flow-next-prime
FeaturedComprehensive codebase assessment for agent and production readiness. Classifies the project (lifecycle, topology, size, stack, shape), scans 8 pillars, verifies commands actually run, checks GitHub settings. Leads with a verdict + ranked next-actions; fixes agent readiness only. Triggers on /flow-next:prime.
Install
Quality Score: 95/100
Skill Content
Details
- Author
- gmickel
- Repository
- gmickel/flow-next
- Created
- 9 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
agentgrade
Audit any AI agent codebase for production readiness. Grades the repo against five pillars — evaluation, observability, data foundation, orchestration, governance — plus an incident playbook check, then reports the gaps ranked by risk with the exact artifact to build next. Use when the user says "audit my agent", "agentgrade", "is this agent production ready", "production readiness check", "agent gap analysis", or is about to deploy/launch an AI agent to real users.
flow-next-qa
Live-app QA pass derived from the spec. Drives the running app, files P0/P1/P2 findings with evidence, emits a YES or NO qa_verdict receipt.
agent-production-readiness
Reviews an AI agent for production readiness across evaluation, cost, observability, guardrails, human oversight, reliability, and governance. Use when someone is preparing an agent for production or a go-live, asking whether an agent is ready to ship, reviewing an agent's design, prompt, tools, or deployment, or hardening a working prototype into a dependable system. Produces an evidence-based scorecard and a prioritized list of the gaps to close.