fabioc-aloha
User284 curated plugins for AI assistants across 16 categories: security, Azure, documentation, code quality, cloud infrastructure, and more. Works with GitHub Copilot. Drop into .github/skills/local/ and go.
Categories
Indexed Skills (101)
academic-research
Research project scaffolding, thesis/dissertation writing, literature reviews, publication workflows, and the AI assistant-assisted academic workflows
literature-review
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
research-first-development
Build knowledge bases that build software — research before code, teach before execute
ai-agent-design
Design autonomous AI agents that reason, plan, and execute tasks
content-safety-implementation
Azure Content Safety API integration, multi-layer defense pipeline, output validation, and operational safety controls
copilot-sdk
Build applications powered by GitHub Copilot using the Copilot SDK — session management, custom tools, streaming, hooks, MCP servers, BYOK, deployment patterns
evaluate-plugin
Evaluate plugin quality. Use when user says "evaluate plugin", "review plugin quality", "score my plugin", "check plugin", "rate plugin".
foundry-agent-platform
Microsoft Foundry agent deployment, orchestration, and cloud-native AI service patterns
llm-model-selection
Choosing the right model for the task — power vs. cost vs. speed.
make-skill-template
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional scripts/references/assets folders.
mcp-builder
Build MCP servers for LLM tool integration — Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK)
multi-agent-orchestration
Coordinate multiple AI agents for complex tasks — decomposition, delegation, and synthesis
prompt-builder
Create and validate .prompt.md files that pass brain-qa on first attempt
prompt-engineering
Craft effective prompts that get the best results from language models.
rag-architecture
Build retrieval-augmented generation systems that ground LLMs in your data.
sse-streaming
POST-based Server-Sent Events streaming for Azure Functions — HTTP streaming, chunked response parsing, reconnection
token-waste-elimination
Audit and eliminate token waste from cognitive architecture memory files -- instructions, prompts, skills, and agents
api-connector-builder
Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.
architecture-audit
Comprehensive project consistency review across code, documentation, diagrams, and configuration
architecture-refinement
Meta-skill for maintaining and evolving Alex's cognitive architecture through deliberate documentation and pattern extraction.
defaults-plus-overrides
Provide sensible defaults with user-overridable configuration — reduce boilerplate without limiting flexibility
microservices-patterns
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
saga-orchestration
Implement saga patterns for distributed transactions and cross-aggregate workflows. Use this skill when implementing distributed transactions across microservices where 2PC is unavailable, designing compensating actions for failed order workflows that span inventory, payment, and shipping services, building event-driven saga coordinators for travel booking systems that must roll back hotel, flight, and car rental reservations atomically, or debugging stuck saga states in production where compensation steps never complete.
workflow-orchestration-patterns
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
az-cost-optimize
Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.
azure-architecture-patterns
Well-Architected Framework principles and Azure best practices
azure-deployment-operations
Production deployment patterns for Azure Static Web Apps, Container Apps, App Service, and infrastructure
azure-deployment-preflight
Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.
azure-devops-automation
CI/CD pipelines, infrastructure as code, and deployment automation for Azure workloads
azure-openai-patterns
Azure OpenAI API patterns for rate limiting, function calling, error handling, and token optimization
bicep-avm-mastery
Azure Verified Modules (AVM), Bicep best practices, and MCP-powered infrastructure as code for Azure
agent-governance
Patterns for adding safety, trust, and policy enforcement to AI agent systems -- control which tools agents can call, what content they process, and maintain accountability through audit trails.
agent-supply-chain
Generate and verify integrity manifests for AI agent plugins and tools -- detect tampering, enforce version pinning, and establish supply chain provenance (the SLSA/Sigstore gap for agent ecosystems).
agentic-eval
Patterns for agent self-improvement through iterative evaluation and refinement -- generate, evaluate, critique, refine loops that move beyond single-shot generation.
spline-3d-integration
Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
ii-commons
Deterministic search across arXiv, PubMed/PMC, and US policy corpora with daily freshness cutoffs.
latex-paper-conversion
This skill should be used when the user asks to convert an academic paper in LaTeX from one format (e.g., Springer, IPOL) to another format (e.g., MDPI, IEEE, Nature). It automates extraction, injection, fixing formatting, and compiling.
presenting-conference-talks
Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.
agent-evaluation
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
agentic-actions-auditor
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.
multi-agent-architect
Design and optimize production-grade multi-agent systems with LangGraph, LangChain, and DeepAgents for complex AI workflows.
chat-participant-patterns
VS Code Chat API patterns.
api-design
Design APIs that developers love to use.
