Go from prompting to building agent skills that work, for you and your team.
Every plan starts with a 14-day free trial. No credit card.
Outline a root-cause analysis for a recurring production bug. Break the problem into root causes before jumping to solutions. Add the specific scenario below.
Outline a root-cause analysis for a recurring production bug. A ready-to-use Problem Solving prompt template.
What you don't understand today could hold you back tomorrow. We help you and your team stay relevant, grow your skills, and get confident using AI, not just watching others do it.
This isn't about becoming a coder. It's about building real-world intuition through experimenting, learning from peers, and a community that's learning with you.
AI won't replace you. People who master it will.
Everyone has AI now. So everyone's reviewing AI-written decks, strategies and reports that look finished but aren't. When AI gets used like "just Google it," the work doesn't get faster. It moves to whoever has to fix it.
Skills give AI your standards, your steps and your SOPs, so it gets it right the first time instead of handing the mess to someone else.
See Skill.md filesUsing AI isn't the advantage anymore. Using it well is.
A growing library.276,342 prompts and Skill.md files. Every free one opens in full.
Text, image and video prompts. Know it works before you spend a token: every free prompt opens in full.
Slow motion video of a phone screen scrolling through a viral social feed.
Macro close-up video of a programmer typing rapidly as code streams across dual monitors.
Slow motion video of a data dashboard updating live with cascading glowing charts.
Cinematic wide shot video of a phone screen scrolling through a viral social feed.
Improve a dashboard's data storytelling narrative. Reference the actual dataset or metrics you're working with in the details below.
Improve a dashboard's data storytelling narrative. A ready-to-use Data Analysis prompt template.
Charcoal sketch rendering of a control room wall of pulsing analytics dashboards.
Black and white noir video of a night market food tour.
Teach Claude a skill once, not every chat. Each Skill.md names the GitHub repo it came from, so you can check exactly what it tells your AI to do.
--- name: verification-loop description: Run a six-phase verification of a Claude Code session's work — build, type check, lint, tests with coverage, security grep, and diff review — then produce a PASS/FAIL verification report. Use when verifying work after completing a feature or refactor, before creating a PR, or when quality gates must pass. ---
--- name: context-budget description: Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations. Use when the context window is filling up too fast and the agents, skills, MCP servers, or rules consuming it need to be identified. ---
--- name: gateguard description: PreToolUse fact-forcing gate that denies the first Edit/Write/Bash (including MultiEdit) attempt until the agent presents concrete facts (importers, data schemas, verbatim user instruction), then allows retry; A/B-tested at +2.25 quality points. Use when enabling or configuring the GateGuard hook, exempting paths via env vars, or handling first-touch denials. ---
--- name: hookify-rules description: Create and configure hookify rules — markdown files with YAML frontmatter that match bash, file, prompt, or stop events by regex or conditions and show warn/block messages to the agent. Use when creating a hookify rule, writing hook rule syntax, configuring hookify, or adding pattern guardrails such as blocking dangerous commands, .env edits, or debug code. ---
--- name: agent-introspection-debugging description: Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry. ---
--- name: agent-sort description: Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle. ---
--- name: api-design description: REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning. ---
Teach your AI a skill once, not every chat.
--- name: verification-loop description: Run a six-phase verification of a Claude Code session's work — build, type check, lint, tests with coverage, security grep, and diff review — then produce a PASS/FAIL verification report. Use when verifying work after completing a feature or refactor, before creating a PR, or when quality gates must pass. ---
SKILL.mdwhat it does, and when your AI should reach for itreference/the files it needs open while it worksscripts/the tool it runs, if it needs oneGreat prompts aren't magic. They're four answers. Fill them in and watch your prompt build itself.
Straight answers. If yours isn't here, ask us.
Start using AI in your work with what's already been figured out.
Every plan starts with a 14-day free trial. No credit card.
