Claude Code, Cursor, Windsurf용 agentic platforms orchestration AI Agent Skills 모음입니다. 개발자 워크플로 자동화에 초점을 둡니다.
이 페이지는 일반적인 서버 목록이 아니라 AI 에이전트 플랫폼과 오케스트레이션 도구에 초점을 맞춥니다. 선정된 프로젝트는 팀이 에이전트 스킬을 설계하고, 여러 에이전트를 조율하며, 실제 애플리케이션 환경에서 실행을 관리하도록 돕습니다. 기능 경계를 정의하고, 다단계 플로우를 스케줄링하며, 실행을 모니터링하고, 시스템 확장 시 운영 일관성을 높이는 데 사용할 수 있습니다. 일부 도구는 MCP 호환 어댑터를 제공하지만, 핵심은 플랫폼 수준의 에이전트 개발과 오케스트레이션입니다. 프로토타입 단계에서 프로덕션 운영으로 전환하는 팀에 구조, 제어, 신뢰성을 갖춘 실용적인 선택지를 제공합니다.
Once the install path is clear, move into the solution, CLI, or editorial surface that best matches this collection. That keeps platform, framework, and operations demand narrowing into a more verifiable high-intent journey.
A practical bridge into command behavior, sync rules, and what operators should validate after installation.
CLI documentation proves the site has operational depth beyond discovery wrappers.
A scenario page for users who already know the workflow problem they need to solve.
High-intent solution pages are safer recovery surfaces than broad skill detail expansion.
Write or update documentation for the Inkeep docs site (agents-docs package). Use when: creating new docs, modifying existing docs, introducing features that need documentation, touching MDX files in agents-docs/content/. Triggers on: docs, documentation, MDX, agents-docs, write docs, update docs, add page, new tutorial, API reference, integration guide.
Use when we want to turn a just-finished Formax workflow (e.g. commands, overlays, tools, hooks, permissions, UI parity) into a reusable Codex Skill under .codex/skills, including scaffolding, guardrails, and the minimum test checklist.
Use when preparing a Formax code handoff: selecting files, generating repomix bundles, and writing a high-quality prompt for WebGPT or another coding agent with clear constraints and validation scope.
Use when adding or modifying generator scripts that write files; keeps generated artifacts out of docs/ and aligns script defaults with ownership paths plus CI gate updates.
nanobot-ts is the TypeScript version of nanobot, an ultra-lightweight personal AI assistant framework.
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
Manage git worktrees for parallel AI agent development. Use this when asked to create, list, open, close, or merge worktrees, or when working with wt-* commands.
Guided workflow for diagnosing and fixing harness bugs in deployed instances
Do not reset back to the generic directory. Move sideways through these adjacent high-intent collections to narrow the shortlist toward the install path that best matches your team.
A high-trust collection that lets the site lead with official and strongly verified ecosystems instead of random long-tail repos.
Trusted-brand collections are the fastest way to rebuild authority after pruning.
A workflow-first collection that explains why related skills belong together and what job they solve.
Workflow collections add first-party judgment that generic skill detail pages struggle to communicate.
A platform-specific collection for one of the clearest demand clusters in the product ecosystem.
Platform collections let the site recover with narrower, more trustworthy topical intent.
A clean surface for editor-specific demand with explicit workflow intent.
Editor-specific demand should land on curated surfaces, not random repo coverage.
This collection should not keep users browsing forever. These three questions explain how to shortlist, install, and validate the next step.
워크플로 자동화, 프로세스 자동화, 문서 작업, 데이터 워크플로 및 재사용 가능한 스킬 스택을 중심으로 구성되어 있습니다.
스킬 디렉터리는 직접 검색과 필터링에 적합하고, 컬렉션은 완전한 워크플로를 위한 보완적 스킬 묶음을 찾는 데 적합합니다.
네. 이 컬렉션의 스킬들은 일반적으로 Claude Code, Cursor, Windsurf 및 기타 지원 환경에서 통합 설치 흐름으로 작동합니다.
These are the supporting surfaces for this collection after the install direction is clear and the primary next paths have already narrowed the decision.
A use-case page for users searching for repeatable automation patterns instead of one-off tools.
Workflow automation demand is easier to satisfy with curated intent clusters than with flat directory coverage.
A high-trust collection that lets the site lead with official and strongly verified ecosystems instead of random long-tail repos.
Trusted-brand collections are the fastest way to rebuild authority after pruning.