engagement-retro
engagement-retro is a Renewals, expansion & QBRs skill for AI agents, published by mohitagw15856 in the pm-claude-skills repository on GitHub. Skillspace rates engagement-retro D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Run a close-out retrospective on a client engagement — capture lessons, results, and the renewal/referral path. Use when asked to wrap up a client project, run an engagement retro, write a project close-out, or plan the follow-on. Produces a close-out — outcomes vs. goals, what worked / what didn't, profitability/scope reality, a reusable lessons log, and the next-engagement or referral ask.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 1,187
Placed #5 of 6 in the judged category final for Renewals, expansion & QBRs.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
- Scope
- Portable: works in any project. Generic consulting engagement close-out retrospective template
Judge review
Placed #5 of 6 in the judged category final for Renewals, expansion & QBRs.
- Trigger
85 85 - Instructions
85 85 - Specificity
78 78 - Safety
92 92 - Disclosure
78 78 - Maintenance
72 72
Thorough close-out template with explicit anti-patterns, though it's a writing framework rather than a data-driven workflow.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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