Agent skills for Zed

Design and calibrate a multi-Case capability Benchmark and establish a traceable Formal Baseline.

Automate Benchmark Email tasks via Rube MCP (Composio).

Use after competitive-platform-analysis has produced a tiered competitor set.

Find, inspect, and check AI benchmark records with the Benchmark Radar CLI.

Track and visualize benefit realization against targets

Guide users through a structured workflow for co-authoring documentation.

Modular grid layout with card-like blocks, clear hierarchy, soft spacing, and subtle visual contrast for organized, scannable interfaces.

BentoML skill for model packaging, serving, and containerization.

Automate Benzinga tasks via Rube MCP (Composio).

Develops BepInEx plugins with hooks, patches, and mod initialization for Unity games.

Build, verify and evaluate evidence-backed protocol-agent releases: pin a document corpus by digest, prove citations as exact bytes, bind…

Use this skill when the user wants to create a new agent skill.

View and manage your personal best practices library with success/failure patterns.

Automate Bestbuy tasks via Rube MCP (Composio).

When to activate: beta testing, beta program, beta users, closed beta, open beta, beta feedback, early access, beta-to-GA, launch…

This skill provides reusable implementation patterns extracted from the better-chatbot project for custom AI chatbot deployments.

Automate Better Proposals tasks via Rube MCP (Composio).

Write employee recognition specific enough that it could only be about one person.

Diagnose and strengthen a piece of writing at the level of narrative structure, not just prose.

Advanced Bevy ECS: complex queries, system scheduling, change detection, and performance tuning.

BFL FLUX API integration guide covering endpoints, async polling patterns, rate limiting, error handling, webhooks, and regional endpoints…