codex

AgentKit Core

Deeply personalized Skills4-IT workflows spanning .NET, Power Platform, MCP/agents, training business, consulting delivery and knowledge/relationship context.

0 on GitHubby Skills4-ITv2.4.1MITupdated 2 months agoProductivity

Plugin agentkit-core in RemseyMailjard/agentkit. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (119)

  • analyze-adoption

    Use when a user wants to understand why a technology, AI tool or process may not be adopted and what interventions are likely to improve usage.

  • analyze-decision

    Use when a user wants to identify what was decided, what remains an assumption, and whether notes, messages or requirements contain conflicting statements.

  • analyze-incident

    Use when an outage or production failure needs an evidence-based timeline, root cause, impact and preventive actions.

  • analyze-requirements

    Use when a user provides a feature request, client request, brief or requirement set and wants it made implementation-ready and testable.

  • assess-agent-readiness

    Use when an AI agent should be assessed for pilot or production readiness.

  • assess-agentkit-release

    Use when AgentKit should be assessed for a versioned release across structure, routing, eval coverage and deprecations.

  • assess-ai-product-opportunity

    Use when an AI/agent idea should be assessed for real product value, frequency, feasibility and safer non-AI alternatives.

  • assess-automation-opportunity

    Use when a business process should be assessed for Power Automate, agentic automation or another workflow automation approach.

  • assess-automation-scale

    Use when an automation's likely volume, cost and bottlenecks should be assessed before scaling.

  • assess-mcp-release-readiness

    Use when an MCP server should be assessed for pilot or production readiness.

  • assess-product-opportunity

    Use when repeated consulting, training or delivery work may be turned into a reusable product, workshop, service or subscription.

  • assess-training-readiness

    Use when a training, workshop or hands-on session must be checked for real-world delivery readiness, including labs, access, tooling and fallback plans.

  • audit-agentkit-routing

    Use when AgentKit Skill/plugin routing should be checked for ambiguous triggers and boundary regressions.

  • audit-knowledge-quality

    Use when a knowledge base, memory set or project context should be reviewed for staleness, duplication, unsupported claims and weak provenance.

  • audit-person-memory

    Use when stored person context should be reviewed for relevance, duplication, sensitivity and unsupported inference.

  • build-case-study

    Use when completed client work should become a credible case study without exaggeration.

  • build-mcp-test-plan

    Use when an MCP server needs a practical test matrix across protocol, backend, auth and failures.

  • build-operational-runbook

    Use when a technical process needs an executable runbook with troubleshooting and escalation.

  • build-person-context

    Use when provided messages or notes should be turned into a respectful, durable person-context summary.

  • build-task-context

    Use when a task needs a compact relevant context package assembled from a larger body of knowledge or project history.

  • build-training-module

    Use when one part of a technical training should be designed from concept through explanation, example, demo, guided practice and challenge.

  • check-definition-of-done

    Use when a user wants to verify whether code, a document, workflow, project result or other artifact is genuinely complete rather than merely implemented.

  • choose-daily-focus

    Use when the user wants to choose one meaningful outcome to finish today while protecting focus and energy.

  • close-consulting-engagement

    Use when a consulting engagement should be closed with acceptance, value evidence, open items and reusable IP captured.

  • close-work-item

    Use when a user wants to determine whether a project, task, delivery or client item is truly ready to close.

  • compare-options

    Use when a user wants to compare technologies, architectures, vendors or implementation approaches and receive a concrete recommendation.

  • compound-learning

    Use when new knowledge should be converted into reusable teaching, consulting or product assets rather than remain passive learning.

  • compress-context

    Use when a large conversation, project history or document set must be compressed without losing decisions, constraints, evidence and next actions.

  • conduct-decision-research

    Use when research should support a concrete technical, product or business decision rather than produce a generic information summary.

  • curate-knowledge

    Use when notes, research or project information should be cleaned, deduplicated and stored as durable reusable knowledge rather than raw history.

  • define-analytics-question

    Use when a vague reporting or analytics request should become a decision-oriented data question.

  • design-agent-evals

    Use when an agent, MCP workflow or AI automation needs practical evaluation cases for routing, tools, failures and safe behavior.

  • design-agent-product

    Use when an AI agent should be designed as a product with user journey, trust, metrics, feedback and governance built in.

  • design-api-integration

    Use when an API-backed integration needs capability mapping, auth, contracts, resilience and deployment-aware architecture.

  • design-automation-fallback

    Use when a critical automation needs safe manual recovery and reconciliation behavior.

  • design-automation-operations

    Use when an automation needs monitoring, SLA, ownership and operational support design.

  • design-azure-integration

    Use when an integration or backend capability needs a minimal Azure architecture with identity, security, operations and rollback.

  • design-dotnet-service

    Use when a .NET service or API should be designed with clear boundaries, DI, configuration, observability and testability.

  • design-enterprise-rollout

    Use when a user wants a practical rollout plan for a new AI, Microsoft or digital capability in an enterprise environment.

  • design-event-driven-flow

    Use when a workflow may benefit from events, queues, asynchronous processing or decoupled integration.

  • design-governance

    Use when a new AI, Microsoft or digital capability needs proportionate governance, ownership and minimum policy controls.

  • design-learning-sprint

    Use when a technical topic should be learned quickly through hands-on work with clear proof of competence.

