Deploy local or GitHub projects to Sealos Cloud, connect cloud databases and S3 object storage, generate Dockerfiles and Sealos templates, assess cloud-native readiness, and build Sealos Desktop apps.
Claude plans, delegates, and tastes every plate. Sonnet, Codex, GLM, or Grok does the knife work. A Claude Code plugin for the orchestrator/implementer split: /serve runs the whole line autonomously (implement, cross-review, fix, verify), /fire hands specced implementation to the worker, /taste runs cross-model review.
Manifest-driven development: /figure-out reaches shared understanding, /define writes Deliverables with Acceptance Criteria and Global Invariants, and /do implements them. Each gate is one text — a title, a body, and an optional why — carrying a required kind (judgment or deterministic, never inferred) as its only…
Builds up to a goal in a field you have no expertise in: splits it into the foundations that goal actually needs, mobilizes what you already hold, learns what is missing, and leaves every solved path behind for the next goal. Nothing is called done until a check passes.
Use the Google Antigravity CLI (agy) from inside Claude Code — slash commands /agy:setup, /agy:ask, /agy:delegate, /agy:research, /agy:review, /agy:image, /agy:help. Supports per-call model selection via --model.
Skill-driven planning and execution loop for coding agents: one planr entry point, an autonomous planr-loop, and evidence-backed task graph skills powered by the planr CLI.
Skill synchronization and management for Claude Code, Codex, GitHub Copilot, and Cursor. Provides 36 MCP tools for validation, sync, intelligence, research, and tracing.
Schema-as-code memory engine for Obsidian vaults that AI agents write to: typed cards, entity dedup, link repair, update-in-place (supersede + History), Ebbinghaus decay, MOC generation, and a vault health score. Plain Markdown you own, Python stdlib only. Ships the autograph skill plus a /research slash command that…
Analyze and enforce best practices for AI coding agent projects. Assess codebase readiness across 8 pillars with /readiness, then scaffold enforcement with /setup: TDD, secret scanning, file size limits, auto-generated docs, and git hooks.
A living knowledge base your agents build as they work. What they learn becomes source-cited wiki pages that refresh between sessions, so each new thread starts from your latest work.
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: