// 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.
React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.
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.
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.
Agent-driven scheduling and publishing of social media posts across 13 platforms via SocialClaw. Use when the user wants to publish to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, or Pinterest — or when managing campaigns, uploading media, or monitoring post delivery status.
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches.
Accessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building any interactive UI component or form.
| name | automation-audit-ops |
| description | 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. |
| origin | ECC |
Use this when the user asks what automations are live, which jobs are broken, where overlap exists, or what tooling and connectors are actually doing useful work right now.
This is an audit-first operator skill. The job is to produce an evidence-backed inventory and a keep / merge / cut / fix-next recommendation set before rewriting anything.
Pull these ECC-native skills into the workflow when relevant:
workspace-surface-audit for connector, MCP, hook, and app inventoryknowledge-ops when the audit needs to reconcile live repo truth with durable contextgithub-ops when the answer depends on CI, scheduled workflows, issues, or PR automationecc-tools-cost-audit when the real problem is webhook fanout, queued jobs, or billing burn in the sibling app reporesearch-ops when local inventory must be compared against current platform support or public docsverification-loop for proving post-fix state instead of relying on assumed recoveryRead the current live surface before theorizing:
Group them by surface:
For every surfaced automation, mark:
Then classify the problem type:
Back every important claim with a concrete source:
If the current state is ambiguous, say so directly instead of pretending the audit is complete.
For each overlapping or suspect surface, return one call:
The value is in collapsing noisy automation into one canonical ECC lane, not in preserving every historical path.
CURRENT SURFACE
- automation
- source
- live state
- proof
FINDINGS
- active breakage
- overlap
- stale status
- missing capability
RECOMMENDATION
- keep
- merge
- cut
- fix next
NEXT ECC MOVE
- exact skill / hook / workflow / app lane to strengthen