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ecc-guide

Guide users through ECC

Qu'est-ce que ecc-guide ?

ecc-guide is a Claude Code agent skill that guide users through ECC.

Compatible avec✓Claude Code✓Codex CLI✓Cursor✓Gemini CLI✓OpenCode
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/ecc-guide
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Documentation

ECC Guide

Use this skill when a user needs help understanding, navigating, installing, or choosing parts of Everything Claude Code.

When To Use

Use this skill when the user:

  • asks what ECC includes
  • wants help finding a skill, command, agent, hook, rule, or install profile
  • is new to the repository and needs a guided path
  • asks "how do I do X with ECC?"
  • asks which ECC components fit a project
  • needs a lightweight explanation of how commands, skills, agents, hooks, and rules relate
  • is confused by install paths, duplicate installs, reset/uninstall, or selective install options

Core Principle

Answer from current files, not memory. ECC changes quickly, so hard-coded catalog counts, feature lists, and install instructions go stale.

When the ECC repository is available, inspect the relevant files before giving a concrete answer:

node scripts/ci/catalog.js --json
find skills -maxdepth 2 -name SKILL.md | sort
find commands -maxdepth 1 -name '*.md' | sort
find agents -maxdepth 1 -name '*.md' | sort
node scripts/install-plan.js --list-profiles
node scripts/install-plan.js --list-components --json

Use the smallest set of reads needed for the user's question.

Repository Map

  • README.md: install paths, uninstall/reset guidance, public positioning, FAQs
  • AGENTS.md: contributor guidance and project structure
  • agent.yaml: exported gitagent surface and command list
  • commands/: maintained slash-command compatibility shims
  • skills/*/SKILL.md: reusable workflows and domain playbooks
  • agents/*.md: delegated subagent role prompts
  • rules/: language and harness rules
  • hooks/README.md, hooks/hooks.json, scripts/hooks/: hook behavior and safety gates
  • manifests/install-*.json: selective install modules, components, profiles, and target support
  • docs/: harness guides, architecture notes, translated docs, release docs

Response Style

Lead with the answer, then give the next action. Most users do not need a full catalog dump.

Good first response shape:

  1. what to use
  2. why it fits
  3. exact file or command to inspect
  4. one next command or question

Avoid:

  • listing every skill or command by default
  • repeating large README sections
  • recommending retired command shims when a skill-first path exists
  • claiming a component exists without checking the filesystem
  • replacing install guidance with manual copy commands when the managed installer supports the target

Common Tasks

New User Onboarding

Give a short menu:

  • install or reset ECC
  • pick skills for a project
  • understand commands vs skills
  • inspect hooks and safety behavior
  • run a harness audit
  • find a specific workflow

Point to README.md for install/reset and /project-init for project-specific onboarding.

Feature Discovery

For "what should I use for X?":

  1. Search skills/, commands/, and agents/.
  2. Prefer skills as the primary workflow surface.
  3. Use commands only when they are a maintained compatibility shim or a user explicitly wants slash-command behavior.
  4. Mention agents when delegation is useful.

Useful searches:

rg -n "<query>" skills commands agents docs
find skills -maxdepth 2 -name SKILL.md | sort

Install Guidance

Use managed install paths:

node scripts/install-plan.js --list-profiles
node scripts/install-plan.js --profile minimal --target claude --json
node scripts/install-apply.js --profile minimal --target claude --dry-run

For specific skill installs:

node scripts/install-plan.js --skills <skill-id> --target claude --json
node scripts/install-apply.js --skills <skill-id> --target claude --dry-run

Warn users not to stack plugin installs and full manual/profile installs unless they intentionally want duplicate surfaces.

Project Onboarding

Use /project-init when the user wants ECC configured for a target repo. The expected sequence is:

  1. detect the stack from project files
  2. resolve a dry-run install plan
  3. inspect existing CLAUDE.md and settings files
  4. ask before applying changes
  5. keep generated guidance minimal and repo-specific

Troubleshooting

Ask for the target harness and install path first, then inspect:

  • plugin install metadata
  • .claude/, .cursor/, .codex/, .gemini/, .opencode/, .codebuddy/, .joycode/, or .qwen/
  • hooks/hooks.json
  • install-state files
  • relevant command/skill files

For repo health, suggest:

npm run harness:audit -- --format text
npm run observability:ready
npm test

Output Templates

Short Recommendation

Use <skill-or-command>. It fits because <reason>.

Canonical file: <path>
Verify with: <command>
Next: <one concrete action>

Search Results

Best matches:
- <path>: <why it matters>
- <path>: <why it matters>

Recommendation: <which one to use first and why>

Install Plan Summary

Detected: <stack evidence>
Target: <harness>
Plan: <profile/modules/skills>
Dry run: <command>
Would change: <paths>
Needs approval before apply: <yes/no>

Related Surfaces

  • /project-init: stack-aware onboarding plan for a target repo
  • /harness-audit: deterministic readiness scorecard
  • /skill-health: skill quality review
  • /skill-create: generate a new skill from local git history
  • /security-scan: inspect Claude/OpenCode configuration security

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳：このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/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.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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