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By mistakeknot
288 FLUX cognitive lenses for structured thinking — MCP server with lens search, thinking mode workflows, belief statement generation, quality evaluation, and solution synthesis.
npx claudepluginhub mistakeknot/interagency-marketplace --plugin interlensMost people think about problems with whatever framework happens to be in their head. interlens gives you 288 named alternatives, connected as a graph.
A "lens" is a thinking pattern extracted from the FLUX Review: "second-order effects," "pace layers," "Chesterton's fence," "explore/exploit tradeoff." Each lens has a description, framing questions, and connections to related lenses, forming a graph of 288 nodes across epistemology, systems thinking, decision-making, and creativity.
interlens makes this graph queryable. Search by keyword or concept, traverse relationships, find thinking paths between distant ideas, detect gaps in your reasoning, or get a random provocation when you're stuck. The MCP server and CLI put all of this inside Claude Code; the web explorer lets you browse visually.
Anyone using Claude Code for strategic thinking, architecture decisions, or problem analysis. The lenses are most useful during brainstorming, PRD writing, and design review: moments where structured thinking patterns prevent blind spots.
pnpm -r install
pnpm dev:mcp
pnpm dev:web
cd apps/api
pip install -r requirements.txt
python lens_search_api.py
packages/mcp/ MCP server + CLI (npm: interlens-mcp)
apps/api/ Flask API (search, graph traversal)
apps/web/ React frontend (interlens.com)
apps/webapps/apipackages/mcpMIT
A deterministic thinking partner that challenges assumptions and applies 150+ mental models to sharpen decisions, solve problems, and think more clearly. Features orientation detection, cognitive operations framework, and structured diagnostic workflows.
Admin access level
Server config contains admin-level keywords
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
39 Mental Models and Frameworks for Critical Thinking in Claude Code
Structured thinking methods that counteract LLM reasoning biases during problem exploration — first principles, inversion, constraint manipulation, perspective forcing, analogy search, and more, with user-gated parallel subagent exploration for deep dives
A structured toolkit of thinking skills for Claude Code — covering logic, ethics, creativity, decision-making, systems thinking, communication, and more. Each skill is an invokable command that applies a specific reasoning framework to any situation.
Structured thinking methods as multi-agent sessions — Six Thinking Hats, Adversarial Debate, Disney Method, Pre-Mortem, Polarity Management, TRIZ, W³, Troika Consulting, Wise Crowds, First Principles Decomposition, Analogical Transfer, Morphological Box, Futures Cone — plus meta-cognitive modules (Bias Check, Frame Check, Method Check) that reflect on the thinking itself
Browser automation and end-to-end testing MCP server by Microsoft. Enables Claude to interact with web pages, take screenshots, fill forms, click elements, and perform automated browser testing workflows.
[DEPRECATED — use intervoice] Analyze your writing style and adapt Claude's output to sound like you. Replaced by intervoice, which reads one global multi-register profile instead of per-project glob-routed files.
Recursive AGENTS.md generator with integrated Oracle critique, CLAUDE.md harmonization, incremental updates, diff previews, and smart monorepo scoping. Cross-AI compatible.
Self-improving agent rig: codifies product and engineering discipline into composable workflows from brainstorm to ship. Compounds knowledge, generates domain agents, monitors its own docs, and surfaces conservative update drift. Orchestrates Claude, Codex, and Oracle through 6 agents, 52 commands, 19 skills, 0 MCP servers. Factory substrate: CXDB turn DAG, scenario bank with satisfaction scoring, evidence pipeline, agent capability policies. Companions: interspect, interphase, interline, interflux, interpath, interwatch, interslack, interform, intercraft, interdev, interpeer, intertest.
Token-efficient code reconnaissance for LLMs. Autonomous skills save 48-85% tokens via diff-context, semantic search, structural patterns, and symbol analysis. Includes MCP server for direct tool integration.
Token efficiency benchmarking, session analytics, and API-equivalent cost analysis for agent workflows
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