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概要と使いどころ
Iteratively study and apply elegant coding patterns. Each iteration - understand the code, research what simple and elegant code looks like, apply learnings, verify with CI. Use as a standalone refactoring pass or when the user asks to make code more elegant, simple, or idiomatic.
日本語の概要は準備中です。原文の説明を表示しています。
Audit a codebase against well-known software design principles: SOLID, DRY, YAGNI, KISS, Law of Demeter, Separation of Concerns, Composition over Inheritance, and the code-relevant 12-Factor subset. Scores findings by impact and effort, runs adversarial debate on contested violations, and generates a prioritized DESIGN_AUDIT.md. Use when reviewing code quality beyond what linters catch, assessing design health before a refactor, or onboarding to an unfamiliar codebase. Can be invoked standalone or delegated from tech-debt.
日本語の概要は準備中です。原文の説明を表示しています。
Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option. Use when building Rust applications, solving ownership or borrowing issues, designing trait-based APIs, implementing async/await concurrency, creating FFI bindings, or optimizing for performance and memory safety. Invoke for Rust, Cargo, ownership, borrowing, lifetimes, async Rust, tokio, zero-cost abstractions, memory safety, systems programming.
日本語の概要は準備中です。原文の説明を表示しています。
Systematic technical debt analysis across architecture, testing, documentation, and infrastructure. Investigates the codebase, scores findings by impact and effort, and generates a prioritized TECH_DEBT.md remediation plan. Delegates to specialized skills for code quality (scout) and linting (lint-fix). Use when assessing overall project health, planning cleanup sprints, or onboarding to an unfamiliar codebase.
日本語の概要は準備中です。原文の説明を表示しています。
Sync the yaah marketing website (website/index.html) with the current project state — features, CLI commands, skills, agents, hooks, and installation instructions. Use this skill whenever the user adds, removes, or changes a feature, CLI command, hook, skill, agent, MCP server, or LSP provider AND the website should reflect that change. Also use when the user explicitly asks to update, sync, or refresh the website, or says things like 'update the site', 'keep the website current', 'reflect this on the website', or 'the website is out of date'.
日本語の概要は準備中です。原文の説明を表示しています。
Circuit simulation and pre-fabrication validation. Trigger on: "simulate", "run simulation", "spice", "check stability", "ripple analysis", "phase margin", "power supply simulation", "AC analysis", "transient analysis". Includes automated SPICE simulation via ngspice, RF chain analysis (scikit-rf), power/clock analysis (PyLTSpice), and PCB EM (openEMS FDTD). Run before ordering to validate performance before spending on prototypes.
日本語の概要は準備中です。原文の説明を表示しています。
Circuit simulation workflows — SPICE simulation via ngspice, confidence scoring, RF chain analysis (scikit-rf), power/clock transient and AC analysis. Trigger on: "simulate", "run simulation", "spice", "check stability", "ripple analysis". Load the canonical sim skill from `project-skills/sim/SKILL.md`.
日本語の概要は準備中です。原文の説明を表示しています。
Read and manage the user's QuickBooks business through Intuit's official MCP server, including reports, invoices, customers, products, payment links, sales settings, and industry benchmarks.
日本語の概要は準備中です。原文の説明を表示しています。
Use for any product or shopping question: find, reverse image search, shopping Instagram/Facebook/Marketplace links, buy, compare, or evaluate real products with prices, images, and product page URLs, including buying or browsing Facebook Marketplace listings. Use when presenting shopping search results from any source. For shopping intent, load this skill first before any other skills.
日本語の概要は準備中です。原文の説明を表示しています。
Generate spoken audio from text, single or multi-speaker, including voice notes or messages for chat, audio for artifacts, and audio from cron jobs. For podcasts, briefings, or narrated summaries, use podcast.
日本語の概要は準備中です。原文の説明を表示しています。
Guides AI agents in using Tree Ring Memory for durable recall, project decisions, user preferences, warnings, future seeds, privacy-safe memory capture, and lifecycle-aware forgetting.
日本語の概要は準備中です。原文の説明を表示しています。
Fingerprints unknown binaries using rabin2 — detects architecture (ARM, x86, MIPS), ABI, libc, dependencies, and strings of interest. Use when first encountering an unknown binary, ELF file, or firmware blob, or when you need architecture or ABI information before committing to deeper analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Run a full retrospective and dev cycle analysis. Chains /recall → /new-features to reconstruct what went wrong, extract lessons learned, identify rework patterns, and synthesize feature ideas from the findings. Triggers: retrospective, retro, dev cycle analysis, what went wrong, lessons learned, postmortem, sprint retro.
