一键导入
ralph-get-next-feature
Select the next feature to implement from feature_list.json based on priority rules (in_progress first, then first pending).
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Select the next feature to implement from feature_list.json based on priority rules (in_progress first, then first pending).
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Atomically claim a feature for a teammate. Uses file locking to prevent two teammates from claiming the same feature. Teams variant only.
Get a compact summary of project status and feature counts from feature_list.json.
Increment the attempts counter for a feature after a failed implementation attempt. Optionally sets the last_error message.
Interactive assistant that guides users through creating high-quality PRDs for Ralph-RLM Framework. Asks structured questions about project type, requirements, testing needs, and dependency ordering.
Update the status of a feature in feature_list.json (pending, in_progress, complete, or blocked) and recalculate stats.
PRD quality checklist that validates feature completeness, test coverage, sizing, dependency ordering, and acceptance criteria quality.
| name | ralph-get-next-feature |
| description | Select the next feature to implement from feature_list.json based on priority rules (in_progress first, then first pending). |
| user-invocable | false |
Select the next feature to implement from
feature_list.json.
Find the next feature the Ralph Implementer should work on, based on priority rules.
status: "in_progress", select it (retry scenario)status: "pending"feature_list.json (default: ./feature_list.json)JSON object of the selected feature:
{
"id": "F042",
"description": "Validate email format on registration",
"acceptance_criteria": ["Email regex rejects invalid formats", "Valid emails pass through"],
"status": "pending",
"attempts": 0,
"last_error": null,
"notes": "",
"related_files": ["src/validators/"]
}
If no features are available, output:
{ "result": "ALL_COMPLETE" }
ralph skill get-next-feature
feature_list.json if it's large. Use targeted jq queries.in_progress first (handles retry after failure).