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.
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.
Full skill instructions
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
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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