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SkillsMP は fabioc-aloha/Alex_Skill_Mall から 379 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 379 件中 40 件を表示しています。
Create or improve a Markdown instruction, skill, prompt, or agent from an explicitly selected file or user-identified text. Use when a user asks to optimize an existing brain artifact or create one for consistent future execution.
原文の言語: 英語
Clear documentation through visual excellence
原文の言語: 英語
Assess active Markdown brain files in a local AI agent project or plugin source without changing it. Use before modifying a brain or reviewing declared instructions, skills, prompts, agents, bundled Markdown resources, and research documentation.
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
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…
原文の言語: 英語
Generate an executive organization brief (leadership chain, direct reports, extended teams, and vendor partners) for a target person. Produces a Word + PDF report from a directory MCP source (WorkIQ is the reference implementation) and displays it in a…
原文の言語: 英語
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…
原文の言語: 英語
Analyze Power BI semantic models for column-level overlaps that confuse Copilot and Fabric data agents. Detect ambiguity, review with domain expert, apply fixes via MCP.
原文の言語: 英語
Analyze documentation gaps, create Architecture Decision Records (ADRs), and build knowledge indexes. Use after feature completion, during knowledge sharing, or when onboarding documentation needs ...
原文の言語: 英語
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariat...
原文の言語: 英語
Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
原文の言語: 英語
Context-dependent editorial style rules for academic writing — APA7, Chicago, MLA judgment calls
原文の言語: 英語
End-to-end academic paper drafting for CHI, HBR, journals, and conferences with venue-specific templates, drafting workflows, and revision strategies.
原文の言語: 英語
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…
原文の言語: 英語
Research project scaffolding, thesis/dissertation writing, literature reviews, publication workflows, and the AI assistant-assisted academic workflows
原文の言語: 英語
APA 7th formatting, citation integration, reference validation, and bibliography generation
原文の言語: 英語
Claude-native deep research using DAG-based query planning, parallel subagent execution, and gap-driven iteration. No external API needed.
原文の言語: 英語
Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata.
原文の言語: 英語
Deterministic search across arXiv, PubMed/PMC, and US policy corpora with daily freshness cutoffs.
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
Systematic literature search, synthesis, gap identification, and narrative construction for academic research
原文の言語: 英語
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,…
原文の言語: 英語
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.
原文の言語: 英語
Build knowledge bases that build software — research before code, teach before execute
原文の言語: 英語
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…
原文の言語: 英語
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.
原文の言語: 英語
Manuscripts evolve terminology that may not match what was actually administered:
原文の言語: 英語
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.
原文の言語: 英語
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
原文の言語: 英語
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.
原文の言語: 英語
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…
原文の言語: 英語
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).
原文の言語: 英語
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,…
原文の言語: 英語
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…
原文の言語: 英語
Patterns for agent self-improvement through iterative evaluation and refinement -- generate, evaluate, critique, refine loops that move beyond single-shot generation.
原文の言語: 英語
Design autonomous AI agents that reason, plan, and execute tasks
原文の言語: 英語
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.
原文の言語: 英語
VS Code Chat API patterns.
原文の言語: 英語