academic-editorial-judgment
Context-dependent editorial style rules for academic writing — APA7, Chicago, MLA judgment calls
academic-paper-drafting
End-to-end academic paper drafting for CHI, HBR, journals, and conferences with venue-specific templates, drafting workflows, and revision strategies.
academic-paper-drafting
End-to-end academic paper drafting for CHI, HBR, journals, and conferences with venue-specific templates, drafting workflows, and revision strategies.
threejs-animation
Three.js animation - keyframe animation, skeletal animation, morph targets, animation mixing. Use when animating objects, playing GLTF animations, creating procedural motion, or blending animations.
academic-paper-reviewer
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.
deep-dive
Claude-native deep research using DAG-based query planning, parallel subagent execution, and gap-driven iteration. No external API needed.
hugging-face-papers
Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata.
paper-lookup
Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X" or "look up this DOI".
research-summarizer
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.
scholar-evaluation
Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and actionable feedback.
currency-audit
Comprehensive brain file review — external freshness, internal consistency, semantic accuracy — stamp only after full assessment
mall-self-curation
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.
source-inventory
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.
staleness-discipline
Detect, classify, and prune stale source stores in the Mall — define what stale means and how to remove gracefully without breaking downstream consumers.
store-evaluation
Evaluate a proposed store for inclusion in Alex_ACT_Plugin_Mall using a quality scorecard
meditation
Consolidate session learning into permanent architecture — extract patterns into skills, instructions, prompts, or memory
meditation
Consolidate session learning into permanent architecture — extract patterns into skills, instructions, prompts, or memory
memory-systems
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.
context-compression
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.
multi-agent-patterns
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.
ai-memory-setup
Detect, resolve, and manage the Alex_ACT_Memory shared memory bus. Fires on bootstrap, session start (announcements), and feedback writes.
alex-banner-generation
Generate on-brand Alex — ACT Edition SVG banners for documents (READMEs, plans, notes, release artifacts)
creative-writing
Scaffold book-writing projects with folder structure, BOOK-PLAN template, character development matrices, and chapter organization patterns. Use when starting a new book project, planning multi-chapter structure, or building character bibles.
critical-thinking
Challenge what you think is right — alternative hypotheses, missing data, evidence quality, bias detection, falsifiability, and adversarial review
docx-to-md
Convert Word documents (.docx) to clean Markdown with image extraction and pandoc cleanup
greeting-checkin
Greeting-triggered self-check — recognise greetings, check Edition version against the upstream tag, scan AI-Memory announcements, and report inside the greeting reply
lint-clean-markdown
Write markdown that passes markdownlint on first attempt — encode the most common rules as muscle memory
markdown-sanitization-chain
Render user-supplied markdown safely — marked.js → DOMPurify → Mermaid (order matters; skipping the sanitizer is XSS)
md-to-eml
Convert Markdown to RFC 5322 email (.eml) with inline CSS and CID images
md-to-html
Convert Markdown to standalone HTML pages with embedded CSS, images, and Mermaid diagrams
md-to-word
Convert Markdown with Mermaid diagrams and SVG illustrations to professional Word documents
problem-framing-audit
Step-back protocol — restate, generalise, specialise, invert, ask why, pre-mortem, check stakeholders, and audit framings before solving
markdown-mermaid
Author markdown and Mermaid diagrams that render correctly in VS Code, GitHub, and other Mermaid 10+ consumers — covers diagram-tool selection, mandatory init template, parser pitfalls, and visual design rules. Use when writing technical docs with embedded diagrams, debugging Mermaid render failures, or choosing between Mermaid, Excalidraw, and other diagramming tools.
skill-creator
Create skills that pass skill-review's five gates by construction — intent capture, prior-art scan, draft against gates, dogfood self-review. Use when authoring a new skill, refactoring an existing one, or adopting a Mall unit into this brain.
skill-review
Audits a candidate skill (.github/skills/<name>/SKILL.md) against five gates (spec compliance, content quality, scope fit, safety, currency & coherence). Use when reviewing a new skill draft before commit, evaluating a Mall unit or store skill for adoption, or re-auditing existing skills on a periodic cadence. For instructions, prompts, agents — use the matching per-type review skill.
agent-creator
Create agents that pass agent-review's six gates by construction — role capture, distinct-from-skill check, tool allowlist minimization, draft against gates, dogfood self-review. Use when authoring a new agent, refactoring an existing one, or promoting a Mall agent into the heir's brain.
