session-retrospective
session-retrospective is a Session review & learning skill for AI agents, published by adobe in the spectrum-web-components repository on GitHub. Skillspace rates session-retrospective D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Document lessons learned after completing work, especially when the user corrected planning documents or implementation. Creates and maintains a persistent lessons file in .ai/memory/ that future agents read at session start.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,522
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
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic lessons-learned retrospective practice any agent project can adopt.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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