38,360 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Automatically selects one of five Claude Code effort levels while preserving claude.ai subscription billing. Learn more at https://www.promptrail.ai/plugins.
★not rated 6 1mo agoA
tokens not measured
originalMIT
Multi-agent orchestration system for software development with human-in-the-loop checkpoints. Implements the QRSPI pipeline: Questions, Research, Structure/Design, Plan, Implement + Review, Pull Request.
★not rated 6 16d agoA
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originalMIT
Audits whether an agent actually did what it was asked. Catches the false 'Done' on Stop: missed subtasks, stubbed/no-op work, false 'tests pass', a method silently dropped in a refactor (dangling reference), and — uniquely — a standing project rule that was in context and overridden anyway. Runs on Stop, pre-commit…
★not rated 6 1mo agoA
tokens not measured
originalMIT
Your agent's memory, in a repo you own: the tome CLI, skills (capture, query, ingest, retrospect, write-a-plan, pickup-task), a SessionStart hook that points every session at the vault, a scoped Stop sync reminder, a no-build browse frontend (tome serve), and tome init to scaffold a fresh vault.
★not rated 6 1mo agoA
tokens not measured
originalMIT
Use when: creating, refactoring, auditing, upgrading, or debugging Copilot custom agents, skills, instructions, prompts, or hooks for Apple platform software engineering and agile delivery workflows.
A spec-driven development pipeline for AI coding agents — PRD → Plan → Tasks → Agents → Implement, with per-slice review gates, ADR management, and cost capture.
★not rated 6 2mo agoA
tokens not measured
originalMIT
Dynamically match reasoning effort to task complexity: five tiny skills (low/medium/high/xhigh/max) whose descriptions classify each task, so Claude self-selects the right effort level without setting /effort manually.
A programming language for agentic finance - structured, reviewable spells that compile to deterministic execution with explicit AI judgment boundaries.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch for Claude Code or Cursor, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for…
Model Context Protocol server for Cursor Cloud Agents API - programmatically create, manage, and interact with AI-powered coding agents through MCP stdio transport. Integrate automated code generation, repository management, and agent workflows into your. Runs locally from the @willpowell8/cursor-cloud-agent-mcp npm…
The full doc is 430 lines, but you only need to paste this section (70 lines) into an agent's system prompt for 95% of requests to route correctly. Everything below it is edge-case reference for the routing layer's authors.
SHELET-compliant cognitive prosthetic for AI agents — 25 stratified MCP skills with structural citation discipline. Runs locally from the brain-mcp Python package.
★not rated 6 4mo agoA
tokens not measured
originalMIT
MCP server providing a reflection tool for AI assistants to create cognitive checkpoints and structured reasoning. Runs locally from the mcp-reflection-tool npm package.
★not rated 6 1y agoA
tokens not measured
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: