Audit Workspace Capabilities
Your AI audits your repo, servers, plugins, and environment to reveal current capabilities and recommend next steps. It identifies available skills, hooks, agents, and missing integrations without exposing secrets.
affaan-m on GitHub
Curated by PromptsEdge from a public repo · MIT license. All credit goes to the author.
What is this skill?
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?"
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
This is the ECC-native answer to setup-audit plugins. It does not modify files unless the user explicitly asks for follow-up implementation.
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:
- 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
- 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
- Connected tool surface
- Installed plugins, enabled connectors, MCP servers, LSPs, and app integrations
- 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:
- what they actually do
- whether ECC already has parity
- whether ECC only has primitives
- 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 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.
Output Format
Return five sections in this order:
- Current surface
- what is already usable right now
- Parity
- where ECC already matches or exceeds the benchmark
- Primitive-only gaps
- tools exist, but ECC lacks a clean operator skill
- Missing integrations
- capability not available yet
- 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.
Install this skill
- 1
Get the skill — it’s free
Use the Get this skill panel. Unlocked skills stay in My skills. - 2
Download or clone the files
Download the zip, or clone the repo and copy theskills/workspace-surface-auditfolder. - 3
Put it where your agent looks for skills
For Claude Code, use your personal skills folder (every project) or a project’s own folder:~/.claude/skills/workspace-surface-audit/SKILL.md # all projects .claude/skills/workspace-surface-audit/SKILL.md # this project only
- 4
Just ask
No command needed. The agent reads the skill’s description and loads it on its own when your request matches.
SKILL.md frontmatter
What your agent reads to decide when to load this skill.
--- name: workspace-surface-audit description: 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. ---
Files
Open any Markdown file to read it here.
Related skills
View all →- Post to X (Twitter)FreeYour AI posts tweets and threads, reads your mentions, and searches X for content. It manages OAuth authentication and respects rate limits to keep posts and searches reliable.
- Windows Desktop E2E TestingFreeYour AI writes and runs end-to-end tests for Windows native desktop apps using pywinauto and Windows UI Automation. It supports WPF, WinForms, Win32/MFC, and Qt apps, including CI/CD integration and testability improvements.
- Create and Improve SkillsFreeYour AI helps you create new skills or improve existing ones by drafting, testing, evaluating, and rewriting them. It runs test prompts, analyzes results quantitatively and qualitatively, and guides you through iterative refinement.
- Vue 3 and Nuxt PatternsFreeGet guidance on Vue 3 Composition API, Pinia state management, Vue Router, and Nuxt SSR patterns. It covers component design, reactivity, routing, testing, and project structure best practices.