Alex_Skill_Mall

Build applications powered by GitHub Copilot using the Copilot SDK — session management, custom tools, streaming, hooks, MCP servers, BYOK, deployment patterns

CI/CD pipelines, infrastructure as code, and deployment automation for Azure workloads

Domain: DevOps & Cloud Engineering

Convert Word documents (.docx) to clean Markdown with image extraction and pandoc cleanup

Convert Markdown to RFC 5322 email (.eml) with inline CSS and CID images

Convert Markdown to EPUB 3 e-books via Pandoc.

Convert Markdown to standalone HTML pages with embedded CSS, images, and Mermaid diagrams

Convert Markdown to LaTeX source via Pandoc.

Convert Markdown to PDF via Pandoc with two rendering engines.

Convert Markdown to PowerPoint presentations via Pandoc.

Convert Markdown with Mermaid diagrams and SVG illustrations to professional Word documents

Convert PowerPoint (.pptx) to Markdown via Pandoc.

Older action versions trigger deprecation warnings and will eventually break:

Universal deployment patterns for any project type.

Documentation decay rates by content type — hardcoded numbers and version pins rot fastest

Scaffold properly structured Markdown files from templates for clean first-pass conversion

Node.js installed via winget collides with nvm — path priority, shim conflicts, resolution steps

How the Plugin Mall scans, scores, and prunes itself. The Mall is a self-curating repo; this skill is its operational playbook for the weekly catalog refresh and trust scoring. Use when working on the scan pipeline, debugging a stuck weekly PR, or onboarding to Mall internals.

Consolidate session learning into permanent architecture — extract patterns into skills, instructions, prompts, or memory

Maintain the source registry in sources/supported-stores.json — add a new third-party plugin store, retire one, refresh metadata, validate the schema. Use when proposing a registry change, after the weekly cron flags a source as unhealthy, or when a candidate store needs evaluation before adding.

Detect, classify, and prune stale source stores in the Mall — define what stale means and how to remove gracefully without breaking downstream consumers.

Evaluate a proposed store for inclusion in Alex_ACT_Plugin_Mall using a quality scorecard

Comprehensive brain file review — external freshness, internal consistency, semantic accuracy — stamp only after full assessment

This skill should be used when building agent evaluation systems: deterministic checks, regression suites, multi-dimensional rubrics, quality gates, production monitoring, baseline comparison, and outcome measurement for agent pipelines.

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks

This skill should be used for persistent semantic memory in agent systems: cross-session knowledge retention, entity tracking, temporal validity, graph or vector retrieval, memory consolidation, and memory benchmark selection. Route file-backed scratchpads to filesystem-context, handoff summaries to context-compression, and token-efficiency tactics to context-optimization.

This skill should be used for the tool-interface layer of an agent system specifically: writing tool descriptions agents can route on, designing tool schemas and response formats, naming conventions, actionable error recovery messages, MCP server design, tool-set consolidation, and deciding when to add or remove an individual tool. Use this when the unit of work is a single tool or a set of tools. Route project-shape, pipeline architecture, and task-model-fit decisions to project-development; route deciding whether to introduce sub-agents to multi-agent-patterns.

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.

This skill should be used when modeling agent mental states with BDI concepts: beliefs, desires, intentions, RDF-to-belief transformations, rational agency traces, cognitive agents, BDI ontologies, and neuro-symbolic AI integration.

This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.

This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-pattern issues, and agent performance degradation caused by accumulated or conflicting context.

This skill should be used when designing hosted or background agent infrastructure: sandboxed execution, remote coding environments, warm pools, session persistence, multiplayer collaboration, self-spawning agents, or Modal-style sandboxes.

Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows.

This skill should be used when designing multi-agent systems that need context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, or a decision on whether multiple agents are justified.

Effective patterns for on-call shift transitions, ensuring continuity, context transfer, and reliable incident response across shifts.

Coordinate quota-aware parallel subagents for large, multi-file Antigravity tasks.

Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Always search tools first for current schemas.

Format and draft compelling LinkedIn posts using Unicode bold/italic styling, visual separators, structured sections, and engagement-optimized patterns. USE FOR: draft LinkedIn post, format text for LinkedIn, create social media post, write thought leadership post, convert content to LinkedIn format, LinkedIn carousel text, Unicode bold italic formatting.

High-intent expert for LinkedIn profile checks, authority building, and SEO optimization. Invoke to audit, rewrite, and enhance profiles for top 1% positioning.

Extract action items from today's Granola/Grain meetings, create Todoist tasks, complete fulfilled tasks, and draft meeting-triggered follow-up emails. Use when running the daily action items cron, post-meeting cron, or when user asks to process meeting action items. NOT for general email drafting without meeting context.