affaan-m/everything-claude-code/workspace-surface-audit

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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.

Install

npx vskill@latest install affaan-m/everything-claude-code/workspace-surface-audit

SKILL.md

Workspace Surface Audit

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.

When to Use

  • User says "set up Claude Code", "recommend automations", "what plugins or MCPs should I use?", or "what am I missing?"
  • Auditing a machine or repo before installing more skills, hooks, or connectors
  • Comparing official marketplace plugins against ECC-native coverage
  • Reviewing .env, .mcp.json, plugin settings, or connected-app surfaces to find missing workflow layers
  • Deciding whether a capability should be a skill, hook, agent, MCP, or external connector

Non-Negotiable Rules

  • Never print secret values. Surface only provider names, capability names, file paths, and whether a key or config exists.
  • Prefer ECC-native workflows over generic "install another plugin" advice when ECC can reasonably own the surface.
  • Treat external plugins as benchmarks and inspiration, not authoritative product boundaries.
  • Separate three things clearly:
  • already available now
  • available but not wrapped well in ECC
  • not available and would require a new integration

Audit Inputs

Inspect only the files and settings needed to answer the question well:

  1. Repo surface
  • 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
  1. Environment surface
  • .env* files in the active repo and obvious adjacent ECC workspaces
  • Surface only key names such as STRIPE_API_KEY, TWILIO_AUTH_TOKEN, FAL_KEY
  1. Connected tool surface
  • Installed plugins, enabled connectors, MCP servers, LSPs, and app integrations
  1. ECC surface
  • Existing skills, commands, hooks, agents, and install modules that already cover the need

Audit Process

Phase 1: Inventory What Exists

Produce a compact inventory:

  • active harness targets
  • installed plugins and connected apps
  • configured MCP servers
  • configured LSP servers
  • env-backed services implied by key names
  • existing ECC skills already relevant to the workspace

If a surface exists only as a primitive, call that out. Example:

  • "Stripe is available via connected app, but ECC lacks a billing-operator skill"
  • "Google Drive is connected, but there is no ECC-native Google Workspace operator workflow"
Phase 2: Benchmark Against Official and Installed Surfaces

Compare the workspace against:

  • official Claude plugins that overlap with setup, review, docs, design, or workflow quality
  • locally installed plugins in Claude or Codex
  • the user's currently connected app surfaces

Do not just list names. For each comparison, answer:

  1. what they actually do
  2. whether ECC already has parity
  3. whether ECC only has primitives
  4. whether ECC is missing the workflow entirely
Phase 3: Turn Gaps Into ECC Decisions

For every real gap, recommend the correct ECC-native shape:

Gap TypePreferred ECC Shape
Repeatable operator workflowSkill
Automatic enforcement or side-effectHook
Specialized delegated roleAgent
External tool bridgeMCP server or connector
Install/bootstrap guidanceSetup or audit skill

Default to user-facing skills that orchestrate existing tools when the need is operational rather than infrastructural.

Output Format

Return five sections in this order:

  1. Current surface
  • what is already usable right now
  1. Parity
  • where ECC already matches or exceeds the benchmark
  1. Primitive-only gaps
  • tools exist, but ECC lacks a clean operator skill
  1. Missing integrations
  • capability not available yet
  1. Top 3-5 next moves
  • concrete ECC-native additions, ordered by impact

Recommendation Rules

  • Recommend at most 1-2 highest-value ideas per category.
  • Favor skills with obvious user intent and business value:
  • setup audit
  • billing/customer ops
  • issue/program ops
  • Google Workspace ops
  • deployment/ops control
  • If a connector is company-specific, recommend it only when it is genuinely available or clearly useful to the user's workflow.
  • If ECC already has a strong primitive, propose a wrapper skill instead of inventing a brand-new subsystem.

Good Outcomes

  • The user can immediately see what is connected, what is missing, and what ECC should own next.
  • Recommendations are specific enough to implement in the repo without another discovery pass.
  • The final answer is organized around workflows, not API brands.

Security

  • Security scanPassed, 96 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
170,608
Repository forks
26,444
Repository npm downloads, 7 days
1,473
7-day trend score
78

Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 30 Apr 2026, 5 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
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