Total 55,338 skills, AI & Machine Learning has 9196 skills
Showing 12 of 9196 skills
Audit and optimize Claude Code configuration with dynamic best-practice research
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Minimal realtime ASR smoke test for Model Studio Qwen ASR Realtime.
Use when the user wants stable structured fields, required keys, reliable machine-readable sections, or downstream-consumable output from one model request, including `.output(...)`, field ordering, and `ensure_keys`.
Use when the user wants tool use, MCP access, HTTP or streaming API exposure, auto-function helpers, or wait-for-key behavior through Agently-native extension surfaces rather than custom wrappers first.
Workflow automation hooks for agent-playbook skills. This skill defines automatic triggers between skills - DO NOT use directly, it's a configuration skill that other skills reference.
Automatically coordinates multi-skill workflows and triggers follow-up actions. Use when completing PRD creation, implementation, or any milestone that should trigger additional skills. This skill reads the auto-trigger configuration and executes the workflow chain.
Discover agent-native CLIs for professional software. Access the live catalog to find tools for creative workflows, productivity, AI, and more.
Installs agents, configures MCP servers, syncs configs, creates and audits instructions. Use after setup or when agents/MCP need alignment.
Writes or reviews lyrics with professional prosody, rhyme craft, and quality checks. Use when writing new lyrics, revising existing lyrics, or when the user says 'let's work on a track.'
Provides rules for handling multi-language documentation. Use this when configuring agent skill documents using starlight-skills on an i18n-enabled project. Do not use this for standard single-language sites or plugin configuration options.
BMad Autonomous Development — orchestrates parallel story implementation pipelines. Builds a dependency graph, updates PR status from GitHub, picks stories from the backlog, and runs each through create → dev → review → PR in parallel — each story isolated in its own git worktree — using dedicated subagents with fresh context windows. Loops through the entire sprint plan in batches, with optional epic retrospective. Use when the user says "run BAD", "start autonomous development", "automate the sprint", "run the pipeline", "kick off the sprint", or "start the dev pipeline". Run /bad setup or /bad configure to install and configure the module.