日本語の概要は準備中です。原文の説明を表示しています。
Deep codebase cleanup — kills dead code, fixes all lint/format warnings, removes orphaned files, cleans stale TODOs, strips security hazards, tightens TypeScript strict mode, and organizes imports. Triggers: clean up, dead code, unused imports, lint, technical debt cleanup.
日本語の概要は準備中です。原文の説明を表示しています。
Audit shipping costs and identify savings across carriers, zones, and modes. Triggers: you need to compare UPS/FedEx/USPS/DHL rates, analyze zone-skip and zone-reduction opportunities.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive 2026 SEO audit covering classic technical SEO (crawl, render, index, Core Web Vitals with INP), on-page (titles, meta, headings, internal linking), content (topical authority, entity density).
日本語の概要は準備中です。原文の説明を表示しています。
Monitor federal grant opportunities across Grants.gov (Simpler.grants.gov is the modern UX), SAM.gov assistance listings (the post-CFDA replacement that preserves CFDA program numbers), and direct agency portals — NIH RePORTER + NIH Guide, NSF Funding, DOE OSTI, USDA NIFA, EPA Grants.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze disability services software — IEP and ISP management, person-centered planning workflows, HCBS Settings Rule compliance, accommodation tracking, assistive technology integration, EVV (Electronic Visit Verification), caregiver and DSP scheduling, and outcome measurement.
日本語の概要は準備中です。原文の説明を表示しています。
Audit curriculum management software for learning outcome alignment, pacing guide optimization, standards coverage mapping (Common Core, NGSS, state standards), differentiation support, assessment design quality, and content gap detection across grade levels and subjects..
日本語の概要は準備中です。原文の説明を表示しています。
Build a candidate sourcing strategy and outreach pipeline. Use when the user says "where do I find candidates for this role", "build a sourcing plan", "write a cold outreach message", "we're not getting enough applicants", "our pipeline is dry", "help me find passive candidates", "write a LinkedIn message", or wants to increase the volume or quality of candidates in the funnel - even if they don't explicitly say "sourcing strategy". Also use when a recruiter needs to go beyond job postings to find talent.
日本語の概要は準備中です。原文の説明を表示しています。
Plan a monthly content calendar across channels using the Content Marketing Matrix (Dave Chaffey, Smart Insights) - Entertain/Inspire/Educate/Convince. Every post gets a quadrant label. The monthly calendar must hit 40% Educate, 40% Inspire+Convince, 20% Entertain. Produces a week-by-week posting schedule with topics, formats, channels, and asset links. Use when the user says "content calendar", "social calendar", "plan next month's content", "what should we post", "content plan", "editorial calendar", "schedule posts for the month", or wants a structured posting plan for LinkedIn, Twitter, email, or blog. Reads brand voice, ICP, and past learnings from knowledge/. For writing the individual posts, see linkedin-post, newsletter-writer or content-writer. For the campaign this sits inside, see campaign-brief. For the end-of-month review, see retro.
日本語の概要は準備中です。原文の説明を表示しています。
Build Opportunity Solution Trees using Teresa Torres' framework for structured product discovery. Use this skill when: - You need to map a desired outcome to opportunities, solutions, and experiments - You want to decide WHAT to build next based on user research and discovery data - You have workshop findings, pilot feedback, or user research to structure into actionable options - You need a visual tree diagram showing the path from outcome to testable experiments
日本語の概要は準備中です。原文の説明を表示しています。
Audit a roadmap or backlog to distinguish outcomes from outputs. Use when the user says "outcome vs output", "escaping the build trap", "are we building the right things", "roadmap review", "feature factory", "output-driven team", "we keep shipping but nothing changes", or wants to shift focus from shipping features to delivering value - even if they don't explicitly say "outcome vs output".
日本語の概要は準備中です。原文の説明を表示しています。
Create and maintain the shared knowledge/ context files that every other marketing skill reads - brand voice, ICP personas, positioning, KPIs, and the learnings log. Run this once per company or client before using any other marketing skill. Use when the user says "set up brand context", "onboard my brand", "set up the marketing knowledge base", "the skills don't know my brand", "update our positioning", "our voice has changed", "add a new persona", or when any marketing skill reports that a knowledge/ file is missing. Also use when output sounds generic or off-brand. For writing a positioning statement as a standalone document, see positioning-doc. For deep persona research from raw sources, see customer-research.
日本語の概要は準備中です。原文の説明を表示しています。