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Found 1,198 Skills
Meta-orchestrator (L0): reads kanban board, lets user pick ONE Story, drives it through pipeline 300->310->400->500 via TeamCreate. User-confirmed merge to develop after quality gate PASS.
Spec-driven development framework with iterative refinement. Orchestrates feature development from intent to implementation via structured specs and task breakdown. Triggers on "/spec.plan", "/spec.refine", "/spec.clarify", "/spec.tasks", "/spec.run", "I want to build", "I want to add", "create spec", "spec-driven", "feature spec".
Unified lifecycle orchestrator for attune project development. Auto-detects project state, selects mission type, routes through phases via Skill() delegation, and manages session recovery. Wraps brainstorm-specify-plan-execute into a single mission lifecycle.
Orchestrate the full edge research pipeline from candidate detection through strategy design, review, revision, and export. Use when coordinating multi-stage edge research workflows end-to-end.
Autonomous coding agent. Delegate any task that involves understanding, writing, or running code — from a GitHub issue, a bug report, or a user request. It explores, implements, and verifies on its own.
Default task orchestrator for all development and investigation work. Classifies tasks, decomposes into parallel workstreams if appropriate, and routes execution through the recipe runner. Replaces ultrathink-orchestrator.
A comprehensive development team tailored for beginners, consisting of product managers, architects, designers, developers, and testers, guiding you through the entire process from concept to launch.
Create or update the skill registry for the current project. Scans user skills and project conventions, writes .atl/skill-registry.md, and saves to engram if available. Trigger: When user says "update skills", "skill registry", "actualizar skills", "update registry", or after installing/removing skills.
2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection
Design exploration with parallel agents. Use when brainstorming ideas, exploring solutions, or comparing alternatives.
Agent skill for workflow - invoke with $agent-workflow
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.