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Found 42 Skills
Create and run durable workflows with steps, streaming, and agent execution. Covers starting, resuming, and persisting workflow results.
Unified command interface for the autonomous idea intake workflow system
Generate comprehensive documentation with intelligent orchestration and parallel execution
Create, manage, and execute agent tools (claude, codex) inside Docker sandboxes for isolated code execution. Use when running agent loops, spawning tool subprocesses, or any task requiring process isolation. Triggers on "sandbox", "isolated execution", "docker sandbox", "safe agent execution", or when working on agent loop infrastructure.
CX Workflow - Task Execution and Contract Validation. Triggered when users mention phrases such as "execute task", "start development", "implement feature", "write code", "continue working", "next task". It follows a 5-step process: Read Task → Implementation → Contract Validation → Testing → Submission. It uses local task-{n}.md and status.json files to automatically verify whether the implementation conforms to the contract. cx-summary will be automatically triggered after all tasks are completed.
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Configurable pipeline orchestrator for sequencing stages
[Hyper] Immediately start working on a given task with adaptive thinking depth — light thinking for easy tasks, deep thinking for hard ones. Use when the user wants immediate execution, not diagnosis, planning, or review.
Create install.md files optimized for AI agent execution. Use for ANY question about install.md files or request to create/review installation documentation for autonomous agent use.
Use when you have specs or requirements for a multi-step task to break it down into detailed tasks, before executing it
Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection and quality-focused prompting
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop