workspace-surface-audit
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 Gemini CLI or understanding what capabilities are actually available in their environment.
Best use case
workspace-surface-audit is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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 Gemini CLI or understanding what capabilities are actually available in their environment.
Teams using workspace-surface-audit should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/workspace-surface-audit/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How workspace-surface-audit Compares
| Feature / Agent | workspace-surface-audit | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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 Gemini CLI or understanding what capabilities are actually available in their environment.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 Gemini CLI", "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`, `.gemini/settings*.json`, `.codex/*` - `AGENTS.md`, `GEMINI.md`, install manifests, hook configs 2. 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` 3. Connected tool surface - Installed plugins, enabled connectors, MCP servers, LSPs, and app integrations 4. 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 Gemini plugins that overlap with setup, review, docs, design, or workflow quality - locally installed plugins in Gemini 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 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: 1. **Current surface** - what is already usable right now 2. **Parity** - where ECC already matches or exceeds the benchmark 3. **Primitive-only gaps** - tools exist, but ECC lacks a clean operator skill 4. **Missing integrations** - capability not available yet 5. **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.
Related Skills
google-workspace-ops
Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.
ecc-tools-cost-audit
Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.
click-path-audit
Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.
automation-audit-ops
Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.
x-api
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
visa-doc-translate
Translate visa application documents (images) to English and create a bilingual PDF with original and translation
videodb
See, Understand, Act on video and audio. See- ingest from local files, URLs, RTSP/live feeds, or live record desktop; return realtime context and playable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.
video-editing
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
verification-loop
Comprehensive verification system for code changes
unified-notifications-ops
Operate notifications as one ECC-native workflow across GitHub, Linear, desktop alerts, hooks, and connected communication surfaces. Use when the real problem is alert routing, deduplication, escalation, or inbox collapse.
ui-demo
Record polished UI demo videos using Playwright. Use when the user asks to create a demo, walkthrough, screen recording, or tutorial video of a web application. Produces WebM videos with visible cursor, natural pacing, and professional feel.
token-budget-advisor
Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or "token" refers to auth/session/payment tokens rather than response size.