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Found 6,675 Skills
Extract and structure fuzzy product ideas into validated problem statements, target users, and jobs-to-be-done. Use when a user has a raw idea, concept, or solution in mind but hasn't clearly articulated the problem, target user, or assumptions. This skill helps users communicate context to coding agents more effectively, reducing iteration cycles and "that's not what I meant" moments.
Use when creating new skills, commands, or agent definitions for Claude Code, including writing SKILL.md files, defining triggers, and testing skill behavior
Diff-aware AI browser testing — analyzes git changes, generates targeted test plans, and executes them via agent-browser. Reads git diff to determine what changed, maps changes to affected pages via route map, generates a test plan scoped to the diff, and runs it with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, running regression checks on changed components, or validating that recent code changes don't break the user-facing experience.
Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, post tasks with bounties, check earnings or wallet balance, sell digital products, list services, or set up as a 0xWork worker/poster. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: managing the 0xWork platform or frontend development.
Vercel Sandbox guidance — ephemeral Firecracker microVMs for running untrusted code safely. Supports AI agents, code generation, and experimentation. Use when executing user-generated or AI-generated code in isolation.
Use a persistent Codex sidecar thread from the local `codex-sidecar` CLI for design review, implementation advice, debugging, and context-preserving follow-up questions while keeping the current agent as the primary executor.
Integrated AI agent orchestration skill that combines plannotator, ralphmode, team or bmad execution, agent-browser verification, and agentation feedback loops, while maintaining a project-local `.jeo` ledger for planning, development, and QA. Use when the user wants an end-to-end multi-agent workflow with plan approval, implementation, UI review, cleanup, and durable task history. Triggers on: jeo, annotate, ui-review, multi-agent orchestration.
Enhanced browser automation extending agent-browser CLI with parallel multi-tab operations, CAPTCHA/automation-block detection, login-watch, and per-domain site experience. Triggers: 'parallel browse', 'open multiple tabs', 'batch scrape', 'captcha check', 'automation blocked', 'site pattern', 'better browser', 'cdp proxy', 'parallel tabs', 'login watch'.
Use when the user says "silly sausage", "silly-sausage", invokes /silly-sausage, or expresses lighthearted exasperation at a mistake the agent made. Also triggers on the phrase appearing anywhere in user input — no slash required.
Validate, audit, and fix agent skills for agentskills.io spec compliance. Use when creating a new skill structure, auditing an existing skill against the specification, fixing common spec deviations, or reviewing frontmatter, directory layout, progressive disclosure, or script interfaces. Triggers on "validate skill", "audit skill", "spec compliance", "fix skill structure", "skill frontmatter", "SKILL.md format", or "agent skills spec".
Use this skill whenever calling agent-uml MCP tools (design_create, diagram_upsert, design_feedback, design_export) to render PlantUML diagrams on the collaborative canvas. Covers three tiers — rendering safety (syntax that prevents HTTP 400 blank canvas), conversation mechanics (when to push a version vs ask a question, what to write in the message parameter), and design effectiveness (decomposition thresholds, cross-diagram traceability, export readiness). Trigger even when the task seems simple — a missing `as alias` makes elements un-annotatable, and a skinparam mismatch makes diagrams unreadable on the warm
Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets. Use this skill when the user needs to evaluate CS team performance, identify top complaint drivers, optimize staffing, or build CS dashboards — even if they say 'is our CS team doing well', 'what are customers complaining about', 'how many agents do we need', or 'build a CS dashboard'.