Productivity Codex plugins
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Productivity plugins 4
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| Plugin / developer | Category | Follow |
|---|---|---|
Codex Dev WorkflowsSUNNY RAJPALReusable software-development workflows and platform guidance for Codex. Publisher keywords · listing codex skills workflows prompts software-development qa Show in context →5 more matching sourcesPublisher description Reusable software-development workflows and platform guidance for Codex. Show in context → |
ProductivityVersion 0.4.2 | View details → |
AI DevKitHoang NguyenMake AI coding agents follow a repeatable engineering workflow with memory, verification, skills, and multi-agent setup Publisher keywords · listing ai development codex workflow memory skills commands testing code-review debugging Show in context →3 more matching sourcesPublisher full description AI DevKit gives Codex a repeatable software delivery workflow with skills for requirements, design, planning, implementation, testing, review, memory, verification, debugging, refactoring, and multi-agent coordination. Show in context →Publisher description Make AI coding agents follow a repeatable engineering workflow with memory, verification, skills, and multi-agent setup Show in context → |
ProductivityVersion 0.62.1 | View details → |
SegueCSA Intelligence Publisher full description …connected AI assistants for solo ML engineers, AI consultants and small startup teams. Resume model-development work with a compact snapshot of current work, decisions, learnings, constraints and next actions. Open longer sections only when needed. Start with the ML Model Development template. Revie… …sed changes in Segue before applying them, inspect recorded section history, and keep references to code, datasets and experiment runs. Reference checks are attributed declarations, not independent verification by Segue. Segue stores memory and pointers; it does not run models, manage training or replace Git and experiment trackers. Personal contexts and existing brief workflows remain supported. Shared briefs retain their roles and review rules: authorized members contribute, maintainers review, and guests can read only the briefs shared with them. Each user connects th… Show in context →2 more matching sourcesPublisher description Project memory for AI-assisted ML development across connected assistants. Resume work, review proposed updates, and retain decisions, learnings and next steps. Show in context → |
ProductivityVersion 1.3.0 | View details → |
Headcount: TechnologyChris Brock Publisher full description Plan software projects, review architecture and APIs, debug failures, and improve engineering workflows. Headcount Technology includes nineteen reusable skills covering implementation planning, code review, testing, development practices, and AI automation design. Use it to turn requirements into an actionable plan or identify what evidence to collect when a system fails. Works with information you provide and to… Show in context →1 more matching sourcesPublisher description Architecture, engineering delivery, development discipline, debugging, review, and AI and automation systems. Show in context → |
ProductivityVersion 1.0.1 | View details → |
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