nw-command-optimization-workflow
The nw-command-optimization-workflow systematically reduces oversized command files from 500-2400 lines to lean 40-300 line definitions by analyzing content distribution, extracting shared boilerplate into reusable skills, moving domain knowledge to specialized agents, removing dead code and aggressive language, and condensing examples. Use this workflow when command files exhibit duplication across multiple commands, contain methodology details better owned by domain agents, or prioritize aggressive tone over clear instruction.
git clone --depth 1 https://github.com/nWave-ai/nWave /tmp/nw-command-optimization-workflow && cp -r /tmp/nw-command-optimization-workflow/nWave/skills/nw-command-optimization-workflow ~/.claude/skills/nw-command-optimization-workflowSKILL.md
# Command Optimization Workflow ## Overview Convert oversized commands (500-2400 lines) to lean declarative definitions (40-300 lines) by removing duplication, extracting domain knowledge to agents, and adopting the forge.md pattern. ## Phase 1: Analyze 1. **Classify**: dispatcher, orchestrator, or simple 2. **Measure**: `wc -l` the file 3. **Identify content categories** (approximate %): parameter parsing/validation | Workflow/orchestration logic | Agent prompt templates | Examples/documentation | Error handling | Boilerplate (orchestrator briefing, agent registry) 4. **Flag reducible content**: Duplication from other commands (orchestrator briefing, agent registry, parameter parsing) | Domain knowledge belonging in agents (TDD phases, review criteria, methodology) | Dead code (deprecated formats, aspirational features, old signatures) | Verbose examples (JSON blocks exceeding 3 examples) | Aggressive language (count CRITICAL/MANDATORY/MUST) ## Phase 2: Extract ### 2a: Remove shared boilerplate These blocks appear in 5-12 commands, extract to shared orchestrator preamble skill: - "Sub-agents have NO ACCESS to Skill tool" briefing (~20-30 lines/file) - Agent registry with capabilities (~15-20 lines/file) - Parameter parsing rules (~10-15 lines/file) - Pre-invocation validation checklist (~10-15 lines/file) - "What NOT to include" blocks (~8-12 lines/file) After extraction, command references preamble. ### 2b: Move domain knowledge to agents If command contains HOW the agent works, move to agent definition or skill: - TDD phase details -> nw-software-crafter | DIVIO templates -> nw-documentarist | Refactoring hierarchies -> nw-software-crafter | BDD/Gherkin -> nw-acceptance-designer | Review criteria -> reviewer agent | Mutation testing config -> nw-software-crafter Command retains WHAT and success criteria. Agent owns HOW. ### 2c: Delete dead content Remove: deprecated format references | Aspirational unimplemented features | Verbose JSON contradicting current format | BUILD:INJECT placeholders | Mixed-language comments ### 2d: Reduce aggressive language - "CRITICAL: You MUST extract..." -> "Extract..." - "MANDATORY: Use the Task tool" -> "Use the Task tool" - "NON-NEGOTIABLE requirement" -> Remove adjective entirely ### 2e: Condense examples Keep 2-3 canonical examples max. Each demonstrates distinct pattern (correct usage, edge case, common mistake). ## Phase 3: Restructure Apply declarative command template (load `command-design-patterns` skill): 1. Header: wave, agent, overview 2. Context files required 3. Agent invocation with configuration 4. Success criteria 5. Next wave handoff 6. Expected outputs For orchestrators, add Phases section between overview and agent invocation. ## Phase 4: Validate - [ ] Under size target (dispatchers: 40-150, orchestrators: 100-300) - [ ] No duplicated boilerplate - [ ] No domain knowledge belonging in agents - [ ] No aggressive language (CRITICAL/MANDATORY/MUST count = 0) - [ ] 2-3 examples max - [ ] No dead code or deprecated references - [ ] Declarative structure (WHAT not HOW) - [ ] Measurable success criteria - [ ] Clear agent invocation pattern ## Phase 5: Measure and Report Report before/after: Line count (target 60-80% reduction for large files) | Content categories removed/moved | Aggressive language removed | Dependencies created (shared preamble, agent skill additions) ## Special Case: develop.md (Mega-Orchestrator) develop.md at 2,394 lines requires special handling: 1. Embeds 6+ sub-command workflows inline 2. Should reference sub-commands, not embed them 3. Orchestration logic (phase sequencing, resume) is legitimate -- keep it 4. Agent prompt templates for sub-commands -> replace with references 5. Target: 200-300 lines of pure orchestration Approach: extract orchestration phases as lean sequence (which agent, which command, what context, what gate), remove all embedded sub-command content. ## Shared Orchestrator Preamble Extract common orchestrator knowledge to single shared skill: - Architectural constraint about sub-agent tool access - Valid agent list with brief capabilities - Standard parameter parsing rules - Pre-invocation validation pattern - Correct/wrong invocation examples (2 each) Estimated: ~60-80 lines. Replaces ~620 lines duplicated across commands.
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.