skills/workspace-surface-audit/SKILL.md
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.
npx skillsauth add affaan-m/everything-claude-code workspace-surface-auditInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Read-only audit skill for answering the question "what can this workspace and machine actually do right now, and what should we add or enable next?"
This is the ECC-native answer to setup-audit plugins. It does not modify files unless the user explicitly asks for follow-up implementation.
.env, .mcp.json, plugin settings, or connected-app surfaces to find missing workflow layersInspect only the files and settings needed to answer the question well:
package.json, lockfiles, language markers, framework config, README.md.mcp.json, .lsp.json, .claude/settings*.json, .codex/*AGENTS.md, CLAUDE.md, install manifests, hook configs.env* files in the active repo and obvious adjacent ECC workspacesSTRIPE_API_KEY, TWILIO_AUTH_TOKEN, FAL_KEYProduce a compact inventory:
If a surface exists only as a primitive, call that out. Example:
Compare the workspace against:
Do not just list names. For each comparison, answer:
For every real gap, recommend the correct ECC-native shape:
| Gap Type | Preferred ECC Shape | |----------|---------------------| | Repeatable operator workflow | Skill | | Automatic enforcement or side-effect | Hook | | Specialized delegated role | Agent | | External tool bridge | MCP server or connector | | Install/bootstrap guidance | Setup or audit skill |
Default to user-facing skills that orchestrate existing tools when the need is operational rather than infrastructural.
Return five sections in this order:
data-ai
Run team-based orchestration for agent squads using work items, ownership, agent Kanban, merge gates, and control pane handoffs.
data-ai
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
development
React component testing with React Testing Library, Vitest/Jest, MSW for network mocking, accessibility assertions with axe, and the decision boundary between component tests and Playwright/Cypress end-to-end runs. Use when writing or fixing tests for React components, hooks, or pages.
tools
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance.