsx:
{ key: 'propertyKey', label: 'Label' }
Insert in the appropriate section (Packaging or Features) following the existing order.
01-update-agent.md - Add under Features section:
- [ ] **Property Label** (`propertyKey`)
- New value: <!-- yes/no/partial/null -->
- Detail:
02-add-new-agent.md - Add new section with property definition, value format, and examples.
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
[00] TnR ABSOLUTE RIGOR — Systemic Verification Doctrine. Forced cognitive exertion for high-stakes investigations. Mandates absolute deconstruction, mathematical proof chains, and ≥95% derived certainty. Zero-tolerance for heuristics or sentiment-based reasoning. Shortcuts are defined as intentional hallucinations.
The English summary is being prepared. Showing the original description.
Configures 2-Agent workflow between PM and implementation roles. Use when user mentions 2-Agent, 2エージェント, PM連携設定, Cursor設定, Cursor連携, 2-agent運用. Do NOT load for: 単独運用, ワークフロー実行, ハンドオフ処理.
The English summary is being prepared. Showing the original description.
Appends relevant hashtags to journal entries based on content analysis. Intended for LLM execution.
The English summary is being prepared. Showing the original description.
Add a new AI coding agent to Agent Sandbox. Creates all required files (Dockerfile, templates, CI, docs) and wires the agent into the CLI, proxy, and build system.
The English summary is being prepared. Showing the original description.
Add new Agent templates to the meta-agent-skills framework.
The English summary is being prepared. Showing the original description.
Add a new tool to the backend OpenAI function calling system. Use when user mentions "new tool", "add tool", "backend function", "agent capability", or wants to extend what the AI agent can do.
The English summary is being prepared. Showing the original description.