AI-Pivot
Official@ai-pivot
Offers lifecycle management, registry services, and configuration frameworks for MCP-connected environments and distributed development ecosystems.
Agent Skills by AI-Pivot
Showing 15 vetted skills indexed across 1 GitHub repositories.
ai-pivotmod-tools
Provides unified registry and lifecycle management for MCP-connected tools.
ai-pivotself-introduce
Introduce xbot capabilities and tool usage to new users via Markdown guide.
ai-pivotfeishu-mcp
Access Feishu Wiki and Bitable data via MCP tools with OAuth.
ai-pivotbrainstorm
Facilitate interactive solution design through debate-style sub-agent critique.
ai-pivotagent-creator
Create a SubAgent role definition with YAML frontmatter and Markdown instructions.
ai-pivotskill-creator
Create, update, or delete xbot skills with SKILL.md structure.
ai-pivotgithub
Manage GitHub pull requests, issues, and CI runs via the gh CLI.
ai-pivotTUI Debug Skill — Scenario-Driven TUI Simulator
Simulate scenario-driven TUI event flows to validate agent interface behavior.
ai-pivotai-config
Configure xbot TUI themes, layouts, and LLM subscriptions via guided commands.
ai-pivotpost-dev
Update AGENTS.md and docs/agent/ files after code changes.
ai-pivotplan
Generate an actionable implementation plan with file mappings and risks.
ai-pivotworktree
Create isolated git worktrees for parallel agent workflows and coordinated merges.
ai-pivotplugin-creator
Create and manage xbot plugins with plugin.json manifests and bash entry scripts.
ai-pivothook-creator
Create and manage xbot lifecycle hooks with YAML configuration.
ai-pivotdebug
Converts bug reports into verified fixes with reproducible tests.
Frequently Asked Questions About AI-Pivot
FAQPage SchemaWhat specific tasks are enabled by AI-Pivot?▼
AI-Pivot enables unified registry management, lifecycle hook configuration, and the creation of structured skill manifests. It facilitates direct interaction with Feishu data, GitHub repository management, and the generation of implementation plans with file mappings, ensuring consistent documentation updates through standardized markdown structures.
Which personas benefit from these capabilities?▼
System architects, platform engineers, and developers managing complex MCP-connected environments benefit from these capabilities. It is designed for technical teams requiring rigorous lifecycle control, isolated development environments, and standardized configuration management for distributed components and interface definitions.
What are the prerequisites for implementing these skills?▼
Implementation requires a functional environment supporting MCP-connected components and standard Git version control. Users must manage YAML-based configuration files and adhere to the specified SKILL.md and plugin.json manifest structures to ensure compatibility with the registry and lifecycle management functions.