acceptance-orchestrato…
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance…
Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation.
Claude Code
$ npx -y skills add sinhoneyy/master-skills --skill context-driven-development --agent claude-code
Codex
$ npx skills add sinhoneyy/master-skills --skill context-driven-development -a codex -y
Cursor
$ npx skills add sinhoneyy/master-skills --skill context-driven-development -a cursor -y
Gemini CLI
$ npx skills add sinhoneyy/master-skills --skill context-driven-development -a gemini-cli -y
GitHub Copilot
$ npx skills add sinhoneyy/master-skills --skill context-driven-development -a github-copilot -y
OpenCode
$ npx skills add sinhoneyy/master-skills --skill context-driven-development -a opencode -y
Windsurf
$ npx skills add sinhoneyy/master-skills --skill context-driven-development -a windsurf -y
name: context-driven-development description: "Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation." risk: unknown source: community date_added: '2026-02-27'
Guide for implementing and maintaining context as a managed artifact alongside code, enabling consistent AI interactions and team alignment through structured project documentation.
Context-Driven Development treats project context as a first-class artifact managed alongside code. Instead of relying on ad-hoc prompts or scattered documentation, establish a persistent, structured foundation that informs all AI interactions.
Key principles:
1. **Context precedes code**: Define what you're building and how before implementation 2. **Living documentation**: Context artifacts evolve with the project 3. **Single source of truth**: One canonical location for each type of information 4. **AI alignment**: Consistent context produces consistent AI behavior
Follow the **Context → Spec & Plan → Implement** workflow:
1. **Context Phase**: Establish or verify project context artifacts exist and are current 2. **Specification Phase**: Define requirements and acceptance criteria for work units 3. **Planning Phase**: Break specifications into phased, actionable tasks 4. **Implementation Phase**: Execute tasks following established workflow patterns
Purpose: Captures product vision, goals, target users, and business context.
Contents:
Update when:
Purpose: Establishes brand voice, messaging standards, and communication patterns.
Contents:
Update when:
Purpose: Documents technology choices, dependencies, and architectural decisions.
Contents:
Update when:
Purpose: Establishes development practices, quality gates, and team workflows.
Contents:
Update when:
Purpose: Registry of all work units with status and metadata.
Contents:
Update when:
Ensure changes in one artifact reflect in related documents:
Before adding any new dependency:
1. Check if existing dependencies solve the need 2. Document the rationale for new dependencies 3. Add version constraints 4. Note any configuration requirements
After completing a feature track:
1. Move feature from "planned" to "implemented" in product.md 2. Update any affected success metrics 3. Document any scope changes from original plan
Before starting any track:
1. Read all context artifacts 2. Flag any outdated information 3. Propose updates before proceeding 4. Confirm context accuracy with stakeholders
For new projects:
1. Run `/conductor:setup` to create all artifacts interactively 2. Answer questions about product vision, tech preferences, and workflow 3. Generate initial style guides for chosen languages 4. Create empty tracks registry
Characteristics:
For existing codebases:
1. Run `/conductor:setup` with existing codebase detection 2. System analyz
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