coding-standards
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
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 Claude Code or understanding what capabilities are actually available in their environment.
Full skill instructions
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:
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
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.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.
Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
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