SDLC-implementation-plan

SDLC-implementation-plan is a Planning & task breakdown skill for AI agents, published by pangon in the ai-sdlc-scaffold repository on GitHub. Skillspace rates SDLC-implementation-plan D (58/100) and it passed the safety scan; the rating is based on static analysis only.

Create a phased implementation plan from design artifacts. Populates tasks.md with short tasks grouped into incremental development phases, each ending with a deployable/testable system. Use after SDLC-decompose, before coding begins.

Grade
D
Quality
58 / 100
Safety
Passed
GitHub stars
119

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.

View source on GitHubpangon/ai-sdlc-scaffold

Our review

Architecture
82 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
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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