Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
wattdata/plugin Find out what audience signals exist for an idea about people. Describe who you're trying to reach in plain English and see what's out there — which signals Watt has, how big and how fresh each one is, and what related angles are worth a look. A guided, one-question-at-a-time walk, so you get the lay of the land before building anything from it. Start here to size up an idea or get your bearings — "what's out there for runners", "is Watt a fit for X", "what else relates to Y" — or type /watt:explore. | Skills | — |
uinaf/skills Audit, score, or improve existing skills with Tessl review output, metadata checks, repo conventions, and skill-authoring best practices. Use when creating or revising a skill, asking why a skill did not activate, checking skill quality, comparing a skill against `AGENTS.md`, `CLAUDE.md`, or repo rules, or preparing a skill for publish. Do not use to verify general application code or to rewrite unrelated docs. | Skills | — |
basdijkstra/agentic-engineering-training Collect a testimonial (name, rating, text, email) and publish it to testimonials.html | Skills | — |
Elric412/Frontend-Enhancer Build distinctive, high-quality frontend interfaces. Use when users request web components, pages, landing pages, portfolios, or creative applications. Generates production-ready code with creative typography, layered color systems, fluid motion choreography, and inventive layouts. Eliminates generic AI aesthetics. Say "Prime" for maximum quality. | Skills | — |
elvisun/loss-function-development Design a loss function and harness for a long-running /goal optimization run (loss-function development, LFD). Use when the user wants to set up an autonomous optimization loop, distill a product from public artifacts, turn a spec into an optimization target, or asks to design a /goal. Observes the existing environment, interrogates the task, ingests or generates the spec, builds a blinded eval, generates and verifies the harness, red-teams the target for cheats, and emits goal.md ready to launch. Re-invoke in patch mode when a running loop cheated and the loss function needs patching. | Skills | — |
tollens-ai/effective-comms-skills Run a prepare → review → revise pass over an agent-written user-facing output (report, status update, strategy doc, review finding, handoff, recommendation) before it is finalized. Builds a short communications brief, reviews the draft against it and against named agent-writing failure modes (assumed context, numbered references without meaning, retained rejected ideas, leaked process history, buried recommendation), then revises or flags residual risk. | Skills | — |
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