agent-review
Audits a candidate agent (.agent.md) against five gates (spec compliance, content quality, scope fit, safety, currency & coherence) plus Gate 6 (tool allowlist minimality). Use when reviewing a new agent draft before commit, evaluating a Mall agent or store agent for adoption, or re-auditing existing agents on a periodic cadence.
code-review
Systematic code review for correctness, security, and growth — not just style enforcement
deep-review
Adversarial code review with three parallel perspectives — Advocate, Skeptic, Architect — that create productive tension. Use for high-stakes PRs, architectural changes, or when single-pass review would miss issues. Surfaces findings through disagreement, not consensus.
doc-hygiene
Documentation hygiene — anti-drift rules, count elimination, and living document maintenance
git-workflow
Apply consistent git practices for branch hygiene, safe commits, and recovery from common mishaps (lost commits, bad merges, accidental pushes). Use when authoring or reviewing a git workflow, recovering broken local state, or sequencing a commit/push that needs explicit user approval before destructive steps.
instruction-creator
Create instructions that pass instruction-review's five gates (plus Gate 6 for always-on) by construction — intent capture, prior-art scan, applyTo calibration, draft against gates, dogfood self-review. Use when authoring a new instruction, refactoring an existing one, or promoting a Mall instruction into the heir's brain.
instruction-review
Audits a candidate instruction (.instructions.md) against five gates (spec compliance, content quality, scope fit, safety, currency & coherence) plus optional Gate 6 (token budget for always-on instructions). Use when reviewing a new instruction draft before commit, evaluating a Mall instruction or store instruction for adoption, or re-auditing existing instructions on a periodic cadence.
prompt-creator
Create prompts that pass prompt-review's five gates by construction — intent capture, slash-command naming, single-workflow scope, draft as numbered steps, dogfood self-review. Use when authoring a new prompt, refactoring an existing one, or promoting a Mall prompt into the heir's brain.
prompt-review
Audits a candidate prompt (.prompt.md) against five gates (spec compliance, content quality, scope fit, safety, currency & coherence). Use when reviewing a new prompt draft before commit, evaluating a Mall prompt or store prompt for adoption, or re-auditing existing prompts on a periodic cadence.
security-and-hardening
Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. OWASP-aware, language-agnostic principles with TypeScript examples — applies to any feature that accepts untrusted data, manages user sessions, or interacts with third-party services.
status-reporting
Create stakeholder-friendly project status updates and progress reports
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Four-phase root-cause-first method (investigate → pattern-analyze → hypothesize → implement) that beats guess-and-check thrashing.
brain-audit
Perform a local brain audit for ACT Edition (and Supervisor) using deterministic QA plus targeted file review, then produce severity-ranked fixes. Pairs with extension-audit on the sibling surface side; the Marketplace surface routes there, not here.
anti-hallucination
Prevent fabricated facts, invented APIs, and citation confabulation at the point of generation. Use when generating factual claims, code examples, API references, library names, configuration values, error messages, or citations — anything where 'sounds plausible' is not the same as 'is real'.
humanizer
Use when the user wants to humanize, de-AI, de-slop, or un-ChatGPT a piece of text — strip AI-isms and add real voice. Scans for 29 documented AI-writing patterns (Wikipedia's "Signs of AI writing") and produces a draft → self-audit → final rewrite. Optional voice-calibration from a user-provided writing sample. Adapted from Hermes Agent / blader/humanizer.
plan
Use when the user wants a plan instead of execution, or before any non-trivial implementation (multi-file, architectural choice, > 15 min). Writes a concrete actionable markdown plan with bite-sized tasks (2-5 min each), exact file paths, complete code, and verification steps. Adapted from Hermes Agent / obra/superpowers.
spike
Use when the user wants to feel out an idea before committing to a real build — "spike this out", "try it", "is this even possible?", "compare A vs B". Throwaway experiments that decompose into 2-5 feasibility questions, build minimal observable prototypes, and return VALIDATED / PARTIAL / INVALIDATED verdicts. Disposable by design. Adapted from Hermes Agent / GSD.
test-driven-development
Use for any feature, bug fix, refactor, or behavior change — enforces RED-GREEN-REFACTOR. Write the failing test first, watch it fail, write minimal code to pass, refactor. Carve out only throwaway prototypes, generated code, configuration files. Adapted from Hermes Agent / obra/superpowers.
html-to-md
Convert HTML documents to clean Markdown via pandoc
md-to-txt
Strip Markdown formatting and produce clean plain text via pandoc
kebab-name
<≤300 chars, third-person, behavioral, names what + when (trigger phrases)>
Showing top 100 of 101 skills by quality score. Browse the full catalog at /browse.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.