rules-workflows_skill

Overview

This skill standardizes project context (Rules) and automates complex multi-step tasks (Workflows) to act as an Autonomous Process Orchestrator. It enforces a "think before you act" philosophy so agents analyze goals, map required capabilities, and separate process from implementation. The skill aligns agent behavior with Agile best practices and project constraints.

How this skill works

Before creating or executing a rule or workflow, the agent analyzes the user's goal, identifies which other skills are required (e.g., frontend, backend, QA), and designs a sequence of steps that delegate implementation details to the appropriate skill. It consults internal reference guides for rule formats, workflow checkpoints, and orchestration patterns, then composes, validates, and executes workflows with checkpoints and self-correction hooks. Feedback and code inspection can trigger automated rule updates or new workflow generation.

When to use it

• Standardize decision-making and context for a multi-skill project
• Automate repeatable, multi-step engineering tasks across teams
• Coordinate skill chaining for spec-first or TDD development
• Create adaptive rules that evolve from user feedback or codebase analysis
• Enforce checkpoints, rollbacks, and conflict resolution in complex processes

Best practices

• Always analyze the user goal and required capabilities before composing a workflow
• Keep workflows focused on process; delegate how-to knowledge to specialized skills
• Use sequential thinking for complex tasks and insert checkpoints for validation
• Maintain a reference library of rule templates and orchestration patterns
• Enable explicit feedback loops so rules and workflows can self-correct

Example use cases

• Onboard a new feature: orchestrate design spec, API contract, implementation, and QA steps with automated handoffs
• Create a project-specific rule set from a codebase scan to standardize linting, tests, and deployment gates
• Run a multi-skill release workflow that enforces checkpoints, generates changelogs, and triggers rollbacks on failure
• Convert user feedback into updated rules that disable or modify agent behaviors
• Compose a test-driven workflow that chains spec generation, unit tests, and CI configuration