컬렉션
한 가지 작업을 위해 엄선한 Skill, MCP 서버, CLI, 플러그인 모음입니다. 도구마다 고른 이유를 함께 적었습니다.
Spec, TDD and review for coding agents
For developers and tech leads who want coding agents to work like careful engineers: guardrails first, then interview, spec, test-first build, debug, verify, review. Most run in Claude Code or Codex; the three Anthropic plugins are Claude Code only. Agent review assists; a person approves merges.
리소스 12개
UI design taste for agent-built apps
For designers and frontend devs making agent-built web UI look designed. Most items need a coding agent like Claude Code or Codex, Node.js and web code. Set the system, explore, commit, review, polish, animate, test accessibility. Figma MCP: paid Dev/Full seat. Checks don't replace design review.
리소스 12개
Code-made video: launches and explainers
For founders, marketers, developer advocates and teachers: Claude Code or Codex on your computer scripts, voices, builds, captions and publishes the video. ElevenLabs, HeyGen and Postiz cloud have paid plans; for-profit firms over 3 people need a Remotion license. Label AI voices and avatars.
리소스 15개
Office documents: Word, Excel, slides
For office staff, analysts, consultants: read files and scans, build the sheet, write the report, make the deck, handle PDFs, share. Anthropic's docx, xlsx, pptx and pdf skills power Claude's file features; others need Python or Node. Check every number; keep confidential files in approved tools.
리소스 15개
Product discovery, specs and delivery
For PMs and founders, in order: research, market scans, competitors, priorities, spec, prototype, tickets, analytics, re-planning, updates. Most install from a terminal into Claude Code or Codex. Lovable, Linear, Jira, PostHog need accounts. Keep customer data in approved tools; you set priorities.
리소스 15개
SEO and AI search visibility
For in-house marketers, content leads and solo founders: connect Search Console, audit, check AI crawlers and citations, research keywords, refresh posts, edit. Most run in Claude Code. Search-volume data costs money; AI-citation tracking is immature. Improve your pages; don't mass-produce.
리소스 13개
Contract review and NDA triage
In-house counsel and legal ops: triage NDAs, review clauses and DPAs, score risk, redline in Word, sign. US-law defaults. Plugins need Claude Cowork or Code; others also run in Codex. Use an employer-approved plan for client data; counterparty files can hide prompt injections. A lawyer reviews all.
리소스 12개
Month-end close and reconciliation
Controllers, accountants, FP&A: plan the close, pull GL and bank data, draft accruals and JEs, reconcile, build statements, explain variances, QA the workbook. Skills run in Claude Code or Codex. Let agents draft, not post; a qualified accountant reviews. Assumes US GAAP/SOX. Use approved AI only.
리소스 14개
K-12 lesson planning and classroom tools
For US K-12 teachers and instructional coaches: unpack standards, plan, differentiate, write math checks, make slides, prep, post to Google Classroom or Canvas. K-12 skills use US standards and come with Claude for Teachers. De-identify student data, follow district AI policy, review before class.
리소스 11개
Literature review to journal submission
For grad students and postdocs in any field: search, screen and read, draft, fit a journal, check claims, tidy references, review and revise. Some steps need keys or sign-ins. Tools assist; you verify every citation and claim, follow the journal's AI policy and keep unpublished data private.
리소스 15개
Building agents: from model API to evals
For engineers new to agent work, in build order: model API, first agent, tools over MCP (the open protocol for agent tools), data, context and memory, a framework, evals, tracing, sandboxing. Skills run in Claude Code or Codex, plugins in Claude Code. Your agents need a model API key, usually paid.
리소스 13개
Investment research: filings and models
For analysts, finance students and investors: get market and macro data, read SEC filings and transcripts, build and check comps and DCF models, test ideas with quant tools. Some need paid plans or keys; keep non-public data out of hosted tools. Research aid, not investment advice; check figures.
리소스 13개
Applied economics with coding agents
For economics PhD students, applied microeconomists and policy analysts: set up a project, get FRED and SEC data, run Stata, R or Python, draft and revise. Agents assist; check every merge, estimate and sentence. Local tools still send what the agent reads to the AI provider: check data agreements.
리소스 14개
Bioinformatics for bench biologists
For wet-lab biologists moving to computational work: look up genes, find public data, run sequencing pipelines, then single-cell, stats and figures. Works in Claude Code and Codex unless noted; most need local Python. Keep patient data off untrusted services; have a bioinformatician review results.
리소스 12개