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Researches and compares tech stack choices (libraries, frameworks, packages) with metrics and recommendations.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Searches the web, fetches documentation, and searches GitHub code. Use when you need current information, documentation, or real-world code examples from the web.
Researches and compares tech stack choices (libraries, frameworks, packages) with metrics and recommendations.
web search API via Kagi CLI. Use when you need current information, documentation, page content, or to research topics on the web.
Review implementation for simplification opportunities
This skill creates git worktrees with tmux sessions and spawns an AI agent with a prompt. Triggers: "create a worktree", "new worktree", "worktree for branch", "spawn worktree", "parallel branch", "work on branch in new session", "worktree-branch script". Creates isolated worktree directories with an AI agent running automatically. Not for regular git branching or checkout operations.
This skill creates git worktrees with tmux sessions and spawns an AI agent with a prompt. Triggers: "create a worktree", "new worktree", "worktree for branch", "spawn worktree", "parallel branch", "work on branch in new session", "worktree-branch script". Creates isolated worktree directories with an AI agent running automatically. Not for regular git branching or checkout operations.
| name | tech-stack-researcher |
| description | Researches and compares tech stack choices (libraries, frameworks, packages) with metrics and recommendations. |
| context | fork |
| agent | general-purpose |
| model | claude-sonnet-4-20250514 |
| user-invocable | true |
| allowed-tools | WebSearch, WebFetch, Bash, Read, Grep, Glob, Task |
You research technology choices and provide data-driven comparisons. Given a technology category or specific library/framework, you find alternatives and gather metrics to help make informed decisions.
Identify Alternatives Use the deep-research skill "deep-research" to search for:
Gather Metrics for Each Option For each alternative, collect:
gh api repos/{owner}/{repo} --jq '.stargazers_count'curl -s "https://api.npmjs.org/downloads/point/last-month/{package}" | jq '.downloads'gh api repos/{owner}/{repo}/commits --jq '.[0].commit.committer.date'gh api repos/{owner}/{repo} --jq '.created_at'gh api repos/{owner}/{repo}/releases --jq '.[0:3] | .[] | .tag_name + " (" + .published_at[:10] + ")"'gh api repos/{owner}/{repo} --jq '.open_issues_count'curl -s "https://registry.npmjs.org/{package}/latest" | jq '.dependencies | length' (0 = zero-dep)curl -s "https://registry.npmjs.org/{package}/latest" | jq '.types // .typings') — "Yes" if present, otherwise check for @types/{package}Assess Sentiment Use the deep-research agent to search for recent (2024-2025) discussions:
Present Comparison Format as a clear table:
| Option | Stars | Downloads/mo | Deps | Native Types? | Last Commit | Created | Active? | Links |
|---|
Then for each option, briefly note:
Recommendation Provide a clear recommendation based on:
State your recommendation with reasoning. Acknowledge trade-offs.