Plan Critiquer
by Ibrahim-3d · ai-ml · go, aws, api, skill
Harshly critique strategic documents (validation reports, competitive analyses, business plans) to identify blind spots, challenge assumptions, expose weaknesses, and generate Conductor-aligned action plans. Use when you need brutal honesty, "red team" analysis, or want to stress-test your thinking before execution. Applies multiple analytical frameworks (pre-mortem, assumption hunting, competitive gaps, market dynamics) and synthesizes findings into executive summaries with specific, actiona...
Source: https://github.com/Ibrahim-3d/orchestrator-supaconductor
Install
git clone https://github.com/Ibrahim-3d/orchestrator-supaconductorTags: go, aws, api, skill
⭐ 352 GitHub stars · Source: skillsdirectory
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
Plan Critiquer is one of hundreds of ai-ml entries indexed on Skiln. Browse the full ai-ml category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
Related ai-ml MCPs and skills
- FCPXML MCP by DareDev256
MCP server for Final Cut Pro XML. 53 tools for timeline analysis, batch editing, QC, generation, multi-track support, NLE export, templates, and audio via Claude. Requires setting environment variable FCP_PROJECTS_DIR to point to your Final Cut Pro projects directory.
- Futu Stock MCP Server by shuizhengqi1
A Model Context Protocol (MCP) server providing standardized access to Futu OpenAPI for stock market data and trading. Requires a Futu securities account with OpenAPI permissions and the Futu OpenD gateway running. Configure connection parameters via environment variables such as FUTU_HOST and FUTU_PORT.
- mcp-server-macos-use by mediar-ai
MCP server that lets AI agents control any macOS application through accessibility APIs. Requires building with Swift using 'swift build'.
- HAL (HTTP API Layer) by DeanWard
HAL is an MCP server that provides HTTP API capabilities to Large Language Models, allowing them to make HTTP requests and interact with web APIs through a secure, controlled interface. It supports automatic tool generation from OpenAPI/Swagger specifications configured via environment variables HAL_SWAGGER_FILE (path to OpenAPI/Swagger spec) and HAL_API_BASE_URL (base URL for API requests).
- ProtonMail MCP Server by ronamosa
Enables AI agents to send, read, search, and organize emails via ProtonMail using Proton Bridge. Supports MCP-compatible clients like Claude and Cursor.
- MCP Server by imanelmzk
A basic MCP server implementation using Node.js and TypeScript that bridges AI models with external tools and data sources via JSON-RPC.
- Shopify Storefront MCP Server by QuentinCody
Enables AI assistants to query and interact with Shopify store data via the Storefront API, including products, collections, carts, and customer information.
- mcp-server by laurensanp
Enables AI models to interact with local CSV and Parquet data through MCP tools, providing summarization and analysis capabilities.
Frequently asked questions
How do I install Plan Critiquer?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Plan Critiquer?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Plan Critiquer free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.