Loading...
Loading...
Found 13,352 Skills
Use when executing implementation plans with independent tasks in the current session
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when agents must debate, conference, deliberate, or reach consensus on a goal — competing positions argue and converge on one deliverable, adversarial review with synthesis, multi-stakeholder deliberation, structured disagreement with a forcing-field deliverable. Triggers: 'have agents debate X', 'reach consensus on Y', 'argue distinct positions and converge'. Not for saved team configs, agents/<slug> artifacts, implementation, or open-ended research.
Goal-driven E2E testing where a browser agent (Playwright MCP / computer-use) reads a natural-language goal and explores the app via the accessibility tree to assert outcomes — no pre-written script. Covers when intent-driven beats scripted, making agent runs deterministic (pinned model, temperature 0, seeded data, bounded steps, explicit success assertion, snapshot-not-pixel), cost/latency control, the accessibility-tree-first interaction model, CI gating, and graduating a stable run into a scripted Playwright test. Use when: "agentic browser test," "goal-driven browser test," "let an agent explore the app," "natural-language E2E," "browser agent smoke test," "Playwright MCP test." Not for: Writing/maintaining deterministic scripted Playwright tests — that is playwright-automation. Testing your product's OWN LLM features — that is ai-system-testing. Related: playwright-automation, ai-system-testing, exploratory-testing, test-reliability, qa-project-context.
Iteratively refine code via requested rounds of parallel subagent review and orchestrator-applied fixes, with bounded adaptive continuation enabled by default for productive runs. Use when the user says "let's do three rounds", "fix/review loop", "back-and-forth review", "iterative review", or asks to harden a change with multiple rounds of codex/claude review.
Scaffolds a headless agent in TypeScript using @openrouter/agent and Bun — for CLI tools, API servers, queue workers, and pipelines. No terminal UI. Use when building a headless agent, programmatic agent, CLI tool that uses AI, batch agent, pipeline agent, API agent, agent without a UI, or agent service.
Active, Socratic teacher for the LangChain Academy Deep Agents course — drives the student through the curriculum with a calibrated interaction density, explain-then-check dialogue at load-bearing moments, and misconception-targeted questioning
Agent Session Visualization / Session Timeline: Execution maps for Cursor, Codex, Claude Code, Workbuddy, kimi-code threads (by ID or name); includes skills/tools/sub-agents, retries/forks/waits, layered internationalization + session health. Triggers (English): agent thread visualizer, agent-thread-visualizer, agent session timeline, session report, session log analyzer, agent flow visualization, execution map, conversation visualizer, subagent timeline, debug agent session, visualize the run, Cursor session, Claude Code session, Workbuddy session, kimi-code session. (Chinese): agent session visualization, session visualization, agent timeline, sub-agent visualization, session report, session analysis, execution map, agent execution flow, debug agent session, Cursor session, Claude Code session, Workbuddy session, kimi-code session. (Japanese): agent session visualization, session visualization, agent timeline, sub-agent visualization, session report, execution map, agent execution flow, Cursor session, Claude Code session, Workbuddy session, kimi-code session.
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
Mechanics library for running AI coding CLIs as managed tmux workers via agent-tmux <cli> <command> (plus tmux-agent-sessions and the other bundled tools). Entry point is the using-tmux-agent-tools router skill — route through it first; read this skill for wrapper mechanics it defers to. Covers start/send-wait/status/result/stop, structured result.json completion, multi-worker watch, profiles for custom CLIs, and bounded dialogue/fanout. Not for general tmux config, theming, non-tmux headless CLI use, or human team debate.
Guide the agent on creating visually distinctive, polished Vaadin 25 interfaces that go beyond default theme styling. This skill should be used when the user asks to "make it look good", "improve the design", "style the view", "make it visually appealing", "add polish", "design a UI", "create a beautiful interface", or when building a new view where visual quality matters. Also trigger when the user wants to add animations, visual effects, or build polished component compositions in a Vaadin application.
Build, test, publish, invoke, schedule, and update Railcode managed agents with the Railcode CLI. Use when creating an organization or personal managed agent, editing an agent manifest (JSON or YAML), running a draft or saved agent, investigating a run, managing its cron schedule, running it from Slack (@Railcode $agent), pairing it with a companion app, processing files in its sandbox, or using personal connectors (Gmail, Slack, ...) on behalf of one owner. Do not use for static Railcode apps, in-app LLM tool loops (llm.generate({ tools }) — see create-railcode-app), or general organization administration.