Agent-alchemy feature-dev
Feature development workflow with exploration, architecture, implementation, and review phases. Use for implementing new features or significant changes.
git clone https://github.com/sequenzia/agent-alchemy
T=$(mktemp -d) && git clone --depth=1 https://github.com/sequenzia/agent-alchemy "$T" && mkdir -p ~/.claude/skills && cp -r "$T/ported/20260310/all/skills-nested/feature-dev" ~/.claude/skills/sequenzia-agent-alchemy-feature-dev-f85476 && rm -rf "$T"
ported/20260310/all/skills-nested/feature-dev/SKILL.mdFeature Development Workflow
Execute a structured 7-phase feature development workflow. This workflow guides you through understanding, exploring, designing, implementing, and reviewing a feature.
Phase Overview
Execute these phases in order:
- Discovery - Understand the feature requirements
- Codebase Exploration - Map relevant code areas
- Clarifying Questions - Resolve ambiguities
- Architecture Design - Design the implementation approach
- Implementation - Build the feature
- Quality Review - Review for issues
- Summary - Document accomplishments
Phase 1: Discovery
Goal: Understand what the user wants to build.
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Analyze the feature description from
:$ARGUMENTS- What is the core functionality?
- What are the expected inputs and outputs?
- Are there any constraints mentioned?
- What success criteria can you infer?
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Summarize your understanding to the user. Prompt the user to confirm if your understanding is correct before proceeding.
Phase 2: Codebase Exploration
Goal: Understand the relevant parts of the codebase.
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Run deep-analysis workflow:
- Refer to the deep-analysis skill (from the core-tools package) and follow its workflow
- Pass the feature description from Phase 1 as the analysis context
- This handles reconnaissance, team planning, parallel exploration, and synthesis
- Deep-analysis may return cached results if a valid exploration cache exists. When invoked by another skill, cache hits are auto-accepted to avoid redundant exploration.
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Present the synthesized analysis to the user.
Phase 3: Clarifying Questions
Goal: Resolve any ambiguities before designing.
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Review the feature requirements and exploration findings.
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Identify underspecified aspects:
- Edge cases not covered
- Technical decisions that could go multiple ways
- Integration points that need clarification
- Performance or scale requirements
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Ask clarifying questions: Prompt the user to get answers for critical unknowns. Only ask questions that would significantly impact the implementation.
If no clarifying questions are needed, inform the user and proceed.
Phase 4: Architecture Design
Goal: Design the implementation approach.
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Load reference skills for this phase:
- Refer to the architecture-patterns skill for pattern guidance
- Refer to the language-patterns skill (from the core-tools package) for language-specific patterns
- Refer to the technical-diagrams skill (from the core-tools package) for Mermaid diagram styling rules in architecture proposals
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Launch architecture agents:
Spawn 2-3 architecture design agents with different approaches:
- Agent 1: Design a minimal, focused approach prioritizing simplicity
- Agent 2: Design a flexible, extensible approach prioritizing future changes
- Agent 3: Design an approach optimized for the project's existing patterns (if applicable)
Refer to the code-architect agent (from the core-tools package) for this role.
Each agent receives:
- Feature description
- Design approach emphasis
- Summary of relevant files and patterns from codebase exploration
- Instructions to list files to create/modify, describe changes, explain data flow, and identify risks
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Present approaches:
- Summarize each approach
- Compare trade-offs (simplicity, flexibility, performance, maintainability)
- Make a recommendation with justification
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User chooses approach: Prompt the user to select an approach or request modifications.
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Generate ADR artifact:
Create an Architecture Decision Record documenting:
- Context: Why this feature is needed
- Decision: The chosen approach
- Consequences: Trade-offs and implications
- Alternatives: Other approaches considered
ADR Template:
# ADR-NNNN: [Title] **Date:** YYYY-MM-DD **Status:** Accepted **Feature:** [Feature name/description] ## Context [Describe the situation: what problem, what constraints, what driving forces] ## Decision [What approach, key architectural choices, technologies/patterns selected] ## Consequences ### Positive - [Benefits] ### Negative - [Tradeoffs] ### Risks - [Risk and mitigation] ## Alternatives Considered ### Alternative 1: [Name] [Brief description] - **Pros:** [List] - **Cons:** [List] - **Why rejected:** [Reason] ## Implementation Notes [Key files, patterns, integration points]- Determine the next ADR number by checking existing files in
internal/docs/adr/ - Save to
(create directory if needed)internal/docs/adr/NNNN-[feature-slug].md - Inform the user of the saved ADR location
Phase 5: Implementation
Goal: Build the feature.