  • design-m365-solution

    Use when a business process or productivity problem should be translated into a practical Microsoft 365, Power Platform or Copilot solution architecture.

  • design-mcp-capabilities

    Use when an API or backend should be translated into a clean MCP capability model.

  • design-mvp

    Use when a user wants to turn an idea into the smallest practical MVP that can validate value, feasibility and demand.

  • design-offering

    Use when a consulting, training or AI capability needs to become a sellable package, workshop, service or subscription.

  • design-pilot

    Use when a product, AI capability, automation or enterprise change should be validated through a small controlled pilot before scale-up.

  • design-power-platform-solution

    Use when a Power Apps, Power Automate or Dataverse solution needs architecture, environment, governance and ALM decisions.

  • design-quarter-focus

    Use when many goals should be reduced to a focused quarterly direction with a small set of compounding initiatives.

  • design-trainer-demo

    Use when a technical concept needs a reliable instructor demo with clear talking points, expected observations and fallback behavior.

  • diagnose-technical-issue

    Use when a technical problem, error or unreliable behavior must be narrowed to the most likely cause and next diagnostic step.

  • extract-reusable-ip

    Use when completed project, training, consulting or development work should be mined for reusable assets, templates, Skills, labs or products.

  • final-message-check

    Use when a user wants a fast final check of an email, chat message or other outbound text before sending, focused only on material risks and clarity.

  • find-next-action

    Use when a user provides an email, note, meeting outcome, project item or conversation and wants the next concrete action or waiting-for state.

  • generate-test-strategy

    Use when a user wants a practical test strategy derived from requirements, risks, changes or acceptance criteria.

  • grow-client-account

    Use when existing client work should be reviewed for follow-on opportunities, relationship actions and reusable value.

  • identify-training-expansion

    Use when completed training may lead to additional modules, workshops or implementation support.

  • improve-observability

    Use when debugging or operations are hindered by missing logs, metrics, traces or correlation data.

  • manage-commercial-pipeline

    Use when multiple leads and opportunities should be prioritized into a focused commercial pipeline.

  • manage-consulting-scope

    Use when a consulting engagement needs clear scope control, assumptions and risk tracking.

  • optimize-agent-economics

    Use when an agent's latency, token/tool cost or operational overhead should be balanced against task value.

  • optimize-agentkit-context

    Use when AgentKit token/context cost should be reduced without losing capability quality.

  • plan-change

    Use when a user wants to implement a technical or process change safely, including impact, dependencies, verification and rollback.

  • plan-content-campaign

    Use when one core topic should be turned into a small coherent set of content assets tied to a business goal.

  • plan-content-reuse

    Use when a source artifact such as training, research, code, notes or a client solution should be repurposed into multiple useful outputs.

  • plan-training-day

    Use when learning objectives and modules should be turned into a realistic instructor-led day plan with enough practice and contingency.

  • position-workshop

    Use when a workshop or training product needs a clear promise, audience, business value and realistic outcome.

  • prepare-change-communication

    Use when a release, rollout or process change should be communicated clearly to users and stakeholders.

  • prepare-client-handoff

    Use when a consulting solution should be handed over with ownership, documentation and capability transfer.

  • prepare-client-status

    Use when project information should be turned into a concise stakeholder status update.

  • prepare-continuation

    Use when work must be paused or transferred and the user wants a clean continuation checkpoint for a future session or another AI.

  • prepare-executive-brief

    Use when complex technical or project information should be converted into a concise management decision brief.

  • prepare-handoff

    Use when a user wants to transfer project, task or conversation context to another person or AI so work can continue without rereading the full history.

  • prepare-person-followup

    Use when the user wants context and the next useful follow-up before contacting someone.

  • prepare-power-platform-release

    Use when a Power Platform solution must be promoted safely across environments.

  • prepare-proposal-strategy

    Use when an active opportunity needs a proposal strategy before writing the actual proposal.

  • prepare-security-approval

    Use when a technical change needs a concise security approval package rather than an open-ended review.

  • prepare-training-delivery

    Use when an upcoming client training needs a complete operational readiness check.

  • prioritize-agent-roadmap

    Use when an AI agent roadmap should be phased from prototype through pilot to production based on value and evidence.

  • prioritize-learning-radar

    Use when technology updates, courses or topics should be filtered into a focused learning radar based on real work relevance.

  • prioritize-work
  • process-meeting-outcomes
  • qualify-opportunity
  • qualify-training-request
  • rebalance-personal-load
  • record-architecture-decision
  • review-agent-design
  • review-agentkit-capabilities
  • review-analytics-access
  • review-api-architecture
  • review-aspnet-endpoints
  • review-automation-reliability
  • review-dashboard-value
  • review-data-quality
  • review-decision-quality
  • review-dotnet-implementation
  • review-ef-data-access
  • review-fix-plan
  • review-initiative-portfolio
  • review-mcp-contracts
  • review-power-app
  • review-power-automate-flow
  • review-power-platform-solution
  • review-privacy-impact
  • review-security-posture
  • review-training-content
  • review-training-delivery
  • run-strategic-review
  • run-weekly-review
  • secure-agent-workflow
  • shape-client-proposal
  • shape-linkedin-post
  • summarize-relationship-context
  • systemize-personal-routine
  • triage-personal-inbox
  • update-training-from-radar
  • validate-claims
  • verify-security-controls
  • write-technical-guidance
View source on GitHub

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