Skill of Skills
⌨️ cli toolActivePromisingcritical

optio

by jonwiggins

Workflow orchestration for AI coding agents, from task to merged PR.

Stars

980

Skill Type

🚀 CI/CD & Deployment

Quality Score

110/200

License

MIT

Forks

110

Last Updated

Jul 24, 2026

Discovered

Apr 6, 2026

Validation

Passed

github.com/jonwiggins/optio

Quality Breakdown

110/ 200

Content Signals

○Gotchas/Edge Cases+40
✓Progressive Disclosure+30
○Trigger Description+20
○Verification/Safety+20
✓Code Examples+15
✓Composability+15

Repo Health

✓Recent Activity+15
✓Scripts/Automation+10
✓Real Usage (Issues)+10
✓Single Responsibility+10
✓Config/Persistence+10
✓Install Instructions+5

Multi-platform bonus: +5 pts if tool supports 2+ platforms. Score derived from 12 structural signals — not stars or popularity.

Trust & Verification

critical

Manual security review required. Use with extreme caution.

Active

Updated within the last 90 days. Actively maintained.

Unverified skill. Always review source code before installing any skill from an unknown author.

Risk Assessment

  • Workflow orchestration for AI agents with multi-tier execution model (Tasks, Jobs, Persistent Agents) - spawns and orchestrates multiple autonomous agent processes
  • Persistent Agents are long-lived autonomous processes that operate without explicit human approval gates per turn
  • Inter-agent HTTP API allowing agents to address and communicate with each other autonomously
  • Auto-merging capability: 'auto-fixes failures, and merges when everything passes' indicates unattended code merge without human review
  • Multiple Dockerfile definitions (Dockerfile.agent, Dockerfile.api, Dockerfile.optio, Dockerfile.web) suggesting containerized agent spawning and orchestration
  • Database migrations include 'pod_scaling_worktree_lifecycle', 'docker_in_docker', 'statefulset_job_support' - infrastructure-level pod provisioning and scaling automation

Related guides

Best Git & pull-request skills for AI agents