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Require explicit approval: Ask the user: "Ready to begin implementation of [feature] using [chosen approach]?" Wait for confirmation before proceeding.
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Read all relevant files: Before making any changes, read the complete content of every file you'll modify.
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Implement the feature:
- Follow the chosen architecture design
- Match existing code patterns and conventions
- Create new files as needed
- Update existing files
- Add appropriate error handling
- Include inline comments only where logic isn't obvious
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Test if applicable:
- If the project has tests, add tests for the new functionality
- Run existing tests to ensure nothing broke
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Proceed immediately to Phase 6.
Phase 6: Quality Review
Goal: Review the implementation for issues.
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Load reference skill for this phase:
- Refer to the code-quality skill for review criteria
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Launch code-reviewer agents:
Spawn 3 code-reviewer agents with different focuses:
- Agent 1: Review for correctness and edge cases
- Agent 2: Review for security and error handling
- Agent 3: Review for maintainability and code quality
Each agent receives:
- Review focus area
- List of files modified/created
- Instructions to report issues with confidence scores (0-100), suggestions, and positive observations
- Only report issues with confidence >= 80
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Aggregate findings:
- Collect results from all reviewers
- Deduplicate similar issues
- Prioritize by severity and confidence
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Present findings: Show the user:
- Critical issues (must fix)
- Moderate issues (should fix)
- Minor suggestions (nice to have)
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User decides: Prompt the user:
- "Fix all issues now"
- "Fix critical issues only"
- "Proceed without fixes"
- "I'll fix manually later"
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If fixing: make the changes and re-review if needed.
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Proceed immediately to Phase 7.
Phase 7: Summary
Goal: Document and celebrate accomplishments.
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Summarize accomplishments: Present to the user:
- What was built
- Key files created/modified
- Architecture decisions made
- Architecture diagram (Mermaid flowchart showing the implemented structure)
- Any known limitations or future work
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Update CHANGELOG.md:
Create an entry under the
section following Keep a Changelog guidelines:[Unreleased]Changelog Entry Template:
### Added - Add [feature name] with [key capability] ### Changed - Update [component] to [new behavior] ### Fixed - Fix [issue description]Instructions:
- Locate CHANGELOG.md in the repository root (create if it doesn't exist)
- Find the
section[Unreleased] - Choose the appropriate category (Added, Changed, Fixed, etc.)
- Use imperative mood ("Add feature" not "Added feature")
- Focus on user-facing changes, one line per distinct change
- Reference related ADRs if applicable (e.g., "Add JWT-based authentication (see ADR-0003)")
Refer to the changelog-format skill for additional Keep a Changelog guidelines.
Categories Reference:
Category Use For Added New features Changed Changes to existing functionality Deprecated Features that will be removed in future Removed Features that were removed Fixed Bug fixes Security Security improvements -
Final message: Congratulate the user and offer next steps:
- Commit the changes
- Create a PR
- Additional testing suggestions
Error Handling
If any phase fails:
- Explain what went wrong
- Ask the user how to proceed:
- Retry the phase
- Skip to next phase
- Abort the workflow
Agent Coordination
Exploration and synthesis agent coordination is handled by the deep-analysis skill in Phase 2, which manages parallel exploration agents and a synthesis agent. Deep-analysis performs reconnaissance, composes a team plan, assembles the team, and manages the exploration/synthesis lifecycle.
When launching other parallel agents (code-architect from core-tools, code-reviewer):
- Give each agent a distinct focus area
- Wait for all agents to complete before proceeding
- Handle agent failures gracefully (continue with partial results)
Integration Notes
What this component does: Orchestrates a complete 7-phase feature development lifecycle: discovery, codebase exploration (via deep-analysis), clarifying questions, architecture design with multiple proposals, implementation, quality review, and summary with changelog update. Capabilities needed: Shell execution, file reading/writing/editing, pattern search, sub-agent spawning (code-architect from core-tools, code-reviewer, deep-analysis from core-tools), user interaction. Adaptation guidance: This skill depends heavily on sub-agent coordination. Phase 2 delegates to deep-analysis (core-tools). Phase 4 spawns architecture agents. Phase 6 spawns reviewer agents. Adapt agent spawning to your platform's sub-task mechanism. The ADR template and changelog entry template are inlined in this skill. Sub-agent capabilities: Code-architect agents (from core-tools) need read-only file access and search for producing architecture proposals. Code-reviewer agents need read-only file access and search for producing review reports with confidence-scored findings.