TMCP 0.2.2

Highlights

• Adds the tmcp_recommend_workflows MCP tool to turn harvested skill/instruction signals into ranked quality workflows.
• Scores priority domains including UI quality, security/privacy, testing, release readiness, developer experience, maintainability, performance, and data integrity.
• Can write reusable recommendation artifacts: workflow-recommendations.json, workflow-recommendations.md, and priority-profile.json.
• Updates Codex, Claude, MCP Registry, examples, quickstart, and verification docs for the new workflow recommendation surface.

Verification

• Local unittest suite: 18 tests passing.
• Direct MCP stdio smoke for tmcp_recommend_workflows passing.
• GitHub Actions run 28260626270 passed on macOS, Ubuntu, and Windows across Python 3.10 and 3.13.