ai-dlc
ai-dlc is a Multi-stage workflow orchestration skill for AI agents, published by Polyterative in the Patcher repository on GitHub. Skillspace rates ai-dlc D (68/100) and it passed the safety scan; the rating is based on static analysis only.
AWS AI-DLC (AI Development Life Cycle) formal phased workflow for software development — Inception (workspace detection, reverse engineering, requirements analysis, user stories, workflow planning, application design, units generation) → Construction (functional design, NFR, infrastructure design, code generation, build and test) → Operations. Use this skill ONLY when the user explicitly requests AI-DLC, references AIDLC phases by name (e.g., "do the inception phase", "run reverse engineering"), or asks to follow the structured AWS AI-DLC process. Do NOT load for normal Patcher development work — that uses the `patcher` skill instead.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- AGPL-3.0
- 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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