fabioc-aloha

spline-3d-integration

Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.

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-research

Research project scaffolding, thesis/dissertation writing, literature reviews, publication workflows, and the AI assistant-assisted academic workflows

ii-commons

Deterministic search across arXiv, PubMed/PMC, and US policy corpora with daily freshness cutoffs.

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.

research-first-development

Build knowledge bases that build software — research before code, teach before execute

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

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-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.

agentic-eval

Patterns for agent self-improvement through iterative evaluation and refinement -- generate, evaluate, critique, refine loops that move beyond single-shot generation.

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

model-router

Plan AI model work across Microsoft Foundry, Hugging Face, and ElevenLabs using live provider evidence. Use when choosing a model or provider, comparing cross-provider options, decomposing multimodal work, estimating constraints, or preparing an executable plan before any paid service call.

model-task-execution

Execute an approved model task plan through Microsoft Foundry, Hugging Face, or ElevenLabs and record provider evidence. Use after model-router emits a valid plan and the user wants to run it, monitor jobs, cancel work, download outputs, or apply an approved fallback.

setup-ai-operations

Configure optional Microsoft Foundry, Hugging Face, and ElevenLabs provider access for AI Operations. Use after installing the plugin, when a provider is unavailable, when auditing authentication, or when previewing and provisioning the exact ElevenLabs private runtime.

mall-self-curation

Operate the Plugin Mall's canonical vendor, contribution, scan, score, render, and validation workflows. Use when importing or refreshing curated plugins, reviewing contributor PRs, running first-party maintenance, debugging the weekly catalog refresh, or onboarding to Mall internals.

currency-audit

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

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

1 Updated 1 months ago

chat-participant-patterns

VS Code Chat API patterns.

mcp-development

Domain: AI Infrastructure

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.).

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.

multi-agent-architect

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

academic-editorial-judgment

Context-dependent editorial style rules for academic writing — APA7, Chicago, MLA judgment calls

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.

survey-instrument-verification

Manuscripts evolve terminology that may not match what was actually administered:

agent-evaluation-rubrics

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.

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.

agent-tool-design

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.

bdi-mental-states

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.

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.

context-degradation

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.

hosted-agents

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.

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.

meditation

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

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.

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 current-brand Alex SVG banners with the canonical x-loop and navy/emerald/teal/cyan palette. Use for READMEs, plans, notes, and release artifacts.

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'.

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.

browser-tools

Use VS Code 1.127+ browser tools (open_browser_page, screenshot_page, click_element, navigate_page, run_playwright_code) to reach content plain fetch_webpage can't hit (bot-protected sites, JavaScript-rendered pages, interactive gates) and to validate visual/design output via screenshot-driven review.

Code & Development Listed

code-review

Systematic code review for correctness, security, and growth — not just style enforcement

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

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

Data & Documents Listed

docx-to-md

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

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.

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

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.

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.

lint-clean-markdown

Write markdown that passes markdownlint on first attempt — encode the most common rules as muscle memory

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.

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

Data & Documents Listed

md-to-word

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

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.

problem-framing-audit

Step-back protocol — restate, generalise, specialise, invert, ask why, pre-mortem, check stakeholders, and audit framings before solving

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.

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.

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.

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.

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.

Data & Documents Listed

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)>

log-curation-change

Append a one-line entry to docs/ledgers/curation-log.md whenever a brain artifact is added, modified, or removed. Use when committing changes to .github/skills, .github/instructions, .github/prompts, or .github/agents.