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Found 82 Skills
Connect the complete AI development workflow through documents. It covers domain modeling and code organization (DDD), behavior verification and automated testing (BDD), as well as AI development specification setting (Agent specifications). Use when (1) the project has .feature files, (2) the user asks to organize code by business features or define naming conventions, (3) creating or updating AGENTS.md / project rule files, (4) writing or implementing Gherkin scenarios, (5) starting a new project from scratch, or (6) the agent needs the full development lifecycle.
Check reference SDK implementations using btca ask
QLTY During Development
Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan → Work → Review → Compound loop where each unit of engineering makes subsequent work easier. Triggers on: plan this feature, implement this, review this code, compound learnings, create implementation plan, systematic development.
Structured development workflow that separates research, planning, and implementation into distinct phases with persistent markdown artifacts. Use when starting any non-trivial feature, refactor, bug investigation, or codebase change. Trigger on: "deep work", "research and plan", "plan before coding", "write a plan", "research this codebase", "don't code yet", "understand then implement", or when the user wants a disciplined approach to a complex task. Also use when the user says "research", "plan", "annotate", "implement the plan", or references research.md/plan.md artifacts.
Orchestrate the 9-step skill development lifecycle for the CaldiaWorks Skills repository. Guides through ideation, issue creation, planning, branch creation, requirements definition, skill implementation, commit, pull request, and post-merge issue cleanup. Use when: skill development workflow, develop a skill end-to-end, skill-dev-workflow, /skill-dev-workflow, create and publish a skill.
Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.
Use this when you have a written implementation plan and execute it in separate sessions with review checkpoints
Comprehensive web, mobile, and backend development workflow bundling frontend, backend, full-stack, and mobile development skills for end-to-end application delivery.
Implement a project from its documentation and specification. Use when asked to "implement project", "continue implementation", "build from docs", "implement from spec", or when the user wants to progressively implement a documented project following a todo checklist. Reads docs/, creates implementation plans and todo lists, and implements incrementally with tests and commits.
Specification-driven development with structured phases: Initialize, Plan, Tasks, Implement+Validate. Creates structured feature specs with traceability to requirements. Use when: starting projects, planning features, implementing with verification, or tracking decisions across sessions. Also use when the user wants to break a feature into tasks, plan before coding, track implementation progress, set up a new project structure, or organize work into specs and plans. Triggers on "map codebase", "initialize", "initialize project", "create feature", "plan", "tasks", "implement", "validate", "archive", "break this into tasks", "plan this feature", "start a new project".
Structured implementation planning for multi-step development tasks. Use when you have a spec or requirements and need to break work into executable steps.