m2ai-portfolio
Official@m2ai-portfolio
Enterprise-grade diagnostic and governance framework for auditing, structuring, and optimizing autonomous agent deployments and memory architectures.
Agent Skills by m2ai-portfolio
Showing 177 vetted skills indexed across 1 GitHub repositories.
open-loop-audit
Classify open loops from Obsidian, Notion, calendar, and Git as delegation or simulated work.
claude-code-memory-architect
Design and configure personalized Claude Code memory systems via interview-driven workflows.
workflow-tier-classifier
Classify AI product descriptions into deployment tiers and identify missing layers.
agent-blast-radius
Inventory an autonomous agent's touched files, commits, APIs, processes, and scheduled tasks.
compound-skill-orchestrator
Chains multiple existing skills into a unified multi-stage workflow with isolated contexts.
agent-environment-optimizer
Audit agent execution environments for cold-start patterns and session gaps.
mcp-spec-generator
Generate MCP server specifications with schemas, authentication, and endpoints.
world-model-readiness-diagnostic
Map an organization to a world model paradigm using a structured diagnostic questionnaire.
thesis-cluster-detector
Cluster news items by investment thesis using embedding similarity or keyword co-occurrence.
provider-availability-scout
Compare model-provider availability and pricing changes across multiple vendors.
mcp-portability-auditor
Audit agent stacks for MCP portability and vendor lock-in.
completion-vs-acceptance
Compute per-workflow-type completion and acceptance rates from structured event logs.
impl-arch-audit
Score an AI deployment across six implementation layers to produce a tier verdict.
knowledge-work-tests
Generate evaluation criteria and rubrics for knowledge-work outputs.
pretty-but-wrong
Enumerate unsourced claims, stale data, and calculation errors in AI-generated documents.
next
Generate a Markdown handoff document and task summary for a new Claude Code session.
inference-layer-ownership-auditor
Audit AI inference stack layers and generate a lock-in risk report.
data-fabric-fit-assessor
Classify data infrastructure and map it to the best-fitting AI agent fabric.
strategic-timing-matrix
Map pending decisions against macro events to generate timing recommendations.
demotion-audit
Determine software tool demotion with usage, ownership, and maintenance-cost triggers.
brand-memory-probe
Probe brand recall across Claude, ChatGPT, Gemini Pro, and Perplexity.
describability-gate
Enforce eight explicit fields before automation projects start.
context-fork-guide
Fork execution context for heavy research and multi-tool skills.
skill-audit
Audit Claude Code skill libraries and workflows for gaps and redundancies.
Frequently Asked Questions About m2ai-portfolio
FAQPage SchemaWhat specific tasks can I perform using these diagnostic skills?▼
You can audit agent readiness, classify deployment tiers, generate MCP server specifications, perform cost-exposure analysis, and implement adversarial review loops to validate model outputs and prevent destructive operations.
Which technical personas benefit most from these registries?▼
These skills are designed for AI architects, infrastructure engineers, and technical leads responsible for governing autonomous systems, managing inference costs, and ensuring production-grade reliability in agentic environments.
What are the prerequisites for integrating these diagnostic manifests?▼
Integration requires a Claude Code environment or compatible runtime capable of executing structured Markdown-based instructions, alongside access to repository history, event logs, and existing agent configuration files.