Download skill content from Notion and create it locally in `03-skills/`.

Quality control of phasing and imputation results. Filter by INFO scores, assess accuracy, and prepare imputed data for downstream analysis. Use when filtering low-quality imputed variants or validating imputation accuracy before GWAS.

Manage Gmail inbox with AI-powered triage, cleanup, and restore. Use when the user mentions inbox, email triage, clean inbox, email cleanup, check email, email summary, delete emails, manage inbox, or wants to organize their email.

Workflow for processing large Things3 inboxes (100+ items) using LLM-driven confidence matching and intelligent automation. Integrates with personal taxonomy and MCP tools for efficient cleanup with self-improving pattern learning.

incident-handling

Build resilient data ingestion pipelines from APIs. Use when creating scripts that fetch paginated data from external APIs (Twitter, exchanges, any REST API) and need to track progress, avoid duplicates, handle rate limits, and support both incremental updates and historical backfills. Triggers: 'ingest data from API', 'pull tweets', 'fetch historical data', 'sync from X', 'build a data pipeline', 'fetch without re-downloading', 'resume the download', 'backfill older data'. NOT for: simple one-shot API calls, websocket/streaming connections, file downloads, or APIs without pagination.

Use when working with inductor components - adding inductor patterns, parsing inductor MPNs, extracting inductance values, current ratings, or package codes from inductor part numbers.

Infrastructure, DevOps, and platform reliability

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Data ingestion patterns for loading data from cloud storage, APIs, files, and streaming sources into databases. Use when importing CSV/JSON/Parquet files, pulling from S3/GCS buckets, consuming API feeds, or building ETL pipelines.

Unified atomic ingestion of CFN dependency manifests (trigger-dev, cli-mode, shared)

Create or update CLAUDE.md file for this project. Use when initializing a project for Claude Code, or when project structure/architecture has significantly changed.

Use when starting a new session without feature-list.json, setting up project structure, or breaking down requirements into atomic features. Load in INIT state. Detects project type (Python/Node/Django/FastAPI), creates feature-list.json with priorities, initializes .claude/progress/ tracking.

Achieve and maintain low input latency by engineering event-to-render pipelines.

Design, standardize, and implement ECharts-based visualizations and themes for InsightPulseAI dashboards, Superset plugins, and OpEx UI (AntD + M3 + ECharts).

Use Superset-style APIs to manage workspaces, users, datasets, charts, and dashboards as code for the InsightPulseAI Data Lab platform.

Design and configure embedded Superset dashboards for internal tools and customer apps with theming, RLS, SSO, and scalable UX.

Instagram Graph API entegrasyonu. Use when publishing content, fetching insights, or working with Instagram media.

You are an expert in the Instagram US Reels search pipeline for this influencer discovery platform. This skill provides comprehensive knowledge about search providers, rate limits, normalization logic

Instagram Graph API integration via curl. Use this skill to fetch and publish Instagram media.

This skill installs an interactive learning graph viewer application into an intelligent textbook project. Use this skill when working with a textbook that has a learning-graph.json file and needs a visual, interactive graph exploration tool with search, filtering, and statistics capabilities.

Instantly.ai cold email outreach API - manage campaigns, leads, accounts, and analytics. Use for cold email automation, lead management, campaign creation/monitoring, and email account warmup.

Structured outputs with Instructor. Extract typed data from LLMs using Pydantic models and validation. Use for data extraction, structured generation, and type-safe LLM responses.

Use when defining events, fields, and governance for GTM analytics pipelines.

This skill should be used when integrating OpenAI Agents SDK with FastAPI, building message arrays from database history, running agents with MCP tools, parsing tool calls, executing them, and saving conversations to the database.

Integrate real-world street networks into VRP problems using OpenStreetMap data. Use when loading real map data, creating instances from actual locations, computing network-based distances, or building tutorials with real-world scenarios. Guides through installation, loading areas, extracting nodes, computing distance matrices, and creating PDPTW instances from map data.

Integrate changes and verify system-wide compatibility

Unified Plurigrid ASI skill combining ACSets, Gay-MCP colors, bisimulation games, world-hopping, glass-bead synthesis, and triad interleaving for autonomous skill dispersal.

Design and implement robust integration patterns for connecting services, databases, and external systems. This skill encompasses RESTful and GraphQL API design, database connection management, event-

Creates intuitive user experiences through feedback patterns, microinteractions, and accessible interaction design. Use when designing loading states, error handling UX, animation guidelines, or touch interactions.

Lafont's interaction nets for optimal parallel λ-reduction. Graph rewriting

Build multi-level interactive CLI menus for bash scripts

Interactive states for UI elements - hover, active, focus, disabled, loading. Use when implementing button states, form field states, or interactive feedback.

Create interactive HTML plots with plotly and bokeh for exploratory data analysis and web-based sharing of omics visualizations. Use when building zoomable, hoverable plots for data exploration or web dashboards.

Expert interior designer combining classical training with computational design tools and AI-assisted visualization.

Transform raw or transcript-like text into a polished Markdown document for internal sharing. Use when the user provides a text file (any mix of zh_tw, zh_cn, or en) and wants sentence repair, structured headings, concise paragraphs, a 3–7 bullet summary, and an Action Items section when tasks are mentioned.

The "Keeper of the Flame" strategy is a high-agency approach to internal product development. It requires maintaining optimism "bordering on delusion" to transform a fragile idea into a company-wide p

AI-led stakeholder interviews using LLMREI research-backed patterns. Conducts structured interviews to elicit requirements through context-adaptive questioning, active listening, and systematic requirement extraction.

Auto-update synthesis documents after interview analysis. Use after video-transcript-analyzer creates a new interview analysis file.

Writes an engaging introductory paragraph or section for a book or chapter based on a provided topic or outline.

Organize and manage invoices with OCR extraction, categorization, and expense tracking

Organize, categorize, track, and manage invoices systematically with automated extraction of invoice data, payment tracking, and financial organization. Use when processing invoice uploads, extracting invoice details (date, amount, vendor), categorizing expenses, tracking payment status, organizing receipts, generating financial reports, or building accounting and bookkeeping systems.

Use when designing iOS interfaces, implementing accessibility (VoiceOver, Dynamic Type), handling dark mode, ensuring adequate touch targets, providing animation/haptic feedback, or requesting user permissions. Apple Human Interface Guidelines for iOS compliance.

Apply iOS/SwiftUI design principles following Apple Human Interface Guidelines when building any iOS UI component. Only execute this when the current project is an iOS project and involves UI-related work. Use this skill for SwiftUI views, UIKit components, or iOS app development. Ensures HIG compliance with Clarity, Deference, and Depth principles, system colors with Dark Mode support, 8pt grid spacing, SF Pro typography with Dynamic Type, and native iOS interaction patterns. Prevents common anti-patterns like fixed text sizes, Dark Mode neglect, and Safe Area violations.

Analyzes iron condor credit spreads with OTM put and call spreads for range-bound trading. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting sideways price action, want to collect premium in high IV, analyzing range-bound opportunities, or implementing neutral income strategies on stocks with defined trading ranges.

**Version:** 1.0.0