ai-workflow-audit

ai-workflow-audit is a Business analysis & reporting skill for AI agents, published by latour-ai in the skills repository on GitHub. Skillspace rates ai-workflow-audit D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Interview a team about their recurring workflows, bottlenecks, data sources, and tools — one question batch at a time — then map the workflows to AI opportunities scored on impact × feasibility and deliver a prioritized AI adoption roadmap with quick wins, skill candidates to build, and risks. For investment firms and professional teams of any function. Trigger on phrases like "audit our workflows for AI," "where should we use AI," "AI opportunity assessment," "interview me about our processes," "help us figure out what to automate," "AI readiness review," "build our AI roadmap," or "which of our tasks should AI do." Do NOT use for generating specific skill ideas from an already-known workflow — use the investment-skill-creator skill. Do NOT use for learning what AI can do in general — use the teach-me skill.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
35

Unproven: rated by static analysis only, not yet compared head-to-head.

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
81 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
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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