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Found 877 Skills
Full-featured computational pathology toolkit. Use for advanced WSI analysis including multiplexed immunofluorescence (CODEX, Vectra), nucleus segmentation, tissue graph construction, and ML model training on pathology data. Supports 160+ slide formats. For simple tile extraction from H&E slides, histolab may be simpler.
Spec-driven development pipeline orchestrator. Given a URL or text description, automatically generates specs, implements code, runs codex review, applies security gate, executes tests, syncs docs, and notifies via Telegram. Triggers on: /start-workflow, start workflow, build feature, implement feature, spec-driven, start pipeline.
Build and debug Enable Banking API integrations for account information (AIS), payment initiation (PIS), ASPSP discovery, user sessions, JWT authentication with RSA certificates, sandbox setup, and TypeScript/Node clients. Use when Codex needs to implement Enable Banking request flows, generate or validate bearer JWTs, model Enable Banking schemas, handle PSU redirect callbacks, fetch accounts/balances/transactions, create payments, or troubleshoot Enable Banking API errors.
Guide Enable Banking Control Panel workflows for account signup, API application registration, sandbox/production setup, dedicated infrastructure selection, browser-generated or externally provided keys, production activation, account-link restricted mode, request logs, application statistics, application sharing, ASPSP status, Data Insights, Mock ASPSPs, and MFA. Use when Codex needs to explain or implement operational steps that depend on Enable Banking Control Panel configuration.
Autonomously set up an OpenClaw bot on a fresh Yandex Cloud VM in Kazakhstan (kz1-a, Karaganda). Asks the user for exactly two things — a Telegram bot token and one of three LLM access options (Anthropic API key, OpenRouter API key, or OpenAI Codex OAuth via ChatGPT Plus/Pro subscription) — then handles VM creation, hardening, OpenClaw install, CEO AI OS workspace seeding, Telegram pairing, chat_id auto-detection, and bot-reply verification on its own. The only other actions the user performs are pressing /start in Telegram once and (if Codex) confirming a device code on auth.openai.com. Use when the user says install OpenClaw to Yandex Cloud, deploy OpenClaw to YC Kazakhstan, set up my CEO bot in YC KZ, I am at OpenClaw workshop and need my own bot, create a Yandex Cloud VM for OpenClaw, or any close paraphrase. Targets a ~15-minute end-to-end run for non-DevOps users (founders, CEOs, marketing leads). Supports two modes of accessing Yandex Cloud — Plan A (the user's own YC Kazakhstan account via OAuth) and Plan B (a workshop-key bundle provided by the workshop organizer, for participants without their own YC account). The mode is auto-detected from the inputs. For local-machine OpenClaw install, use openclaw/install.sh in this repo instead. Companion skill openclaw-guide is required; prepare-yc-workshop is the matching organizer-side skill that produces the bundles consumed in Plan B; openclaw-user-onboarding is auto-invoked after Step 5 to collect the five basic facts about the user (identity, focus, style, tools, anti-patterns) and write them into USER.md so the bot is useful from message one.
Use this skill whenever a user wants to run, install, configure, or understand open-ralph-wiggum (ralph). This skill can be used by any AI assistant or IDE agent (GitHub Copilot, Claude Code, Cursor, Windsurf, etc.). Triggers on: "ralph", "ralph wiggum", "agentic loop", "iterative AI loop", "autonomous coding loop", "how to install ralph", "how to use ralph with Claude Code / Codex / Copilot / OpenCode", "ralph --agent", "ralph --tasks", "ralph --status", "--max-iterations", "--rotation", "how do I run ralph in VS Code / Cursor / JetBrains / Neovim", or any question about looping an AI coding agent until a task is done. Even if the user doesn't say "ralph" explicitly — if they want to run an AI agent in a loop until a promise tag appears in its output, use this skill.
Premium UI design engineering skill for creating, redesigning, polishing, and judging product-specific interfaces with senior-level craft. Use when Codex works on frontend design, UX/UI, design systems, dashboards, SaaS apps, landing pages, commerce, portfolios, visual polish, interaction quality, or wants output in the spirit of Vercel, Linear, Raycast, Awwwards, and high-end product teams. Composes with no-slop as the anti-generic gate.
Audit an implementation against a plan (docs/codex-plans/*). Use when a user asks to check for gaps, logic errors, or missing tests relative to a plan or Work Items.
Reusable CSS motion library for Animation Master. Use when Codex needs to add, copy, adapt, or package local `.t-*` CSS animation effects for element motion, UI transitions, text motion, number rolling, badges, menus, modals, page transitions, hover states, or one-click CSS snippets.
Local Skill Cleaner. Scans skills in Claude Code, Codex, Grok, general Agents and specified directories to identify content that violates user authorization, such as advertising diversion, hidden commercial intent, task hijacking, suspicious external calls, sensitive data reading, etc.; by default, it only generates a report and quarantines problematic skills after user confirmation. Trigger methods: /dbs-skill-cleaner, /clean skills, /check skills, "scan local skills", "detect skill ads", "remove problematic skills", "review my skills" Local skill cleaner. Scans installed or specified skills for advertising, covert commercial intent, task hijacking, suspicious external calls, and sensitive-data access. Reports first and quarantines only after explicit confirmation. Trigger: /dbs-skill-cleaner, /clean skills, /check skills, "scan my local skills", "detect skill ads", "clean problematic skills"
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.
Harvest coding-agent session transcripts already on disk (Claude Code, Codex, OpenCode, Cursor, Pi) and extract durable knowledge — topics, people, facts, events, quotes — into whatever persistent memory the agent can reach. Cursor-tracked, budgeted, read-only on sources. Use when asked to collect/import/mine session history into memory, build memory from past sessions, or as a scheduled task. Composes with memory-gardener, which tends what this skill plants.