Research

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Extract learnings from completed swarm work for persistent memory storage. Analyzes swarm_record_outcome data to identify corrections, decisions, and insights. Stores findings in Memory Lane for future reference. Use when subtasks complete with notable learnings or when you want to capture what worked/didn't work.

User-specific git workflow preferences and edge case handling. Documents commit message format requirements and pre-commit hook retry logic specific to this user. Use when creating commits or handling pre-commit hook failures.

Use when encountering bugs, test failures, unexpected behavior, errors, or performance problems - dispatches systematic-debugging-agent that enforces 4-phase process (root cause investigation, pattern analysis, hypothesis testing, implementation) to prevent quick-fix attempts and ensure proper debugging

Guide interactive research and POC creation to understand features deeply. This skill should be used when planning to implement a new feature and needing to research design patterns, understand integration points in the codebase, consult documentation via MCP Deep Wiki, or create minimal POCs to validate concepts. Can receive CDC.md from feature-specification as input for clear requirements.

Expert prompt engineering for LLMs and AI agents. Use when users request help writing, reviewing, or improving prompts for chatbots, AI agents, system prompts, instruction sets, or any LLM-based application. Applies research-backed techniques to minimize hallucinations and maximize reliability.

Standards, conventions, and struct tag reference for models

Manim（Mathematical Animation Engine）を使用してアニメーション動画を作成します。このスキルは、(1) 解説動画やビジュアライゼーションの作成、(2) プレゼンテーション動画、(3) ロゴアニメーション、(4) インフォグラフィック、(5) 教育コンテンツ、(6) 3Dアニメーション、(7) アルゴリズムやデータ構造の可視化に使用します。2D/3Dシーン、LaTeX数式、グラフ、TTSナレーション、BGMなどをサポートします。

This skill should be used when the user asks to "debug notebook", "inspect notebook outputs", "find notebook error", "read traceback from ipynb", "why did notebook fail", or needs to understand runtime errors in executed Jupyter notebooks from any source (marimo, jupytext, papermill).

Search the web for up-to-date information using GPT-5.2 with web search and high reasoning. Prefer this over webfetch when you need to research complex queries, find current info across multiple sources, get recent news, up-to-date documentation, or verify facts that may have changed since your training cutoff. Returns cited sources.

Hybrid skill for OpenCode plugin development - behavioral patterns for agents and technical reference for humans

Sophisticated multi-agent AI research system that conducts comprehensive, academic-quality research on complex topics through orchestrated specialist agents. Use for deep research requiring academic, technical, and data-driven perspectives with quality assurance and comprehensive reporting.

Synthesize knowledge from multiple sources into Zettelkasten notes for Logseq. Use when creating wiki pages, integrating academic research, or building interconnected knowledge with [[links]] and

Perform comprehensive OSCAL validation using community-inspired patterns including JSON schema validation, business rule validation, cross-reference checking, and best practices from IBM Trestle, oscal-pydantic, and Lula. Use for thorough document quality assurance.

Guide agents through structured research including planning, multi-query execution, source analysis, and synthesis. Use for comprehensive topic research, deep investigation, or creating research reports. Keywords: research, investigate, deep dive, comprehensive, analysis, synthesis, report.

Hypothesis-driven debugging through observe, hypothesize, test, narrow. Use when something is wrong and you need to find why.

Generates a research-grade Product Requirements Document (PRD) defining problems, goals, scope, constraints, and success criteria. Use when creating or updating a PRD for a product or major initiative.

Analyze local codebase and scrape external documentation on demand

Real-time web search and research with AI-powered result synthesis

Use when user mentions bookmarks, knowledge management, notes, saving URLs, or taking screenshots - provides quick reference for km (Zettelkasten notes), bookmark (URL manager), and shot-scraper (automated website screenshots) CLI tools installed on this system