build – Data & Science skill for AI agents

Feature development pipeline - research, plan, track, and implement major features.

Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to Use

• You need a structured workflow for building a major feature across research, planning, implementation, and tracking.
• The task involves moving a feature through named phases such as research, implementation, progress, or phase.
• You want one command to coordinate status, next steps, and phased delivery for a feature effort.

Example

Input: /build status export-csv for an authorized project whose implementation

plan exists but whose CSV encoding test is still failing. Output: implementation

in progress, failed encoding test and the next repair step; the presence of three

planning files does not justify claiming the feature is complete. With no slash

command support, interpret “show the status of export-csv” the same way.

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Validate feature IDs and destination containment before writing. Host-specific command and question tools are optional interfaces, not prerequisites.
• Read-only status/research does not authorize deployment; existing plans and unrelated work must be preserved.