发现 Skills

Create SEO-optimized blog posts that engage readers and rank in search results

OpenAI Codex CLI wrapper — three modes. Code review: independent diff review via codex review with pass/fail gate. Challenge: adversarial mode that tries to break your code. Consult: ask codex anything with session continuity for follow-ups. The "200 IQ autistic developer" second opinion. Use when asked to "codex review", "codex challenge", "ask codex", "second opinion", or "consult codex".

これはプロジェクト固有のスキルの例です。自分のプロジェクトのテンプレートとして使用してください。

AI governance audit using ISO 42001 standard. Ensures AI systems are developed and deployed responsibly with risk management, ethics, security, transparency, and compliance best practices.

Use when a release needs launch framing, sequencing, channel choices, and rollout logic across product, growth, and support.

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides a comprehensive security checklist and patterns.

Zod 4 schema validation patterns. Trigger: When using Zod for validation - breaking changes from v3.

This skill should be used when the user asks about "AIP rules", "API Improvement Proposals", "Google API guidelines", "AIP-158", "AIP-193", or any specific AIP number. Also use when user asks "how should I implement pagination", "what's the right error format", "how do I design a REST API following Google's standards", or needs guidance on errors, pagination, filtering, field masks, long-running operations, or batch operations in REST/OpenAPI APIs.

Composite 10-day Manhattan weather report that scrapes the Google Weather card, calls OpenWeather, WeatherAPI, and optionally Visual Crossing, then writes a single markdown summary. Use when you need a multi-source picture of Manhattan/NYC weather and want the report generated automatically on a schedule (every 6h, cron, or a runner job).

Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration

Generate a complete MCP server project in TypeScript with tools, resources, and proper configuration

Proactive content moderation guard for all incoming messages

Interview user in-depth about an epic, task, or spec file to extract complete implementation details. Use when user wants to flesh out a spec, refine requirements, or clarify a feature before building. Triggers on /flow-next:interview with Flow IDs (fn-1, fn-1.2) or file paths.

Comprehensive codebase assessment for agent and production readiness. Scans 8 pillars (48 criteria), verifies commands work, checks GitHub settings. Reports everything, fixes agent readiness only. Triggers on /flow-next:prime.

A toolkit for interacting with and testing local web applications using Playwright. It supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k tokens) processing. Ideal for comprehensive analysis that requires very large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.

Validates OpenCode configuration files for correctness and best practices

Read event data from a Google Sheets spreadsheet and create Google Calendar entries for each row.

Delegate testing, QA, and code review tasks to the Opencode CLI using the Kimi K2.5 model via a Markdown file handoff. Write a test request into TASK.md; Opencode running Kimi K2.5 generates tests and reviews, and outputs results to OUTPUT.md. Use this for test generation, QA verification, edge-case detection, code coverage analysis, and security reviews. Triggers: kimi, kimi k2.5, kimi cli, opencode kimi, test generation, QA, quality assurance, code review, unit tests, integration tests, edge cases, test coverage, testing, kimisubagent, togetherai kimi, opencode/kimi-k2.5-free, togetherai/moonshotai/Kimi-K2.5 Prerequisites: Opencode CLI installed; Together.ai API key if using the togetherai provider. Models: opencode/kimi-k2.5-free (recommended), togetherai/moonshotai/Kimi-K2.5 (alternative).

Extract HEC-RAS hydraulic results from HDF files including water surface elevations (WSE), depths, velocities, and flows for both steady and unsteady simulations. Handles cross section time series, 2D mesh results, maximum envelopes, and dam breach results. Use when you need to extract, analyze, or post-process HEC-RAS simulation outputs, retrieve water levels, query velocity fields, get depth grids, extract flow data, analyze breach hydrographs, or pull hydraulic variables from .hdf result files.

ChIP-seq quality control metrics including FRiP (Fraction of Reads in Peaks), cross-correlation analysis (NSC/RSC), library complexity, and IDR (Irreproducibility Discovery Rate) for replicate concordance. Use to assess experiment quality before downstream analysis. Use when assessing ChIP-seq data quality metrics.

Differential abundance testing for microbiome data using compositionally-aware methods like ALDEx2, ANCOM-BC2, and MaAsLin2. Use when identifying taxa that differ between experimental groups while accounting for the compositional nature of microbiome data.

Differential abundance and state analysis for cytometry data. Compare cell populations between conditions using statistical methods. Use when testing for significant changes in cell frequencies or marker expression between groups.