2,226 tools found
Triage UI Verify visual changes through MCP, compare baseline and candidate images, and review comments before accepting new baselines.
Build Pixeltable multimodal backends with declared tables, computed columns, embedding indexes, and HTTP routes in one application file.
Find NeverApply job matches, prepare resumes and interviews, and track applications with explicit approval before each state-changing action.
SIwithin runs an agent CLI unattended on a brief, inside a fence around the folders you give it and under a dollar budget, and leaves one record per run. It keeps three promises with a tool and not with hope:
Let your AI agent read your WhatsApp messages.
Coding agents relearn the same things every session: which files to open, how the tests run, what broke last time. MuscleMemory watches your agent work. When a task really succeeds (the tests pass after the last change), it learns how the task was done. The next time a similar task comes up, it hands the agent a short note: the files to change, the test that proves it worked, and what to avoid.
AI-DLC (AI-Driven Development Life Cycle) turns AI coding assistants into structured, verifiable software-delivery workflows. One harness-neutral core runs natively in Claude Code, Kiro CLI, Kiro IDE, Codex CLI, Cursor, opencode, and GitHub Copilot.
A plugin for your coding agent that turns an app into cloud infrastructure you can actually review, with the monthly bill attached.
```sh brew install graphicle-ai/tap/graphicle cd your-repo graphicle setup ```
- **Fast.** Simple asks skip the AI: an app opens in 0.08 s. Ask for an action once and Atticus learns it, so next time it runs in a blink, with no AI and for free. - **No API key.** It runs on the Claude Pro or Max plan you already have, through Claude Code. Nothing to sign up for, no key to paste, no extra bill. - **Remembers you.** Say "remember…" and every ask after that knows it. It picks up who you are (your name, your apps) and fixes its own mistakes when you correct it.
Measure text and UI contrast across light and dark CSS tokens, then propose a single passing color value for each failing token.
Calibrate cross-sectional signal tests with assay-lite, measure detectable effects, and track every trial before interpreting results.
