AI Electronics Compatibility & Buying Advisor Agent
by Shandra
Recommends electronics products and checks compatibility based on customer use case, budget, existing devices, technical level, preferences, required specs, and useful accessories.
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300 skills found
by Shandra
Recommends electronics products and checks compatibility based on customer use case, budget, existing devices, technical level, preferences, required specs, and useful accessories.
Turn generic, crowded AI agent ideas into sharp, differentiated marketplace products with specific buyer problems.
Write the delegation brief that lets a background or async agent succeed unattended — precise goal, hard constraints, testable acceptance criteria, a verification plan, and stop-and-escalate rules. Turns "go fix the flaky tests" into a spec an agent can actually execute.
by Shippers
Developers waste time re-explaining their project architecture, conventions, and decisions to AI coding agents in every
by Corey Jacobs
Automated compatibility testing and evidence generation for MCP servers against Codex and Qwen clients.
by SkillBill
Audits your Claude Code project setup and flags what's broken, misconfigured, or risky. With ready-to-paste fixes.
Turns your agent into a psychometrician that builds, validates, and troubleshoots measures — reliability, validity, factor analysis, IRT, and measurement invariance.
A professional per-route decision framework for rendering, caching, security boundaries, SEO and TypeScript defaults — the judgement, not the documentation. Works on any stack.
by Timoranjes
Teaches AI coding agents to implement production-grade structured logging, error handling, and observability from the first line of code. For developers deploying agent-built services who are tired of debugging black boxes.
by Timoranjes
Teaches AI coding agents the discipline of context engineering — designing what information the agent sees, when, and in what format — to dramatically reduce token waste, prevent session amnesia, and
by Echo Rose
Color Palette Pro - A Premium AI Agent Skill
Adversarially audit your agent hooks before you trust them. Catches command injection, secret leakage, over-broad matchers, destructive actions, and blocking-logic mistakes in pre/post-tool-use, prompt, and stop hooks — with a PASS or REVISE verdict and severity-ranked fixes.
Diagnose and fix context-window problems in your agent setup. Inventories everything that loads — memory files, skills, MCP tool definitions, hooks — estimates where the budget goes, maps your symptoms to causes, and prescribes concrete trims, restructures, and session habits, rewriting the files where that's the fix.
by Echo Rose
Cd Pipeline - A Premium AI Agent Skill
Model what your LLM app or agent will cost, find where the money goes, and get a plan to cut it. Per-request and monthly projections, ranked cost drivers, an optimization plan with estimated savings, and unit economics against your pricing — with the arithmetic shown.
by Timoranjes
Transform your AI agent from a code generator into a senior architect that enforces clean design and SOLID principles.
Scan your OpenClaw config for the settings that quietly hand your agent too much power: unrestricted exec, open inbound DMs, secrets committed in config, the deny-write bypass, sandbox turned off, dangerous Docker binds, and elevated tools. Read-only, plain-English findings, grounded in the OpenClaw docs.
Design the right team of specialized AI subagents for your project and get the definition files written properly — precise delegation triggers, focused system prompts, least-privilege tools, and the right model tier for each job. Includes a template, orchestration patterns, and a complete sample team.
by Echo Rose
Code Green Badge - A Premium AI Agent Skill
by Echo Rose
Ai Trend Monitor - A Premium AI Agent Skill
Read-only Windows scan for supply-chain worms and AI-assistant persistence that antivirus misses — with wiper-safe cleanup.
by Echo Rose
Api Security Scanner - A Premium AI Agent Skill
by Echo Rose
Angular Component Library - A Premium AI Agent Skill
by Timoranjes
Teaches AI coding agents to systematically verify their own work before declaring "done." Implements a structured five-check verification gauntlet (build/test/lint/git-diff/runtime) that the agent run