「coding」の検索結果

Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API. Use when the user asks about non-coding variant effects, pathogenicity, clinical significance, disease associations, functional effects, gene expression changes, splicing disruption, or regulatory effects in promoters and enhancers. Also use for resolving biological terms to tissue/cell-type ontologies (UBERON/CL) or analyzing variants in chr:pos:ref>alt format.

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。

Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop for weak checks or unsafe authority, execute a loop with an evidence receipt, learn from completed runs, save or reuse a project loop, or validate and submit a loop to Loop Library.

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。

Exercise a running product against acceptance criteria and report evidence. Build success alone does not verify behavior.

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。

Review a proposed change against requirements, regressions, verification evidence, and relevant security risks.

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。

Research an app idea or resolve product and technical uncertainties before committing to a design.

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。

Select the appropriate planning, implementation, or debugging workflow for an app project.

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。

Diagnose and fix a reproducible failure in an existing project. Use for crashes, broken behavior, or failing checks, not greenfield planning.

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。

Write an MVP technical design from agreed requirements, including architecture choices and relevant tradeoffs.

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。

Add one bounded feature to an existing app while preserving current behavior. Do not restart the full new-project workflow.

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。

Implement a new-project slice through the relevant checks and working user journey.

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 project agent instructions and tool configuration from agreed product and technical decisions.

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。

Write or revise an MVP product requirements document with scope and observable acceptance criteria.

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。

Security-focused code review checklist and automated scanning patterns. Use when reviewing pull requests for security issues, auditing authentication/authorization code, checking for OWASP Top 10 vulnerabilities, or validating input sanitization. Covers SQL injection prevention, XSS protection, CSRF tokens, authentication flow review, secrets detection, dependency vulnerability scanning, and secure coding patterns for Python (FastAPI) and React. Does NOT cover deployment security (use docker-best-practices) or incident handling (use incident-response).

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。

Generates AGENTS.md files for repository folders — coding agent context files with build commands, testing instructions, code style, project structure, and boundaries. Only generates where AGENTS.md is missing.

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。

Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues. Supports visibility timeout, message encoding, and batch operations. Triggers: "queue storage", "@azure/storage-queue", "QueueServiceClient", "QueueClient", "send message", "receive message", "dequeue", "visibility timeout".

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。

Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents.

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。

Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing 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。

Detect and quantify translated ORFs from Ribo-seq data including uORFs and novel ORFs using RiboCode and ORFquant. Use when identifying translated regions beyond annotated coding sequences or quantifying ORF-level translation.

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。

Analyzes isoform switching events and functional consequences using IsoformSwitchAnalyzeR. Predicts protein domain changes, NMD sensitivity, ORF alterations, and coding potential shifts between conditions. Use when investigating how splicing changes affect protein function.

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。

Mine Claude Code session logs for skill idea candidates. Use when running the weekly skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.

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。

Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard.

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 manage git worktrees for parallel coding sessions with zero dead time. Use when blocked on tests, builds, wanting to work on multiple branches, context switching, or exploring multiple approaches simultaneously.

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。

Complete AI coding workflow system. Orchestration patterns, 18 hook events, 8 agents, cross-agent support, reference guides, and searchable learnings. Works with Claude Code, Cursor, and 32+ agents.

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。

Reduce token waste by 40-60% through anti-sycophancy rules, tool-call budgets, one-pass coding, task profiles, and read-before-write enforcement. Inspired by drona23/claude-token-efficient.

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。