Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations
GitHub Copilot Coding Agent automation. Apply the ai-copilot label to an issue → GitHub Actions auto-assigns Copilot via GraphQL → Copilot creates a Draft PR. One-click issue-to-PR pipeline.
Build production-ready AI workflows using Firebase Genkit. Use when creating flows, tool-calling agents, RAG pipelines, multi-agent systems, or deploying AI to Firebase/Cloud Run. Supports TypeScript, Go, and Python with Gemini, OpenAI, Anthropic, Ollama, and Vertex AI plugins.
Internal structural hygiene for judgment-bearing outputs.
'Build composable skill modules with hub-and-spoke loading. Use when: token budget is tight, complexity is high.'
'Autonomous orchestrator processing manifest work items through the development lifecycle with budget tracking.'
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'Import external documents (PDF, DOCX, PPTX, XLSX, HTML) into editable markdown for rewriting or project integration.'
'Convert a Claude Code session into a shareable blog post or case study capturing decisions, process, and outcomes.'
Extract writing voice from user samples using SICO comparative
Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
Top-level driver for the PaperOrchestra pipeline. Read this document and follow
Faithful implementation of the Plotting Agent from PaperOrchestra
Provides distributed transaction patterns using the Saga Pattern for Spring Boot microservices. Use when implementing distributed transactions across services, handling compensating transactions, ensuring eventual consistency, or building choreography or orchestration-based sagas with Kafka, RabbitMQ, or Axon Framework.
- **Skill Name**: file-upload
Build Shopify applications, extensions, and themes using GraphQL/REST APIs, Shopify CLI, Polaris UI components, and Liquid templating. Capabilities include app development with OAuth authentication, checkout UI extensions for customizing checkout flow, admin UI extensions for dashboard integration, POS extensions for retail, theme development with Liquid, webhook management, billing API integration, product/order/customer management. Use when building Shopify apps, implementing checkout customizations, creating admin interfaces, developing themes, integrating payment processing, managing store data via APIs, or extending Shopify functionality.
Web accessibility patterns for news sites, journalism tools, and academic platforms. Use when building accessible interfaces, auditing existing sites for WCAG compliance, writing alt text for news images, creating accessible data visualizations, or ensuring content reaches all readers including those using assistive technologies. Essential for newsroom developers and anyone publishing web content.
Legal methods for accessing paywalled and geo-blocked content. Use when researching behind paywalls, accessing academic papers, bypassing geographic restrictions, or finding open access alternatives. Covers Unpaywall, library databases, VPNs, and ethical access strategies for journalists and researchers.
Digital archiving workflows with AI enrichment, entity extraction, and knowledge graph construction. Use when building content archives, implementing AI-powered categorization, extracting entities and relationships, or integrating multiple data sources. Covers patterns from the Jay Rosen Digital Archive project.
Structured workflow for fact-checking claims in journalism. Use when verifying statements for publication, rating claims for fact-check articles, or building pre-publication verification processes. Includes claim extraction, evidence gathering, rating scales, and correction protocols.
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Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.
Guidelines for generating clinical decision support (CDS) documents: patient cohort analyses (biomarker-stratified outcomes) and treatment recommendation reports (GRADE-graded evidence). Covers document structure, executive summary design, evidence grading (GRADE 1A–2C), statistical reporting (HR, CI, survival), and biomarker integration. Use when creating pharmaceutical research documents, clinical guidelines, or regulatory submissions.
Guide to quantitative Western blot analysis covering band detection, two-step normalization, fold change calculation, statistical aggregation across biological replicates, and publication-ready visualization. Consult when analyzing blot images with multiple conditions and repetitions, choosing normalization strategies, or preparing densitometry figures for publication.
Guide for designing and creating scientific schematics, diagrams, and graphical abstracts. Covers tool selection (BioRender, Inkscape, Affinity Designer, PowerPoint), design principles for biological pathway diagrams, molecular mechanism schematics, experimental workflow diagrams, and graphical abstracts for journal submissions. Includes composition rules, icon sourcing, color usage for biological entities, and accessibility considerations. Use when planning or creating a scientific figure that is primarily illustrative rather than data-driven.
Create effective scientific presentations for conferences, seminars, thesis defenses, and grant pitches. Slide design principles, talk structure, timing, data visualization for slides, quality assurance. Works with PowerPoint and LaTeX Beamer. For poster creation use latex-research-posters.
Infer, analyze, and visualize intercellular communication from scRNA-seq data using CellChat (R). Pipeline: create CellChat object from Seurat or count matrix → subset CellChatDB ligand-receptor database → identify over-expressed genes per cell group → infer communication probabilities → compute pathway-level signaling → analyze network centrality (senders, receivers, influencers) → visualize with chord diagrams, heatmaps, and bubble plots → compare across conditions. Human and mouse supported. Use liana for a pure-Python equivalent.
Self-contained SaaS pipeline — invoke directly, do not decompose.
Runs the session startup procedure - verifies setup, loads config and state, checks skill models, and reports project status. Use at the beginning of a fresh session.
Discover and load skills on demand from /mnt/skills/user/. Use when you need a capability but don't know which skill provides it, when the boot-emitted skill list is names-only and you need a full description, or when you want to list the catalog. Verbs are list (names only), search (rank by name/description match against a query), and show (emit the full SKILL.md for a named skill).
Selective simplification: one pipeline pass at high K → zone-aware contour
Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.
Calculate embodied carbon and lifecycle emissions for construction materials and projects. Support sustainable design decisions with carbon data.
Build n8n pipeline for automated cost estimation from Revit/IFC using DDC CWICR database and LLM classification.
Comprehensive verification system for construction automation deliverables. Use after completing estimates, schedules, reports, or data processing tasks to ensure quality.
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