komunite/kalfa

AI Adoption Plan designs and documents a structured AI adoption plan with metrics, risk checks, and system integration. Use it when you need an actionable roadmap for introducing AI into a project or team.

AI Assistant Spec creates a structured process for defining an AI assistant with context review, measurable goals, and quality checks. Use it when you need a practical spec that integrates with project memory and task boards.

AI Bias Audit produces a structured audit for AI bias with context gathering, analysis, recommendations, and quality checks. Use it when you need actionable findings, metrics, and an implementation plan.

AI Change Management creates a structured process for planning and validating AI-related changes. Use it to assess readiness, define metrics, and produce actionable implementation steps with quality checks.

AI Code Review analyzes code changes and produces a structured review with checks, risks, and actionable recommendations. Use it when you need a repeatable review workflow with project context and quality validation.

AI Content Pipeline designs and documents a structured process for producing AI-generated content with quality checks and system integration. Use it when you need measurable outputs, human review, and clear metrics for improving the workflow.

AI Cost Optimization creates a structured process for assessing AI use cases, defining metrics, and recommending low-risk automation opportunities. Use it when you need actionable guidance on cost, quality, and human review for AI workflows.

AI Customer Service creates a structured process for designing AI support workflows with quality checks and system integration. Use it when you need actionable recommendations, metrics, and implementation steps for customer service automation.

AI Data Analysis produces structured, actionable analysis using a defined framework, quality checks, and project context. Use it when you need measurable recommendations, metrics, risks, and an implementation plan for AI-related work.

AI Debugging Workflow designs and documents a structured process for debugging AI-related work with checks, metrics, and system integration. Use it when you need repeatable analysis, validation, and follow-up actions.

AI Editing Workflow designs a structured AI editing process with quality checks, metrics, and system integration. Use it to document repeatable editing workflows and validate outputs before rollout.

AI Email Drafting creates structured, quality-checked email drafting workflows for AI-assisted communication. Use it to define inputs, outputs, metrics, risks, and implementation steps for email automation or human-in-the-loop drafting.

AI Ethics Checklist analyzes a project and produces a structured ethics checklist with risks, metrics, and implementation steps. Use it when you need a review process for AI outputs and human oversight.

AI Image Prompt creates structured AI image prompts with context gathering, analysis, and quality checks. Use it when you need a repeatable prompt workflow with measurable outputs and human review points.

AI Meeting Notes creates structured, action-oriented meeting notes with quality checks and system context. Use it when you need a repeatable format with metrics, risks, and next steps.

AI Pair Programming designs a structured workflow for using AI in coding with context review, analysis, output formatting, and quality checks. Use it when you need documented recommendations for integrating AI into a development process.

AI Readiness Assessment analyzes a project for AI adoption with a structured process, metrics, and quality checks. Use it to produce actionable assessments, implementation steps, and risk notes for a specific goal and context.

AI Research Workflow designs and documents a structured process for AI research, with quality checks, metrics, and system context review. Use it to produce actionable research outputs and implementation-ready recommendations.

AI Summarization creates structured, measurable summaries with quality checks and system context. Use it when you need actionable recommendations, metrics, and implementation steps for AI-related work.

Academic Paper Reviewer simulates a multi-perspective peer review of a manuscript and produces reviewer reports, an editorial decision, and a revision roadmap. Use it for first-pass manuscript evaluation, re-review of revisions, or focused methodology review.

Agent Evaluation yapılandırılmış bir süreçle ajan değerlendirmesi analizi ve çıktısı üretir. Hedef, bağlam, metrikler, riskler ve uygulanabilir önerilerle karar vermeniz gereken durumlarda kullanılır.

Ai Agent Design creates structured plans for AI agents with context review, framework selection, metrics, and quality checks. Use it when designing or improving agent workflows that need measurable, reviewable output.

Ai Image Workflow designs and documents a structured AI image process with quality checks and system integration. Use it when you need measurable, repeatable image workflows with human review and implementation steps.

Ai Strategy designs and documents an AI strategy using a structured process, quality checks, and system integration. Use it when you need actionable recommendations, metrics, and implementation steps for an AI initiative.

Deep Research runs a multi-agent workflow for academic research, from question framing and literature review to synthesis, APA reporting, and monitoring. Use it for broad research tasks, systematic reviews, or when you need guided research planning.