feature-development
feature-development is a Multi-stage workflow orchestration skill for AI agents, published by jpablodrexler in the jp-photo-manager repository on GitHub. Skillspace rates feature-development D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Orchestrates the full feature lifecycle end-to-end: selects the next feature, proposes SDD artifacts if missing, implements all change tasks, runs code, security, and (when schema files changed) database reviews (findings fixed before continuing), runs backend and frontend tests until they pass, builds updated Docker images and deploys them via Kubernetes (if a live cluster deployment exists) or Docker Compose (if Docker is running), then archives the SDD change and marks the feature as implemented. Use when you want a fully automated feature development cycle with minimal manual steps. TRIGGER when the user asks to develop a feature.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 29
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 72 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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