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hiroshi75
GitHub 제작자 프로필

hiroshi75

5개 GitHub 저장소에서 수집된 37개 skills를 저장소 단위로 보여줍니다.

수집된 skills
37
저장소
5
업데이트
2026-04-05
저장소 탐색

저장소와 대표 skills

hire-agent
인사 전문가

新しいエージェントを雇用(作成・起動)するスキル。ディレクトリ作成、CLAUDE.md生成、スキルコピー、roster更新、tmux起動まで一貫して行う。

2026-03-14
daily-report
소프트웨어 개발자

Generate a daily summary report of all team activities

2026-03-14
dashboard
소프트웨어 개발자

Generate and update the team dashboard report (org/dashboard.md)

2026-03-14
data-context-extractor
데이터베이스 아키텍트

Capture and codify company-specific data knowledge — entity definitions, metric formulas, table schemas, and tribal knowledge. Use when onboarding to a new data environment, documenting institutional data knowledge, or building a data dictionary.

2026-03-13
data-exploration
데이터 과학자

Profile and explore datasets to understand their shape, quality, and patterns before analysis. Use when encountering a new dataset, assessing data quality, discovering column distributions, identifying nulls and outliers, or deciding which dimensions to analyze.

2026-03-13
data-validation
데이터 과학자

QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.

2026-03-13
data-visualization
데이터 과학자

Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.

2026-03-13
interactive-dashboard-builder
웹 개발자

Build self-contained HTML/JavaScript dashboards with Chart.js, featuring interactive filtering and professional styling. Use when creating data dashboards, building interactive reports, or presenting analytical results in a shareable format.

2026-03-13
이 저장소에서 수집된 skills 24개 중 상위 8개를 표시합니다.
plan-parallel-dev
소프트웨어 개발자

Skill for creating parallel development plans with multiple developers. Leverages git worktree for branch strategy, task dependency analysis, critical path calculation, developer role assignment, and timeline creation. Use for requests like "create a parallel development plan", "I want to develop with multiple people simultaneously", "divide work with worktree", or "maximize development parallelization". Also supports on-demand parallel tasks for quick fixes with requests like "fix XX in parallel", "do YY with worktree", or "add parallel task".

2026-01-09
plan-parallel-dev
소프트웨어 개발자

複数開発者での並列開発計画書を作成するスキル。git worktree を活用したブランチ戦略、タスクの依存関係分析、クリティカルパス計算、開発者ロール割り当て、タイムライン作成を行う。「並列開発計画を作って」「複数人で同時開発したい」「worktree で分担したい」「開発を最大限並列化したい」などのリクエスト時に使用。また、「〇〇を並列で修正して」「worktree で△△をやって」「並列タスクを追加」などのリクエストで、オンデマンドの並列タスクを即座に開始できる。

2026-01-09
blog-manager
작가·저자

Use for all blog writing tasks including creating articles (Zenn Japanese, dev.to/Medium English), managing ideas, and setting up blog projects. This is the unified entry point for technical blog writing workflow. Supports idea tracking with status management (backlog/in-progress/done).

2025-12-14
fine-tune
데이터 과학자

Use when you need to fine-tune(ファインチューニング) and optimize LangGraph applications based on evaluation criteria. This skill performs iterative prompt optimization for LangGraph nodes without changing the graph structure.

2025-11-25
arch-analysis
소프트웨어 개발자

Analyze LangGraph application architecture, identify bottlenecks, and propose multiple improvement strategies

2025-11-25
spec-manager
프로젝트 관리 전문가

MANDATORY specification writing skill. ONLY way to create/update specs. Auto-invoke when: - Creating specs: New projects, features ("I want to create XX") - Updating specs: Feature additions, requirement changes, architecture updates - Syncing specs: Major code changes (3+ files), refactoring, session end - Keywords: specifications/spec/design/architecture/requirements/PRD Outputs to .spec-manager/. Critical rules and workflow details in skill body.

2025-11-25
langgraph-master
소프트웨어 개발자

Use when specifying or implementing LangGraph applications - from architecture planning and specification writing to actual code implementation. Also use for designing agent workflows or learning LangGraph patterns. This is a comprehensive guide for building AI agents with LangGraph, covering core concepts, architecture patterns, memory management, tool integration, and advanced features.

2025-11-24
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