GC AI
claudeWork in your GC AI legal knowledge base from Claude: upload documents, run review playbooks, and ask questions grounded in your own files, all as you.
3 skills · 1 agent · 1 MCP server
Turkish legislation with verifiable citations, from the Ministry of Justice's official legislation service (Bedesten API behind mevzuat.gov.tr): search laws and other legislation, the table of contents and the content of an act, with resolvable identifiers. Every answer carries the official source, so a citation can be checked instead of trusted. Queries go only to the Ministry of Justice; nothing goes to MateMatic.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin tr-eli-mcp in matematicsolutions/tr-eli-mcp. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
tr-eli-mcpruns: uvx tr-eli-mcp==0.3.4
Problems found in this repo's manifests
Work in your GC AI legal knowledge base from Claude: upload documents, run review playbooks, and ask questions grounded in your own files, all as you.
3 skills · 1 agent · 1 MCP server
HR policy documentation, legal compliance templates (GDPR/SOC2/HIPAA), employment contracts, and regulatory documentation
2 skills · 2 agents
Ready-to-run workflows for financial advisors in Claude Cowork, drawing live data from the tools their firm already uses through third-party connectors. The plugin holds no client data, and the advisor approves any write back to an external system. Claude gathers, organizes, summarizes, compares and presents information, while the advisor exercises judgment, makes the recommendation and gives the advice. For financial professional use only; not investment, legal, or tax advice.
8 skills · 6 agents · 36 MCP servers
Turn any domain folder of skills into a bounded agentic loop: a manifest builder inventories a domain's skills/tools/checks, a goal compiler turns a goal into a verifiable task plan (refusing vague goals with forcing questions), and a JSON-backed loop controller drives execute->verify->close with retry caps, controller-run verification (no verification theater), human escalation on exhausted budgets, and a close gate that refuses while any task is unverified or unwaived. Ships 3 stdlib Python tools, 18 committed per-domain harness manifests + JSON schema, 3 references citing the 2024-2026 agent-harness canon (Anthropic long-running harnesses, verifier's law, SWE-agent, Ralph loop, Cognition), harness-runner agent + /cs-harness command. Use when an agent or subagent should pick up a goal, define its tasks, complete and verify them, and close the loop.
1 skill · 1 command · 1 agent
PM utility skills: resume review, NDA drafting, privacy policy generation, and grammar/flow checking. Essential tools for product managers beyond core product work.
4 skills · 5 commands
Product, legal, and business specialists - product strategy, licensing, project management, UX research
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