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.
Use when designing or reviewing AI agents that must assess their own output quality — covers confidence scoring and calibration, chain-of-thought reflection, LLM-as-judge, hallucination self-detection, output quality verification, eval-driven development, and self-evaluation anti-patterns with examples in TypeScript…
Multi-server MCP proxy with AI context provenance tracking and quality feedback loop. Enables self-aware, self-improving AI through automatic lineage tracking.
★not rated 6▲
+1 10mo agoA
tokens not measured
originalMIT
An automatic selector that chooses the most suitable item from a list of tasks based on the user's original request. It limits how many items it returns to a fixed fraction of the available choices.
Use when developing cmux-home, explaining its cmux event-driven Rust TUI, or adapting it into a custom cmux launcher for parallel agent workflows across worktrees, multiple checkouts, SSH hosts, VMs, browsers, or review dashboards.
Validate a Loooom/Agent Skills SKILL.md against the official Anthropic spec using skills-ref. Checks frontmatter structure, required fields, naming rules, and directory conventions. Use when building or publishing a new skill.
A platform-neutral director/implementer operating protocol for AI coding agents. One high-capability director plans, decomposes, delegates, and reviews; implementer subagents write the actual code. Includes a defined escalation path (Rescue Agent promotion, then takeover) instead of leaving stuck implementers to…
★not rated 6▲
+1 1mo agoA
tokens not measured
originalMIT
Create, test, and optimize Grok skills. Use when creating a skill from scratch, editing one, testing if a skill works, optimizing skill triggering, benchmarking performance, or packaging a .skill file. Triggers: "create skill", "new skill", "edit skill", "test skill", "skill not triggering", "optimize description"…
The skill system follows a skill-registry pattern with a chain-of-thought router. Skills are declarative descriptors (metadata + I/O schemas + optional handler) registered in a single registry. The router scores skills against an intent, emits a rationale, and returns an ordered dispatch plan. The orchestrator…
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Dispatch Chain — template for building chain skills that invoke other skills in a named order via Dispatch. Runs without stopping mid-sequence. Customize the ordered list and handoff rules for your chain; leave the never-stop contract as-is. Includes build-time local-file discovery and preflight skill mapping.
An orchestrator for composing and evolving multiple Agent Skills. Use when users ask to mix, combine, stitch, or assemble Skills, or describe a new Skill that needs several capabilities. Discover candidates from public GitHub Skills, inspect interfaces, licenses, and security boundaries, generate multiple…
Use when someone wants to ship one set of agent skills/plugins to multiple AI apps (Claude Code, Cursor, Antigravity CLI, GitHub Copilot, OpenAI Codex CLI) from a single source, and needs to create or update a pluginpack.config.ts — choosing targets, source layout, MCP servers, and output directories.
Meet your new sous chef, Jeff: a model-native quality control plane and cooperative workflow protocol for trusted operators and friendly agents, not a security sandbox.
Use when named delegation is a genuine option for current work, when preparing or reviewing a handoff, or when continuing delegated work to a verified outcome. It supplies context recovery, deliberate skill selection, necessary-only delegation, evidence requirements, and continuation discipline. Do not use for…
briefbound-skills. Chinese-first Codex skill pack for intent alignment, dynamic routing, lightweight development, code review, UI design, and AI research workflows.
★not rated 6
changed todayA
tokens not measured
originalMIT
A review and cleanup method for instructions stored in files such as CLAUDE.md, AGENTS.md, skills, context, and memory.
★not rated 6 21d agoA188 tokens
originalMIT
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: