Skip to content
FunCoding

Search

Search docs, Skills and MCP

nw-command-optimization-workflow

Step-by-step workflow for converting bloated command files to lean declarative definitions

前端开发617nWave/skills/nw-command-optimization-workflow/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/nwave-ai/nwave/nw-command-optimization-workflow/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.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.

Similar Skills

frontend-design
anthropics/skills180k

frontend-design

Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.

Frontend

web-artifacts-builder
anthropics/skills180k

web-artifacts-builder

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Frontend

api-and-interface-design
addyosmani/agent-skills103k

api-and-interface-design

Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.

Frontend

frontend-ui-engineering
addyosmani/agent-skills103k

frontend-ui-engineering

Builds production-quality, accessible, responsive user-facing UIs. Use when building or modifying interfaces and pages, creating components, implementing layouts, meeting WCAG accessibility requirements, managing state, or when the output needs to look and feel production-quality rather than AI-generated.

Frontend

performance-optimization
addyosmani/agent-skills103k

performance-optimization

Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.

Frontend

html-ppt-graphify-dark-graph
nexu-io/open-design100k

html-ppt-graphify-dark-graph

OpenDesign's feature business case for the plugin marketplace: the user pain, options, tradeoffs, and the measure of success. Built as a decision-grade product management deck for PM, eng, design, leadership.

Frontend